Network coverage evaluation method and apparatus

Abstract

The application provides a network coverage evaluation method and device, relates to the field of communication, and is used for evaluating network coverage capability and service bearing capability of a specific frequency point. The method comprises the following steps: determining an effective grid; wherein the effective grid is a grid in which the number of sampling points of the frequency point to be evaluated in the region to be evaluated is greater than or equal to a number threshold; the sampling data reported by the sampling points of the frequency point to be evaluated comprises a signal quality index of the frequency point to be evaluated; according to a sampling data set of a target grid, the capability proportion of each inter-frequency frequency point in the target grid is evaluated; wherein the target grid is any one of the effective grids; the capability proportion is the ratio of the number of sampling points of the inter-frequency frequency point meeting the service bearing requirement in the target grid to the number of sampling points of the frequency point to be evaluated; the sampling data reported by the sampling points of the inter-frequency frequency point comprises a signal quality index of the inter-frequency frequency point; and according to the capability proportion of each inter-frequency frequency point, the capability proportion of the frequency point to be evaluated in the target grid is evaluated.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of communication, and in particular to a network coverage evaluation method and device. BACKGROUND

[0002] With the development of wireless technology, the emergence of new communication network standards makes the available spectrum resources more scarce. Therefore, the frequencies occupied by the network standard with lower spectrum efficiency can be farmed for the network standard with higher spectrum efficiency. Therefore, it is necessary to evaluate the actual network coverage effect of the frequency point of the old communication network standard and the carrying capacity of the key service of the frequency point, accurately find the area where the network coverage capability and service carrying capacity are greatly affected after the frequency point is farmed or the frequency is farmed, so as to compensate for the coverage holes or deficiencies caused by the frequency farming or frequency farming through service diversion, coverage optimization and construction of blind area, etc.

[0003] Due to the network deployment of multiple standards and multiple frequency points and the guidance of network strategy, the network presents the coverage effect after the superposition of each network. Therefore, the network coverage capability and service carrying capacity of the frequency point to be evaluated cannot be directly judged by evaluating the frequency point to be farmed through the same frequency measurement. When the number of frequency points to be measured exceeds the number of frequency points that can be supported by the base station or the terminal, the information of all frequency points cannot be obtained in one measurement, so that the coverage capability of the frequency point to be evaluated cannot be accurately obtained. Therefore, the method for evaluating the coverage capability of the wireless mobile communication network in the prior art has low accuracy and is limited by network configuration and terminal capability. SUMMARY

[0004] The present application provides a network coverage evaluation method and device, which can evaluate the network coverage capability and service carrying capacity of a specific frequency point of a specific standard under the mixed networking of multiple frequency points and multiple standards.

[0005] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0006] In a first aspect, the present application provides a network coverage evaluation method, which can include: determining effective grids; wherein the effective grid is a grid in which the number of sampling points of a to-be-evaluated frequency point in a to-be-evaluated area is greater than or equal to a number threshold; the sampling point of the to-be-evaluated frequency point is a sampling point including a signal quality index of the to-be-evaluated frequency point in reported sampling data; evaluating the capability proportion of each inter-frequency frequency point in a target grid according to a sampling data set of the target grid; wherein the target grid is any one of the effective grids; the capability proportion is the ratio of the number of sampling points of an inter-frequency frequency point meeting a service carrying requirement to the number of sampling points of the to-be-evaluated frequency point in the target grid, and the sampling point of the inter-frequency frequency point is a sampling point including a signal quality index of the inter-frequency frequency point in reported sampling data; and evaluating the capability proportion of the to-be-evaluated frequency point in the target grid according to the capability proportion of each inter-frequency frequency point.

[0007] The network coverage evaluation method provided by the present application determines effective grids according to the number of sampling points of a to-be-evaluated frequency point, evaluates the capability proportion of each inter-frequency frequency point in the effective grids according to the ratio of the number of sampling points of an inter-frequency frequency point meeting a service carrying requirement to the number of sampling points of the to-be-evaluated frequency point, and then evaluates the capability proportion of the to-be-evaluated frequency point according to the capability proportion of each inter-frequency frequency point. Whether a sampling point is a sampling point of a frequency point is determined according to whether the signal quality index of the frequency point is included in the reported sampling data. Compared with the prior art, the method for evaluating the coverage capability of a mobile communication network has lower accuracy and is limited by network configuration and terminal capability. The network coverage evaluation method provided by the present application can accurately evaluate the actual coverage capability of a specific frequency point network based on sampling data under mixed networking of multiple frequency points and multiple communication systems, can be accurate to the size of a grid, and can effectively reduce the complexity of data processing and ensure the accuracy of the evaluation result by inversely deducing the service carrying capability of a to-be-evaluated frequency point in an old communication system using the service carrying capability of an inter-frequency frequency point.

[0008] In some embodiments, the target grid is the mth effective grid, m is a positive integer, m≤M, M is the number of effective grids, M is a positive integer, the to-be-evaluated area is deployed with K+1 frequency points, and the K+1 frequency points include the to-be-evaluated frequency point and K inter-frequency frequency points. The capability proportion of the to-be-evaluated frequency point in the target grid and the capability proportion of each inter-frequency frequency point satisfy: s m =1-MAX{P m,k}. Wherein s m is the capability proportion of the to-be-evaluated frequency point in the target grid, P m,kis the capability proportion of the kth different frequency point in the target grid, k is a positive integer, k≤K. In this way, the capability proportion of the to-be-evaluated frequency point can be inversely deduced through the capability proportions of different frequency points in the target grid. Since the target grid is any one of the M effective grids, the capability proportions of the to-be-evaluated frequency point in the M effective grids can be obtained by repeating the evaluation steps for the M effective grids, thereby realizing overall analysis and evaluation of the network coverage capability and service carrying capability of the to-be-evaluated region.

[0009] Optionally, the to-be-evaluated region is divided into N grids, N is a positive integer, N≥M. Before the effective grid is determined, the method further includes: acquiring a sample data set corresponding to an nth grid. Wherein, n is a positive integer, n≤N, the sample data set includes K groups of sample data, one sample data in the kth group of sample data includes: a signal quality index of the to-be-evaluated frequency point and a signal quality index of the kth different frequency point. In this way, the different frequency measurement for a single frequency point is a function supported by most networks and terminals, so the network coverage evaluation method provided by the embodiment of the application is not limited by network configuration and terminal capability.

[0010] Further, the method further includes one or more of the following: obtaining a first evaluation result S1 for representing the signal coverage quality of the to-be-evaluated region according to the capability proportion of the to-be-evaluated frequency point in the effective grid: obtaining a second evaluation result S2 for representing the signal coverage quality of the to-be-evaluated region according to the capability proportion of the to-be-evaluated frequency point in the effective grid: obtaining a third evaluation result S3 for representing the signal coverage quality of the to-be-evaluated region according to the capability proportion of the to-be-evaluated frequency point in the effective grid: Wherein, X m is the number of sample points of the to-be-evaluated frequency point in the mth effective grid; A is the sum of the X m in all effective grids; Y m is the maximum value of the number of sample points of the different frequency point meeting the service carrying requirement in the mth effective grid; B is the sum of the Y m in all effective grids. In this way, the influence of the overall to-be-evaluated region is evaluated through the weighted average of each effective grid in the to-be-evaluated region in the above three optional ways. Based on the evaluation result, the coverage hole points caused by network reseeding or network cleanout can be found in time and accurately, and then the users and services in the region are guided and distributed by means of construction of blind filling and coverage optimization, so as to ensure good perception of users and services and improve network operation efficiency.

[0011] Secondly, this application provides a network coverage assessment device, which includes a determination module and an assessment module. The determination module is used to determine valid grids; wherein the valid grid is a grid within the area to be assessed where the number of sampling points for the frequency to be assessed is greater than or equal to a number threshold; the sampling points for the frequency to be assessed are sampling points in the reported sampling data that include the signal quality index of the frequency to be assessed; the assessment module is used to assess the capability proportion of each different frequency point within the target grid based on the sampling data set of the target grid; wherein the target grid is any one of the valid grids; the capability proportion is the ratio of the number of sampling points for different frequency points that meet the service carrying requirements within the target grid to the number of sampling points for the frequency to be assessed, and the sampling points for the different frequency points are sampling points in the reported sampling data that include the signal quality index of the different frequency points; the assessment module is further used to assess the capability proportion of the frequency to be assessed within the target grid based on the capability proportion of each different frequency point.

[0012] In some embodiments, the target grid is the m-th effective grid, where m is a positive integer, m≤M, and M is the number of effective grids, also a positive integer. The area to be evaluated is deployed with K+1 frequency points, including the frequency point to be evaluated and K other frequency points. The capability percentage of the frequency point to be evaluated and the capability percentage of each other frequency point within the target grid satisfy: s m =1-MAX{P m,k}. Among them, s m P represents the capability percentage of the frequency points to be evaluated within the target grid. m,k The capability percentage of the k-th different frequency point within the target grid, where k is a positive integer and k≤K.

[0013] Optionally, the area to be evaluated is divided into N grids, where N is a positive integer and N≥M. The device further includes an acquisition module for acquiring the sampling data set corresponding to the nth grid. Here, n is a positive integer and n≤N, and the sampling data set includes K sets of sampling data. One sample data point in the kth set includes: the signal quality index of the frequency point to be evaluated and the signal quality index of the kth different frequency point.

[0014] Furthermore, the evaluation module is also used to: obtain a first evaluation result S1 representing the signal coverage quality of the area to be evaluated based on the capability proportion of the frequency points to be evaluated within the effective grid. Based on the capability percentage of the frequency points to be evaluated within the effective grid, a second evaluation result S2 is obtained to represent the signal coverage quality of the area to be evaluated: Based on the capability proportion of the frequency points to be evaluated within the effective grid, a third evaluation result S3 is obtained to represent the signal coverage quality of the area to be evaluated: Among them, X m Let X be the number of sampling points of the frequency point to be evaluated within the m-th effective grid; A is the number of sampling points of X within all effective grids. m The sum of; Y m B is the maximum value among the number of sampling points of different frequency points that meet the service carrying requirements within the m-th valid grid; B is the maximum value among the number of sampling points of different frequency points within all valid grids. m sum.

[0015] Furthermore, the technical effects of the network coverage assessment device described in the second aspect can be referred to the technical effects of the network coverage assessment method described in the first aspect, and will not be repeated here.

[0016] Thirdly, this application provides a network coverage assessment apparatus, which includes a processor, a communication interface, and a memory. The memory stores one or more programs, which include computer-executable instructions. When the network coverage assessment apparatus is running, the processor executes the computer-executable instructions stored in the memory, causing the network coverage assessment apparatus to perform the network coverage assessment method described in the first aspect and any of its various optional implementations.

[0017] Furthermore, the technical effects of the network coverage assessment device described in the third aspect can be referred to the technical effects of the network coverage assessment method described in the first aspect, and will not be repeated here.

[0018] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a computer, perform the network coverage assessment method described in the first aspect and any of its various optional implementations.

[0019] Furthermore, the technical effects of the computer-readable storage medium described in the fourth aspect can be referenced to the technical effects of the network coverage assessment method described in the first aspect, and will not be repeated here.

[0020] Fifthly, this application provides a computer program product containing instructions that, when the computer program product is run on a computer, cause the computer to perform the network coverage assessment method described in the first aspect and any of its various optional implementations.

[0021] Furthermore, the technical effects of the computer program product described in the fifth aspect can be referred to the technical effects of the network coverage evaluation method described in the first aspect, and will not be repeated here. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the network coverage evaluation system provided in an embodiment of this application;

[0023] Figure 2 A schematic diagram of the network coverage assessment method provided in the embodiments of this application. Figure One ;

[0024] Figure 3 A schematic diagram of the network coverage assessment method provided in the embodiments of this application. Figure Two ;

[0025] Figure 4 Schematic diagram of the network coverage evaluation device provided in the embodiments of this application Figure One ;

[0026] Figure 5 Schematic diagram of the network coverage evaluation device provided in the embodiments of this application Figure Two ;

[0027] Figure 6 Schematic diagram of the network coverage evaluation device provided in the embodiments of this application Figure Three . Detailed Implementation

[0028] The network coverage assessment method and apparatus provided in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0029] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0030] The terms "first" and "second," etc., used in the specification and drawings of this application are used to distinguish different objects or to distinguish different treatments of the same object, rather than to describe a specific order of objects.

[0031] Furthermore, the terms "comprising" and "having," and any variations thereof, used in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0032] It should be noted that in the embodiments of this application, the words "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0033] In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0034] The technical solutions of the embodiments of this application can be applied to various communication systems, such as 4th generation (4G) mobile communication systems, such as Long Term Evolution (LTE) systems, 5th generation (5G) mobile communication systems, such as New Radio (NR) systems, and future communication systems, such as 6th generation (6G) mobile communication systems, etc., and this application does not limit them.

[0035] The network coverage assessment system provided in this application is as follows: Figure 1 As shown, it includes user equipment 101, base station 102 and network coverage assessment device 103.

[0036] User equipment 101 is used to upload sampled data, including signal quality indicators, to its affiliated base station 102. The base station 102 to which user equipment 101 belongs refers to the base station 102 that provides services to user equipment 101.

[0037] Base station 102 can communicate with network coverage assessment device 103 and is used to upload sampled data, including signal quality indicators, reported by user equipment 101 to network coverage assessment device 103.

[0038] The network coverage assessment device 103 is used to perform the following network coverage assessment method based on sampled data. This method can assess the network coverage capability and service carrying capability at a specific frequency point. The network coverage assessment device 103 can be a standalone computer device or chip system, or it can be integrated into the base station 102.

[0039] It should be noted that the network coverage assessment device 103 may not communicate with the base station 102, but may obtain sampling data containing signal quality indicators from storage media, databases (such as cloud databases) to assess the scenario to be assessed.

[0040] The aforementioned user equipment 101 can be user equipment (UE), such as a mobile phone or computer, or a cellular phone, cordless phone, session initiation protocol (SIP) phone, smartphone, wireless local loop (WLL) station, personal digital assistant (PDA), laptop computer, handheld communication device, handheld computing device, satellite wireless device, wireless modem card, set-top box (STB), customer premises equipment (CPE), and / or other equipment used for communication on a wireless system.

[0041] The network coverage assessment method provided in this application embodiment is applied to... Figure 1 The network coverage assessment device shown is designed to assess the network coverage and service carrying capacity of customized networks at specific frequencies. It analyzes the actual coverage capacity of networks at specific frequencies based on sampled data, with an accuracy down to the grid level. Furthermore, it uses the service carrying capacity of different frequencies to infer the service carrying capacity of the frequency to be assessed, which can effectively reduce the complexity of data processing while ensuring the accuracy of the assessment results.

[0042] This application provides a network coverage assessment method to evaluate the signal coverage quality of an area to be assessed, which is covered by a network at a frequency to be assessed, and is applied to the aforementioned network coverage assessment device. For example... Figure 2 As shown, the method may include S201-S203:

[0043] S201. Determine the valid grid.

[0044] Among them, the effective grid is the grid in the area to be evaluated where the number of sampling points of the frequency to be evaluated is greater than or equal to the number threshold, and the sampling points of the frequency to be evaluated are the sampling points in the reported sampling data that include the signal quality index of the frequency to be evaluated.

[0045] For example, the area to be evaluated is the region where the operator considers to clear or refarm the frequency points to be evaluated, such as a train station. Before clearing or refarming the frequency points, it is necessary to evaluate the network coverage capability of the frequency points in the area to be evaluated, as well as their capacity to carry critical services.

[0046] As a further example, the area to be evaluated can be a region formed by connecting the geographic boundary points of the area to be evaluated. Based on the geographic boundary points of the area to be evaluated, the area can be rasterized. Rasterization of the area to be evaluated involves labeling the corresponding grid cells with the area to be evaluated. Some grid cells belonging to the area to be evaluated are entirely within the area; others may be located at the edge of the boundary line, meaning part of the area is inside and part is outside the area. This part of the grid cells can be considered as grid cells of the area to be evaluated, or it can be excluded. Rasterization refers to dividing a geographic area into grid cells of a regular size, such as 50 meters by 50 meters.

[0047] For example, whether a sampling point is a sampling point for a certain frequency is determined by whether the reported sampling data includes the signal quality index for that frequency. It is understood that the sampling data reported by the sampling point of the frequency to be evaluated includes the signal quality index of that frequency. Further exemplarily, signal quality indicators include: reference signal receiving power (RSRP), reference signal receiving quality (RSRQ), signal to interference plus noise ratio (SINR), etc., which are not specifically limited in this application embodiment.

[0048] For example, the area to be evaluated is divided into N grids, where N is a positive integer, such as N = 56. Among them, there are M sampling points that satisfy the frequency point to be evaluated and whose number is greater than or equal to the number threshold. Therefore, the area to be evaluated includes M valid grids, where M is a positive integer and M ≤ N, such as M = 32.

[0049] It is understandable that the number of sampling points of the frequency to be evaluated acquired in a grid can reflect the network coverage capability of the frequency to be evaluated in that grid. If the number of sampling points of the frequency to be evaluated in a certain grid is greater than or equal to the number threshold, for example, the number threshold is 300, it indicates that the coverage capability of the frequency to be evaluated in that grid is relatively strong. It should be noted that this number threshold can be flexibly set according to the length of the statistical period, and this application embodiment does not make a specific limitation.

[0050] S202. Based on the sampled data set of the target grid, evaluate the capability proportion of each different frequency point within the target grid.

[0051] The target grid is any one of the valid grids, and the capacity ratio is the ratio of the number of sampling points of different frequency points that meet the service carrying requirements within the target grid to the number of sampling points of the frequency point to be evaluated.

[0052] For example, the area to be evaluated has K+1 frequency points, including the frequency point to be evaluated f0 and K different frequency points f k =f1,f2,…,f K Based on the sampled data set of the target grid, the number of sampling points for the frequency to be evaluated and the number of sampling points for each different frequency point are determined. As mentioned above, whether a sampling point is a sampling point for a certain frequency point is determined based on whether the reported sampled data includes the signal quality index of that frequency point. It can be understood that the different frequency points f k The sampling data reported by the sampling points includes different frequency points f. k Signal quality metrics.

[0053] As a further example, the sampling data reported by a certain sampling point is inter-frequency measurement report data, which includes the measurement results (signal quality indicators such as RSRP and RSRQ) of the serving cell with a center frequency (carrier frequency) of f0, and the measurement results of the neighboring cell with a center frequency of f1. It can be understood that the sampling data reported by this sampling point includes the signal quality indicators of the frequency point f0 to be evaluated, therefore this sampling point is a sampling point for frequency f0. Furthermore, the sampling data reported by this sampling point includes the signal quality indicators of the inter-frequency point f1, therefore this sampling point is also a sampling point for frequency f1.

[0054] In one example, the target grid is the m-th of the M valid grids mentioned above, where m is a positive integer and m ≤ M. The number of sampling points for the frequency points to be evaluated within the target grid is determined as X based on the sampled data set of the target grid. m The number of sampling points for each different frequency point is determined to be x. m,k =x m,1 ,x m,2 ,…,x m,K .

[0055] In the area to be evaluated, the RSRP carrying threshold for Service 1 is Thresh1. Based on the service carrying requirements of Service 1, the number of sampling points among the sampling points of each frequency point within the target grid that meet the service carrying requirements of Service 1 (i.e., RSRP > Thresh1) is determined as y. m,k =y m,1 ,y m,2 ,…,y m,K Based on the number of sampling points that meet the service carrying requirements of Service 1, determine the capacity percentage P of each frequency point. m,k :

[0056]

[0057] It should be noted that there can be multiple service carrying requirements. For example, the service carrying requirements for service 1 can also include the RSRQ carrying threshold Thresh2, the SINR carrying threshold Thresh3, etc. Correspondingly, the sampling points that meet the service carrying requirements should also meet the conditions such as RSRQ>Thresh2 and SINR<Thresh3.

[0058] Furthermore, different services have different requirements for the wireless side, and their service carrying requirements also differ. The service experience that can be guaranteed varies under different network environments, and each type of service has its own minimum service performance indicators (such as uplink and downlink rates, retransmission rate, packet loss rate, etc.). For example, for data services, if network planning is based on an uplink rate of 1 megabits per second (Mbps), under low interference levels in an LTE network, an RSRP of approximately -115 dBm or higher is needed to guarantee a user's perceived uplink speed of 1 Mbps. For voice LTE (VoLTE) services, under good interference levels, an RSRP of approximately -112 dBm or higher is needed to guarantee a user's perceived service experience.

[0059] S203. Evaluate the capability percentage of the frequency points to be evaluated within the target grid based on the capability percentage of each different frequency point.

[0060] In some embodiments, for service 1, the capability proportion of the frequency points to be evaluated within the target grid and the capability proportion of each different frequency point satisfy:

[0061] s m =1-MAX{P m,k};

[0062] Among them, s m P represents the capability percentage of the frequency points to be evaluated within the target grid. m,k The capability percentage of the kth frequency point within the target grid, where k is a positive integer and k ≤ K.

[0063] Optionally, based on the number of sampling points X of the frequency points to be evaluated within the target grid. m The number of sampling points y that meet the service carrying requirements of Service 1 at each different frequency point. m,k =y m,1 ,y m,2 , ..., y m，K Alternatively, the capability percentage of the frequency points to be evaluated within the target grid can be directly determined:

[0064]

[0065] Understandably, s mThis characterizes the probability that frequency point f0 to be evaluated carries service 1 within the m-th effective grid, i.e., s m Service 1, which accounts for a certain proportion, is carried by the f0 frequency point. If the f0 frequency point is refarmed or cleared, the sensing capability of Service 1 within that grid will be affected. m The proportion was affected.

[0066] It should be noted that if there are no sampling points of different frequency points within the target grid that meet the service carrying requirements of Service 1, then the capacity of the f0 frequency point within that grid to carry Service 1 accounts for 1%.

[0067] By analyzing the capability percentage of each frequency point within the target grid, the capability percentage of the frequency point to be evaluated can be deduced. Since the target grid is any one of the M valid grids, repeating steps S202-S203 above can yield the capability percentage of the frequency point to be evaluated within the M valid grids, thereby enabling a comprehensive analysis and evaluation of the network coverage and service carrying capacity of the area to be evaluated.

[0068] The network coverage assessment method and apparatus provided in this application determine an effective grid based on the number of sampling points for the frequency to be assessed. Within the effective grid, the capability proportion of each inter-frequency point is assessed based on the ratio of the number of sampling points for inter-frequency points that meet service carrying requirements to the number of sampling points for the frequency to be assessed. Then, the capability proportion of the frequency to be assessed is evaluated based on the capability proportion of each inter-frequency point. Specifically, whether a sampling point is a sampling point for a given frequency is determined by whether the reported sampling data includes the signal quality index for that frequency. Compared to existing technologies, methods for assessing the coverage capability of wireless mobile communication networks have lower accuracy and are limited by network configuration and terminal capabilities. The network coverage assessment method provided in this application, under a multi-frequency, multi-standard hybrid network, analyzes the actual coverage capability of a specific frequency network based on sampling data, achieving accuracy down to the grid level. Furthermore, it uses the service carrying capacity of inter-frequency points to infer the service carrying capacity of the frequency to be assessed, effectively reducing data processing complexity and ensuring the accuracy of the assessment results.

[0069] Optional, combined Figure 2 ,like Figure 3 As shown, prior to step S201 above, the network coverage evaluation method provided in this application embodiment further includes the following step S204:

[0070] S204. Obtain the set of sampled data corresponding to the nth grid.

[0071] Where n is a positive integer, n≤N, the sampling data set includes K sets of sampling data, and one of the sampling data in the kth set of sampling data includes: the signal quality index of the frequency point to be evaluated and the signal quality index of the kth different frequency point.

[0072] For example, the nth grid can be any one of the N grids in the region to be evaluated. The specific contents of the N grids in the region to be evaluated can be referred to the relevant description in step S201 above, and will not be repeated here.

[0073] For example, the sampling data is a measurement report (MR) or drive test data.

[0074] In one implementation, the set of sampled data corresponding to the nth grid can be collected on-site. For example, in all cells within the nth grid where the center frequency is the frequency to be evaluated f0, single-frequency inter-frequency measurements are performed sequentially on K different frequency points to obtain K sets of reported sampled data.

[0075] As a further example, the base station, based on the inter-frequency points f1, f2, ..., f K Measurement requests are sent out frequency-by-frequency point, and a measurement ID is configured in the measurement request. Each measurement ID corresponds to a different frequency point. Correspondingly, each reported sample data entry includes: measurement ID, signal quality index of the serving cell (f0 frequency point), and signal quality index of neighboring cells in the different frequency range. It can be understood that the k-th sample data entry in the K groups of sample data is for the different frequency point f0. k The sampling data obtained after performing single-frequency inter-frequency measurements; therefore, one sample data point in the k-th group of sampling data includes: the signal quality index at frequency f0 and f k Signal quality indicators at specific frequencies.

[0076] Repeat step S204 above for N grids in the area to be evaluated to obtain all sampling data of the area to be evaluated. Optionally, in step S204 above, single-frequency inter-frequency measurements can be performed sequentially on K inter-frequency points in all cells in the area to be evaluated whose center frequency is the frequency point to be evaluated f0, to obtain K sets of reported sampling data, and then determine the K sets of sampling data corresponding to the nth grid.

[0077] Referring to the relevant descriptions in steps S202-S203 above, it can be understood that for each grid cell, each sampling point reporting the k-th group of sampled data is both a sampling point of frequency f0 and a sampling point of frequency f0. k Sampling points of frequency.

[0078] Performing inter-frequency measurements on a single frequency point is a function supported by most networks and terminals. Therefore, the network coverage evaluation method provided in this application is not limited by network configuration and terminal capabilities.

[0079] Optional, combined Figure 2 ,like Figure 3As shown, after step S203 above, the network coverage evaluation method provided in this application embodiment further includes one or more of the following steps S205-S207:

[0080] S205. Based on the capability proportion of the frequency points to be evaluated within the effective grid, obtain the first evaluation result S1 to represent the signal coverage quality of the area to be evaluated:

[0081]

[0082] Understandably, the first evaluation result S1 is obtained by averaging the capability proportion of the frequency points to be evaluated within all valid grids of the area to be evaluated. This first evaluation result S1 is used to characterize the average capability proportion of the frequency points to be evaluated in the area to be evaluated, that is, the proportion of the area to be evaluated where the frequency points to be evaluated carry specific services. The first evaluation result S1 is the overall evaluation result of the area to be evaluated.

[0083] S206. Based on the capability proportion of the frequency points to be evaluated within the effective grid, a second evaluation result S2 is obtained to represent the signal coverage quality of the area to be evaluated:

[0084]

[0085] Among them, X m Let A be the number of sampling points for the frequency point to be evaluated within the m-th effective grid; A is the number of sampling points for the X frequency point within all effective grids. m sum.

[0086] Understandable, For s m The weight of the frequency, calculated as the ratio of the number of sampling points within a valid grid to the total number of sampling points across all valid grids, reflects the probability that a service will occur in that valid grid and be carried by the frequency to be evaluated. Therefore, the second evaluation result S2 is used to characterize the weighted capability ratio of the frequency to be evaluated in the area to be evaluated, i.e., the proportion of a specific service carried by the frequency to be evaluated within the area to be evaluated is S2. Compared to the first evaluation result S1, the second evaluation result S2 also reflects the probability of service occurrence, thus having higher accuracy.

[0087] The first assessment result S1 and the second assessment result S2 mentioned above are both used to assess the degree of decline in network coverage and service carrying capacity caused by network frequency refarming or reduction. In other words, if the frequency points to be assessed in the area to be assessed are refarmed or cleared, the network coverage and service carrying capacity will decrease by a ratio of S1 or S2.

[0088] S207. Based on the capability proportion of the frequency points to be evaluated within the effective grid, a third evaluation result S3 is obtained to represent the signal coverage quality of the area to be evaluated:

[0089]

[0090] Among them, Y m B is the maximum value among the sampling points of different frequency points that meet the service carrying requirements within the m-th effective grid; B is the value of Y within all effective grids. m sum.

[0091] For example, corresponding to the example given in step S203 above, Y m =MAX{y m,k}

[0092] Understandable, That is, the maximum value among the capability proportions of each different frequency point within the m-th grid, and MAX{P m,k The weight of} reflects the probability that a service occurs in the effective grid and is carried by a different frequency point. Therefore, the obtained third evaluation result S3 is used to characterize the weighted capability ratio of the different frequency point in the area to be evaluated, that is, the proportion of a specific service carried by a frequency point other than the frequency point to be evaluated in the area to be evaluated is S3.

[0093] The third assessment result, S3, is used to assess the network coverage and service carrying capacity of the remaining frequency points after network frequency refarming or reduction. In other words, if the frequency points to be assessed in the area to be assessed are refarmed or cleared, there is still an S3 proportion of services that can guarantee network coverage and service carrying capacity.

[0094] The three optional methods described above are used to perform a weighted average of each valid grid cell within the assessment area, thereby evaluating the overall impact on the assessment area. Based on this evaluation result, coverage gaps caused by network refarming or network shutdown can be identified in a timely and accurate manner. Then, measures such as network construction to fill gaps and coverage optimization can be used to guide and divert users and services within the area, ensuring a good user and service experience and improving network operational efficiency.

[0095] The foregoing mainly describes the solutions provided in the embodiments of this application from the perspective of a network coverage evaluation device. It is understood that, in order to achieve the above functions, the network coverage evaluation device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, based on the network coverage evaluation devices and algorithm steps described in conjunction with the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0096] This application embodiment can divide the network coverage assessment device into functional modules or functional units according to the above method example. For example, each function can be divided into a separate functional module or functional unit, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or in software functional modules or functional units. The module or unit division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0097] This application provides a network coverage assessment device, which, by dividing each function into modules corresponding to its respective functions, provides a solution for network coverage assessment. Figure 4 A possible structural diagram of the network coverage assessment device involved in the above embodiments is shown. The network coverage assessment device includes a determination module 401 and an assessment module 402. Optionally, the determination module 401 and the assessment module 402 can also be integrated into a single module, such as a processing module. Further, the network coverage assessment device may also include a transceiver module for communicating with other network coverage assessment devices, base stations, or terminals.

[0098] The determining module 401 is used to determine the effective grid; wherein the effective grid is a grid in the area to be evaluated where the number of sampling points of the frequency to be evaluated is greater than or equal to a number threshold; the sampling points of the frequency to be evaluated are sampling points in the reported sampling data that include the signal quality index of the frequency to be evaluated.

[0099] The evaluation module 402 is used to evaluate the capability proportion of each frequency point within the target grid based on the sampling data set of the target grid; wherein, the target grid is any one of the effective grids; the capability proportion is the ratio of the number of sampling points of the frequency points within the target grid that meet the service carrying requirements to the number of sampling points of the frequency points to be evaluated, and the sampling points of the frequency points are the sampling points in the reported sampling data that include the signal quality indicators of the frequency points.

[0100] The evaluation module 402 is further configured to evaluate the capability ratio of the frequency point to be evaluated within the target grid based on the capability ratio of each different frequency point.

[0101] Optionally, the target grid is the m-th effective grid, where m is a positive integer, m≤M, M is the number of effective grids, and M is a positive integer. The area to be evaluated is deployed with K+1 frequency points, which include the frequency point to be evaluated and K different frequency points.

[0102] The capability proportion of the frequency point to be evaluated within the target grid and the capability proportion of each different frequency point satisfy the following:

[0103] s m =1-MAX{P m,k};

[0104] Among them, s m P represents the capability percentage of the frequency points to be evaluated within the target grid. m,k The capability percentage of the k-th different frequency point within the target grid, where k is a positive integer and k≤K.

[0105] Optionally, the area to be evaluated is divided into N grids, where N is a positive integer and N≥M. Combined with... Figure 4 ,like Figure 5 As shown, the network coverage evaluation device provided in this application embodiment may further include an acquisition module 403.

[0106] The acquisition module 403 is used to acquire the sampling data set corresponding to the nth grid; where n is a positive integer, n≤N, and the sampling data set includes K sets of sampling data. One of the sampling data in the kth set includes: the signal quality index of the frequency point to be evaluated and the signal quality index of the kth different frequency point.

[0107] Optionally, the evaluation module 402 is further configured to perform one or more of the following:

[0108] Based on the capability percentage of the frequency points to be evaluated within the effective grid, a first evaluation result S1 is obtained to represent the signal coverage quality of the area to be evaluated:

[0109]

[0110] Based on the capability percentage of the frequency points to be evaluated within the effective grid, a second evaluation result S2 is obtained to represent the signal coverage quality of the area to be evaluated:

[0111]

[0112] Based on the capability proportion of the frequency points to be evaluated within the effective grid, a third evaluation result S3 is obtained to represent the signal coverage quality of the area to be evaluated:

[0113]

[0114] Among them, X m Let A be the number of sampling points for the frequency point to be evaluated within the m-th effective grid; A is the number of sampling points for the X frequency point within all effective grids. m The sum of; Y m B is the maximum value among the number of sampling points of different frequency points that meet the service carrying requirements within the m-th valid grid; B is the maximum value among the number of sampling points of different frequency points within all valid grids. m sum.

[0115] The network coverage assessment device provided in this application determines an effective grid based on the number of sampling points for the frequency to be assessed. Within the effective grid, the capability proportion of each inter-frequency point is assessed based on the ratio of the number of sampling points for inter-frequency points that meet service carrying requirements to the number of sampling points for the frequency to be assessed. Then, the capability proportion of the frequency to be assessed is evaluated based on the capability proportion of each inter-frequency point. Specifically, whether a sampling point is a sampling point for a given frequency is determined by whether the reported sampling data includes the signal quality index for that frequency. Compared to existing technologies, methods for assessing the coverage capability of wireless mobile communication networks have lower accuracy and are limited by network configuration and terminal capabilities. The network coverage assessment device provided in this application, under a multi-frequency, multi-standard hybrid network, analyzes the actual coverage capability of a specific frequency network based on sampling data, achieving accuracy down to the grid level. Furthermore, it uses the service carrying capacity of inter-frequency points to infer the service carrying capacity of the frequency to be assessed, effectively reducing data processing complexity while ensuring the accuracy of the assessment results.

[0116] Figure 6 A schematic diagram of another possible structure of the network coverage assessment device involved in the above embodiments is shown. This network coverage assessment device includes a processor 601 and a communication interface 603. The processor 601 is used to control and manage the operation of the network coverage assessment device, for example, executing the steps performed by the determination module 401 and the assessment module 402, and / or performing other processes of the technology described herein. The communication interface 603 is used to support communication between the network coverage assessment device and other network entities, for example, executing the steps performed by the acquisition module 403. The network coverage assessment device may also include a memory 602 and a bus 604. The memory 602 is used to store the program code and data of the network coverage assessment device.

[0117] The processor 601 may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor may be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor may also be a combination that implements computational functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0118] The aforementioned memory 602 may be a memory in a network coverage assessment device, etc. The memory may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid-state drive; the memory may also include a combination of the above types of memory.

[0119] Bus 604 can be an Extended Industry Standard Architecture (EISA) bus, etc. Bus 604 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0120] Through the above description of the embodiments, those skilled in the art will clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0121] This application provides a computer program product containing instructions that, when run on a computer, cause the computer to execute the network coverage assessment method described in the above method embodiments.

[0122] This application also provides a computer-readable storage medium storing instructions. When a network coverage assessment device executes these instructions, the network coverage assessment device performs each step of the method flow shown in the above method embodiment.

[0123] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: electrical connections having one or more wires; portable computer disks; hard disks; random access memory (RAM); read-only memory (ROM); erasable programmable read-only memory (EPROM); registers; hard disks; optical fibers; portable compact disc read-only memory (CD-ROM); optical storage devices; magnetic storage devices; or any suitable combination thereof; or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may reside in an application-specific integrated circuit (ASIC). In the embodiments of this application, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0124] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A network coverage evaluation method, characterized by, The method comprises: determining an effective grid; wherein the effective grid is a grid in a to-be-evaluated region, a number of sampling points of a to-be-evaluated frequency point in the grid being greater than or equal to a number threshold; the sampling point of the to-be-evaluated frequency point is a sampling point including a signal quality index of the to-be-evaluated frequency point in reported sampling data; evaluating, according to a sampling data set of a target grid, a capability proportion of each inter-frequency frequency point in the target grid; wherein the target grid is any one of the effective grids; the capability proportion is a ratio of a number of sampling points of an inter-frequency frequency point meeting a service carrying requirement to a number of sampling points of the to-be-evaluated frequency point in the target grid, the sampling point of the inter-frequency frequency point being a sampling point including a signal quality index of the inter-frequency frequency point in reported sampling data; evaluating, according to the capability proportions of the inter-frequency frequency points, a capability proportion of the to-be-evaluated frequency point in the target grid.

2. The network coverage evaluation method of claim 1, wherein, The target grid is the first m effective grid, m is a positive integer, m≤M , M is the number of effective grids, M is a positive integer, and the to-be-evaluated area is deployed with K +1 frequency points, the K +1 frequency points include the to-be-evaluated frequency point and K inter-frequency frequency points; The capability proportion of the to-be-evaluated frequency point in the target grid and the capability proportions of the inter-frequency frequency points satisfy: ； wherein, is the capability proportion of the to-be-evaluated frequency point in the target grid, is the capability proportion of the i-th inter-frequency frequency point in the target grid, k is the capability proportion of the i-th inter-frequency frequency point in the target grid, k is a positive integer, k≤K .

3. The network coverage evaluation method of claim 2, wherein, The region to be evaluated is divided into N grids, N is a positive integer , N≥M ; Before the determining of the effective grid, the method further comprises: Get the n The set of sampled data corresponding to each grid cell; where... n It is a positive integer. n≤N The sampled data set includes K Group of sampled data, the first k One sample data point in the group of sampled data includes: the signal quality index of the frequency point to be evaluated and the first... k Signal quality indicators for different frequency points.

4. The network coverage evaluation method according to claim 2 or 3, characterized by, The method further comprises: According to the capability proportion of the to-be-evaluated frequency point in the effective grid, a first evaluation result for representing signal coverage quality of the to-be-evaluated area is obtained S 1, the first evaluation result S 1 for representing the average capability proportion of the to-be-evaluated frequency point in the to-be-evaluated area: ； wherein, is the number of the effective grids, m is the capacity proportion of the to-be-evaluated frequency point in the effective grid, m is a positive integer, m≤M ; M is the number of the effective grids, M is a positive integer.

5. The network coverage evaluation method according to claim 2 or 3, characterized by, The method further comprises: According to the proportion of the capability of the to-be-evaluated frequency point in the effective grid, a second evaluation result for representing the signal coverage quality of the to-be-evaluated area is obtained The second evaluation result is used to represent the weighted proportion of the to-be-evaluated frequency point in the to-be-evaluated area ； wherein, is the capacity proportion of the to-be-evaluated frequency point in the effective grid of the first m ; is the number of sampling points of the to-be-evaluated frequency point in the effective grid of the first m ; A is the sum of the of all effective grids.

6. The network coverage evaluation method according to claim 2 or 3, characterized by, The method further comprises: According to the proportion of the capability of the to-be-evaluated frequency point in the effective grid, a third evaluation result for representing signal coverage quality of the to-be-evaluated area is obtained The third evaluation result is used to represent a weighted proportion of the inter-frequency frequency point in the to-be-evaluated area ； in, For the first m The capability percentage of the frequency points to be evaluated within each of the effective grids; For the first m The maximum value among the number of sampling points of different frequency points that meet the service carrying requirements within each effective grid; B For all valid grid cells, the above sum.

7. A network coverage evaluation apparatus characterized by comprising: The method further comprises: The method comprises: a determining module, configured to determine an effective grid; wherein the effective grid is a grid in a to-be-evaluated region, a number of sampling points of a to-be-evaluated frequency point in the grid being greater than or equal to a number threshold; the sampling point of the to-be-evaluated frequency point is a sampling point including a signal quality index of the to-be-evaluated frequency point in reported sampling data; an evaluating module, configured to evaluate, according to a sampling data set of a target grid, a capability proportion of each inter-frequency frequency point in the target grid; wherein the target grid is any one of the effective grids; the capability proportion is a ratio of a number of sampling points of an inter-frequency frequency point meeting a service carrying requirement to a number of sampling points of the to-be-evaluated frequency point in the target grid, the sampling point of the inter-frequency frequency point being a sampling point including a signal quality index of the inter-frequency frequency point in reported sampling data; 8. The network coverage evaluation apparatus according to claim 7, characterized in that, The target grid is the first m effective grid, m is a positive integer, The evaluating module is further configured to evaluate, according to the capability proportions of the inter-frequency frequency points, a capability proportion of the to-be-evaluated frequency point in the target grid. , M is the number of effective grids, M is a positive integer, and the to-be-evaluated area is deployed with K +1 frequency points, the K +1 frequency points include the to-be-evaluated frequency point and K inter-frequency frequency points; m≤M ； wherein, is the capability proportion of the to-be-evaluated frequency point in the target grid, is the capability proportion of the i-th inter-frequency frequency point in the target grid, k is the capability proportion of the i-th inter-frequency frequency point in the target grid, k is a positive integer, The capability proportion of the to-be-evaluated frequency point in the target grid and the capability proportions of the inter-frequency frequency points satisfy: .

9. The network coverage evaluation apparatus of claim 8, wherein, The region to be evaluated is divided into N grids, N is a positive integer k≤K ; , N≥M The acquisition module is used to acquire the first... n The set of sampled data corresponding to each raster; where... n It is a positive integer. The apparatus further comprises: The sampled data set includes K Group of sampled data, the first k One sample data point in the group of sampled data includes: the signal quality index of the frequency point to be evaluated and the first... k Signal quality indicators for different frequency points.

10. The network coverage evaluation apparatus according to claim 8 or 9, characterized in that, n≤N According to the proportion of the capability of the to-be-evaluated frequency point in the effective grid, a first evaluation result for representing signal coverage quality of the to-be-evaluated area is obtained S 1, the first evaluation result S 1 for representing the average proportion of the capability of the to-be-evaluated frequency point in the to-be-evaluated area: ； wherein, is the number of the effective grids, m is the capacity proportion of the to-be-evaluated frequency point in the effective grid, m is a positive integer, The evaluating module further comprises: ; M is the number of the effective grids, M is a positive integer.

11. The network coverage evaluation apparatus according to claim 8 or 9, characterized by, m≤M According to the proportion of the capability of the to-be-evaluated frequency point in the effective grid, a second evaluation result for representing the signal coverage quality of the to-be-evaluated area is obtained The second evaluation result is used to represent the weighted proportion of the to-be-evaluated frequency point in the to-be-evaluated area ； wherein, is the capacity proportion of the to-be-evaluated frequency point in the effective grid of the th m is the number of sampling points of the to-be-evaluated frequency point in the effective grid of the th m A is the sum of the of all effective grids.​​ 12. The network coverage evaluation apparatus of claim 8 or 9, characterized in that, The evaluating module further comprises: According to the proportion of the capability of the to-be-evaluated frequency point in the effective grid, a third evaluation result for representing signal coverage quality of the to-be-evaluated area is obtained The third evaluation result is used to represent a weighted proportion of the inter-frequency frequency point in the to-be-evaluated area ； in, For the first m The capability percentage of the frequency points to be evaluated within each of the effective grids; For the first m The maximum value among the number of sampling points of different frequency points that meet the service carrying requirements within each effective grid; B For all valid grid cells, the above sum.

13. A network coverage evaluation apparatus, characterized by, The evaluating module further comprises:

14. A computer-readable storage medium, characterized in that, The network coverage evaluation apparatus comprises a processor, a communication interface and a memory; wherein the memory is configured to store one or more programs, the one or more programs comprising computer execution instructions; when the network coverage evaluation apparatus is running, the processor executes the computer execution instructions stored in the memory, so that the network coverage evaluation apparatus executes the network coverage evaluation method in any one of claims 1 to 6. The computer readable storage medium stores instructions, when a computer executes the instructions, the computer executes the network coverage evaluation method in any one of claims 1 to 6.

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