WO2010066175A1 - Method and device for predicting user position distribution - Google Patents

Abstract

A method and device for predicting user position distribution are provided. The method includes that: measurement reports reported by a terminal within a target cell range in preset time are obtained (S101); according to a subsection threshold value of the received signal quality preset by the target cell, the number of the measurement reports of which received signal quality parameters of the target cell fall in each subsection interval of the target cell is counted (S102); according to the total number of the obtained measurement reports and the number of the measurement reports of which received signal quality parameters of the target cell fall in each subsection interval of the target cell, the distribution probability of the user in each subsection interval of the target cell is obtained (S103); according to the subsection threshold value of received signal quality preset by the target cell and the predicted distributed model of the received signal quality of the target cell, the area covered by the target cell is divided (S104); according to the distribution probability of the user in each subsection interval of the target cell, the user position distribution in divided area covered by the target cell is generated (S105).

Description

 Method and device for predicting user location distribution

Technical field

 The present invention relates to the field of communications technologies, and in particular, to a method and apparatus for predicting a user location distribution. Background technique

 Common network planning and other design tools, in order to assist design and planning, will establish a user model, which mainly includes the traffic volume of the voice service and the throughput of the data service when busy, and the geographical distribution of the users. An important feature of mobile networks is that the user's location is mobile. From the design point of view, changes in user location directly affect network coverage and capacity, so the simulation of user location will directly affect the credibility of network planning and design output solutions.

 In the prior art, when the user location distribution is generated, the location of the user distribution is randomly generated in the area around the base station according to the population density.

 In the process of implementing the present invention, the inventors have found that at least the following problems exist in the prior art solution: The user location distribution generated by the prior art solution cannot reflect the true distribution rule of the user under the actual network. Summary of the invention

 Embodiments of the present invention provide a method and apparatus for predicting a user's location distribution such that the generated user location distribution can reflect the true distribution of users under the actual network.

 The present invention provides a method for predicting a user location distribution, including:

 Obtaining a measurement report reported by the terminal within the target cell within a predetermined time;

Counting the target cell according to the received signal quality segmentation threshold preset by the target cell The number of measurement reports in which the received signal quality parameter falls within each segment of the target cell;

 Obtaining a distribution probability of the user in each segment of the target cell according to the total number of the obtained measurement reports and the number of measurement reports of the target cell's received signal quality parameters falling within each segment of the target cell;

 And dividing, according to the received signal quality segmentation threshold value preset by the target cell and the predicted target cell received signal quality distribution model, the area covered by the target cell;

 The user location distribution is generated in the area covered by the divided target cell according to the distribution probability of the user in each segmentation section of the target cell.

 The present invention also provides an apparatus for predicting a user location distribution, including:

 a measurement report obtaining module, configured to acquire a measurement report reported by the terminal in the target cell range within a predetermined time;

 a first measurement report analysis module, configured to count, according to a received signal quality segmentation threshold preset by the target cell, a number of measurement reports in which the received signal quality parameter of the target cell falls within each segment of the target cell;

 a first distribution probability generating module, configured to obtain, according to the total number of the obtained measurement reports, the number of measurement reports that the received signal quality parameter of the target cell falls within each segment of the target cell, and obtain the segments of the user in the target cell Distribution probability within the interval;

 a first coverage area division module, configured to divide, according to the received signal quality segmentation threshold value preset by the target cell and the predicted target cell received signal quality distribution model, the area covered by the target cell;

 And a first user location distribution generating module, configured to perform user location distribution generation in the area covered by the divided target cell according to a distribution probability of the user in each segmentation section of the target cell.

Compared with the prior art solution, the embodiment of the present invention utilizes the statistical data of the measurement report in the network in the process of predicting the location distribution of the user, so that the finally generated user location distribution can be reversed. Reflect the actual distribution of users under the actual network. DRAWINGS

 In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings to be used in the embodiments will be briefly described below. Obviously, the drawings in the following description are only some of the present invention. For the embodiments, those skilled in the art can obtain other drawings according to the drawings without any creative work.

 1 is a schematic flowchart of a method for predicting a user's location distribution according to an embodiment of the present invention; FIG. 2 is a schematic flowchart of still another embodiment of a method for predicting a user location distribution according to the present invention; Schematic diagram of the received signal quality distribution model;

 4 is a schematic diagram of a received signal quality distribution model of a target cell and its neighboring cells according to an embodiment of the present invention; and FIG. 5 is a schematic structural diagram of an apparatus for predicting a user location distribution according to an embodiment of the present invention. detailed description

 The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

 Embodiments of the present invention provide a method for predicting a user's location distribution, so that the finally generated user location distribution can more accurately reflect the true distribution law of users under the actual network. In order to make the technical solutions and advantages of the present invention more comprehensible, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

 FIG. 1 is a schematic flowchart of an embodiment of a method for predicting a user location distribution according to the present invention. As shown in FIG. 1, the method includes the following steps:

S101. Acquire a measurement report that is reported by a terminal in a target cell within a predetermined time. The obtaining the foregoing measurement report may be that the target cell is collected from the current network within a predetermined time. The measurement report reported by the terminal;

 Or, the measurement report reported by the terminal in the target cell range during the predetermined time is filtered out from the measurement report storage entity according to the predetermined time parameter and the target cell identifier.

 The above measurement report may record the received signal quality parameter of the target cell and/or the received signal quality parameter of the neighboring cell.

 S102. Count, according to the received signal quality segmentation threshold value preset by the target cell, the number of measurement reports that the received signal quality parameter of the target cell falls within each segment of the target cell; the measurement report that is statistically collected in step S102 may include The received signal quality parameter of the area may also not include the received signal quality parameter of the neighboring area;

 S103. Obtain, according to the total number of the obtained measurement reports and the number of measurement reports in the segmentation interval of the target cell, the user receives a distribution rate of 4 in each segment of the target cell. ;

 S104. Divide, according to the received signal quality segmentation threshold value preset by the target cell and the predicted target cell received signal quality distribution model, the area covered by the target cell;

 S105. Perform user location distribution generation in the area covered by the divided target cell according to a distribution probability of the user in each segment segment of the target cell. The area covered by the target cell generated by the user location distribution in step S105 may include the area where the target cell and the neighboring area overlap, or may not include the area where the target cell and the neighboring area overlap.

 Among them, specifically include:

 Obtaining the actual number of simultaneous service users of the target cell or the predicted number of concurrent service users after the target cell is expanded;

 Depending on the number of users and the distribution probability of the user in each segment of the target cell, the location distribution is randomly generated in the area covered by the target cell corresponding to each segmentation interval, or according to certain constraints. Perform location distribution generation.

 The feature information constraint can also be introduced when the user location distribution is generated.

In the process of predicting the location distribution of the user, the embodiment of the present invention utilizes the measurement in the network. The statistical data enables the resulting user location distribution to reflect the true distribution of users under the actual network.

 The embodiment shown in FIG. 1 does not consider the influence of the neighboring area on the location distribution of the user. FIG. 2 is a schematic flowchart of still another embodiment of the method for predicting the location distribution of the user according to the embodiment of the present invention. A method for predicting a user location distribution in the embodiment shown in FIG. 2, adding a user location distribution prediction step for a target cell and a neighboring cell coverage overlap region, where step S102 only counts the received signal quality parameter including the target cell, and The number of measurement reports of the received signal quality parameter that does not include the area is the same as the embodiment shown in FIG. 1. The step of predicting the user location distribution of the target cell and the neighboring area overlapping area is as follows:

 S201. Acquire a measurement report that is reported by the terminal in the target cell range within a predetermined time period. The obtaining the foregoing measurement report may be: collecting the measurement report reported by the terminal in the target cell range from the current network within a predetermined time;

 Or, the measurement report reported by the terminal in the target cell range during the predetermined time is filtered out from the measurement report storage entity according to the predetermined time parameter and the target cell identifier.

 S202: According to the preset received signal quality segmentation threshold value of the neighboring cell of the target cell, the received signal quality parameter of the target cell is included in the measurement report in each segment of the target cell, and the neighboring area is received. The number of measurement reports in which the signal quality parameter falls within each segment of the neighboring area;

 5203. Obtain, according to the total number of the obtained measurement reports and the number of measurement reports that fall within each segment of the neighboring cell, the probability of distribution of the user in each segment of the neighboring cell in each segment of the target cell;

 S204: The device according to the received signal quality segmentation threshold value of the neighboring cell of the target cell and the predicted neighboring cell received signal quality distribution model of the target cell are used to divide the coverage area of the target cell and the neighboring cell coverage;

 5205. Perform, according to a distribution probability of the user in each segment segment of the neighboring cell in each segment segment of the target cell, perform user location distribution generation in the divided coverage overlapping region.

In the embodiment shown in FIG. 2, in the step S202, the statistical measurement report does not include the record neighbor. The measurement report of the received signal quality parameter of the area; in step S205, the area covered by the target cell does not include the area where the target cell overlaps with the coverage of the neighboring area.

 In the process of predicting the location distribution of the user, the embodiment of the present invention utilizes the statistical data of the measurement 4 in the network, so that the finally generated user location distribution can reflect the true distribution rule of the user under the actual network, and consider the neighboring zone pair. The influence of the user's location distribution makes the prediction result more able to reflect the true distribution law of users under the actual network.

 3 is a schematic diagram of a received signal quality distribution model of a target cell according to an embodiment of the present invention, and FIG. 4 is a schematic diagram of a received signal quality distribution model of a target cell and its neighboring cells according to an embodiment of the present invention, which is globally moved in the embodiment shown in FIG. 3 and FIG. The Global System for Mobile Communications (GSM) network is taken as an example to describe in detail the method for predicting user location distribution according to the present invention.

 As shown in FIG. 3, this embodiment includes the following steps:

 5301. Obtain a measurement report;

 When obtaining the measurement report, it is necessary to set the cell range of the collected data, which may be a certain cell or a combination of certain cells. Set the collection time, for example to reflect the busy hour user distribution model, which can be set to its busy time period.

 Certainly, the obtaining the foregoing measurement report may be that the measurement report reported by the terminal in the target cell range is collected from the live network within a predetermined time;

 Or, the measurement report reported by the terminal in the target cell range during the predetermined time is filtered out from the measurement report storage entity according to the predetermined time parameter and the target cell identifier.

5302. Analyze the acquired measurement report according to the set measurement index and the segmentation threshold. To analyze the measurement report, firstly, the measurement index and the segmentation threshold are set. The measurement index here may include the received signal quality parameter, specifically to the GSM. The network may select a Received Signal Strength Indicator (RSI) as the received signal quality parameter, and correspondingly, set the number of segments of the RSSI and the specific segmentation threshold. The number of segments can be set according to the actual situation. For example, in order to make the distribution more gradual and detailed, more segments can be set, but It is necessary to handle the load and time of the equipment. The above measurement report may include a neighboring area

The RSSI may also not contain the RSSI of the neighbor.

 After the measurement index and the segmentation threshold are set, the acquired measurement data is initially processed in units of cells, the invalid data is screened out, the RSSI recorded in the measurement report is compared with the set threshold, and the statistical RSSI falls. The number of measurement reports in each segmentation interval, and then the distribution probability of the user in each segmentation interval of the target cell. For example, it is assumed that there are 4 segments, and the specific segmentation threshold value (in dBm) is as follows: 40,-80,-90,-100,-120, the number of measurement reports that get into each segment are:

M1, M2 M4, and the total number of measurements, M = (M1 + M4), i = l 4, the probability distribution of the user in each segment is: P (segment i) = Mi/M.

 S303. Divide an area covered by the target cell according to the set measurement indicator, the segmentation threshold, and the predicted target cell measurement index distribution model;

 For the GSM system, using the prediction calculation based on the geographic information and the propagation model, the target cell received signal quality distribution model as shown in FIG. 3 is obtained, and the area covered by the target cell is divided into several regions according to the received signal quality segmentation threshold. As shown in Figure 3, the (-90, 80) region corresponds to the received signal quality segmentation threshold (-90dBm, -80dBm), that is, the measured RSSI value of the measurement report reported by the user in this region is located at the segmentation threshold (-90dBm). , -80dBm ).

 S304. Perform user location distribution generation in the area covered by the divided target cells according to a distribution probability of the user in each segment segment of the target cell.

 First, the number of actual simultaneous service users of the target cell is obtained. Of course, if the system is predicted to be expanded, the number of concurrent service users after the target cell is expanded may be obtained; the number of users obtained according to the above and the target of the user are The distribution probability in each segment of the cell is randomly generated in the region covered by the target cell corresponding to each segmentation interval, or the location distribution is generated according to certain constraints.

 Step S304: The area covered by the target cell generated by the user location distribution may include an area where the target cell and the neighboring area overlap, or may not include the area where the target cell and the neighboring area overlap.

For example, the number of measurement reports that fall into the segmentation range of the target cell is shown in Table 1: Table 1 Number of measurement reports of RSSI falling into each segment of the target cell

由表 1可知用户位于如图 3所示（ -90dBm, -80dBm )对应覆盖区域的概 率为 3/8 ,若获得的目标小区同时服务用户数为 1000个，那么位于（-90dBm, -80dBm )对应覆盖区域的用户数为 375个， 随机选择（-90dBm, -80dBm ) 对应覆盖区域内的坐标值作为这 375个用户的位置信息。 为了更准确的反映 实际情况， 也可以按照一定约束条件进行位置分布生成， 例如根据已有的地 物信息约束条件 （地形、 地貌、 人口密度） ， 为用户生成位置信息。 其它覆 盖区域的用户位置生成方法与上述方法类似， 这里不再赘述。

It can be seen from Table 1 that the probability that the user is located in the corresponding coverage area (-90dBm, -80dBm) as shown in Figure 3 is 3/8. If the number of simultaneous service users in the target cell is 1000, then it is located at (-90dBm, -80dBm). The number of users corresponding to the coverage area is 375, and random selection (-90dBm, -80dBm) corresponds to the coordinate value in the coverage area as the position information of the 375 users. In order to reflect the actual situation more accurately, the position distribution can also be generated according to certain constraints, for example, according to the existing feature information constraints (terrain, landform, population density), to generate location information for the user. The user location generation method of other coverage areas is similar to the above method, and details are not described herein again.

 In the process of predicting the location distribution of the user, the embodiment shown in FIG. 2 utilizes the statistical data of the measurement in the network, so that the finally generated user location distribution can reflect the true distribution law of the user under the actual network.

 The embodiment shown in FIG. 3 does not consider the influence of the neighboring cell on the user's location distribution. FIG. 4 is a schematic diagram of the received signal quality distribution model of the target cell and its neighboring cells according to the embodiment of the present invention, which will be shown in the embodiment shown in FIG. Based on the embodiment shown in FIG. 3, the user location distribution prediction for the overlapping area of the target cell and the neighboring area is increased.

 As shown in FIG. 4, this embodiment includes the following steps:

 S401. Obtain a measurement report.

When obtaining the measurement report, it is necessary to set the cell range of the collected data, which may be a certain cell or a combination of certain cells. Set the collection time, for example, to reflect the busy time user distribution model, which can be set to its busy time period. Certainly, obtaining the foregoing measurement report may be that the measurement report reported by the terminal within the target cell range is collected from the live network within a predetermined time;

 Or, the measurement report reported by the terminal in the target cell range during the predetermined time is filtered out from the measurement report storage entity according to the predetermined time parameter and the target cell identifier.

 S402. Analyze the obtained measurement report according to the set measurement index and the segmentation threshold. To analyze the measurement report, firstly, the measurement index and the segmentation threshold are set. The measurement index here may include the received signal quality parameter, specifically to the GSM. The network may select a Received Signal Strength Indicator (RSI) as the received signal quality parameter, and correspondingly, set the number of segments of the RSSI of the target cell and the specific segmentation threshold. At the same time, the corresponding segmentation threshold is set for the neighboring cell of the target cell (as shown in Table 3). Of course, the number of segments in the neighboring cell and the number of segments in the target cell may be the same or different. The number of segments can be set according to the actual situation. For example, in order to make the distribution more gradual and detailed, more segments can be set, but the required processing load and time are more.

 After the measurement index and the segmentation threshold are set, the acquired measurement data is initially processed in units of cells, the invalid data is screened out, the RSSI recorded in the measurement report is compared with the set threshold, and the statistical RSSI falls. The number of measurements in each segment of the target cell and the number of measurements in the segment, and the RSSI of the target cell falls into the measurement report in each segment of the target cell, and the RSSI of the neighboring cell falls into the measurement report in each segment of the neighboring cell. The number, in turn, obtains the distribution probability of the user in each segment of the target cell, and uses an example below. In the example, the target cell has a neighboring cell. The case of having multiple neighboring cells is similar to the following process. Let me repeat:

 Assume that a total of 8000 valid measurement reports are obtained. The number of measurement reports that the RSSI based on the segmentation threshold statistics falls into each segment of the target cell is shown in Table 2. The measurement report in Table 2 contains only the RSSI of the target cell. .

 Table 2 Number of measurement reports of RSSI falling into each segment of the target cell

(Does not include the RSSI measurement report of the neighboring area) Target cell segmentation segmentation report number segmentation range (dBm) segment 1 750

 Section 2 450

 Segment 3 2200 ( -90, -80 ) Segment 4 100 ( -80, -40 ) Table 3 Segmentation settings for the target cell neighborhood

即包含目标小区的 RSSI、 又包含邻区的 RSSI的测量报 o告落入各邻区 段区间的数量如表 4所示：

That is, the number of measurement reports that include the RSSI of the target cell and the RSSI of the neighboring cell, which falls within the interval of each adjacent segment, is as shown in Table 4:

 o Table 4 RSSI falls into the measurement report in each segment of the target cell, RSSI of the neighboring area

 Number of measurement reports falling within each segment of the neighborhood

S403. The area covered by the target cell is divided according to the set measurement indicator, the segmentation threshold, and the predicted target cell measurement index distribution model, and the preset reception according to the neighboring cell of the target cell. The signal quality segmentation threshold value and the predicted neighboring cell received signal quality distribution model of the target cell are divided into regions in which the target cell and the neighboring cell cover overlap;

 For the GSM system, using the prediction calculation based on the geographic information and the propagation model, the target cell and its neighboring region received signal quality distribution model as shown in FIG. 4 is obtained, and the target cell is covered according to the target cell received signal quality segmentation threshold. The area is divided into several areas, as shown in the figure (-90, 80), the received signal quality segmentation threshold (-90dBm, -80dBm), that is, the measured RSSI value of the measurement report reported by the user in this area is located at the segmentation threshold. (-90dBm, -80dBm); The overlap of the area and the neighboring area is further divided according to the received signal quality segmentation threshold of the neighboring area.

 S404: Perform, according to a distribution probability of the user in each segment segment of the target cell, a user location distribution in an area covered by the divided target cell, where the area covered by the divided target cell does not include an area overlapping with the coverage of the neighboring cell. And generating, according to the distribution probability of the user in each segment segment of the neighboring cell in each segment segment of the target cell, generating the user location distribution in the divided overlapping coverage region.

 It can be seen from Table 2 that the probability that the user is located in the coverage area A (excluding the area overlapping with the coverage of the neighboring area) as shown in FIG. 4 (-90 dBm, -80 dBm) is 11/40, and the number of simultaneous serving users of the target cell obtained is obtained. The number of users who are located in the A area is 275. As can be seen from Table 4, the user is located in the target cell segmentation interval (-90dBm, -80dBm) and its adjacent segmentation interval (-lOOdBm, -90dBm) as shown in Figure 4. The probability of the corresponding overlapping area B is 400/8000=1/20. If the number of simultaneous serving users of the target cell is 1000, the number of users located in the B area is 50. The coordinate values in the A area are randomly selected as the position information of 275 users, and the coordinate values in the B area are randomly selected as the position information of 50 users. In order to reflect the actual situation more accurately, position distribution can also be generated according to certain constraints. For example, according to the existing feature information constraints (land shape, landform, population density), position information is generated for the user. The user location generation method of other coverage areas is similar to the above method, and will not be described here.

In the process of predicting the location distribution of the user, the embodiment shown in FIG. 4 utilizes the statistical data of the measurement in the network, so that the finally generated user location distribution can reflect the trueness of the user under the actual network. The real distribution law, and considering the influence of the neighboring area on the user's location distribution, makes the prediction result more able to reflect the true distribution law of users under the actual network.

 Of course, the method for predicting user location distribution of the present invention can also be applied to other communication systems, such as Code Division Multiple Access (CDMA), Wideband CDMA (WCDMA), and time division. Communication systems such as Time Division-Synchronous CDMA (TD-SCDMA), Worldwide Interoperability for Microwave Access (Wimax), CDMA2000, Long Term Evolution (LTE), etc. In the specific implementation process, the specific parameters used by the received signal quality parameters of other system communication systems and the received signal quality distribution model of the cell are different from the GSM system in the embodiments shown in FIG. 3 and FIG. 4, and may be based on the characteristics of each system. To replace the above parameters, as in the WCDMA system, the RSSI can be replaced by Received Signal Code Power (RSCP).

 FIG. 5 is a schematic structural diagram of an apparatus for predicting a user location distribution according to an embodiment of the present invention. As shown in FIG. 5, the method includes:

 The measurement report obtaining module 101 is configured to acquire a measurement report of the terminal within the target cell range within a predetermined time;

 The first measurement report analysis module 102 is configured to calculate, according to the received signal quality segmentation threshold value preset by the target cell, the number of measurement signals that the received signal quality parameter of the target cell falls within each segment of the target cell. ;

 The first distribution probability generation module 103 is configured to obtain, according to the total number of the obtained measurement reports and the number of measurement reports of the target cell's received signal quality parameters falling within each segment of the target cell, and obtain the user's points in the target cell. Distribution probability within the segment interval;

 The first coverage area dividing module 104 is configured to divide, according to the received signal quality segmentation threshold value of the target cell and the predicted target cell received signal quality distribution model, the area covered by the target cell;

a first user location distribution generating module 105, configured to use, according to the user, each of the target cells The distribution probability in the segmentation interval is generated in the region covered by the divided target cell.

 The first user location distribution generating module 105 may further include:

 a user number obtaining module, configured to acquire the actual number of simultaneous service users of the target cell or the number of predicted simultaneous service users after the target cell is expanded;

 a location distribution module, configured to perform random location distribution generation in an area covered by the target cell corresponding to each segmentation interval according to the number of users and the distribution probability of the user in each segmentation section of the target cell , or generate location distribution according to certain constraints.

 The device of the embodiment shown in FIG. 5 may further include: a second measurement report analysis module 106, configured to segment the gate according to a preset received signal quality of the neighboring cell of the target cell, if the impact of the neighboring cell on the user distribution is considered. The limit value is calculated, and the received signal quality parameter of the target cell falls in the measurement report in each segment of the target cell, and the received signal quality parameter of the neighboring cell falls into the measurement number in each segment of the neighboring cell;

 The second distribution probability generating module 107 is configured to obtain, according to the total number of the obtained measurement reports and the number of measurement reports falling within each segmentation interval of the neighboring cell, the neighboring zones in the segmentation intervals of the target cell. Distribution probability within the segment interval;

 The second coverage area dividing module 108 is configured to overlap the coverage of the target cell and the neighboring cell according to the preset received signal quality segmentation threshold value of the target cell and the predicted neighboring cell received signal quality distribution model of the target cell. Division of the area;

 The second user location distribution generating module 109 is configured to perform user location distribution generation in the divided overlapping coverage area according to the distribution probability of the user in each segment segment of the neighboring cell in each segment segment of the target cell. .

 The measurement report that is collected by the first measurement report analysis module 102 does not include a measurement report that records the received signal quality parameter of the neighboring cell;

The area covered by the target cell generated by the first user location distribution generating module 105 for the user location distribution does not include the area where the target cell overlaps with the neighboring cell coverage. The second user location distribution generating module 109 may further include:

 a second user number obtaining module, configured to acquire the actual number of simultaneous service users of the target cell or the number of predicted simultaneous service users after the target cell is expanded; and of course, the first user may be shared with the first user location distribution generating module. Number acquisition module.

 a second location distribution module, configured to respectively allocate, according to the number of users, a distribution probability of the user in each segment segment of the neighboring cell in each segmentation interval of the target cell, respectively Position distribution is randomly generated in the corresponding overlapped area, or position distribution is generated according to certain constraints.

 When considering the impact of the neighboring cell on the user distribution generation, the first measurement report analysis module 102 only counts the number of measurement reports including the received signal quality parameter of the target cell but not the received signal quality parameter of the partial region; The location distribution generation module 105 performs user location distribution generation in the area covered by the divided target cell according to the distribution probability of the user in each segmentation section of the target cell, where the area covered by the divided target cell does not include coverage with the neighboring area. Overlapping areas.

 The apparatus of the embodiment shown in FIG. 5 may further include:

 The feature information storage module is configured to provide a property information constraint condition when the user location distribution generation module (the first user location distribution generation module or the second user location distribution generation module) generates the user location distribution.

 The device of the embodiment shown in FIG. 5 may be located at a base station or may be located at an Operation and Maintenance Center (OMC).

 The device of the embodiment of the present invention utilizes the statistical data of the measurement report in the network, so that the finally generated user location distribution can reflect the true distribution rule of the user under the actual network.

 It should be noted that, in the foregoing device embodiment, each module included is only divided according to functional logic, but is not limited to the above division, as long as the corresponding function can be implemented; in addition, the specific name of each functional module It is also for convenience of distinguishing from each other and is not intended to limit the scope of protection of the present invention.

In addition, those skilled in the art can understand that, in the method provided by the embodiments of the present invention, Part or part of the steps can be done by the hardware associated with the program instructions. For example, it can be done by computer running. The program can be stored on a readable storage medium such as a random access memory, a magnetic disk, an optical disk, or the like.

 The above disclosure is only a few specific embodiments of the present invention, but the present invention is not limited thereto, and any changes that can be considered by those skilled in the art should fall within the protection scope of the present invention.

Claims

Rights request  A method for predicting a user location distribution, comprising:  Obtaining a measurement report reported by the terminal within the target cell within a predetermined time;  And according to the received signal quality segmentation threshold value preset by the target cell, the number of measurement reports in which the received signal quality parameter of the target cell falls within each segment of the target cell is counted;  Obtaining a distribution probability of the user in each segment of the target cell according to the total number of the obtained measurement reports and the number of measurement reports of the target cell's received signal quality parameters falling within each segment of the target cell;  And dividing, according to the received signal quality segmentation threshold value preset by the target cell and the predicted target cell received signal quality distribution model, the area covered by the target cell;  The user location distribution is generated in the area covered by the divided target cell according to the distribution probability of the user in each segmentation section of the target cell.  2. The method of claim 1 wherein:  The step of counting, according to the received signal quality segmentation threshold value preset by the target cell, the step that the received signal quality parameter of the target cell falls within the measurement report number in each segment of the target cell, is not included in the statistical measurement report. Including a measurement report recording the received signal quality parameters of the neighboring area;  In the step of performing user location distribution generation in the area covered by the divided target cell according to the distribution probability of the user in each segment segment of the target cell, the area covered by the target cell does not include the target cell and The adjacent area covers overlapping areas;  Also includes:  And determining, according to the preset received signal quality segmentation threshold value of the neighboring cell of the target cell, that the received signal quality parameter of the target cell falls into a measurement report in each segment of the target cell, and the received signal quality of the neighboring cell The number of measurement reports whose parameters fall within each segment of the neighboring area; Obtaining, according to the total number of the obtained measurement reports and the number of measurement reports falling within each segment of the neighboring cell, the distribution probability of the user in each segment segment of the neighboring cell in each segment segment of the target cell; Pre-set received signal quality segmentation threshold and prediction target in the neighboring cell of the target cell The neighboring area received signal quality distribution model of the cell divides the area where the target cell and the neighboring area overlap, and performs user location distribution generation in the divided overlapping area.  The method according to claim 1 or 2, wherein the obtaining a measurement report reported by the terminal within the target cell within a predetermined time is specifically:  Collecting, from the current network, the measurement report reported by the terminal in the target cell range in a predetermined time; or, screening, according to the predetermined time parameter and the target cell identifier, the terminal in the target cell range from the measurement report storage entity The measurement report reported during the scheduled time.  The method according to claim 1, wherein the generating according to the user location distribution of the user includes:  Obtaining the actual number of simultaneous service users of the target cell or the predicted number of concurrent service users after the target cell is expanded;  Depending on the number of users and the distribution probability of the user in each segment of the target cell, the location distribution is randomly generated in the area covered by the target cell corresponding to each segmentation interval, or according to certain constraints. Perform location distribution generation.  5. A device for predicting a user location distribution, comprising:  a measurement report obtaining module, configured to acquire a measurement report reported by the terminal within the target cell within a predetermined time;  a first measurement report analysis module, configured to count, according to a received signal quality segmentation threshold preset by the target cell, a number of measurement reports in which the received signal quality parameter of the target cell falls within each segment of the target cell; a first distribution probability generating module, configured to obtain, according to the total number of the obtained measurement reports, the number of measurement reports that the received signal quality parameter of the target cell falls within each segment of the target cell, and obtain the segments of the user in the target cell Distribution probability within the interval; a first coverage area division module, configured to divide, according to the received signal quality segmentation threshold value preset by the target cell and the predicted target cell received signal quality distribution model, the area covered by the target cell;  And a first user location distribution generating module, configured to perform user location distribution generation in the area covered by the divided target cell according to a distribution probability of the user in each segmentation section of the target cell.  6. The device of claim 5, further comprising:  a second measurement report analysis module, configured to calculate, according to a preset received signal quality segmentation threshold value of the neighboring cell of the target cell, a measurement that the received signal quality parameter of the target cell falls within each segment of the target cell In the report, the received signal quality parameter of the neighboring area falls within the number of measurement reports in each segment of the neighboring area;  a second distribution probability generating module, configured to obtain, according to the total number of the obtained measurement reports and the number of measurement reports falling within each segmentation interval of the neighboring cell, the segments of the neighboring cells in the segmentation sections of the target cell Distribution probability within the interval;  a second coverage area dividing module, configured to overlap the coverage of the target cell and the neighboring cell according to the preset received signal quality segmentation threshold of the target cell and the predicted neighboring cell received signal quality distribution model of the target cell Division of areas;  a second user location distribution generating module, configured to generate a user location distribution in the divided overlapping coverage area according to a distribution probability of the user in each segment segment of the neighboring cell in each segment segment of the target cell;  The measurement report that is collected by the first measurement report analysis module does not include a measurement report that records the received signal quality parameter of the neighboring cell;  The area covered by the target cell generated by the first user location distribution generating module for the user location distribution does not include the area where the target cell overlaps with the neighboring cell coverage. The device according to claim 5, wherein the first user location distribution generating module comprises: a user number obtaining module, configured to acquire the actual number of simultaneous service users of the target cell or the number of predicted simultaneous service users after the target cell is expanded;  a location distribution module, configured to randomly generate a location distribution in an area covered by the target cell corresponding to each segmentation interval according to the number of users and a distribution probability of the user in each segmentation section of the target cell , or generate location distribution according to certain constraints.  8. The apparatus according to claim 6, wherein the second user location distribution generating module comprises:  a second user number obtaining module, configured to acquire an actual number of simultaneous service users of the target cell or a predicted simultaneous service user number after the target cell is expanded;  a second location distribution module, configured to respectively allocate, according to the number of users, a distribution probability of the user in each segment segment of the neighboring cell in each segmentation interval of the target cell, respectively Position distribution is randomly generated in the corresponding overlapped area, or position distribution is generated according to certain constraints.  The device according to any one of claims 6 to 8, wherein the device further comprises: a feature information storage module, configured to: when the user location distribution generation module generates a user location distribution, provide a place Object information constraints.  10. Apparatus according to claim 5 wherein said apparatus is located at a base station or at an operation and maintenance center.