CN108235338B - A TD-LTE user type identification method and base station - Google Patents

Abstract

The embodiment of the present invention discloses a TD-LTE user type identification method and a base station. The method includes: determining the MR data of the user terminal according to preset corresponding fields in the MR sample data of the measurement report; determining whether the user terminal is a room division user according to the occupied cell of the MR data sampling point of the user terminal; if If not, according to the preset macro station user type identification algorithm, it is determined whether the user terminal is a macro station indoor user type or a macro station outdoor user type. The base station is used to implement the method. The TD-LTE user type identification method provided by the embodiment of the present invention can identify the user type of the TD-LTE user terminal based on measurement report sample (MRO) data.

Description

A TD-LTE user type identification method and base station

technical field

The present invention relates to the field of wireless communication, in particular to a TD-LTE (Time Division-Long Term Evolution, Time Division-Long Term Evolution) user type identification method and device.

Background technique

The MR (Measurement Report, measurement report) refers to that the UE measures and reports the relevant network indicators of the primary and neighboring cells according to the measurement configuration delivered by the network, and the reported data can be used for network evaluation and optimization. The measurement report is completed by the UE and the eNodeB, the UE performs and reports data such as the downlink level strength and quality of the cell, and the eNodeB performs and reports the measurement of the uplink UE's reception level strength and quality. The processing of measurement reports is usually done at the eNodeB. Based on traditional network optimization methods, user experience information, such as network coverage and call quality, can only be obtained through drive tests and fixed-point tests. Compared with the user information of MR, the obtained sampling point data is much less, so the results of the analysis are one-sided. If MR data is used to replace a large number of routine drive tests and fixed-point tests, and the network is evaluated by the measurement reports when users actually generate services, it can save operation and maintenance costs, and is more targeted than drive tests and fixed-point measurements. These collected data are mined to analyze user behavior patterns and information such as their distribution in the community, so as to facilitate the formulation of network optimization strategies.

MR data is divided into measurement report sample (Measurement Report Original, MRO) data, measurement report statistics (Measurement Report Statistics, MRS) data, and event-triggered measurement report sample (Measurement Report Event, MRE) data. The MRO data is periodic measurement report sample data, which represents the original measurement report information collected by the OMC-R (radio access network element management system) periodically.

With the rapid construction of LTE networks, more and more data are required for network evaluation and optimization. MR data, as the most comprehensive, detailed and real user collection data, truly reflects the current state of the network where users are located, and is valuable data with great utilization value. Using MR data for network analysis and optimization can achieve the goal of optimizing the existing network faster and better.

However, there is no attribute information of the user type in the MR data. In fact, the user type needs to be determined in many cases during the optimization of the existing network. At present, nearly 80% of the traffic on the existing LTE network occurs indoors. It is an important basis for network construction and optimization to distinguish users from indoors and outdoors. User type identification can provide an important auxiliary role for network planning and construction, and site construction is more scientific and valuable. At the same time, user identification will make the network optimization work more targeted, and can more accurately locate, analyze and propose solutions to problems, greatly improving the efficiency of network optimization work.

However, the existing technical means cannot divide macro site users into indoor and outdoor, which has become a bottleneck in the current network optimization industry, resulting in increased difficulty in optimization and construction.

Therefore, it is of great significance to propose a method for identifying the type of TD-LTE users based on measurement report sample (MRO) data.

SUMMARY OF THE INVENTION

Aiming at the defects in the prior art, the embodiments of the present invention provide a TD-LTE user type identification method and a base station.

On the one hand, an embodiment of the present invention provides a method for identifying a TD-LTE user type, including:

Determine the MR data of the user terminal according to a preset corresponding field in the MR sample data of the measurement report;

Determine whether the user terminal is an indoor user according to the occupied cell of the MR data sampling point of the user terminal;

If not, according to the preset macro station user type identification algorithm, it is determined whether the user terminal is a macro station indoor user type or a macro station outdoor user type.

In the TD-LTE user type identification method provided by the embodiment of the present invention, since the MR data of the user terminal can be determined according to the measurement report sample (MRO) data, and then whether the user terminal is an indoor user, the identification based on the MRO data is realized. TD-LTE user type function. In addition, since the user terminal can be further judged according to the preset macro station user type identification algorithm, whether the user terminal is a macro station indoor user type or a macro station outdoor user type, the method has a very broad application prospect.

On the other hand, an embodiment of the present invention also provides a base station, including:

a data determination module, configured to determine the MR data of the user terminal according to preset corresponding fields in the MR sample data of the measurement report;

room division confirmation module, the user determines whether the user terminal is a room division user according to the occupied cell of the MR data sampling point of the user terminal;

The type identification module is used for determining whether the user terminal is a macro station indoor user type or a macro station outdoor user type according to a preset macro station user type identification algorithm when the user terminal is a non-room user.

In the base station provided by the embodiment of the present invention, since the MR data of the user terminal can be determined according to the measurement report sample (MRO) data, and then whether the user terminal is a room division user can be determined, therefore, the identification of the TD-LTE user type based on the MRO data is realized. Function. In addition, since the user terminal can be further judged according to the preset macro station user type identification algorithm, whether the user terminal is a macro station indoor user type or a macro station outdoor user type, the base station has a very broad application prospect.

In another aspect, an embodiment of the present invention further provides a TD-LTE user type identification device, including: a processor, a memory, and a bus;

Wherein, the processor and the memory are connected through the bus; the processor is used for calling program instructions in the memory to execute the above method.

In another aspect, an embodiment of the present invention also discloses a computer program product, the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, when the program instructions When executed by a computer, the computer is capable of executing the above-described method.

In a final aspect, an embodiment of the present invention finally further provides a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute the above method.

Description of drawings

1 is a schematic flowchart of an embodiment of a method for identifying a TD-LTE user type according to the present invention;

Fig. 2 is the schematic diagram of the ideal situation of determining the position of target UE;

Fig. 3 is the schematic diagram under the actual situation of determining the position of target UE;

FIG. 4 is a schematic structural diagram of an embodiment of a base station according to the present invention;

FIG. 5 is a structural block diagram of an apparatus for identifying a TD-LTE user type according to the present invention.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are disclosed. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

FIG. 1 is a schematic flowchart of an embodiment of a TD-LTE user type identification method according to the present invention. Referring to FIG. 3, the present embodiment discloses a TD-LTE user type identification method, including:

S1. Determine the MR data of the user terminal according to a preset corresponding field in the MR sample data of the measurement report;

S2. Determine whether the user terminal is a room division user according to the occupied cell of the MR data sampling point of the user terminal;

S3. If not, according to a preset macro station user type identification algorithm, determine whether the user terminal is a macro station indoor user type or a macro station outdoor user type.

In the TD-LTE user type identification method provided by the embodiment of the present invention, since the MR data of the user terminal can be determined according to the measurement report sample (MRO) data, and then whether the user terminal is an indoor user, the identification based on the MRO data is realized. TD-LTE user type function. In addition, since the user terminal can be further judged according to the preset macro station user type identification algorithm, whether the user terminal is a macro station indoor user type or a macro station outdoor user type, the method has a very broad application prospect.

It should be noted that, the execution subject of this embodiment of the method is a base station.

Specifically, in step S1, the base station may filter out the MR data of the user terminal through the fields of MmeUeS1apId, MmeGroupId, and MmeCode in the sample data of the measurement report. Wherein, the preset corresponding field is a field that can express the characteristics in the collected measurement report information, and the preset corresponding field record characteristics are shown in Table 1:

Table 1: The preset corresponding field expression measurement report sample data characteristic table

For example, in a certain measurement report sample data, MmeCode is 124, MmeGroupId is 257, and MmeUeS1apId is 537565967, it can be uniquely determined that the ID of the user terminal is 124&257&537565967. According to the ID of the user terminal, all MR data of the user terminal can be determined.

In step S2, it can be determined whether the user terminal is a room division user according to the occupied cell of the MR data sampling point of the user terminal determined in step S1.

Specifically, the occupied cell of the MR data sampling point is matched with the basic cell information obtained in advance by the base station. If it matches, it is known that the occupied cell of the MR data sampling point is an indoor division cell, and the corresponding user terminal is an indoor division user.

For example, the ID of the occupied cell of the MR data sampling point is 65627-1, and in the basic cell information acquired by the base station in advance, the cell with ID 65627-1 is the cell of the room division system, and the corresponding user terminal is the room division user. .

In step S3, the preset macro station user type identification algorithm includes:

If the duration of the ID of the user terminal in the extensible markup language xml file of the preset first duration exceeds the preset second duration, it is determined that the antenna angle of arrival AOA and the timing advance TA of the user terminal are determined by Whether the change value of the determined position within the duration is less than the preset distance value;

If yes, then determine that the user terminal is a macro station indoor user type;

It should be noted that the extensible markup language xml file of the preset first duration is generated by the base station, and the base station updates the xml file every preset first duration. The preset first time period is usually 15 minutes.

Specifically, if the duration of the ID of the user terminal in the xml file of the preset first duration exceeds the preset second duration, such as 15 seconds, the base station determines the MR data indicator field corresponding to the ID of the user terminal by determining MR.LteScAOA and MR.LteScTadv in to get the values of AOA and TA.

It can be understood that, the preset second duration may be adjusted according to actual needs, which is not limited in this embodiment.

The MR data indicator fields corresponding to the ID of the user terminal are shown in the following table:

Table 2: MR data indicator fields corresponding to the ID of the user terminal

Among them, the specific principles of sampling point positioning through the values of AOA and TA are as follows:

The UE receives the TA command from the network side and adjusts the transmission time of the uplink PUCCH/PUSCH/SRS. The purpose is to eliminate the different transmission delays between the UEs, so that the time of the uplink signals of different UEs arriving at the eNodeB is aligned, and the uplink orthogonality is guaranteed. Reduce intra-cell interference. TA characterizes the distance between the UE and the antenna port.

The time advance distance corresponding to 1Ts is equal to: (3*10^8*1/(15000*2048))/2=4.89m. The meaning is distance = propagation speed (speed of light) * 1Ts/2 (sum of upstream and downstream paths). The distance corresponding to the TA command value is calculated with reference to 1Ts.

In the random access process: the eNodeB measures the uplink PRACH preamble sequence, carries 11 bits of information in the MAC payload of the RAR (random access response), and the TA range is between 0 and 1282. According to the TA value in the RAR, the UE adjusts the uplink The transmission time Nta=TA*16, the value is always positive.

For example: TA=1, then Nta=1*16Ts, the represented distance is 16*4.89m=78.12m, and generally the distance represented by a TA is 78 meters.

The AOA represents the angle of arrival of the antenna, which defines the estimated angle of a user relative to the reference direction. The measurement reference direction should be true north, counterclockwise. That is, it refers to the angle that the user's current location is counterclockwise to the direction of true north.

In this embodiment, the base station locates the MR data sampling points of the user terminal according to the AOA and TA positioning algorithms based on the acquired values of AOA and TA within the duration. And the change value of the position determined by AOA and TA in the said duration is compared with the preset distance value. If the change value is smaller than the preset distance value, it can be determined that the user terminal is an indoor user type of a macro station.

For example, let the preset distance value be 20m. During the duration, the TA of a user terminal in the MRO at a certain moment is 2, and the AOA is 90 degrees, then the MR data sampling point of the user terminal determined by TA and AOA is located between 156m and 234m from the due east of the cell. position; and the MR data sampling point of the user terminal determined by TA and AOA at the next moment is located between 78m and 156m in the east of the cell, then the change value of the position determined by AOA and TA within the duration If the distance is greater than 20m, the base station can determine that the user terminal is an outdoor user type of the macro station.

If the MR data sampling point of the user terminal determined by TA and AOA at the next moment is still located between 156m and 234m from the due east of the cell, the change value of the position determined by AOA and TA within the duration is less than 20m, the base station can judge that the user terminal is the indoor user type of the macro station.

Further, the preset macro station user type identification algorithm also includes:

If the duration of the ID of the user terminal in the xml file of the preset first duration exceeds the preset second duration, and the values of AOA and TA of the user terminal are empty, then

Obtain the position change value of the user terminal within the duration by using a three-point positioning algorithm;

If the position change value is not less than the preset distance value, it is determined that the user terminal is an outdoor user of the macro station.

Specifically, when the duration of the ID of the user terminal in the xml file of the preset first duration exceeds the preset second duration, but the reported AOA or TA value is empty, or there are other abnormalities, or MR data sampling If the point is unavailable, the base station obtains the position change value of the user terminal within the duration by using a three-point positioning algorithm.

The basic principle of the three-point positioning algorithm is:

According to multiple receivers detecting the signals sent by the transmitter, collecting multiple field strengths, and using the known channel fading model and the field strength value of the transmitted signal, the distance between the transceivers can be estimated, and multiple distance values ( Path loss L _i = transmit power _i + antenna gain _i - received field strength _i , Ri = f(L _{i )} ), by solving the distance equations between the transceivers, the location of the target UE can be determined

Ideal situation: the terminal must be located at the intersection of three circles with the three base stations as the center and the distance R _i (as shown in Figure 2).

Actual situation: Since the NLOS error is a large non-negative value and the measured distance is much larger than the real distance, the position of the terminal should be located in the overlapping area of multiple circles (as shown in Figure 3).

It should be noted that when using the field strength value to reverse the distance, it should be on the premise of having a relatively accurate propagation model. Therefore, propagation model calibration needs to be performed first.

The standard macro cell propagation model is as follows:

L=K ₁ +K ₂ log(d)+K ₃ H _ms +K ₄ log(H _ms )+K ₅ log(H _eff )+K ₆ log(d)log(H _eff )+K ₇ Diffraction+K _clutter

in:

d: the distance between the base station and the mobile station (m)

H _ms : height of the mobile station's ground (m)

H _eff : Effective height of the base station antenna (m)

Diffraction: Diffraction loss (dB) due to an obstructed path

K _cluster : cluster loss parameter

Typical parameter values are as follows:

However, due to the wide variety of wireless propagation environments. If you only rely on experience and ignore the influence of different terrain, landforms, buildings, vegetation and other parameters, it will inevitably lead to coverage and quality problems in the built network, or the built base stations are too dense, resulting in a waste of resources. Therefore, it is necessary to test for different geographical environments in various regions, and to revise the parameters of the propagation model by means of analysis and calculation. Finally, the propagation model that can best reflect the local wireless propagation environment and has the most theoretical reliability is obtained.

In this embodiment, the three-point positioning algorithm includes:

Step 1. Carry out road tests around typical geomorphological areas. According to the road test results, use planning software to calibrate the propagation model and use it as a propagation model for other similar areas in a preset area (such as the whole city).

The typical landform areas may be irregular dense urban areas, high-rise commercial areas, regular/irregular ordinary urban areas, urban villages, open urban areas, industrial parks, and the like.

Step 2. Calculate the path loss according to the MR.LteScRSRP and MR.LteNcRSRP of each MR data sampling point, combined with the base station transmit power and antenna gain, and determine the distance between the user terminal and multiple eNBs according to the path loss through a suitable propagation model. The distances are denoted as R ₁ , R ₂ , R ₃ ,..., the positions of the multiple eNBs are denoted as (x ₁ , y ₁ ), (x ₂ , y ₂ ), (x ₃ , y ₃ )... …

向量

的前两项即为所述用户终端的估计坐标

其中，Step 3. Solve by the least squares method:

vector

The first two items are the estimated coordinates of the user terminal

in,

In the formula, i=1, 2, ... n.

If the position change value of the MR data sampling point corresponding to the ID of the user terminal is less than the preset distance value within the duration time, it can be determined that the user terminal is an outdoor user of the macro station.

If the position change value is smaller than the preset distance value, the base station determines the user type of the user terminal according to the corresponding index field in the preset MR data.

Specifically, the base station will make the following judgments according to the MR.LteScRSRP, MR.LteNcRSRP, and MR.LteScPHR index fields of the MR data sampling points:

1. If the RSRP of the main serving cell at the MR data sampling point is greater than or equal to -90 dBm, the RSRP of the strongest neighboring cell is greater than or equal to -95 dBm, and the PHR is greater than or equal to 20, it is determined that the user terminal corresponding to the MR data sampling point is an outdoor user of the macro station.

2. If the RSRP of the main serving cell of the MR data sampling point is less than or equal to -90dBm, and the RSRP of the strongest neighboring cell is greater than or equal to -95dBm, it is determined that the user terminal corresponding to the MR data sampling point is an outdoor user of the macro station.

3. If the RSRP of the primary serving cell at the MR data sampling point is less than -100 dBm, and the RSRP of the strongest neighboring cell is less than -105 dBm, it is determined that the user terminal corresponding to the MR data sampling point is an indoor user of the macro station.

4. If the MR.LteScRSRP, MR.LteNcRSRP and MR.LteScPHR index fields of the MR data sampling point do not satisfy the above judgment conditions 1-3, it is judged that the user terminal corresponding to the MR data sampling point is another type of user.

It should be noted that, if the duration of the ID of the user terminal in the xml file of the preset first duration is less than the preset second duration, the base station will also, according to the corresponding index field in the preset MR data, Judging the user type of the user terminal:

Specifically, the base station will make the following judgments according to the MR.LteScRSRP, MR.LteNcRSRP, and MR.LteScPHR index fields of the MR data sampling points:

21. If the RSRP of the primary serving cell at the MR data sampling point is greater than or equal to -90 dBm, the RSRP of the strongest neighboring cell is greater than or equal to -95 dBm, and the PHR is greater than or equal to 20, it is determined that the user terminal corresponding to the MR data sampling point is an outdoor user of the macro station.

22. If the RSRP of the primary serving cell of the MR data sampling point is less than or equal to -90dBm, and the RSRP of the strongest neighboring cell is greater than or equal to -95dBm, it is determined that the user terminal corresponding to the MR data sampling point is an outdoor user of the macro station.

23. If the RSRP of the primary serving cell at the MR data sampling point is less than -90dBm, and the RSRP of the strongest neighboring cell is less than -95dBm, it is determined that the user terminal corresponding to the MR data sampling point is an indoor user of the macro station.

24. If the MR.LteScRSRP, MR.LteNcRSRP, and MR.LteScPHR index fields of the MR data sampling point do not meet the judgment conditions 1-3 above, judge that the user terminal corresponding to the MR data sampling point is another type of user.

The TD-LTE user type identification method provided by the embodiment of the present invention, due to the preset macro station user type identification algorithm used, can determine whether the user terminal is moving according to AOA+TA and the three-point positioning algorithm, and then identify the user terminal User type, the resulting recognition results have extremely high accuracy. In addition, since the method can also be combined with index fields such as MR.LteScRSRP, MR.LteNcRSRP, and MR.LteScPHR, it can effectively identify the user type of the user terminal with unclear position movement information. Therefore, the method can realize almost all The identification of the user terminal type in this case has a very broad application prospect.

FIG. 4 is a schematic structural diagram of an embodiment of a base station of the present invention. Referring to FIG. 4, an embodiment of the present invention further provides a base station, including a data determination module 1, a room classification confirmation module 2 and a type identification module 3, wherein:

The data determination module 1 is configured to determine the MR data of the user terminal according to the preset corresponding fields in the MR sample data of the measurement report; the room division confirmation module 2 is configured to determine the MR data of the user terminal according to the occupied cell of the MR data sampling point of the user terminal. Whether the user terminal is a room-divided user; the type identification module 3 is configured to, when the user terminal is a non-room-divided user, according to the preset macro station user type identification algorithm, identify the user terminal as a macro station indoor user. The user type or the macro station outdoor user type is judged.

In the base station provided by the embodiment of the present invention, since the MR data of the user terminal can be determined according to the measurement report sample (MRO) data, and then whether the user terminal is a room division user can be determined, therefore, the identification of the TD-LTE user type based on the MRO data is realized. Function. In addition, since the user terminal can be further judged according to the preset macro station user type identification algorithm, whether the user terminal is a macro station indoor user type or a macro station outdoor user type, the base station has a very broad application prospect.

Specifically, the data determination module 1 can filter out the MR data of the user terminal through the fields of MmeUeSlapId, MmeGroupId, and MmeCode in the sample data of the measurement report.

For example, in a certain measurement report sample data, MmeCode is 124, MmeGroupId is 257, and MmeUeS1apId is 537565967, then the data determination module 1 can uniquely determine that the ID of the user terminal is 124&257&537565967. According to the ID of the user terminal, the data determination module 1 can determine all the MR data of the user terminal.

The room division confirmation module 2 can determine whether the user terminal is a room division user according to the occupied cell of the MR data sampling point of the user terminal determined by the data determination module 1 .

Specifically, the room division confirmation module 2 can match the occupied cell of the MR data sampling point with the basic information of the cell pre-obtained by the base station. If the occupied cell of the MR data sampling point is found to be the room division cell, the corresponding user terminal is Room division users.

For example, the ID of the occupied cell of the MR data sampling point is 65627-1, and in the basic cell information acquired by the base station in advance, the cell with ID 65627-1 is the cell of the room division system, and the corresponding user terminal is the room division user. .

The type identification module 3 is specifically used for:

If the duration of the ID of the user terminal in the extensible markup language xml file of the preset first duration exceeds the preset second duration, the type identification module 3 determines the antenna angle of arrival AOA of the user terminal And whether the change value of the position determined by the timing advance TA within the duration is less than the preset distance value;

If yes, then determine that the user terminal is a macro station indoor user type;

It should be noted that the extensible markup language xml file of the preset first duration is generated by the base station, and the base station updates the xml file every preset first duration. The preset first time period is usually 15 minutes.

Specifically, if the duration of the ID of the user terminal in the xml file of the preset first duration exceeds the preset second duration, for example, 15 seconds, the type identification module 3 determines that the ID of the user terminal corresponds to MR.LteScAOA and MR.LteScTadv in the MR data indicator field to get the values of AOA and TA.

It can be understood that, the preset second duration may be adjusted according to actual needs, which is not limited in this embodiment.

Further, the type identification module 3 locates the MR data sampling points of the user terminal according to the AOA and TA positioning algorithms based on the acquired values of AOA and TA within the duration. And the change value of the position determined by AOA and TA in the said duration is compared with the preset distance value. If the change value is smaller than the preset distance value, it can be determined that the user terminal is an indoor user type of a macro station.

For example, let the preset distance value be 20m. During the duration, the TA of a user terminal in the MRO at a certain moment is 2, and the AOA is 90 degrees, then the MR data sampling point of the user terminal determined by TA and AOA is located between 156m and 234m from the due east of the cell. position; and the MR data sampling point of the user terminal determined by TA and AOA at the next moment is located between 78m and 156m in the east of the cell, then the change value of the position determined by AOA and TA within the duration If the distance is greater than 20m, the type identification module 3 can determine that the user terminal is an outdoor user type of a macro station.

If the MR data sampling point of the user terminal determined by TA and AOA at the next moment is still located between 156m and 234m from the due east of the cell, the change value of the position determined by AOA and TA within the duration is less than 20m, the type identification module 3 can determine that the user terminal is a macro station indoor user type.

Further, the type identification module 3 is also specifically used for:

If the duration of the ID of the user terminal in the xml file of the preset first duration exceeds the preset second duration, and the values of AOA and TA of the user terminal are empty, then

Obtain the position change value of the user terminal within the duration by using a three-point positioning algorithm;

If the position change value is not less than the preset distance value, it is determined that the user terminal is an outdoor user of the macro station.

Specifically, when the duration of the ID of the user terminal in the xml file of the preset first duration exceeds the preset second duration, but the reported AOA or TA value is empty, or there are other abnormalities, or MR data sampling If the point is unavailable, the type identification module 3 obtains the position change value of the user terminal within the duration by using a three-point positioning algorithm.

The three-point positioning algorithm includes:

Step 1. Carry out road tests around typical geomorphological areas. According to the road test results, use planning software to calibrate the propagation model and use it as a propagation model for other similar areas in a preset area (such as the whole city).

The typical landform areas may be irregular dense urban areas, high-rise commercial areas, regular/irregular ordinary urban areas, urban villages, open urban areas, industrial parks, and the like.

Step 2. Calculate the path loss according to the MR.LteScRSRP and MR.LteNcRSRP of each MR data sampling point, combined with the base station transmit power and antenna gain, and determine the distance between the user terminal and multiple eNBs according to the path loss through a suitable propagation model. The distances are denoted as R ₁ , R ₂ , R ₃ ,..., the positions of the multiple eNBs are denoted as (x ₁ , y ₁ ), (x ₂ , y ₂ ), (x ₃ , y ₃ )... …

向量

的前两项即为所述用户终端的估计坐标

其中，Step 3. Solve by the least squares method:

vector

The first two items are the estimated coordinates of the user terminal

in,

In the formula, i=1, 2, ... n.

If the position change value of the MR data sampling point corresponding to the ID of the user terminal is less than the preset distance value within the duration time, it can be determined that the user terminal is an outdoor user of the macro station.

If the position change value is smaller than the preset distance value, the type identification module 3 determines the user type of the user terminal according to the corresponding index field in the preset MR data.

Specifically, the type identification module 3 will make the following judgments according to the MR.LteScRSRP, MR.LteNcRSRP and MR.LteScPHR index fields of the MR data sampling points:

1. If the RSRP of the main serving cell at the MR data sampling point is greater than or equal to -90 dBm, the RSRP of the strongest neighboring cell is greater than or equal to -95 dBm, and the PHR is greater than or equal to 20, it is determined that the user terminal corresponding to the MR data sampling point is an outdoor user of the macro station.

2. If the RSRP of the main serving cell of the MR data sampling point is less than or equal to -90dBm, and the RSRP of the strongest neighboring cell is greater than or equal to -95dBm, it is determined that the user terminal corresponding to the MR data sampling point is an outdoor user of the macro station.

3. If the RSRP of the primary serving cell at the MR data sampling point is less than -100 dBm, and the RSRP of the strongest neighboring cell is less than -105 dBm, it is determined that the user terminal corresponding to the MR data sampling point is an indoor user of the macro station.

4. If the MR.LteScRSRP, MR.LteNcRSRP and MR.LteScPHR index fields of the MR data sampling point do not satisfy the above judgment conditions 1-3, it is judged that the user terminal corresponding to the MR data sampling point is another type of user.

It should be noted that, if the duration of the ID of the user terminal in the xml file of the preset first duration is less than the preset second duration, the type identification module 3 will also be based on the preset MR data. Corresponding indicator field, to judge the user type of the user terminal:

Specifically, the type identification module 3 will make the following judgments according to the MR.LteScRSRP, MR.LteNcRSRP and MR.LteScPHR index fields of the MR data sampling points:

21. If the RSRP of the primary serving cell at the MR data sampling point is greater than or equal to -90 dBm, the RSRP of the strongest neighboring cell is greater than or equal to -95 dBm, and the PHR is greater than or equal to 20, it is determined that the user terminal corresponding to the MR data sampling point is an outdoor user of the macro station.

22. If the RSRP of the primary serving cell of the MR data sampling point is less than or equal to -90dBm, and the RSRP of the strongest neighboring cell is greater than or equal to -95dBm, it is determined that the user terminal corresponding to the MR data sampling point is an outdoor user of the macro station.

23. If the RSRP of the primary serving cell at the MR data sampling point is less than -90dBm, and the RSRP of the strongest neighboring cell is less than -95dBm, it is determined that the user terminal corresponding to the MR data sampling point is an indoor user of the macro station.

24. If the MR.LteScRSRP, MR.LteNcRSRP, and MR.LteScPHR index fields of the MR data sampling point do not meet the judgment conditions 1-3 above, judge that the user terminal corresponding to the MR data sampling point is another type of user.

The base station provided by the embodiment of the present invention, due to the preset macro station user type identification algorithm used by the base station, can judge whether the user terminal is moving according to AOA+TA and the three-point positioning algorithm, and then identify the user type of the user terminal, thereby obtaining The recognition results have extremely high accuracy. In addition, since the base station can also combine index fields such as MR.LteScRSRP, MR.LteNcRSRP, and MR.LteScPHR to effectively identify user types for user terminals whose location movement information is unclear, the base station can realize almost all The identification of the user terminal type in this case has a very broad application prospect.

FIG. 5 is a structural block diagram of a TD-LTE user type identification device according to the present invention. Referring to FIG. 5 , an embodiment of the present invention further provides a TD-LTE user type identification device, including:

processor (processor) 501, memory (memory) 502, bus 503;

in,

The processor 501 and the memory 502 are connected through the bus 503;

The processor 501 is configured to call program instructions in the memory 502 to execute the methods provided by the above method embodiments, for example, including: determining the MR of the user terminal according to preset corresponding fields in the MR sample data of the measurement report determine whether the user terminal is an indoor user according to the occupied cell of the MR data sampling point of the user terminal; if not, according to the preset macro station user type identification algorithm, determine whether the user terminal is a macro station indoor user The user type or the macro station outdoor user type is judged.

The embodiment of the present invention also discloses a computer program product, the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer , the computer can execute the methods provided by the above method embodiments, for example, including: determining the MR data of the user terminal according to preset corresponding fields in the MR sample data of the measurement report; according to the occupied cell of the MR data sampling point of the user terminal Determine whether the user terminal is an indoor user; if not, determine whether the user terminal is a macro station indoor user type or a macro station outdoor user type according to a preset macro station user type identification algorithm.

Finally, the embodiments of the present invention further provide a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute the methods provided by the above method embodiments , for example, including: determining the MR data of the user terminal according to preset corresponding fields in the MR sample data of the measurement report; determining whether the user terminal is a room division user according to the occupied cell of the MR data sampling point of the user terminal; , then according to the preset macro station user type identification algorithm, it is determined whether the user terminal is a macro station indoor user type or a macro station outdoor user type.

Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments may be completed by program instructions related to hardware, the aforementioned program may be stored in a computer-readable storage medium, and when the program is executed, execute It includes the steps of the above method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other media that can store program codes.

From the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on this understanding, the above-mentioned technical solutions can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic A disc, an optical disc, etc., includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in various embodiments or some parts of the embodiments.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it can still be The technical solutions described in the foregoing embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (6)

1. a TD-LTE user type identification method, is characterized in that, comprises: Determine the MR data of the user terminal according to preset corresponding fields in the MR sample data of the measurement report; Determine whether the user terminal is an indoor user according to the occupied cell of the MR data sampling point of the user terminal; If not, according to a preset macro station user type identification algorithm, determine whether the user terminal is a macro station indoor user type or a macro station outdoor user type; Wherein, the preset macro station user type identification algorithm includes: If the duration of the ID of the user terminal in the extensible markup language xml file of the preset first duration exceeds the preset second duration, determine the antenna angle of arrival AOA of the user terminal And whether the change value of the position determined by the timing advance TA within the duration is less than the preset distance value; If yes, then determine that the user terminal is a macro station indoor user type; Wherein, the preset macro station user type identification algorithm further includes: If the duration of the ID of the user terminal in the xml file of the preset first duration exceeds the preset second duration, and the values of AOA and TA of the user terminal are empty, then Obtain the position change value of the user terminal within the duration by using a three-point positioning algorithm; If the position change value is not less than the preset distance value, it is determined that the user terminal is an outdoor user of the macro station. 2. The method according to claim 1, wherein, if the position change value is less than a preset distance value, then, The user type of the user terminal is determined according to the corresponding index field in the preset MR data. 3. The method according to claim 1, wherein if the duration of the ID of the user terminal in the xml file of the preset first duration is less than the preset second duration, then according to the preset MR The corresponding index field in the data is used to judge the user type of the user terminal. 4. A base station, comprising: a data determination module, configured to determine the MR data of the user terminal according to preset corresponding fields in the MR sample data of the measurement report; The room division confirmation module, the user determines whether the user terminal is a room division user according to the occupied cell of the MR data sampling point of the user terminal; a type identification module, configured to judge whether the user terminal is a macro station indoor user type or a macro station outdoor user type according to a preset macro station user type identification algorithm when the user terminal is a non-room user; The type identification module is specifically used for: If the duration of the ID of the user terminal in the extensible markup language xml file of the preset first duration exceeds the preset second duration, it is determined that the antenna angle of arrival AOA and the timing advance TA of the user terminal are determined by Whether the change value of the determined position within the duration is less than the preset distance value; If yes, then determine that the user terminal is a macro station indoor user type; The type identification module is also specifically used for: If the duration of the ID of the user terminal in the xml file of the preset first duration exceeds the preset second duration, and the values of AOA and TA of the user terminal are empty, then Obtain the position change value of the user terminal within the duration by using a three-point positioning algorithm; If the position change value is not less than the preset distance value, it is determined that the user terminal is an outdoor user of the macro station. 5. The base station according to claim 4, wherein the type identification module is further specifically used for: If the position change value is less than the preset distance value, then, The user type of the user terminal is determined according to the corresponding index field in the preset MR data. 6. The base station according to claim 4, wherein the type identification module is further specifically used for: If the duration of the ID of the user terminal in the xml file of the preset first duration is less than the preset second duration, the user type of the user terminal is determined according to the corresponding indicator field in the preset MR data. make a judgment.

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