CN103179583B

CN103179583B - A kind of network simulation method and device

Info

Publication number: CN103179583B
Application number: CN201110442048.4A
Authority: CN
Inventors: 程日涛; 赵旭凇; 汤利民; 张炎炎; 焦燕鸿; 朱强; 张华�; 刑小刚; 孟江涛
Original assignee: China Mobile Group Design Institute Co Ltd
Current assignee: China Mobile Group Design Institute Co Ltd
Priority date: 2011-12-26
Filing date: 2011-12-26
Publication date: 2015-07-29
Anticipated expiration: 2031-12-26
Also published as: CN103179583A

Abstract

The invention discloses a kind of network simulation method and device, adopt this technical scheme, the accuracy of network simulation result can be improved.The program comprises: determine each MR reporting point received power of correspondence and base station information of difference community, place respectively in the MR data of current network, according to determination result, determine the downlink propagation loss that the community at each MR reporting point difference place in current network is corresponding, the downlink propagation loss corresponding according to the community at MR reporting point difference place each in current network, and the link propagation loss difference between current network and planning network, determine the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point, the base station information corresponding according to the community at the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point and place respectively, determine the received power that each MR reporting point is corresponding respectively when planning network.

Description

A kind of network simulation method and device

Technical field

The present invention relates to communication technical field, particularly relate to a kind of network simulation method and device.

Background technology

Along with the growth of data traffic requirement, mobile communications network construction enters a new stage.In order to improve the service quality of wireless network, utilizing network planning result to instruct actual networking and the network optimization, is the importance of wireless network work.

The network planning generally comprises the steps such as demand analysis that wireless network builds, the pre-planning of base station site, network simulation and radio resource parameter planning, wherein, network simulation is one of core link of the network planning, and the accuracy of network simulation directly affects the accuracy of the network planning.At present, the work involved by network simulation mainly comprises the various parameters determining network, mainly comprises following two aspects:

One, network coverage prediction

Network coverage prediction mainly determines that the parameters such as planning network small area received power, Signal to Interference plus Noise Ratio are as network simulation result, provides foundation to the foundation of subsequent network and optimization.Fig. 1 shows the schematic flow sheet of network coverage prediction, as shown in Figure 1, mainly comprises the steps:

Step 101, choose setting number base station (base station chosen is called website) carry out propagation model revision.

In this step 101, the base station chosen normally can represent the base station of different type of ground objects, namely chooses the base station be positioned under different atural object type environment.

Step 102, carry out coverage prediction based on the propagation model after correcting, and based on the result adjustment base station site of coverage prediction and community basic parameter (base station site after adjustment and community basic parameter are called cover index).

In this step 102, the result of coverage prediction generally comprises common signal channel and covers level, SINR probability distribution, and Traffic Channel covers the information such as level, SINR probability distribution; Based on result adjustment base station site and the community basic configuration of coverage prediction, namely base station number, position is adjusted, cell power configuration (transmitting power, channel emission power biased etc.), antenna in cell configuration (antenna type, highly, deflection, angle of declination etc.).

Step 103, judge that whether cover index meets the covering index of network planning requirement, if so, performs step 104, if not, returns step 102.

Step 104, output meet the covering index of network planning requirement.

In this step 104, the covering index of output comprises common signal channel and covers level, SINR probability distribution, and Traffic Channel covers the information such as level.

So far, the flow process of network coverage prediction terminates.

Two, capacity predict

Capacity predict mainly determines that the parameters such as the capacity of planning network are as network simulation result, provides foundation to the foundation of subsequent network and optimization.Fig. 2 shows the schematic flow sheet of capacity predict, as shown in Figure 2, mainly comprises the steps:

Step 201, using electronic chart characterize type of ground objects as weight parameter, determine user's geographical distribution.

In this step 201, determine user's geographical distribution, namely determine user type and the quantity of the region allocation of different type of ground objects.

Step 202, carry out Capacity Simulation, and based on Capacity Simulation result adjustment cell configuration and cover parameter.

In this step 202, carry out Capacity Simulation, namely utilize the network coverage to predict the outcome to determine the overlay area of each community, user's geographic profile information that integrating step 201 is determined, obtain the user distribution of each community, and utilize the business model of setting to carry out Monte-Carlo Simulation; Based on result adjustment cell configuration and the covering parameter of Capacity Simulation, namely by cell capacity configuration (as carrier wave configuration, time slot configuration etc.) adjustment, the base station site in integrating step 102 and the adjustment of community basic configuration meet network capacity requirements.

Step 203, judge whether capacity performance index meets the capacity performance index of network planning requirement, if so, perform step 204, if not, return step 202.

Step 204, output meet the capacity performance index of network planning requirement.

In this step 204, the capacity performance index of output comprises the information such as rate of lost call, cell downlink average throughput, cell uplink average throughput, cell downlink edge throughput, cell uplink edge throughput.

So far, the flow process of capacity predict terminates.

By the flow process that Fig. 1 and Fig. 2 is corresponding, the network simulation result meeting network planning requirement can be determined, thus instruct network to set up and optimize.Set up at the network of reality and find in optimizing process, based on the network simulation result that the flow process that Fig. 1 and Fig. 2 is corresponding is determined, there are the following problems for possibility:

On the one hand, in network coverage forecasting process, carry out propagation model that network coverage prediction uses to carry out propagation model revision according to the website of the setting number chosen and obtain, by work quantitative limitation, station number for correcting selected by propagation model is more limited, therefore, this propagation module can not embody the actual transmissions situation of different base station in real network environment, comprises the propagation difference of data under different directions, different atural object condition in the propagation difference between base station, base station coverage area;

On the other hand, in capacity predict process, the determination result of user's geographical distribution depends on the type of ground objects of electronic chart sign, this determination result is just estimated roughly based on the one of atural object distribution situation, may differ greatly with actual user's distribution situation, and, moreover electronic chart generally lags behind principle limited precision practically, therefore, using the reference factor of electronic chart as capacity predict, the deviation of capacity predict result and actual conditions may be caused.

The comprehensively problem of above-mentioned two aspects, there is deviation with real network environment, thus reduces the accuracy of network simulation result in the network simulation result that the above-mentioned network simulation procedure provided based on prior art is determined.

Summary of the invention

In view of this, the embodiment of the present invention provides a kind of network simulation method and device, adopts this technical scheme, can improve the accuracy of network simulation result, thus instructs networking and optimization better.

The embodiment of the present invention is achieved through the following technical solutions:

According to an aspect of the embodiment of the present invention, provide a kind of network simulation method, comprising:

Determine the base station information that the community at received power that in the measurement result MR data of current network, each MR reporting point is corresponding respectively and described each MR reporting point place is respectively corresponding;

The base station information that the community at the received power corresponding respectively according to each MR reporting point and respectively place is corresponding, determines the downlink propagation loss that the community at the place respectively of each MR reporting point in current network is corresponding;

The downlink propagation loss corresponding according to the community at MR reporting point each in current network place respectively and the link propagation loss difference between the current network determined and planning network, determine the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point;

The base station information corresponding according to the community at the downlink propagation loss that the community at place is corresponding respectively when planning network of described each MR reporting point and described each MR reporting point place respectively, determines the received power that described each MR reporting point is corresponding respectively when planning network.

According to another aspect of the embodiment of the present invention, additionally provide a kind of network simulation device, comprising:

MR data determination unit, for determine current network measurement result MR data in the corresponding respectively received power of each MR reporting point;

Base station information determining unit, for determining the base station information that the community at described each MR reporting point difference place is corresponding;

Downlink propagation loss determining unit, the base station information that the community at each MR reporting point of determining of the received power corresponding respectively for each MR reporting point of determining according to described MR data determination unit and described base station information determining unit place is respectively corresponding, determine the downlink propagation loss that the community at each MR reporting point difference place in current network is corresponding, and the downlink propagation loss corresponding according to the community at MR reporting point difference place each in current network, and the link propagation loss difference between the current network determined and planning network, determine the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point,

Network simulation result determining unit, for the base station information that the community at the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point of determining according to described downlink propagation loss determining unit and each MR reporting point that described base station information determining unit is determined place is respectively corresponding, determine the received power that described each MR reporting point is corresponding respectively when planning network.

By at least one technical scheme above-mentioned that the embodiment of the present invention provides, base station information that can be corresponding according to the community at the corresponding respectively received power of each MR reporting point in the MR data of current network and each MR reporting point place respectively, determine the downlink propagation loss that the community at each MR reporting point difference place in current network is corresponding, and downlink propagation loss corresponding according to the community at MR reporting point difference place each in current network further, and the link propagation loss difference between the current network determined and planning network, determine the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point, and then the base station information corresponding according to the community at the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point and each MR reporting point place respectively, determine that each MR reporting point received power that difference is corresponding when planning network is as network simulation result.According to this technical scheme, according to the MR data of current network when determining network simulation result, due to the measurement result that MR data are to real network situation, real network environment can be reflected, thus compared with prior art, the accuracy of network simulation result can be improved, thus instruct networking and optimization better.

Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from specification, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in write specification, claims and accompanying drawing and obtain.

Accompanying drawing explanation

Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for specification, is used from explanation the present invention, is not construed as limiting the invention with the embodiment of the present invention one.In the accompanying drawings:

The schematic flow sheet of the network coverage prediction that Fig. 1 provides for background technology;

The schematic flow sheet of the capacity predict that Fig. 2 provides for background technology;

A schematic flow sheet of the determination network simulation result that Fig. 3 provides for the embodiment of the present invention one;

The schematic diagram of the link load computation model that Fig. 4 provides for the embodiment of the present invention one;

The schematic flow sheet of the link propagation loss difference between the determination current network that Fig. 5 provides for the embodiment of the present invention one and planning network;

Fig. 6 meets a schematic flow sheet of the simulation result of desired value for determination that the embodiment of the present invention one provides;

The schematic flow sheet of the received power that the adjacent cell of determination MR reporting point that Fig. 7 provides for the embodiment of the present invention one community at place when planning network is corresponding;

The schematic flow sheet of the SINR that the community at determination MR reporting point that Fig. 8 provides for the embodiment of the present invention one place when planning network is corresponding;

Fig. 9 meets another schematic flow sheet of the simulation result of desired value for determination that the embodiment of the present invention one provides;

The schematic flow sheet of the determination network capacity that Figure 10 provides for the embodiment of the present invention one;

Figure 11 meets another schematic flow sheet of the simulation result of desired value for determination that the embodiment of the present invention one provides;

The structural representation of the network simulation device that Figure 12 provides for the embodiment of the present invention two.

Embodiment

In order to provide the implementation of the accuracy improving network simulation result, embodiments provide a kind of network simulation method and device, below in conjunction with Figure of description, the preferred embodiments of the present invention are described, be to be understood that, preferred embodiment described herein, only for instruction and explanation of the present invention, is not intended to limit the present invention.And when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.

Embodiment one

The embodiment of the present invention one provides a kind of network simulation method, the method can be applied in network planning process, especially the network simulation procedure of the network planning can be applied to, in practical application, this network simulation method goes for foundation and the optimization of various network, such as, to GPRS (General Packet Radio Service, general packet radio service) optimization of network, the foundation etc. of TD-LTE (TD-SCDMA Long Term Evolution, the Long Term Evolution of TD-SCDMA) network.

In the present embodiment one, network simulation depends on MR (Measure Result, measurement result) data, due to the measurement result that MR data are to real network situation, real network environment can be reflected, therefore, by the method increasing the accuracy of the network simulation result determined, thus better the network planning is instructed.

In the present embodiment one, the network simulation result determined mainly comprises the parameter of the coverage condition for characterizing planning network and the parameter for the capacity that characterizes planning network; Wherein, can be the received power corresponding to respectively planning network of each MR reporting point for characterizing the parameter of the coverage condition of planning network, preferably, this parameter being used for the coverage condition characterizing planning network can further include each MR reporting point SINR (Signal to Interference plus Noise Ratio, Signal to Interference plus Noise Ratio) that the community at place is corresponding respectively when planning network; Parameter for characterizing the capacity of planning network can be specially data rate total in planning network, i.e. throughput.

In the present embodiment one, need to obtain MR data, these MR data can obtain from the MR functional module of base station network management system, particularly, mainly comprise following content in the MR data of acquisition:

1, the common down channel received field strength information that in current network (i.e. existing network), each MR reporting point is corresponding, wherein, the common down channel received field strength information that MR reporting point is corresponding and received power corresponding to MR reporting point;

2, each adjacent cell of the community at current network each MR reporting point place corresponding common down channel received field strength information respectively, the received power that namely each adjacent cell of the community at MR reporting point place is corresponding respectively;

The MR data report frequency of 3, the MR data report frequency of community, MR reporting point place, and the adjacent cell of community, MR reporting point place.

In above-mentioned MR data, the received power that in current network, MR reporting point is corresponding, is mainly used in the received power determining that MR reporting point is corresponding respectively when planning network; The received power of each adjacent cell difference correspondence of the community at MR reporting point place, is mainly used in determining the MR reporting point SINR that the community at place is corresponding respectively when planning network; The MR data report frequency of the MR data report frequency of community, MR reporting point place and the adjacent cell of community, MR reporting point place, is mainly used in the capacity determining planning network.

In the present embodiment one, after getting MR data, during the network simulation result determined, also need to take base station information as foundation further, namely need to obtain base station information, this base station information mainly comprises following content:

1, the information such as latitude and longitude of base station, aerial information (directional diagram, deflection, angle of declination), feeder loss;

2, base station down common signal channel tranmitting frequency (i.e. the tranmitting frequency of base station) information;

3, transmitting power (i.e. the transmitting power of the base station) information of base station down common signal channel.

In above-mentioned base station information, transmitting power (i.e. the transmitting power of the base station) information of the information such as latitude and longitude of base station, aerial information (directional diagram, deflection, angle of declination), feeder loss and base station down common signal channel, be mainly used in the downlink propagation loss determining that the community at MR reporting point place in current network is corresponding, and determine the received power that MR reporting point is corresponding respectively when planning network.

Fig. 3 shows the schematic flow sheet of the determination network simulation result that the present embodiment one provides, and as shown in Figure 3, this determines the process of network simulation result, mainly comprises the steps:

Step 301, from the MR data obtained, determine the received power that in MR data, each MR reporting point is corresponding respectively, and from the base station information obtained, determine the base station information that the community at each MR reporting point place is respectively corresponding.

Step 302, the base station information corresponding according to the community at the corresponding respectively received power of each MR reporting point and place respectively, determine the downlink propagation loss that the community at the place respectively of each MR reporting point in current network is corresponding.

Step 303, according to downlink propagation loss corresponding to the community at MR reporting point each in current network place respectively and the link propagation loss difference between the current network determined and planning network, determine the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point.

Step 304, the base station information corresponding according to the community at the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point and each MR reporting point place respectively, determine the received power that each MR reporting point is corresponding respectively when planning network.

So far, determine that the flow process of network simulation result terminates.By the flow process that Fig. 3 is corresponding, the network simulation result determined is the parameter of the coverage condition for characterizing planning network.

In the present embodiment one, furthermore present the preferred implementation of the step 302 that the corresponding flow process of Fig. 3 comprises, in this step 302, need to determine the downlink propagation loss that the community at each MR reporting point place in current network is corresponding, wherein, base station information corresponding to the received power corresponding according to MR reporting point and the community at place, determine the downlink propagation loss that the community at this MR reporting point place in current network is corresponding, can based on the link load computation model shown in Fig. 4, in this model, P_Tx is the transmitting power of base station, Ga_BS is the antenna gain of base station, Ga_UE is the antenna gain of travelling carriage, Lf_BS is the feeder loss of base station, PL_DL is downlink propagation loss corresponding to the community at MR reporting point place, this downlink propagation loss comprises spatial loss, building penetration loss, shadow fading, human body loss etc.Based on the link load computation model shown in Fig. 4, can determine, the determination formula of the received power P_Rx that in current network, MR reporting point is corresponding is as follows:

P_Rx=P_Tx+Ga_BS-Lf_BS-PL_DL+Ga_UE formula (1)

Wherein:

According to above-mentioned formula (1), can determine that the determination formula of the downlink propagation loss PL_DL1 that the community at MR reporting point place in current network is corresponding is as follows:

PL_DL1=P_Tx+Ga_BS-Lf_BS-P_Rx+Ga_UE formula (2)

Wherein, P_Rx is the received power that this MR reporting point is corresponding, the implication of P_Tx, Ga_BS, Lf_BS and Ga_UE and identical in formula (1).

Visible according to formula (2), when determining downlink propagation loss PL_DL1 corresponding to the community at MR reporting point place in current network, first can determine the base station transmitting power P_Tx that base station information corresponding to the community at this MR reporting point place comprises and antenna gain sum (Ga_BS+Ga_UE), then utilize obtain and, deduct the feeder loss Lf_BS that received power P_Rx corresponding to this MR reporting point and base station information comprise, thus the downlink propagation loss PL_DL1 that the community obtaining this MR reporting point place in current network is corresponding.

In the present embodiment one, furthermore present the preferred implementation of the step 303 that the corresponding flow process of Fig. 3 comprises, in this step 303, need to determine the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point, concrete deterministic process is as follows:

The downlink propagation loss that the community at MR reporting point place when planning network is corresponding, the downlink propagation loss corresponding by the community at this MR reporting point place in current network and the link propagation loss difference between current network and planning network are determined, therefore, determine the downlink propagation loss that the community at MR reporting point place when planning network is corresponding, need the link propagation loss difference determined between current network and planning network, the method that this link propagation loss difference can be corrected by contrast model determines that planning network and current network are based on frequency, distance, the covering power difference of atural object condition obtains.Fig. 5 shows the schematic flow sheet of the link propagation loss difference determined between current network and planning network, and as shown in Figure 5, this deterministic process mainly comprises the steps:

Step 501, the frequency range used by frequency sweep determination current network.

Step 502, choose base station site and carry out mode correction.

In this step 502, can choose the website that 3-6 base station corrects as mode, the base station selected should comprise atural object condition as much as possible.

Step 503, based on the propagation model after correcting, the path loss between each frequency range that the system under current network measured is determined in frequency sweep, and the path loss between each frequency range that under prediction planning network, system is determined in frequency sweep.

In this step 503, the path loss of system between each frequency range under measuring current network and predicting planning network, needs to arrange system and works under the same conditions.

Step 504, screen measuring the data that obtain and analyze, select the link propagation loss difference PL_DL_DIFF between approximating method determination current network and planning network.

So far, determine that the flow process of the link propagation loss difference between current network and planning network terminates.

Reality with in, above-mentionedly determine that the process of the link propagation loss difference PL_DL_DIFF between current network and planning network can perform in this step 303, also can be predefined before this step of enforcement, to improve computational efficiency.

After determining the link propagation loss difference PL_DL_DIFF between current network and planning network, can determine by following formula the received power that MR reporting point is corresponding to planning network:

Suppose that the received power RSRP that MR reporting point is corresponding when planning network is P_Rx2, then have:

P_Rx2=P_Tx+Ga_BS-Lf_BS-PL_DL2+Ga_UE formula (3)

Wherein, PL_DL2 is downlink propagation loss corresponding to the community at MR reporting point place when planning network, and the computing formula of this PL_DL2 is as follows:

PL_DL2=PL_DL1+PL_DL_DIFF, namely utilizes downlink propagation loss corresponding to the community at this MR reporting point place to add link propagation loss difference between current network and planning network.

Visible according to formula (3), when determining the MR reporting point received power P_Rx2 corresponding when planning network, first the base station transmitting power P_Tx that base station information corresponding to the community at this MR reporting point place comprises and antenna gain sum (Ga_BS+Ga_UE) is determined, then utilize obtain and, deduct the feeder loss Lf_BS that downlink propagation loss PL_DL2 corresponding to the community at this MR reporting point place when planning network and base station information comprise, obtain the received power P_Rx2 that this MR reporting point is corresponding when planning network.

In another preferred implementation that the present embodiment one provides, in order to improve the accuracy of the simulation result determined further, the network planning can be pre-set to the desired value receiving power requirement, this desired value can be arranged according to the requirement of the network planning, arrange based on this, after the received power corresponding respectively when above-mentioned steps 304 determines each MR reporting point at planning network, further the desired value of determination result and setting can be compared, to determine the simulation result that can meet network planning desired value.Fig. 6 shows the schematic flow sheet of the simulation result determining to meet desired value, as shown in Figure 6, mainly comprises the steps:

Step 601, from the MR data obtained, determine the received power that in MR data, each MR reporting point is corresponding respectively, and from the base station information obtained, determine the base station information that the community at each MR reporting point place is respectively corresponding.

Step 602, the base station information corresponding according to the community at the corresponding respectively received power of each MR reporting point and place respectively, determine the downlink propagation loss that the community at the place respectively of each MR reporting point in current network is corresponding.

Step 603, according to downlink propagation loss corresponding to the community at MR reporting point each in current network place respectively and the link propagation loss difference between the current network determined and planning network, determine the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point.

Step 604, the base station information corresponding according to the community at the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point and each MR reporting point place respectively, determine the received power that each MR reporting point is corresponding respectively when planning network.

The concrete implementation of above-mentioned steps 601 to step 604 is consistent with the concrete implementation of above-mentioned steps 301 to step 304, repeats no more herein.

Step 605, determine whether the received power that each MR reporting point is corresponding respectively when planning network meets the network planning to the desired value receiving power requirement, if so, performs step 606, if not, performs step 607.

The desired value of step 605, setting can be the statistical value of the received power that each MR reporting point is corresponding respectively when planning network, correspondingly, in this step, determine whether received power that each MR reporting point is corresponding respectively when planning network meets the network planning to when receiving the desired value of power requirement, also need first to determine a statistical value according to each MR reporting point received power corresponding respectively when planning network, and then compare the desired value whether this statistical value meets setting.Described hereinly be only the optimal way realizing the present embodiment, in practical application, a desired value can also be set for the received power that each MR reporting point is corresponding to respectively planning network, or the mean value setting each MR reporting point received power corresponding respectively when planning network, as desired value, will not enumerate herein.

Step 606, the received power that each MR reporting point determined is corresponding to respectively planning network to be exported as network simulation result.

Step 607, adjust in base station information corresponding to the community at each MR reporting point respectively place the first setup parameter after, return step 601.

In this step 607, in the base station information of adjustment, parameter type and adjustment amount can pre-set, such as, what can adjust in each base station information such as transmitting power or base station down common signal channel tranmitting frequency of base station down common signal channel is one or more, generally, the parameter adjusted in the base station information that the community at each MR reporting point place is respectively corresponding is identical.

So far, determine that the flow process of the simulation result meeting desired value terminates.

Time above for the received power that to be each MR reporting point corresponding to respectively planning network of simulation result in the present embodiment one, determine that the process of this simulation result has been described in detail.In the present embodiment one, can also further other network simulation result, such as, that can determine in following parameter is one or more:

Determine each MR reporting point received power that each adjacent cell of the community at place is corresponding respectively when planning network;

Determine each MR reporting point SINR that the community at place is corresponding respectively when planning network;

Determine the capacity of planning network.

Particularly, the deterministic process of each parameter is as follows:

One, each MR reporting point received power that each adjacent cell of the community at place is corresponding respectively when planning network is determined

Respectively the deterministic process of the received power that each adjacent cell of the community at place is corresponding is identical when planning network for each MR reporting point, below for determining that the process of the received power that an adjacent cell of MR reporting point community at place when planning network is corresponding is described in detail.

Fig. 7 shows the schematic flow sheet determining the received power that the adjacent cell of MR reporting point community at place when planning network is corresponding, and as shown in Figure 7, this deterministic process mainly comprises the steps:

Step 701, determine the received power that the adjacent cell of the community at this MR reporting point place is corresponding and base station information corresponding to this adjacent cell.

Step 702, according to received power corresponding to the adjacent cell of the community at this MR reporting point place and base station information corresponding to this adjacent cell, determine the downlink propagation loss that this adjacent cell of the community at this MR reporting point place in current network is corresponding.

Step 703, according to downlink propagation loss corresponding to this adjacent cell of the community at this MR reporting point place in current network and the link propagation loss difference between the current network determined and planning network, determine the downlink propagation loss that this adjacent cell of the community at this MR reporting point place when planning network is corresponding.

Step 704, the base station information corresponding according to this adjacent cell of the community at downlink propagation loss corresponding to this adjacent cell of this MR reporting point community at place when planning network and this MR reporting point place, determine the received power that this adjacent cell of the community at this MR reporting point place when planning network is corresponding.

So far, determine that the flow process of the received power that the adjacent cell of MR reporting point community at place when planning network is corresponding terminates.In above-mentioned flow process, step 701 is substantially identical with the specific implementation principle of above-mentioned steps 301 to step 304 to the specific implementation principle of step 704, repeats no more herein.

Two, each MR reporting point SINR that the community at place is corresponding respectively when planning network is determined

The received power corresponding respectively when determining each MR reporting point at planning network, and after determining each MR reporting point received power that each adjacent cell of the community at place is corresponding respectively when planning network, each MR reporting point SINR that the community at place is corresponding respectively when planning network can be determined further.Particularly, respectively the deterministic process of the Signal to Interference plus Noise Ratio SINR that the community at place is corresponding is identical when planning network for each MR reporting point, below for determining that the process of MR reporting point Signal to Interference plus Noise Ratio SINR that the community at place is corresponding when planning network is described in detail.

Fig. 8 shows the schematic flow sheet determining the SINR that the community at MR reporting point place when planning network is corresponding, and as shown in Figure 8, this deterministic process mainly comprises the steps:

Step 801, the received power corresponding according to each adjacent cell of this MR reporting point community at place when planning network, determine the RSSI (Received Signal Strength Indication, the signal strength signal intensity instruction of reception) that this MR reporting point is corresponding.

Step 802, according to this MR reporting point corresponding received power and RSSI corresponding to this MR reporting point when planning network, determine the SINR that the community at this MR reporting point place when planning network is corresponding.

So far, determine that the flow process of the SINR that the community at MR reporting point place when planning network is corresponding terminates.

In above-mentioned steps 801, the RSSI that this MR reporting point is corresponding comprises adjacent area interference, white noise, can be determined by following formula:

RSSI = γ * Σ_{i = 0}^{N - 1} (α_{i} * β_{i} * {RSRP}_{i}) + KTB

Formula (4)

Wherein:

I represents current MR reporting point;

α _ifor RSRP power and PDSCH (Physical Downlink Shared Channel, Physical Downlink Shared Channel) the power bias factor, be generally 1;

β _ifor the cell load factor;

γ is interference excretion factor;

KTB is white noise.

In above-mentioned steps 802, the SINR that the community at this MR reporting point place when planning network is corresponding can be determined by following formula:

SINR=RSRP/ (RSSI-RSRP) formula (5)

Wherein:

RSRP refers to the received power that this MR reporting point is corresponding when planning network.

In another preferred implementation that the present embodiment one provides, in order to improve the accuracy of the simulation result determined further, the desired value that the network planning requires SINR can be pre-set, this desired value can be arranged according to the requirement of the network planning, arrange based on this, after the SINR that the community at place is corresponding respectively when the flow process corresponding by Fig. 8 determines each MR reporting point at planning network, further the desired value of determination result and setting can be compared, to determine the simulation result that can meet network planning desired value.Fig. 9 shows the schematic flow sheet of the simulation result determining to meet desired value, as shown in Figure 9, mainly comprises the steps:

Step 901, the received power corresponding according to each adjacent cell of this MR reporting point community at place when planning network, determine the RSSI that this MR reporting point is corresponding.

Step 902, according to this MR reporting point corresponding received power and RSSI corresponding to this MR reporting point when planning network, determine the SINR that the community at this MR reporting point place when planning network is corresponding.

The concrete implementation of above-mentioned steps 901 to step 902 is consistent with the concrete implementation of above-mentioned steps 801 to step 802, repeats no more herein.

Step 903, determine the desired value whether each MR reporting point SINR that the community at place is corresponding respectively when planning network meets the network planning and require SINR if so, to perform step 904, if not, perform step 905.

In this step 903, the desired value of setting can be each MR reporting point distinguishes SINR corresponding to the community at place statistical value when planning network, concrete setting principle is planned the principle of the desired value receiving power requirement substantially identical with setting network in above-mentioned steps 605, repeats no more herein.

Step 904, each MR reporting point the determined SINR that the community at place is corresponding respectively when planning network to be exported as network simulation result.

Step 905, adjust in base station information corresponding to the community at each MR reporting point respectively place the second setup parameter after, return step 901.

In this step 905, in the base station information of adjustment, parameter type and adjustment amount can pre-set, such as, what can adjust in each base station information such as transmitting power or base station down common signal channel tranmitting frequency of base station down common signal channel is one or more, generally, the parameter adjusted in the base station information that the community at each MR reporting point place is respectively corresponding is identical.

Three, the capacity of planning network is determined

After the SINR that the community at place is corresponding respectively when determining each MR reporting point at planning network, can determine network capacity further, Figure 10 shows the schematic flow sheet determining network capacity, as shown in Figure 10, mainly comprises the steps:

Step 1001, according to each MR reporting point SINR that the community at place is corresponding respectively when planning network, and the corresponding relation of SINR and data rate, determines the data rate of each SINR correspondence respectively.

Step 1002, determine the product of the user distribution rate of the community that data rate that each SINR is corresponding is corresponding with this SINR.

In this step 1002, the user distribution rate of the community that SINR is corresponding is determined according to the MR data report frequency of community corresponding to this SINR, and user distribution rate is directly proportional to the report frequency, namely the MR data report frequency of community is larger, illustrates that the user that this community distributes is more.

Step 1003, by the product addition of data rate corresponding for each SINR and user distribution rate, obtain the capacity of planning network.

So far, determine that the flow process of network capacity terminates.

In the corresponding flow process of Figure 10, step 1002 and step 1003 can be determined by following formula:

n = Σ_{i = 0}^{N - 1} R_{i} * x_{i}

Formula (6)

Wherein:

N represents network capacity; I refers to i-th MR reporting point, and N is the quantity of MR reporting point;

R _irepresent the data rate that SINR corresponding to the community at i-th MR reporting point place when planning network is corresponding;

X _irepresent the user distribution rate of the community that SINR corresponding to the community at i-th MR reporting point place when planning network is corresponding.

In another preferred implementation that the present embodiment one provides, in order to improve the accuracy of the simulation result determined further, the desired value of the network planning to network capacity can be pre-set, this desired value can be arranged according to the requirement of the network planning, arrange based on this, after the flow process corresponding by Figure 10 determines network capacity, can further the desired value of determination result and setting be compared, to determine the simulation result that can meet network planning desired value.Figure 11 shows the schematic flow sheet of the simulation result determining to meet desired value, as shown in figure 11, mainly comprises the steps:

Step 1101, according to each MR reporting point SINR that the community at place is corresponding respectively when planning network, and the corresponding relation of SINR and data rate, determines the data rate of each SINR correspondence respectively.

Step 1102, determine the product of the user distribution rate of the community that data rate that each SINR is corresponding is corresponding with this SINR.

Step 1103, by the product addition of data rate corresponding for each SINR and user distribution rate, obtain the capacity of planning network.

The concrete implementation of above-mentioned steps 1101 to step 1103 is consistent with the concrete implementation of above-mentioned steps 1001 to step 1003, repeats no more herein.

Step 1104, determine whether the capacity of planning network meets the desired value of the network planning to capacity requirement, if so, perform step 1105, if not, perform step 1106.

In this step 1104, the number of users that the desired value of setting will be able to be held according to network is specifically arranged.

Step 1105, the network capacity determined to be exported as network simulation result.

Step 1106, adjust in base station information corresponding to the community at each MR reporting point respectively place the 3rd setup parameter after, return step 1101.

In this step 1106, in the base station information of adjustment, parameter type and adjustment amount can pre-set, such as, what can adjust in each base station information such as transmitting power or base station down common signal channel tranmitting frequency of base station down common signal channel is one or more, generally, the parameter adjusted in the base station information that the community at each MR reporting point place is respectively corresponding is identical.

So far, determine that the flow process of the network capacity meeting network planning requirement terminates.

In the present embodiment one, if the network simulation result determined does not meet the desired value that the network planning requires, then need to adjust base station information further, correspondingly, when have adjusted base station information, the base station information of acquisition is base station information corresponding to the community at each MR reporting point after adjustment parameter place respectively.

Deterministic process when below comprising different parameters for network simulation result is respectively illustrated, be to be understood that, in the present embodiment one, if be provided with the desired value of network planning requirement to each network simulation result, can after determining each network simulation result, first desired value corresponding with it for this network simulation result is compared, when meeting the desired value of its correspondence, determine follow-up network simulation result further, in incongruent situation, can first adjust base station information, then this network simulation result is redefined, until after the network simulation result determined meets corresponding desired value, go again to determine follow-up network simulation result.Such as, the received power (parameter one) corresponding respectively when the network simulation result determined comprises each MR reporting point at planning network, during capacity (parameter three) of each MR reporting point SINR (parameter two) that respectively community at place is corresponding when planning network and planning network, owing to determining that parameter two needs the determination result according to parameter one, and determine that parameter three needs the determination result according to parameter one and parameter two, therefore, received power that can be corresponding respectively when determining each MR reporting point at planning network meets the network planning to after the desired value of reception power requirement, determine each MR reporting point SINR that the community at place is corresponding respectively when planning network again, and after the SINR that the community at place is corresponding respectively when determining each MR reporting point at planning network meets the desired value that the network planning requires SINR, determine network capacity further again, until network capacity meets the desired value of planning network to network capacity requirement.By which, when network simulation result is multiple, the efficiency determining the network simulation result of the desired value meeting network planning requirement can be improved.

By at least one technical scheme above-mentioned that the embodiment of the present invention provides, according to the MR data of current network when determining network simulation result, due to the measurement result that MR data are to real network situation, real network environment can be reflected, thus compared with prior art, the accuracy of network simulation result can be improved, thus instruct networking and optimization better.

Further, based on MR, network capacity of the present invention reports that the user distribution situation that the frequency is determined is determined, and prior art carries out random distribution according to type of ground objects etc., relative to the blindness of the determination mode of prior art, user distribution prediction of the present invention is more accurate.

Embodiment two

Corresponding with said method flow process, the embodiment of the present invention two provides a kind of network simulation device, can be improved the accuracy of the network simulation result determined by this device.

Figure 12 shows the structural representation of this network simulation device, and as shown in figure 12, this network simulation device, mainly comprises:

MR data determination unit 1201, base station information determining unit 1202, downlink propagation loss determining unit 1203 and network simulation result determining unit 1204;

Wherein:

MR data determination unit 1201, for determine current network measurement result MR data in the corresponding respectively received power of each MR reporting point;

Base station information determining unit 1202, for determining the base station information that the community at each MR reporting point difference place is corresponding;

Downlink propagation loss determining unit 1203, the base station information that the community at each MR reporting point of determining of the received power corresponding respectively for each MR reporting point of determining according to MR data determination unit 1201 and base station information determining unit 1202 place is respectively corresponding, determine the downlink propagation loss that the community at each MR reporting point difference place in current network is corresponding, and the downlink propagation loss corresponding according to the community at MR reporting point difference place each in current network, and the link propagation loss difference between the current network determined and planning network, determine the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point,

Network simulation result determining unit 1204, for the base station information that the community at the downlink propagation loss that the community at place is corresponding respectively when planning network of each MR reporting point of determining according to downlink propagation loss determining unit 1203 and each MR reporting point that base station information determining unit is determined place is respectively corresponding, determine the received power that each MR reporting point is corresponding respectively when planning network.

In the preferred implementation that the present embodiment two provides, the downlink propagation loss determining unit 1203 that Figure 12 shown device comprises, specifically for:

Determine the base station transmitting power that base station information corresponding to the community at this MR reporting point place comprises and antenna gain sum, and utilize obtain and, deduct the feeder loss that received power corresponding to this MR reporting point and base station information comprise, obtain the downlink propagation loss that the community at this MR reporting point place in current network is corresponding.

In the preferred implementation that the present embodiment two provides, the network simulation result determining unit 1204 that Figure 12 shown device comprises, specifically for:

Determine the base station transmitting power that base station information corresponding to the community at this MR reporting point place comprises and antenna gain sum, and the feeder loss utilizing downlink propagation loss corresponding to community that is that obtain and that deduct this MR reporting point place when planning network and base station information to comprise, obtain the received power that this MR reporting point is corresponding when planning network.

In the preferred implementation that the present embodiment two provides, the network simulation result determining unit 1204 that Figure 12 shown device comprises, also for:

After the received power corresponding respectively when determining each MR reporting point at planning network, determine whether the received power that each MR reporting point is corresponding respectively when planning network meets the network planning to the desired value receiving power requirement, and when determination result is no, adjust the first setup parameter in base station information corresponding to the community at each MR reporting point respectively place.

In the preferred implementation that the present embodiment two provides, the MR data determination unit 1201 that Figure 12 shown device comprises, also for received power corresponding to the adjacent cell of the community determining each MR reporting point place and base station information corresponding to adjacent cell;

Correspondingly, downlink propagation loss determining unit 1203, also for received power corresponding to the adjacent cell of the community according to MR reporting point place and base station information corresponding to adjacent cell, determine the downlink propagation loss that the adjacent cell of the community at MR reporting point place in current network is corresponding, the downlink propagation loss corresponding according to the adjacent cell of the community at MR reporting point place in current network, and the link propagation loss difference between the current network determined and planning network, determine the downlink propagation loss that the adjacent cell of MR reporting point community at place when planning network is corresponding,

Correspondingly, network simulation result determining unit 1204, also for the base station information that the adjacent cell of the community according to downlink propagation loss corresponding to the adjacent cell of MR reporting point community at place when planning network and MR reporting point place is corresponding, determine the received power that the adjacent cell of MR reporting point community at place when planning network is corresponding.

Determine the received power that each MR reporting point is corresponding respectively when planning network, and after determining each MR reporting point received power that each adjacent cell of the community at place is corresponding respectively when planning network, received power corresponding according to each adjacent cell of each MR reporting point community at place when planning network respectively, determine the received signal strength indicator RSSI that each MR reporting point is corresponding, and according to each MR reporting point corresponding received power and RSSI of answering when planning network, determine the SINR that the community at each MR reporting point place when planning network is corresponding.

Determine the desired value whether each MR reporting point SINR that the community at place is corresponding respectively when planning network meets the network planning and require SINR, and when determination result is no, adjust the second setup parameter in base station information corresponding to the community at each MR reporting point respectively place.

After determining each MR reporting point SINR that the community at place is corresponding respectively when planning network, according to each MR reporting point SINR that the community at place is corresponding respectively when planning network, and the corresponding relation of SINR and data rate, determine the data rate that each SINR is corresponding respectively; Determine the product of the user distribution rate of the community that data rate that each SINR is corresponding is corresponding with this SINR, wherein, the user distribution rate of the community that SINR is corresponding is determined according to the MR data report frequency of community corresponding to this SINR, and user distribution rate is directly proportional to the report frequency; By the product addition of data rate corresponding for each SINR and user distribution rate, obtain the capacity of planning network.

After obtaining the capacity of planning network, determine whether the capacity of planning network meets the desired value of the network planning to capacity requirement, and when determination result is no, adjust the 3rd setup parameter in base station information corresponding to the community at each MR reporting point place respectively.

In the preferred implementation that the present embodiment two provides, the base station information determining unit 1202 that Figure 12 shown device comprises, specifically for:

Determine the base station information that the community at each MR reporting point difference place after network simulation result determining unit adjustment parameter is corresponding.

Should be appreciated that the logical partitioning that unit that above network simulation device comprises is only the function that realizes according to this terminal and carries out, in practical application, superposition or the fractionation of said units can be carried out.And the function that the network simulation device that this embodiment provides realizes and the network simulation method flow process one_to_one corresponding that above-described embodiment provides, for the handling process specifically that this device realizes, be described in detail in said method embodiment, be not described in detail herein.

Further, the network simulation device in the present embodiment two also has the corresponding function module that can realize embodiment one scheme, repeats no more herein.

Although described the preferred embodiment of the application, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the application's scope.

Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.

Claims

1. a network simulation method, is characterized in that, comprising:

2. the method for claim 1, is characterized in that, base station information corresponding to the received power corresponding according to MR reporting point and the community at place, determines to comprise the downlink propagation loss that the community at this MR reporting point place in current network is corresponding:

Determine the base station transmitting power that base station information corresponding to the community at this MR reporting point place comprises and antenna gain sum;

Utilize the described base station transmitting power and antenna gain sum that obtain, deduct the feeder loss that received power corresponding to this MR reporting point and described base station information comprise, obtain the downlink propagation loss that the community at this MR reporting point place in current network is corresponding.

3. the method for claim 1, it is characterized in that, the base station information corresponding according to the community at the downlink propagation loss that the community at place is corresponding when planning network of MR reporting point and this MR reporting point place, determine to comprise the received power that this MR reporting point is corresponding when planning network:

The feeder loss utilizing downlink propagation loss corresponding to community that is that obtain and that deduct this MR reporting point place when planning network and described base station information to comprise, obtains the received power that this MR reporting point is corresponding when planning network.

4. the method for claim 1, is characterized in that, after determining the received power that described each MR reporting point is corresponding respectively when planning network, also comprises:

Determine the desired value whether received power that described each MR reporting point is corresponding respectively when planning network meets the network planning and require described received power;

When determination result is no, adjust the first setup parameter in base station information corresponding to the community at described each MR reporting point place respectively.

5. the method for claim 1, is characterized in that, also comprises:

Determine described each MR reporting point received power that each adjacent cell of the community at place is corresponding respectively when planning network; Wherein, determine to comprise the received power that the adjacent cell of MR reporting point community at place when planning network is corresponding:

Determine the received power that the adjacent cell of the community at this MR reporting point place is corresponding and base station information corresponding to this adjacent cell;

The received power corresponding according to the adjacent cell of the community at this MR reporting point place and base station information corresponding to this adjacent cell, determine the downlink propagation loss that this adjacent cell of the community at this MR reporting point place in current network is corresponding;

The downlink propagation loss corresponding according to this adjacent cell of the community at this MR reporting point place in current network and the link propagation loss difference between the current network determined and planning network, determine the downlink propagation loss that this adjacent cell of the community at this MR reporting point place when planning network is corresponding;

The base station information that this adjacent cell of the downlink propagation loss corresponding according to this adjacent cell of this MR reporting point community at place when planning network and the community at this MR reporting point place is corresponding, determines the received power that this adjacent cell of the community at this MR reporting point place when planning network is corresponding.

6. method as claimed in claim 5, it is characterized in that, determine the received power that described each MR reporting point is corresponding respectively when planning network, and after determining described each MR reporting point received power that each adjacent cell of the community at place is corresponding respectively when planning network, also comprise:

Determine described each MR reporting point Signal to Interference plus Noise Ratio SINR that the community at place is corresponding respectively when planning network; Wherein, determine to comprise the SINR that the community at MR reporting point place when planning network is corresponding:

The received power corresponding according to each adjacent cell of this MR reporting point community at place when planning network, determines the received signal strength indicator RSSI that this MR reporting point is corresponding;

According to this MR reporting point corresponding received power and RSSI corresponding to this MR reporting point when planning network, determine the SINR that the community at this MR reporting point place when planning network is corresponding.

7. method as claimed in claim 6, is characterized in that, after determining described each MR reporting point SINR that the community at place is corresponding respectively when planning network, also comprises:

Determine the desired value whether described each MR reporting point SINR that the community at place is corresponding respectively when planning network meets the network planning and require described SINR;

When determination result is no, adjust the second setup parameter in base station information corresponding to the community at described each MR reporting point place respectively.

8. method as claimed in claim 6, is characterized in that, after determining described each MR reporting point SINR that the community at place is corresponding respectively when planning network, also comprises:

According to described each MR reporting point SINR that the community at place is corresponding respectively when planning network, and the corresponding relation of SINR and data rate, determine the data rate of described each SINR correspondence respectively;

Determine the product of the user distribution rate of the community that data rate that each SINR is corresponding is corresponding with this SINR, wherein, the user distribution rate of the community that SINR is corresponding is determined according to the MR data report frequency of community corresponding to this SINR, and described user distribution rate is directly proportional to the described report frequency;

By the product addition of data rate corresponding for described each SINR and described user distribution rate, obtain the capacity of described planning network.

9. method as claimed in claim 8, is characterized in that, after obtaining the capacity of described planning network, also comprise:

Determine whether the capacity of described planning network meets the desired value of the network planning to described capacity requirement;

When determination result is no, adjust the 3rd setup parameter in base station information corresponding to the community at described each MR reporting point place respectively.

10. the method as described in claim 4,7 or 9, is characterized in that, determines to comprise the base station information that the community at described each MR reporting point difference place is corresponding:

Determine the base station information that the community at the described each MR reporting point difference place after adjusting parameter is corresponding.

11. 1 kinds of network simulation devices, is characterized in that, comprising:

12. devices as claimed in claim 11, is characterized in that, described downlink propagation loss determining unit, specifically for:

Determine the base station transmitting power that base station information corresponding to the community at this MR reporting point place comprises and antenna gain sum, and utilize the described base station transmitting power and antenna gain sum that obtain, deduct the feeder loss that received power corresponding to this MR reporting point and described base station information comprise, obtain the downlink propagation loss that the community at this MR reporting point place in current network is corresponding.

13. devices as claimed in claim 11, is characterized in that, described network simulation result determining unit, specifically for:

Determine the base station transmitting power that base station information corresponding to the community at this MR reporting point place comprises and antenna gain sum, and the feeder loss utilizing downlink propagation loss corresponding to community that is that obtain and that deduct this MR reporting point place when planning network and described base station information to comprise, obtain the received power that this MR reporting point is corresponding when planning network.

14. devices as claimed in claim 11, is characterized in that, described network simulation result determining unit, also for:

After the received power corresponding respectively when determining described each MR reporting point at planning network, determine the desired value whether received power that described each MR reporting point is corresponding respectively when planning network meets the network planning and require described received power, and when determination result is no, adjust the first setup parameter in base station information corresponding to the community at described each MR reporting point place respectively.

15. devices as claimed in claim 11, is characterized in that, described MR data determination unit, also for received power corresponding to the adjacent cell of the community determining each MR reporting point place and base station information corresponding to adjacent cell;

Described downlink propagation loss determining unit, also for received power corresponding to the adjacent cell of the community according to MR reporting point place and base station information corresponding to adjacent cell, determine the downlink propagation loss that the adjacent cell of the community at MR reporting point place in current network is corresponding, the downlink propagation loss corresponding according to the adjacent cell of the community at MR reporting point place in current network, and the link propagation loss difference between the current network determined and planning network, determine the downlink propagation loss that the adjacent cell of MR reporting point community at place when planning network is corresponding,

Network simulation result determining unit, also for the base station information that the adjacent cell of the community according to downlink propagation loss corresponding to the adjacent cell of MR reporting point community at place when planning network and MR reporting point place is corresponding, determine the received power that the adjacent cell of MR reporting point community at place when planning network is corresponding.

16. devices as claimed in claim 15, is characterized in that, described network simulation result determining unit, also for:

Determine the received power that described each MR reporting point is corresponding respectively when planning network, and after determining described each MR reporting point received power that each adjacent cell of the community at place is corresponding respectively when planning network, received power corresponding according to each adjacent cell of each MR reporting point community at place when planning network respectively, determine the received signal strength indicator RSSI that each MR reporting point is corresponding, and according to each MR reporting point corresponding received power and RSSI of answering when planning network, determine the SINR that the community at each MR reporting point place when planning network is corresponding.

17. devices as claimed in claim 16, is characterized in that, described network simulation result determining unit, also for:

Determine the desired value whether described each MR reporting point SINR that the community at place is corresponding respectively when planning network meets the network planning and require described SINR, and when determination result is no, adjust the second setup parameter in base station information corresponding to the community at described each MR reporting point place respectively.

18. devices as claimed in claim 16, is characterized in that, described network simulation result determining unit, also for:

After determining described each MR reporting point SINR that the community at place is corresponding respectively when planning network, according to described each MR reporting point SINR that the community at place is corresponding respectively when planning network, and the corresponding relation of SINR and data rate, determine the data rate that described each SINR is corresponding respectively; Determine the product of the user distribution rate of the community that data rate that each SINR is corresponding is corresponding with this SINR, wherein, the user distribution rate of the community that SINR is corresponding is determined according to the MR data report frequency of community corresponding to this SINR, and described user distribution rate is directly proportional to the described report frequency; By the product addition of data rate corresponding for described each SINR and described user distribution rate, obtain the capacity of described planning network.

19. devices as claimed in claim 18, is characterized in that, described network simulation result determining unit, also for:

After the capacity obtaining described planning network, determine whether the capacity of described planning network meets the desired value of the network planning to described capacity requirement, and when determination result is no, adjust the 3rd setup parameter in base station information corresponding to the community at described each MR reporting point place respectively.

20. devices as described in claim 14,17 or 19, is characterized in that, described base station information determining unit, specifically for:

Determine the base station information that the community at the described each MR reporting point difference place after described network simulation result determining unit adjustment parameter is corresponding.