CN110324852B - Method and device for calculating uplink throughput - Google Patents

Abstract

The embodiment of the invention provides a method and a device for calculating uplink throughput, relates to the technical field of communication, and solves the problem of how to calculate the uplink throughput of a 5G cell. The method comprises the steps of obtaining a scene map of a cell and a first uplink throughput and a CSI-RSRP value of at least one measuring point in a coverage area of the cell; determining the probability of the CSI-RSRP value appearing in a CSI-RSRP interval according to the CSI-RSRP value; determining a second uplink throughput of each CSI-RSRP interval according to the first uplink throughput and the CSI-RSRP value; and determining the third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval and the scene map.

Description

Method and device for calculating uplink throughput

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for calculating uplink throughput.

Background

Currently, the fifth Generation mobile communication technology (5 th-Generation, abbreviated as 5G) is the first communication standard mainly developed in china, and the standard is basically frozen at present. From the view of the device morphology, a New 5G air interface (NR) is a novel base station formed by combining high power (200W), large bandwidth (100MHz) and large-scale antenna technology, and as shown in fig. 1, the NR has multiple subcarriers and can perform beamforming. 5G is different from the traditional cellular mobile network, and the large-scale antenna equipment and the strong computing power of the equipment can greatly realize the pairing among different users, for example, after a good point user and a middle point user are paired, the throughput is 1.2 times or more of that of the two independent transmissions. Therefore, the uplink throughput of the cell cannot be simply evaluated by using the good throughput, the middle throughput and the bad throughput of the fourth Generation mobile communication technology (hereinafter, referred to as the 4th Generation mobile communication technology, abbreviated as 4G).

From the above, how to calculate the uplink throughput of the 5G cell becomes an urgent problem to be solved.

Disclosure of Invention

The embodiment of the invention provides a method and a device for calculating uplink throughput, which solve the problem of how to calculate the uplink throughput of a 5G cell.

In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:

in a first aspect, an embodiment of the present invention provides a method for calculating uplink throughput, including: acquiring a scene map of a cell and a first uplink throughput and a CSI-RSRP value of at least one measuring point in a coverage area of the cell; determining the probability of the CSI-RSRP value appearing in a CSI-RSRP interval according to the CSI-RSRP value; determining a second uplink throughput of each CSI-RSRP interval according to the first uplink throughput and the CSI-RSRP value; and determining the third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval and the scene map.

As can be seen from the foregoing solution, in the uplink throughput calculation method provided in the embodiment of the present invention, the second uplink throughput of each CSI-RSRP interval is determined according to the first uplink throughput and the CSI-RSRP value of at least one measurement point within the coverage area of the cell, so as to establish a corresponding relationship between different CSI-RSRP intervals and the second uplink throughput; meanwhile, according to the CSI-RSRP value of at least one measuring point, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval is determined, and therefore the corresponding relation between the CSI-RSRP value and the CSI-RSRP interval is determined; finally, determining a third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval and a scene map; therefore, the uplink throughput of the 5G cell can be calculated by the method for calculating the uplink throughput provided by the embodiment of the invention, and the problem of how to calculate the uplink throughput of the 5G cell is solved.

In a second aspect, an embodiment of the present invention provides an uplink throughput calculation apparatus, including: the device comprises an acquisition unit, a measurement unit and a control unit, wherein the acquisition unit is used for acquiring a scene map of a cell and a first uplink throughput and a CSI-RSRP value of at least one measurement point in a coverage area of the cell; the processing unit is used for determining the probability of the CSI-RSRP value appearing in the CSI-RSRP interval according to the CSI-RSRP value acquired by the acquisition unit; the processing unit is further used for determining a second uplink throughput of each CSI-RSRP interval according to the first uplink throughput and the CSI-RSRP value acquired by the acquiring unit; and the processing unit is further used for determining the third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval and the scene map acquired by the acquisition unit.

In a third aspect, an embodiment of the present invention provides an uplink throughput calculation apparatus, including: communication interface, processor, memory, bus; the memory is used for storing computer-executable instructions, the processor is connected with the memory through the bus, and when the upstream throughput computing device runs, the processor executes the computer-executable instructions stored in the memory, so that the upstream throughput computing device executes the method provided by the first aspect.

In a fourth aspect, an embodiment of the present invention provides a computer storage medium comprising instructions which, when run on a computer, cause the computer to perform the method as provided in the first aspect above.

It can be understood that any one of the above-provided computing devices for uplink throughput is configured to execute the method according to the first aspect, and therefore, the beneficial effects that can be achieved by the computing device for uplink throughput refer to the beneficial effects of the method according to the first aspect and the corresponding schemes in the following detailed description, which are not described herein again.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a schematic view of the internal structure of a prior art 5G NR;

fig. 2 is a hardware system architecture diagram of a method for calculating uplink throughput according to an embodiment of the present invention;

fig. 3 is a device deployment diagram of a hardware simulation part of a method for calculating uplink throughput according to an embodiment of the present invention;

fig. 4 is a flowchart illustrating a method for calculating uplink throughput according to an embodiment of the present invention;

fig. 5 is a second flowchart illustrating a method for calculating uplink throughput according to an embodiment of the present invention;

fig. 6 is a CDF curve of a method for calculating uplink throughput according to an embodiment of the present invention;

fig. 7 is a schematic diagram illustrating a correlation of a method for calculating uplink throughput according to an embodiment of the present invention;

fig. 8 is a second schematic diagram illustrating the correlation of a method for calculating the uplink throughput according to the embodiment of the present invention;

fig. 9 is a schematic diagram of CSI-RSRP-throughput when the correlation degree of the method for calculating uplink throughput is 0.3 according to the embodiment of the present invention;

fig. 10 is a third schematic flowchart of a method for calculating uplink throughput according to an embodiment of the present invention;

fig. 11 is a fourth schematic flowchart of a method for calculating uplink throughput according to an embodiment of the present invention;

fig. 12 is a schematic structural diagram of an uplink throughput calculation apparatus according to an embodiment of the present invention;

fig. 13 is a second schematic structural diagram of an uplink throughput calculation apparatus according to an embodiment of the present invention.

Reference numerals:

calculating the uplink throughput-10;

an acquisition unit-101; a processing unit-102.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", and the like are used for distinguishing the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the words "first", "second", and the like are not limited in number or execution order.

In the embodiments of the present invention, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

In the description of the embodiments of the present invention, the meaning of "a plurality" means two or more unless otherwise specified. For example, a plurality of networks refers to two or more networks.

The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The symbol "/" herein denotes a relationship in which the associated object is or, for example, a/B denotes a or B.

The method for calculating the uplink throughput provided by the embodiment of the invention is suitable for the base station and the User Equipment (User Equipment, UE for short) shown in figure 1; when a base station sends (transport, TX) information, data is transmitted through k transmission links; when the kth transmission link is used for transmitting information, the kth transmission link comprises: firstly, according to a symbol (symbol) carried in a sub-baseband (sub-baseband) k (where the symbol refers to information that a base station needs to transmit), then performing Inverse Fast Fourier Transform (IFFT) on the symbol according to a carrier spacing (sub-carrier spacing) k to obtain a signal k, and further adding (add) a cyclic redundancy Code (CP) to the signal k_kThereafter, the CP is added by the beamforming filter (beamforming filter) pair_kPerforming signal processing on the signal k to obtain a signal k after the wave beam forming is performed on the kth transmission link; and finally, performing beam integration on the signals k subjected to beam forming by each transmission link, and transmitting the signals subjected to beam integration to a signal receiving end through an antenna, thereby realizing information transmission.

When the UE receives (receives, RX) a symbol carried on the subband k from the base station through the antenna, the UE first performs signal processing on the symbol through a shaping filter to obtain a processed signal, then removes a CP of the signal, then performs Fast Fourier Transform (FFT) on the CP-removed signal according to a carrier interval k, and then performs Orthogonal Frequency Division Multiplexing (OFDM) detection on the subband i of the FFT-signal-processed signal, thereby converting the symbol carried on the subband k and transmitted by the antenna receiving base station into a signal recognizable to the UE.

Fig. 2 shows a system architecture of a method for calculating uplink throughput, including: an acquisition unit and a processing unit; the acquiring unit is used for acquiring Channel State Information (CSI-RSRP) distribution data and uplink throughput data of User Equipment (UE), and the processing unit is used for calculating the average uplink throughput of the cell according to the CSI-RSRP distribution data acquired by the acquiring unit and the uplink throughput data of the UE; when the obtaining unit obtains the uplink throughput data of the UE, radio frequency direct connection is carried out through the UE, the NR and a channel simulator or a phase shifter and an attenuator, and a multi-user differentiated distribution scene without channel environment influence is formed.

As shown in fig. 3, the hardware simulation diagram of 4 UEs accessing the simulation system includes: UE-1, a channel simulator-2 and a base station 3; the channel simulator has the functions of a phase shifter and a programmable attenuator; a plurality of possible scenes in the current network are obtained by specifying the CSI-RSRP position of UE and the correlation degree between the UE, so that the UE-1 establishes a data communication link through a channel simulator-2 and a base station-3, User Datagram Protocol (UDP) or File Transfer Protocol (FTP) service is carried out, and the uplink throughput (T ') of a single UE is obtained'_NAnd T'_D) And finally calculating the upper and lower throughputs (T) of the differentiated distribution of a plurality of users_NAnd T_D)。

When the obtaining unit obtains the CSI-RSRP distribution data, the obtaining unit obtains a first uplink throughput and a CSI-RSRP value of each test point by collecting the CSI-RSRP value and throughput data of each UE of each test point; in practical application, multi-user access approaches to real user distribution, but the problems that the number of required terminals is too large and the control is difficult exist. The channel influence mainly considers a channel scene including various situations in an actual environment, and after large-scale influence such as path loss is specified, small-scale influence is also considered. The small-scale model can be generally classified as Non-Line of Sight (NLOS) or Line of Sight (LOS). The entity part mainly completes the difference between LOS and NLOS and CSI-RSRP under no channel influence, and acquires the CSI-RSRP CDF distribution under the channel influence

At present, the average capacity of a cell is needed to plan a network transmission module in 5G commercial deployment, and due to different uplink capacities needed in different scenes, the highest capacity is 20Mbps and the actually-measured limit capacity is 5Mbps in the 4G stage, so that the uplink throughput of the cell is measured by using about 50% of the limit capacity; the actually measured limit capacity at the 5G stage is 30 Mbps; because the limit capacity of the 4G stage and the 5G stage is greatly different from the highest capacity, if the uplink throughput of the cell is measured by continuously using about 50% of the limit capacity, the transmission resource waste in a low-flow area or the transmission resource shortage in a high-flow area can be caused; in order to solve the above problem, according to the method for calculating uplink throughput provided by the embodiment of the present invention, the uplink throughput of a cell is calculated according to a scene map of the cell and a first uplink throughput and a CSI-RSRP value of at least one measurement point within a coverage area of the cell, so that the calculation of the uplink throughput of different cells is satisfied, the estimation of transmission requirements at a base station level can be realized, a reasonable basis is provided for network construction, and excess investment is reduced, and a specific implementation process is as follows:

it should be noted that the method for calculating the uplink throughput provided by the embodiment of the present invention is applicable to a network planning scenario of an established base station; for example, the calculation of the uplink throughput of the established 5G base station is taken as an example for explanation, and since the 5G has a working mode of a Multi-antenna technology (hereinafter, referred to as Multi-User Multiple-Input Multiple-Output, abbreviated as MU-MIMO), the uplink throughput is greatly affected by channel correlation and channel conditions, and cannot be calculated by using a method based on CSI-RSRP values only. Therefore, the embodiment of the invention considers the possible CSI-RSRP distribution situation of the user and different channel correlations, and provides the calculation method suitable for the uplink throughput of the 5G cell.

Example one

An embodiment of the present invention provides a method for calculating uplink throughput, as shown in fig. 4, including:

s101, a scene map of a cell and a first uplink throughput and a CSI-RSRP value of at least one measuring point in a coverage area of the cell are obtained.

It should be noted that, acquiring the first uplink throughput and the CSI-RSRP value of at least one measurement point in the coverage area of the cell includes: at least one measuring point is selected for a cell which is to calculate downlink throughput, a plurality of groups of UE are placed at each measuring point, and CSI-RSRP values and uplink throughput data which correspond to the UE with different groups of quantity are periodically collected.

Illustratively, the CSI-RSRP value and downlink throughput data for a UE may be collected once per second.

Specifically, in practical applications, when a single UE and multiple UEs are placed in a single measurement point, both the CSI-RSRP value and the downlink throughput data corresponding to the single measurement point change; therefore, in order to more accurately calculate the difference between the CSI-RSRP values of a single measurement point when a single UE and multiple UEs are placed, the difference needs to be determined in the following manner, and the specific implementation process is as follows:

firstly, different measuring points are selected (the more the number of the measuring points is, the more accurate the difference of the CSI-RSRP values of a single UE and a plurality of UEs is obtained); then, respectively placing different quantities of UE at each measuring point, and collecting the average CSI-RSRP value and the average uplink throughput data corresponding to the placement of each quantity of UE; exemplarily, one UE is placed at each measuring point to carry out UDP (user Datagram protocol) or FTP (File transfer protocol) service, and a CSI-RSRP value and uplink throughput data of the UE are recorded; then 4 pieces of UE are placed at the measuring point to carry out UDP or FTP service, and the average CSI-RSRP value and the average uplink throughput data are recorded; then, 10 UEs are placed at the measuring point to carry out UDP or FTP service, and the average CSI-RSRP value and the average uplink throughput data are recorded. For example, assuming that 10 points selected as the measurement point are-80 CSI-RSRP value, -90 CSI-RSRP value, -95 CSI-RSRP value, -100 CSI-RSRP value, -105 CSI-RSRP value, -110 CSI-RSRP value, -115 CSI-RSRP value, -120 CSI-RSRP value, -125 CSI-RSRP value, and-130 CSI-RSRP value, the recorded data are as shown in table 1:

TABLE 1

Acquiring the difference between the CSI-RSRP of a single terminal and the CSI-RSRP of multiple terminals:

wherein, CSI-RSRP_MUIndicating the difference between single-terminal and multi-terminal CSI-RSRP_i-1UEIndicates the placement of N at measurement point i₁Actual CSI-RSRP value at individual UE, CSI-RSRP_i-4UEIndicates the placement of N at measurement point i₂Actual CSI-RSRP value at individual UE, CSI-RSRP_i-10UEIndicates the placement of N at measurement point i₃Actual CSI-RSRP values for each UE, n representing the total number of selected measurement points i, n being an integer greater than or equal to 1.

Illustratively, assume that 10 points selected as a measurement point are CSI-RSRP value-80, CSI-RSRP value-90, CSI-RSRP value-95, CSI-RSRP value-100, CSI-RSRP value-105, CSI-RSRP value-110, CSI-RSRP value-115, CSI-RSRP value-120, CSI-RSRP value-125, and CSI-RSRP value-130, the measurement point i may be any one of a CSI-RSRP value of-80, a CSI-RSRP value of-90, a CSI-RSRP value of-95, a CSI-RSRP value of-100, a CSI-RSRP value of-105, a CSI-RSRP value of-110, a CSI-RSRP value of-115, a CSI-RSRP value of-120, a CSI-RSRP value of-125, and a CSI-RSRP value of-130.

Exemplarily, one UE is placed at each measuring point to carry out UDP (user Datagram protocol) or FTP (File transfer protocol) service, and a CSI-RSRP value and uplink throughput data of the UE are recorded; then 4 pieces of UE are placed at the measuring point to carry out UDP or FTP service, and the average CSI-RSRP value and the average uplink throughput data are recorded; then, when 10 UEs are placed at the measuring point to perform UDP or FTP service and the average CSI-RSRP value and the average uplink throughput data are recorded, the difference between the CSI-RSRP of the single terminal and the CSI-RSRP of the multiple terminals is as follows:

and S102, determining the probability of the CSI-RSRP value appearing in the CSI-RSRP interval according to the CSI-RSRP value.

Optionally, determining, according to the CSI-RSRP value, a probability of occurrence of the CSI-RSRP value in the CSI-RSRP interval, as shown in fig. 5, includes:

s1020, acquiring a propagation mode of an antenna and a measuring point of a cell; the propagation mode includes NLOS and LOS.

S1021, determining a Cumulative Distribution Function (CDF) of the CSI-RSRP value according to the CSI-RSRP value.

It should be noted that, determining the cumulative distribution function of the CSI-RSRP values according to the CSI-RSRP values includes:

determining a difference CSI-RSRP between the CSI-RSRP of the single terminal and the CSI-RSRP of the multi-terminal through the CSI-RSRP value obtained in the step S101_MUThen according to CSI-RSRP_MUDetermining an actual CSI-RSRP value and a CSI-RSRP corresponding to each measurement point when a single UE is placed on each measurement point_MUDifference Δ CSI-RSRP:

△CSI-RSRP＝CSI-RSRP_i-1UE-CSI-RSRP_MU。

then, according to the Δ CSI-RSRP, fitting a cumulative distribution function of CSI-RSRP values under multi-user distribution, as shown in fig. 6; wherein the cumulative distribution function of the CSI-RSRP values comprises:

F(CSI-RSRP)＝a×(CSI-RSRP)³+b×(CSI-RSRP)²+c×(CSI-RSRP)+d。

wherein a, b, c and d are constants respectively, and F (CSI-RSRP) is the probability of the user appearing in the CSI-RSRP value.

It should be noted that, when the number of the selected measurement points is larger, the obtained Δ CSI-RSRP is larger, and the fitted cumulative distribution function of the CSI-RSRP values under the multi-user distribution is more accurate; therefore, the cells can be traversed (a vehicle with walking or the vehicle speed less than 20km/h is selected, and the CSI-RSRP value of a single terminal is recorded every t seconds by the drive test software), namely, each passable point in each cell is a measuring point, so that the obtained CSI-RSRP value cumulative distribution function is more accurate.

And S1022, determining the probability of the CSI-RSRP value appearing in the CSI-RSRP interval in different propagation modes according to the cumulative distribution function and the propagation modes.

It should be noted that, in practical applications, the influence of the channel on the 5G MU-MIMO scenario is particularly important; different propagation modes can affect the influence of the channel on the 5G MU-MIMO scene; the propagation modes corresponding to the UE and the base station when establishing the channel are divided into NLOS and LOS, so the probability that the CSI-RSRP value corresponding to NLOS (NLOS path for short) appears in the CSI-RSRP interval and the probability that the CSI-RSRP value corresponding to LOS (LOS path for short) appears in the CSI-RSRP interval need to be calculated, and the specific calculation mode is as follows:

in order to better simulate the actual distribution of users, the total uplink throughput T under the NLOS path is obtained_NLOSAnd total uplink throughput T in LOS path_LOSThe accuracy is higher; therefore, there is a need to collect throughput data at the same CSI-RSRP location as well as throughput data at different CSI-RSRP locations.

Wherein the collection process of the throughput data at the same CSI-RSRP position is as follows:

selecting 7 points (including excellent points, good points, middle points and bad points) of a typical CSI-RSRP value, such as a CSI-RSRP value of-80, a CSI-RSRP value of-90, a CSI-RSRP value of-95, a CSI-RSRP value of-105, a CSI-RSRP value of-110, a CSI-RSRP value of-115 and a CSI-RSRP value of-120; the distribution mode of the UE is to place more than 4 (including 4) UEs at the same CSI-RSRP value position, so that the limit capacity can be realized. The reason for selecting 4 UEs is that since one UE supports at most 4 downlinks and each base station supports 16 downlinks at the same time, the uplink throughput when the base station is fully loaded can be simulated when 4 UEs are placed; in practical applications, of course, when the maximum number of downlinks supported by the base station is N, and the maximum number of downlinks supported by the UE is N,when the base station is fully loaded, the number of the supported UE is

Illustratively, the example is given by taking the correlation as 0.3\0.5\0.8, the CSI-RSRP value as-80, the CSI-RSRP value as-90, the CSI-RSRP value as-95, the CSI-RSRP value as-105, the CSI-RSRP value as-110, the CSI-RSRP value as-115, and the CSI-RSRP value as-120, and the uplink throughput measured at different UE locations as an example (where, the data to be recorded is shown in table 2).

In fig. 7, point o is the antenna of the base station corresponding to the cell, point a is UE-a, point b is UE-b, point c is UE-c, and point d is UE-d; the point a, the point b and the point c are respectively positioned on the boundary of the same concentric circle o, and the CSI-RSRP values of all the UEs positioned on the same concentric circle are the same; specifically, the correlation between the UEs may be placed according to the actually required correlation; for example, the correlation between UE-a and UE-b is taken as an example for explanation, and the calculation method of the correlation between other UEs is the same as the calculation method of the correlation between UE-a and UE-b, and is not described herein again.

Wherein, the correlation degree is equal to an included angle formed by the connection lines of any two UEs and the base station antenna respectively; such as: an included angle theta is formed by a connecting line of the point a and a circle center o (representing the position of the base station antenna) in the horizontal direction and a connecting line of the point b and the circle center o in the horizontal direction; or, an included angle θ is formed by a connecting line of the point d and a circle center o (indicating the position of the base station antenna) in the horizontal direction and a connecting line of the point b and the circle center o in the horizontal direction; alternatively, as shown in fig. 8, an angle θ is formed between a line connecting a point a and the center o in the vertical direction and a line connecting a point b and the center o in the horizontal direction.

Specifically, mode 1, mode 2, mode 3, mode 4, mode 5, and mode 6 all indicate that 4 UEs are simultaneously placed at the positions corresponding to the same CSI-RSRP value.

TABLE 2

By measuring uplink throughput corresponding to each typical CSI-RSRP value (including CSI-RSRP value-80, CSI-RSRP value-90, CSI-RSRP value-95, CSI-RSRP value-105, CSI-RSRP value-110, CSI-RSRP value-115 and CSI-RSRP value-120) under each correlation, fitting a CSI-RSRP-average uplink throughput curve under the same correlation, as shown in FIG. 9 (the abscissa is the CSI-RSRP value and the ordinate is the average uplink throughput), an average uplink throughput curve of the CSI-RSRP value when the correlation is 0.3 is given; and the average uplink throughput of each point is equal to the average uplink throughput of each UE under the same CSI-RSRP value.

Finally, obtaining CSI-RSRP-average uplink throughput curves with the correlation degrees of 0.3, 0.5 and 0.8 respectively, as shown in the following formula:

T_{0.3(CSI-RSRP)}(CSI-RSRP)＝f₁(CSI-RSRP)；

T_{0.5(CSI-RSRP)}(CSI-RSRP)＝f₂(CSI-RSRP)；

T_{0.8(CSI-RSRP)}(CSI-RSRP)＝f₃(CSI-RSRP)。

based on a single correlation formula, calculating the average uplink throughput under a single CSI-RSRP:

wherein n is₁The number of the correlation degrees; since the invention selects only three correlations, 0.3, 0.5 and 0.8, n₁Equal to 3.

Illustratively, the CSI-RSRP value is-80, the CSI-RSRP value is-90, the CSI-RSRP value is-95, the CSI-RSRP value is-105, the CSI-RSRP value is-110, the CSI-RSRP value is-115, and the CSI-RSRP value is-120, and the correlations are 0.3, 0.5, and 0.8 for example:

average uplink throughput with CSI-RSRP value of-80

The calculation mode of the average uplink throughput with the CSI-RSRP value of-90, the CSI-RSRP value of-95, the CSI-RSRP value of-105, the CSI-RSRP value of-110, the CSI-RSRP value of-115 and the CSI-RSRP value of-120 is the same as the calculation mode of the average uplink throughput with the CSI-RSRP value of-80, and is not repeated here.

Aiming at different CSI-RSRP-average uplink throughput values, the throughput in a certain CSI-RSRP interval is calculated:

wherein, N _ gap is the total number of the typical points selected in the CSI-RSRP interval.

Exemplarily, as shown in table 3, the CSI-RSRP intervals are [ -125, 120], [ -120, -110], [ -110, -100], [ -100, -90], and [ -90, -80], respectively, wherein the CSI-RSRP intervals are [ -125, -120], and the points with CSI-RSRP values of-120, -123, and-125 are respectively selected as typical points, where N _ gap is equal to 3; when the CSI-RSRP interval is between-120 and-110, points with CSI-RSRP values of-110, 115 and-120 are respectively selected as typical points, and N _ gap is equal to 3; when the CSI-RSRP interval is between-110 and-100, points with CSI-RSRP values of-100, 105 and-110 are respectively selected as typical points, and N _ gap is equal to 3; when the CSI-RSRP interval is between-100 and-90, points with CSI-RSRP values of-100, 95 and-90 are respectively selected as typical points, and N _ gap is equal to 3; and when the CSI-RSRP interval is between-90 and-80, points with CSI-RSRP values of-90, 85 and-80 are respectively selected as typical points, and N _ gap is equal to 3.

TABLE 3

From the data recorded in table 3, it is possible to calculate the difference at the same CSI-RSRP position respectivelyAverage uplink throughput of the interval; wherein, T_CSI-RSRPAnd (X) is the average value of the uplink throughput of each UE when the CSI-RSRP value is X.

Specifically, the collection process of throughput data at different CSI-RSRP positions is as follows:

selecting 5 typical different CSI-RSRP value distribution situations, and placing more than 4 (including 4) UEs at the same CSI-RSRP value position according to the distribution mode in the table 4, thereby ensuring the realization of the limit capacity of the base station.

TABLE 4

Placing the UE according to the selected correlation degree and the typical CSI-RSRP value and the distribution mode shown in the table 4, and collecting the uplink throughput of each UE; illustratively, taking the correlation degrees of 0.3, 0.5 and 0.8 as examples, the total uplink throughput of all UEs in different situations is recorded, as shown in table 5.

TABLE 5

According to the data recorded in table 5, the average uplink throughput corresponding to different distribution modes at different CSI-RSRP positions can be calculated respectively; wherein, TD (TM)_x) In the pattern X, the sum of the average value of the uplink throughput of each UE at the good point and the average value of the uplink throughput of each UE at the middle point and the average value of the uplink throughput of each UE at the bad point.

Based on the calculated throughput data at the same CSI-RSRP position and the calculated throughput data at different CSI-RSRP positions, the probability of the CSI-RSRP value corresponding to the NLOS path appearing in the CSI-RSRP interval and the probability of the CSI-RSRP value corresponding to the LOS path appearing in the CSI-RSRP interval are respectively calculated, and the specific implementation process is as follows:

1. calculating the probability within a specific interval with the typical value as a center value according to the CDF ratio of the typical CSI-RSRP value without channel influence, and using P (CSI-RSRP) to represent; wherein, P (CSI-RSRP) ═ F (CSI-RSRP _ UP) -F (CSI-RSRP _ DOWN), CSI-RSRP _ UP is the upper value limit of the CSI-RSRP value, CSI-RSRP _ DOWN is the lower value limit of the CSI-RSRP value, and F (CSI-RSRP) is:

F(CSI-RSRP)＝a×(CSI-RSRP)³+b×(CSI-RSRP)²+c×(CSI-RSRP)+d。

illustratively, the CSI-RSRP intervals are [ -125, 120], [ -120, -110], [ -110, -100], [ -100, -90] and [ -90, -80], respectively, and the probability of each CSI-RSRP interval is shown in Table 6.

TABLE 6

2. In a 5G MU-MIMO scenario, the impact of the channel is particularly important. Therefore, the difference between SINR values corresponding to the lower NLOS path and LOS path without path LOSs needs to be calculated, and the calculation process is as follows:

establishing position R and SINR under NLOS_NLOSThe relationship of (1):

SINR_NLOS＝SINR_ui；

establishing position R and SINR under NLOS_LOSThe relationship of (1):

SINR_LOS＝SINR_ui。

SINR at the same position_NLOSAnd SINR_LOSDifference of values, under the same base station configuration:

it should be noted that, the SINR at different positions is used_NLOSAnd SINR_LOSThe difference value of the values is also the SINR difference value of no path loss and path loss under the same SINR position, and then the SINR difference values obtained in the whole coverage range are averaged to obtain an average difference value; therefore, there is no need to calculate SINR at different positions here_NLOSAnd SINR_LOSThe difference in value.

Table 7 records the following for dense urban areas as an example:

TABLE 7

According to the corresponding relation between SINR and CSI-RSRP (delta (CSI-RSRP) × K times delta SINR) and SINR under the same position_NLOSAnd SINR_LOSThe difference value of the values can determine the CSI-RSRP under the LOS path_LOSAnd CSI-RSRP under NLOS path_NLOS(ii) a Wherein,

CSI-RSRP_LOS＝CSI-RSRP-2.9568×K；

CSI-RSRP_NLOS＝CSI-RSRP-11.9258×K；

wherein K is a constant.

According to the CDF curve of the CSI-RSRP without channel influence and under the condition of no path loss_NLOSAnd CSI-RSRP_LOSThe difference value of the values is used for calculating a value CDF curve (F) of CSI-RSRP corresponding to the NLOS path_NLOS(CSI-SINR_NLOS) CDF curve (F) of CSI-RSRP values corresponding to LOS path_LOS(CSI-SINR_LOS))。

Illustratively, the CSI-RSRP intervals are [ -125, 120], [ -120, -110], [ -110, -100], [ -100, -90] and [ -90, -80] respectively for LOS path and NLOS path; the probability of the CSI-RSRP value corresponding to the LOS path appearing in the CSI-RSRP interval is shown in table 8, and the probability of the CSI-RSRP value corresponding to the NLOS path appearing in the CSI-RSRP interval is shown in table 9.

TABLE 8

TABLE 9

S103, determining second uplink throughput of each CSI-RSRP interval according to the first uplink throughput and the CSI-RSRP value.

Optionally, the determining, according to the first uplink throughput and the CSI-RSRP value, a second uplink throughput of each CSI-RSRP interval includes, as shown in fig. 10:

s1030, determining a distribution mode of the measurement points according to the CSI-RSRP value; wherein, the distribution mode refers to that the measurement points are distributed with the same or different CSI-RSRP.

It should be noted that, the measurement points distributed with the same CSI-RSRP means that the UE is placed at the same CSI-RSRP position, and the measurement points distributed with different CSI-RSRPs means that the UE is placed at different CSI-RSRP positions; for example, the UEs may be placed in the distribution pattern of table 4 when placed at different CSI-RSRP locations.

And S1031, determining second uplink throughputs of different distribution modes according to the distribution modes and the first uplink throughputs.

It should be noted that, determining the second uplink throughput of different distribution modes according to the distribution mode and the first uplink throughput includes:

determining second uplink throughputs of different distribution modes according to throughput data at the same CSI-RSRP position, throughput data at different CSI-RSRP positions, the probability of each CSI-RSRP interval in LOS (line of sight) path and the probability of each CSI-RSRP interval in NLOS (line of sight) path, and specifically comprising the following steps:

determining P corresponding to different CSI-RSRP intervals in the same CSI-RSRP position-LOS path according to throughput data at different CSI-RSRP positions, the probability of each CSI-RSRP interval in the LOS path and the probability of each CSI-RSRP interval in the NLOS path_{Mode identity point LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in the same CSI-RSRP position-NLOS path_{Mode identity point _ NLOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-LOS paths_{Mode difference LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-NLOS paths_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}。

According to the throughput data at the same CSI-RSRP position and the P corresponding to different CSI-RSRP intervals at the same CSI-RSRP position-LOS path_{Mode identity point LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in the same CSI-RSRP position-NLOS path_{Mode identity point _ NLOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-LOS paths_{Mode difference LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-NLOS paths_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}A second uplink throughput for a different distribution pattern is determined.

And S104, determining the third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval and a scene map.

Optionally, the scene map includes a 3D map or a planning map; determining a third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval, and the scene map, as shown in fig. 11, including:

s1040, determining scene classification of the cell according to the 3D map or the planning map; the scene classification comprises a dense distribution scene or a scattered distribution scene, the CSI-RSRP variation in the dense distribution scene is smaller than or equal to a variation threshold, the CSI-RSRP variation in the scattered distribution scene is larger than the variation threshold, and the CSI-RSRP variation is determined by the maximum value and the minimum value of CSI-RSRP values.

In practical applications, by analyzing the conditions of buildings, vegetation, and the like in the cell, it can be determined that the scene of the cell is classified into a densely distributed area or a dispersedly distributed area.

Wherein, the dense distribution area mainly comprises an office building, a gymnasium, a residential area and the like; the distribution of users located in a dense distribution area generally conforms to: the majority of users are in a dense static state, and a small number of users are in a scattered motion state; the corresponding network performance distribution in the dense distribution area conforms to the following conditions: most of the UE is in the same CSI-RSRP value range, if the overall change does not exceed 5dB, and a small number of the UE can generate the jump with the CSI-RSRP value larger than 5 dB. It should be noted that, in an actual application, for a dense scene, it is preferentially ensured that all points satisfying the same-position distribution are subjected to user pairing, and points at other positions are subjected to user pairing using the remaining points.

The distributed distribution area mainly comprises parks, markets, roads and the like; the distribution of users located within a distributed distribution area generally corresponds to: the majority of users are in a dense static state, and a small number of users are in dense motion; the network performance distribution in the decentralized distribution area conforms to the following conditions: most of the UE are in different CSI-RSRP value ranges, if the overall change exceeds 5dB, a small number of the UE are relatively static, and the change of the CSI-RSRP value is less than the jump of 5 dB.

Specifically, determining the scene classification of the cell according to the scene map includes:

calculating a first total area of the densely distributed scenes according to the scene map; the dense distribution scene comprises one or more of an office building, a gymnasium and a residential area.

Calculating P according to the first total area_{Dense packing}(ii) a Wherein,

a is the first total area and b is the coverage area of the cell.

Calculating a second total area of the scattered distribution scene according to the scene map; wherein, the scattered distribution scene comprises one or more of parks, shopping malls and roads.

Calculating P according to the second total area_Dispersing(ii) a Wherein,

c is the second total area and b is the coverage area of the cell.

Determining P_{Dense packing}>And when 50%, determining that the cell is in a dense distribution scene.

Determining P_Dispersing>And when the cell is 50%, determining that the cell is in a scattered distribution scene.

Determining P_{Dense packing}Less than or equal to 50%, or P_DispersingAnd when the cell is less than or equal to 50%, determining the cell to be in other distribution scenes.

S1041, determining a third uplink throughput according to the second uplink throughputs in different distribution modes, the probability of CSI-RSRP values appearing in CSI-RSRP intervals in different propagation modes and scene classification.

It should be noted that, in practical applications, when the third uplink throughput is calculated, if the cell belongs to a dense distribution scenario, the third uplink throughput of the cell needs to be calculated in a manner of calculating the third uplink throughput in the dense distribution scenario; if the cell belongs to a distributed scenario, the third uplink throughput of the cell needs to be calculated according to a manner of calculating the third uplink throughput in a dense distributed scenario, and the specific calculation manner is as follows:

when the situation of the cell is determined to be classified into a dense distribution situation, determining P corresponding to different CSI-RSRP intervals at the same CSI-RSRP position-LOS path according to throughput data at different CSI-RSRP positions, the probability of each CSI-RSRP interval at the LOS path and the probability of each CSI-RSRP interval at the NLOS path_{Mode identity point LOS _ CSI-RSRP _ gap}Different CSI-RSRP intervals in the same CSI-RSRP position-NLOS pathCorresponding P_{Mode identity point _ NLOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-LOS paths_{Mode difference LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-NLOS paths_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}The method specifically comprises the following steps:

determining the probability P of the LOS path CSI-RSRP value appearing in the CSI-RSRP interval at the same CSI-RSRP position of the dense distribution scene according to the probability of each CSI-RSRP interval in the LOS path and the probability of each CSI-RSRP interval in the NLOS path_{Mode identity point LOS _ CSI-RSRP _ gap}And determining the probability P of the same CSI-RSRP position NLOS path CSI-RSRP value of the dense distribution scene appearing in a CSI-RSRP interval_{Mode identity point _ NLOS _ CSI-RSRP _ gap}. Wherein,

wherein, the CSI-SINR _ gap is a CSI-RSRP interval needing to be calculated, and M is the total number of the UE.

It should be noted that the total number of UEs is equal to the number of UEs used when the limit capacity of the base station is achieved; illustratively, embodiments of the present invention use 4 UEs in achieving the base station limit capacity, so M equals 4.

Illustratively, LOS path CSI-RSRP values occur in the CSI-RSRP interval [ -125, 120] in a computationally intensive distribution scenario with the same CSI-RSRP location]Probability P of_{Mode identity point LOS _ CSI-RSRP _ gap}The description is given by way of example and includes:

as can be seen from Table 8, in the same CSI-RSRP position in the dense distribution scenario, a single CSI-RSRP value in LOS path occurs in the CSI-RSRP interval [ -125, 120 [ -]Probability P of_{LOS_[-125，120]}＝F_LOS(-120)-F_LOS(-125); by

It can be known that the components are densely dividedThe LOS path CSI-RSRP value of the same CSI-RSRP position of the layout scene appears in a CSI-RSRP interval [ -125, 120 [ -]Probability P of_{Mode identity point LOS _ CSI-SINR _ gap}＝(F_LOS(-120)-F_LOS(-125))^M。

Or, the same CSI-RSRP position NLOS path CSI-RSRP value of the intensive distribution scene is calculated in a CSI-RSRP interval [ -125, 120]Probability P of_{Mode identity point _ NLOS _ CSI-RSRP _ gap}The process of (2) is as follows: as can be seen from Table 9, in the same CSI-RSRP position of the dense distribution scene, a single CSI-RSRP value in the NLOS path appears in the CSI-RSRP interval [ -125, 120 [ -125 [ -120]]Probability P of_{NLOS_[-125，120]}＝F_NLOS(-120)-F_NLOS(-125); by

As can be seen, the same CSI-RSRP position NLOS path CSI-RSRP value of the dense distribution scene appears in a CSI-RSRP interval [ -125, 120]Probability P of_{Mode identity point _ NLOS _ CSI-SINR _ gap}＝(F_NLOS(-120)-F_NLOS(-125))^M。

Determining the probability P that different CSI-RSRP positions of a dense distribution scene have LOS path CSI-RSRP values in the CSI-RSRP interval according to the probability of each CSI-RSRP interval in LOS path and the probability of each CSI-RSRP interval in NLOS path_{Mode difference LOS _ CSI-RSRP _ gap}And determining probability P that different CSI-RSRP positions NLOS of dense distribution scene and CSI-RSRP values appear in CSI-RSRP intervals_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}. Wherein,

wherein N is the total number of the UE, N is the total number of CSI-RSRP _ gap, and M_jiFor mode i at CSI-RSRP _ gap_jTotal number of UEs.

It should be noted that, when the UE is in different CSI-RSRP location distributions, the distribution mode is as shown in table 4, the embodiment of the present invention specifies that the good point value is [ -105, -90dB ], the middle point value is [ -120, -105dB ], the bad point value is [ -125, -120], and specific operation and maintenance personnel can set CSI-RSRP intervals of the good point, the middle point, and the bad point according to actual situations.

CDF curve (F) of CSI-RSRP values corresponding to NLOS path_NLOS(CSI-SINR_NLOS) CDF curve (F) of CSI-RSRP values corresponding to LOS path_LOS(CSI-SINR_LOS) Can know that the CSI-RSRP value under NLOS path appears in the good point interval of [ -105, -90dB]Has a probability of F_NLOS(-90)-F_NLOS(-105) the CSI-RSRP values occur in the mid-point interval [ -120, -105dB]Has a probability of F_NLOS(-105)-F_NLOS(-120) CSI-RSRP values occur in the difference interval [ -125, -120 [ -120]]Has a probability of F_NLOS(-120)-F_NLOS(-125); the CSI-RSRP value under the LOS path is in the good point interval of [ -105, -90dB]Has a probability of F_LOS(-90)-F_LOS(-105) the CSI-RSRP values occur in the mid-point interval [ -120, -105dB]Has a probability of F_LOS(-105)-F_LOS(-120) CSI-RSRP values occur in the difference interval [ -125, -120 [ -120]]Has a probability of F_LOS(-120)-F_LOS(-125)。

Illustratively, 4 UEs are distributed according to the mode 1 in table 4 to calculate the probability that the CSI-RSRP values at different CSI-RSRP positions in the LOS path in the dense distribution scenario occur in the CSI-RSRP interval

The description is given by way of example and includes:

as can be seen from Table 8, the LOS path single CSI-RSRP value appears in the CSI-RSRP interval [ -105, -90dB]Has a probability of F_LOS(-90)-F_LOS(-105) a single CSI-RSRP value occurs in the CSI-RSRP interval [ -120, -105dB]Has a probability of F_LOS(-105)-F_LOS(-120) a single CSI-RSRP value occurring within the CSI-RSRP interval [ -125, -120)]Has a probability of F_LOS(-120)-F_LOS(-125) then

Or, 4 UEs are distributed according to the mode 1 in table 4 to calculate the probability that the CSI-RSRP values of different CSI-RSRP positions appear in the CSI-RSRP interval in the NLOS path in the dense distribution scenario

The calculation process of (2) is as follows:

as can be seen from Table 9, the single CSI-RSRP value of NLOS path appears in the CSI-RSRP interval [ -105, -90dB]Has a probability of F_NLOS(-90)-F_NLOS(-105) a single CSI-RSRP value occurs in the CSI-RSRP interval [ -120, -105dB]Has a probability of F_NLOS(-105)-F_NLOS(-120) a single CSI-RSRP value occurring within the CSI-RSRP interval [ -125, -120)]Has a probability of F_NLOS(-120)-F_NLOS(-125) then

Specifically, in practical application, the uplink throughput data collected at the same CSI-RSRP position and the uplink throughput data collected at different CSI-RSRP positions may be repeated; therefore, in order to improve the calculation accuracy of the third uplink throughput, after the same-position points need to be removed by equalization, the relationship of the remaining points in different CSI-RSRP intervals at different CSI-RSRP positions is as follows:

P_{LOS_CSI-SINR_gap}-P_{mode identity point LOS _ CSI-SINR _ gap}＝a_j×P_{Mode different point _ LOS _ CSI-SINR _ gap}；

P_{NLOS_CSI-SINR_gap}-P_{Mode identity point _ NLOS _ CSI-SINR _ gap}＝a_j×P_{Mode difference point _ NLOS _ CSI-SINR _ gap}。

Wherein, a_jIs a constant.

Illustratively, the CSI-RSRP intervals are [ -125, 120 respectively]、[-120，-110]、[-110，-100]、[-100，-90]And [ -90, -80 [)]Calculating P corresponding to different CSI-RSRP intervals when same CSI-RSRP position-LOS path is calculated_{Mode identity point LOS _ CSI-RSRP _ gap}Different CSI with the same CSI-RSRP position-NLOS pathP corresponding to RSRP interval_{Mode identity point _ NLOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-LOS paths_{Mode difference LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-NLOS paths_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}The description is given for the sake of example:

by densely distributing P of scenes_{Mode identity point LOS _ CSI-RSRP _ gap}、P_{Mode identity point _ NLOS _ CSI-RSRP _ gap}、P_{Mode difference LOS _ CSI-RSRP _ gap}And P_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}The calculation formula can respectively calculate the P corresponding to each CSI-RSRP interval_{Mode identity point LOS _ CSI-RSRP _ gap}、P_{Mode identity point _ NLOS _ CSI-RSRP _ gap}、P_{Mode difference LOS _ CSI-RSRP _ gap}And P_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}The value of (a).

Further in accordance with

And

can obtain the P after the weight removal_{Mode identity point LOS _ CSI-RSRP _ gap}、P_{Mode identity point _ NLOS _ CSI-RSRP _ gap}、P_{Mode difference LOS _ CSI-RSRP _ gap}And P_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}Taking the value of (A); wherein, P corresponding to different CSI-RSRP intervals when the same CSI-RSRP position-LOS path is used_{Mode identity point LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in the same CSI-RSRP position-NLOS path_{Mode identity point _ NLOS _ CSI-RSRP _ gap}As shown in Table 10, P corresponding to different CSI-RSRP intervals at different CSI-RSRP positions-LOS paths_{Mode difference LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-NLOS paths_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}Such as

As shown.

Watch 10

TABLE 11

	PMode difference LOS _ CSI-RSRP _ gap	PPattern difference point _ NLOS _ CSI-RSRP _ gap
			Mode 1	a1_LOS×PMode different point _1LOS	a1_NLOS×PPattern differencing point _1NLOS
Mode 2	a2_LOS×PMode different point _2LOS	a2_NLOS×PMode difference point _2NLOS
			Mode 3	a3_LOS×PMode different point _3LOS	a3_NLOS×PPattern differencing point-3 NLOS
Mode 4	a4_LOS×PMode different point _4LOS	a4_NLOS×PPattern difference point-4 NLOS
			Mode 5	a5_LOS×PMode different point-5 LOS	a5_NLOS×PPattern differencing Point-5 NLOS

It should be noted that, in practical applications, the propagation mode between the UE in the cell and the antenna of the cell only includes an LOS path or an NLOS path, and therefore, the probabilities of the LOS path and the NLOS path in the cell need to be calculated, which are specifically as follows:

in the case of dense urban areas (Unlicensed Mobile Access, UMA), the following formula is used for calculation:

wherein d is_2D-outIs the horizontal coverage distance, R is the coverage distance; h is_BSIs the base station altitude; h is_UTIs the UE altitude.

According to the second uplink throughput T under the LOS path_LOSSecond uplink throughput T under NLOS path_NLOSAnd Pr_LOSDetermining a third throughput T of the densely distributed scenario_{Dense packing}. Wherein, T_{Dense packing}＝T_LOS×Pr_LOS+T_NLOS×(1-Pr_LOS) Second uplink throughput T in LOS path_LOSThe calculation method is as follows:

second uplink throughput T under NLOS path_NLOSThe calculation method is as follows:

when the scene of the cell is determined to be a scattered distribution scene, determining P corresponding to different CSI-RSRP intervals at the same CSI-RSRP position-LOS path according to throughput data at different CSI-RSRP positions, the probability of each CSI-RSRP interval at the LOS path and the probability of each CSI-RSRP interval at the NLOS path_{Mode identity point LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in the same CSI-RSRP position-NLOS path_{Mode identity point _ NLOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-LOS paths_{Mode difference LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-NLOS paths_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}。

It should be noted that when determining that the scene of the cell is classified as a distributed scene, determining, according to throughput data at different CSI-RSRP positions, the probability of each CSI-RSRP interval in the LOS path, and the probability of each CSI-RSRP interval in the NLOS path, a P corresponding to different CSI-RSRP intervals in the CSI-RSRP position-LOS path_{Mode identity point LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in the same CSI-RSRP position-NLOS path_{Mode identity point _ NLOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-LOS paths_{Mode difference LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-NLOS paths_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}The method specifically comprises the following steps:

determining the probability P that LOS path CSI-RSRP values of different CSI-RSRP positions of a scattered distribution scene appear in CSI-RSRP intervals according to the probability of each CSI-RSRP interval in LOS path and the probability of each CSI-RSRP interval in NLOS path_{Mode difference LOS _ CSI-RSRP _ gap}And determining the probability P that different CSI-RSRP positions NLOS of the scattered distribution scene and CSI-RSRP values appear in a CSI-RSRP interval_{Mode difference point _ NLOS _ CSI-RSRP_gap}. Wherein,

wherein N is the total number of the UE, N is the total number of CSI-RSRP _ gap, and M_jiFor mode i at CSI-RSRP _ gap_jTotal number of UEs.

It should be noted that P of the distributed scene is dispersed_{Mode difference LOS _ CSI-RSRP _ gap}The computing method and P of the dense distribution scene_{Mode difference LOS _ CSI-RSRP _ gap}Is calculated in the same way, and the P of the distributed scene is dispersed at the same time_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}The computing method and P of the dense distribution scene_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}The calculation method is the same, and the description is omitted here.

Specifically, in practical application, the uplink throughput data collected at the same CSI-RSRP position and the uplink throughput data collected at different CSI-RSRP positions may be repeated; therefore, in order to improve the calculation accuracy of the third uplink throughput, after the same-position points need to be removed by equalization, the relationships between the remaining points in different CSI-RSRP intervals and different CSI-RSRP positions are as follows:

P_{mode identity point LOS _ CSI-SINR _ gap}＝P_{LOS_CSI-SINR_gap}-a_j×P_{Mode different point _ LOS _ CSI-SINR _ gap}；

P_{Mode identity point _ NLOS _ CSI-SINR _ gap}＝P_{NLOS_CSI-SINR_gap}-a_j×P_{Mode difference point _ NLOS _ CSI-SINR _ gap}。

Wherein, a_jA constant.

Illustratively, the CSI-RSRP intervals are [ -125, 120 respectively]、[-120，-110]、[-110，-100]、[-100，-90]And [ -90, -80 [)]Calculating P corresponding to different CSI-RSRP intervals when same CSI-RSRP position-LOS path is calculated_{Mode identity point LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in the same CSI-RSRP position-NLOS path_{Mode identity point _ NLOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-LOS paths_{Mode difference LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-NLOS paths_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}The description is given for the sake of example:

by decentralising P of the distribution scene_{Mode identity point LOS _ CSI-RSRP _ gap}、P_{Mode identity point _ NLOS _ CSI-RSRP _ gap}、P_{Mode difference LOS _ CSI-RSRP _ gap}And P_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}The calculation formula can respectively calculate the P corresponding to each CSI-RSRP interval_{Mode identity point LOS _ CSI-RSRP _ gap}、P_{Mode identity point _ NLOS _ CSI-RSRP _ gap}、P_{Mode difference LOS _ CSI-RSRP _ gap}And P_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}The value of (a).

Further, according to P_{Mode identity point LOS _ CSI-SINR _ gap}＝P_{LOS_CSI-SINR_gap}-a_j×P_{Mode different point _ LOS _ CSI-SINR _ gap}And P_{Mode identity point _ NLOS _ CSI-SINR _ gap}＝P_{NLOS_CSI-SINR_gap}-a_j×P_{Mode difference point _ NLOS _ CSI-SINR _ gap}Can obtain the de-duplicated P_{Mode identity point LOS _ CSI-RSRP _ gap}、P_{Mode identity point _ NLOS _ CSI-RSRP _ gap}、P_{Mode difference LOS _ CSI-RSRP _ gap}And P_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}Taking the value of (A); wherein, P corresponding to different CSI-RSRP intervals when the same CSI-RSRP position-LOS path is used_{Mode identity point LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in the same CSI-RSRP position-NLOS path_{Mode identity point _ NLOS _ CSI-RSRP _ gap}As shown in Table 12, P corresponding to different CSI-RSRP intervals for different CSI-RSRP location-LOS paths_{Mode difference LOS _ CSI-RSRP _ gap}P corresponding to different CSI-RSRP intervals in different CSI-RSRP position-NLOS paths_{Pattern difference point _ NLOS _ CSI-RSRP _ gap}As shown in table 13.

TABLE 12

Watch 13

	LOS at different locations	Different location NLOS
			Mode 1	PMode different point _1LOS	PPattern differencing point _1NLOS
Mode 2	PMode different point _2LOS	PMode difference point _2NLOS
			Mode 3	PMode different point _3LOS	PPattern differencing point-3 NLOS
Mode 4	PMode different point _4LOS	PPattern difference point-4 NLOS
			Mode 5	PMode different point-5 LOS	PPattern differencing Point-5 NLOS

It should be noted that, in practical applications, the propagation mode between the UE in the cell and the antenna of the cell only includes an LOS path or an NLOS path, and therefore, the probabilities of the LOS path and the NLOS path in the cell need to be calculated, which are specifically as follows:

in dense urban areas (in the case of UMA, the following formula is used for calculation:)

Wherein d is_2D-outIs the horizontal coverage distance, R is the coverage distance; h is_BSIs the base station altitude; h is_UTIs the UE altitude.

According to the second uplink throughput T under the LOS path_LOSSecond uplink throughput T under NLOS path_NLOSAnd Pr_LOSDetermining a third throughput T of the decentralized distribution scenario_Dispersing. Wherein, T_Dispersing＝T_LOS×Pr_LOS+T_NLOS×(1-Pr_LOS) Second uplink throughput T in LOS path_LOSThe calculation method is as follows:

second uplink throughput T under NLOS path_NLOSThe calculation method is as follows:

specifically, when the scenario of the cell is classified into other distribution scenarios, the uplink throughput T of the other distribution scenarios_{NLOS _ Others}The calculation formula of (2) is as follows:

as can be seen from the foregoing solution, in the uplink throughput calculation method provided in the embodiment of the present invention, the second uplink throughput of each CSI-RSRP interval is determined according to the first uplink throughput and the CSI-RSRP value of at least one measurement point within the coverage area of the cell, so as to establish a corresponding relationship between different CSI-RSRP intervals and the second uplink throughput; meanwhile, according to the CSI-RSRP value of at least one measuring point, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval is determined, and therefore the corresponding relation between the CSI-RSRP value and the CSI-RSRP interval is determined; finally, determining a third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval and a scene map; therefore, the uplink throughput of the 5G cell can be calculated by the method for calculating the uplink throughput provided by the embodiment of the invention, and the problem of how to calculate the uplink throughput of the 5G cell is solved.

Example two

An embodiment of the present invention provides an uplink throughput calculation apparatus 10, as shown in fig. 12, including:

an obtaining unit 101 is configured to obtain a scene map of a cell and a first uplink throughput and a CSI-RSRP value of at least one measurement point within a coverage area of the cell.

And the processing unit 102 is configured to determine, according to the CSI-RSRP value acquired by the acquiring unit 101, a probability that the CSI-RSRP value appears in the CSI-RSRP interval.

The processing unit 102 is further configured to determine a second uplink throughput of each CSI-RSRP interval according to the first uplink throughput and the CSI-RSRP value acquired by the acquiring unit 101.

The processing unit 102 is further configured to determine a third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval, and the scene map acquired by the acquiring unit.

Optionally, the obtaining unit 101 is specifically configured to obtain propagation modes of antennas and measurement points of a cell; the propagation mode comprises NLOS or LOS; the processing unit 102 is specifically configured to determine a cumulative distribution function of the CSI-RSRP value according to the CSI-RSRP value acquired by the acquiring unit 101; the processing unit 102 is specifically configured to determine, according to the cumulative distribution function and the propagation manner obtained by the obtaining unit 101, a probability that the CSI-RSRP value appears in the CSI-RSRP interval in different propagation manners.

Optionally, the processing unit 102 is specifically configured to determine a distribution pattern of the measurement points according to the CSI-RSRP value acquired by the acquiring unit 101; the distribution mode refers to that the measurement points are distributed by the same or different CSI-RSRP; the processing unit 102 is specifically configured to determine, according to the distribution mode and the first uplink throughput acquired by the acquiring unit 101, second uplink throughputs in different distribution modes.

Optionally, the scene map includes a 3D map or a planning map; the processing unit 102 is further configured to determine a scene classification of the cell according to the 3D map or the planning map acquired by the acquiring unit 101; the scene classification comprises a dense distribution scene and a scattered distribution scene, wherein the variation of the CSI-RSRP in the dense distribution scene is smaller than or equal to a variation threshold, the variation of the CSI-RSRP in the scattered distribution scene is larger than the variation threshold, and the variation of the CSI-RSRP is determined by the maximum value and the minimum value of CSI-RSRP values; the processing unit 102 is specifically configured to determine a third uplink throughput according to the second uplink throughputs in different distribution modes, probabilities of CSI-RSRP values appearing in CSI-RSRP intervals in different propagation modes, and scene classifications.

All relevant contents of each step related to the above method embodiment may be referred to the functional description of the corresponding functional module, and the function thereof is not described herein again.

The computing device 10 for upstream throughput with integrated modules comprises: the device comprises a storage unit, a processing unit and an acquisition unit. The processing unit is configured to control and manage the operation of the computing device for uplink throughput, for example, the computing device for supporting uplink throughput executes the processes S101, S102, S103, and S104 in fig. 4; the acquisition unit is used for supporting information interaction between the calculation device of the uplink throughput and other equipment. A storage unit for storing program codes and data of the calculation apparatus of the upstream throughput.

For example, the processing unit is a processor, the storage unit is a memory, and the obtaining unit is a communication interface. The uplink throughput calculation device shown in fig. 13 includes a communication interface 501, a processor 502, a memory 503, and a bus 504, and the communication interface 501 and the processor 502 are connected to the memory 503 through the bus 504.

The processor 502 may be a general-purpose Central Processing Unit (CPU), a microprocessor, an Application-Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to control the execution of programs in accordance with the teachings of the present disclosure.

The Memory 503 may be a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.

The memory 503 is used for storing application program codes for executing the scheme of the application, and the processor 502 controls the execution. The communication interface 501 is used for information interaction with other devices, for example, with a remote controller. The processor 502 is configured to execute application program code stored in the memory 503 to implement the methods described in the embodiments of the present application.

Further, a computing storage medium (or media) is also provided, comprising instructions which, when executed, perform the method operations performed by the computing apparatus of upstream throughput in the above embodiments. Additionally, a computer program product is also provided, comprising the above-described computing storage medium (or media).

It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

It can be understood that any one of the above-provided computing devices for uplink throughput is used to execute the corresponding method in the above-provided embodiments, and therefore, the beneficial effects that can be achieved by the computing device for uplink throughput may refer to the beneficial effects of the method in the above-mentioned embodiment one and the corresponding scheme in the following detailed description, and are not described again here.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (6)

1. A method for calculating uplink throughput, comprising:

acquiring a scene map of a cell and a first uplink throughput and a CSI-RSRP value of at least one measuring point in a coverage area of the cell;

determining the probability of the CSI-RSRP value appearing in a CSI-RSRP interval according to the CSI-RSRP value;

determining a second uplink throughput of each CSI-RSRP interval according to the first uplink throughput and the CSI-RSRP value;

determining a third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval and the scene map;

determining, according to the CSI-RSRP value, a probability of occurrence of the CSI-RSRP value in a CSI-RSRP interval, including:

acquiring a propagation mode of an antenna of the cell and the measuring point; wherein the propagation mode comprises NLOS or LOS;

determining a cumulative distribution function of the CSI-RSRP values according to the CSI-RSRP values;

determining the probability of the CSI-RSRP value appearing in the CSI-RSRP interval under different propagation modes according to the cumulative distribution function and the propagation modes;

determining a second uplink throughput of each CSI-RSRP interval according to the first uplink throughput and the CSI-RSRP value, wherein the determining comprises the following steps:

determining a distribution pattern of the measurement points according to the CSI-RSRP value; wherein the distribution mode refers to that the measurement points are distributed with the same or different CSI-RSRP;

and determining the second uplink throughput of different distribution modes according to the distribution mode and the first uplink throughput.

2. The uplink throughput calculation method of claim 1, wherein the scene map comprises a 3D map or a planning map;

determining a third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval and the scene map, wherein the determining comprises:

determining a scene classification of the cell according to the 3D map or the planning map; wherein the scene classification includes a densely distributed scene in which a CSI-RSRP variation amount is less than or equal to a variation amount threshold or a dispersedly distributed scene in which a CSI-RSRP variation amount is greater than the variation amount threshold, the CSI-RSRP variation amount being determined by a maximum value and a minimum value of the CSI-RSRP values;

and determining the third uplink throughput according to the second uplink throughputs in different distribution modes, the probability of the CSI-RSRP values appearing in the CSI-RSRP interval in different propagation modes and the scene classification.

3. An apparatus for calculating upstream throughput, comprising:

the device comprises an acquisition unit, a measurement unit and a control unit, wherein the acquisition unit is used for acquiring a scene map of a cell and a first uplink throughput and a CSI-RSRP value of at least one measurement point in a coverage area of the cell;

the processing unit is used for determining the probability of the CSI-RSRP value appearing in a CSI-RSRP interval according to the CSI-RSRP value acquired by the acquiring unit;

the processing unit is further configured to determine a second uplink throughput of each CSI-RSRP interval according to the first uplink throughput and the CSI-RSRP value acquired by the acquiring unit;

the processing unit is further configured to determine a third uplink throughput of the cell according to the second uplink throughput, the probability of the CSI-RSRP value appearing in the CSI-RSRP interval, and the scene map acquired by the acquiring unit;

the acquiring unit is specifically configured to acquire a propagation mode between an antenna of the cell and the measurement point; wherein the propagation mode comprises NLOS or LOS;

the processing unit is specifically configured to determine a cumulative distribution function of the CSI-RSRP values according to the CSI-RSRP values acquired by the acquiring unit;

the processing unit is specifically configured to determine, according to the cumulative distribution function and the propagation manner obtained by the obtaining unit, a probability that the CSI-RSRP value appears in the CSI-RSRP interval in different propagation manners;

the processing unit is specifically configured to determine a distribution pattern of the measurement points according to the CSI-RSRP value acquired by the acquiring unit; wherein the distribution mode refers to that the measurement points are distributed with the same or different CSI-RSRP;

the processing unit is specifically configured to determine the second uplink throughputs in different distribution modes according to the distribution mode and the first uplink throughput acquired by the acquisition unit.

4. The upstream throughput computing apparatus of claim 3, wherein the scene map comprises a 3D map or a planning map;

the processing unit is specifically configured to determine a scene classification of the cell according to the 3D map acquired by the acquiring unit or the planning map acquired by the acquiring unit; wherein the scene classification includes a densely distributed scene in which a CSI-RSRP variation amount is less than or equal to a variation amount threshold or a dispersedly distributed scene in which a CSI-RSRP variation amount is greater than the variation amount threshold, the CSI-RSRP variation amount being determined by a maximum value and a minimum value of the CSI-RSRP values;

the processing unit is specifically configured to determine the third uplink throughput according to the second uplink throughput in different distribution modes, the probability of occurrence of the CSI-RSRP value in the CSI-RSRP interval in different propagation modes, and the scene classification.

5. A computer storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of calculating upstream throughput of claim 1 or 2.

6. An apparatus for calculating upstream throughput, comprising: communication interface, processor, memory, bus; the memory is used for storing computer execution instructions, the processor is connected with the memory through the bus, and when the upstream throughput computing device runs, the processor executes the computer execution instructions stored by the memory so as to enable the upstream throughput computing device to execute the upstream throughput computing method according to the claim 1 or 2.

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