Method for optimizing falling back to evolution grouping system frequency point based on MR big data

Abstract

The invention provides a method and device for optimizing falling back to an evolved packet system frequency point based on MR big data, and the method comprises the steps: collecting an MR of a preset region based on a wireless network manager, carrying out the rasterization of the MR based on a preset size, and generating the 5G grid-level coverage data of the preset region; collecting an MR of a 4G preset frequency point, and mapping the MR of the preset 4G frequency point to a 5G coverage area grid of a preset area based on the user access TA and the latitude and longitude information, and generating a 4G preset frequency point coverage condition corresponding to the 5G coverage area grid; based on a 4G preset frequency point coverage condition corresponding to a 5G coverage area grid, through calculating a grid number ratio, a grid coverage rate, an MR number ratio, an MR coverage rate and an average reference signal receiving power (RSRP), evaluation of a packet system EPSFB frequency point falling back to evolution is realized. And calculating and outputting a preset EPSFB frequency point according to a preset method based on the evaluation result of the EPSFB frequency point. According to the invention, the EPSFB frequency point of the single 5G cell can be finely optimized and configured, and the voice perception of a 5G user is guaranteed.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a method and device for optimizing fallback to an evolved packet system frequency point based on MR big data. Background Art

[0002] Since the depth of coverage of the existing 5G network is lower than that of the 4G network, and some 5G terminals do not support VONR for the time being (the software does not support it or the switch is not turned on), EPSFB voice mode has become a key technical solution to solve the voice problem of 5G terminals. EPSFB voice mode is divided into two main modes: redirection and switching. In order to improve the operational efficiency of the network and simplify the difficulty of operation and maintenance; the current 5G network's EPSFB voice basically adopts a frequency-based blind redirection mode. The EPSFB frequency points of 5G cells in large networks are generally uniformly set based on 4 / 5G co-site or near-site frequencies, and are configured without considering the distribution of actual user signals in each cell, making the EPSFB frequency point settings of some 5G cells unreasonable, which seriously affects the perception of voice users during calls and reduces mobile user satisfaction.

[0003] The EPSFB frequency limit configuration of the large network has the following disadvantages:

[0004] Large networks are generally unified based on 4 / 5G co-site or near-site frequencies. Co-site or near-site frequencies are not necessarily the optimal frequencies because there are certain differences in the hanging heights and azimuths of different cells.

[0005] Complaints about EPSFB voice and audio points can be solved by simply optimizing the frequency for individual users. Frequency optimization is not the optimal threshold at the cell level.

[0006] Therefore, how to finely optimize and configure the EPSFB frequency of a single 5G cell becomes particularly critical. Summary of the invention

[0007] The present application shows a method and device for optimizing fallback to an evolved grouping system frequency point based on MR big data.

[0008] In a first aspect, the present application shows a method for optimizing fallback to an evolved packet system frequency point based on MR big data, the method comprising:

[0009] Based on the wireless network management, the assisted global satellite positioning system MR of the preset area is collected, and the assisted global satellite positioning system MR is rasterized based on the preset size to generate 5G network grid-level coverage data of the preset area;

[0010] Collect the assisted global satellite positioning system MR of the preset frequency point of the 4G network, and based on the user access timing advance TA and longitude and latitude information, map the assisted global satellite positioning system MR of the preset 4G network frequency point to the 5G network coverage area grid of the preset area, and generate the coverage of the 5G network coverage area grid corresponding to the preset frequency point of the 4G network;

[0011] Based on the coverage of the preset 4G network frequency points corresponding to the 5G network coverage area grid, the evaluation of falling back to the evolved packet system EPSFB frequency points is achieved by calculating the grid number ratio, grid coverage rate, assisted global satellite positioning system MR number ratio, assisted global satellite positioning system MR coverage rate, and average reference signal received power RSRP;

[0012] Based on the evaluation result of falling back to the evolved packet system EPSFB frequency point, the preset falling back to the evolved packet system EPSFB frequency point is calculated and output according to the approximate ideal solution sorting method.

[0013] In an exemplary embodiment of the present disclosure, the method further includes:

[0014] An assisted global satellite positioning system MR of a preset area collected by a wireless network management system, wherein the assisted global satellite positioning system MR includes a preset expected assisted global satellite positioning system MR, a preset regional beam and a user access timing advance TA;

[0015] Rasterizing the assisted global satellite positioning system MR based on a preset size to generate 5G network grid-level coverage data for a preset area;

[0016] Based on the 5G network grid-level coverage data of the preset area, a 5G network coverage grid map of the preset area is generated.

[0017] In an exemplary embodiment of the present disclosure, the method further includes:

[0018] Issue periodic measurements of different system frequencies on the 5G network management system, and issue periodic measurements of different system frequencies on the 4G network management system;

[0019] The assisted global satellite positioning system MR of the preset frequency points of the 4G network is collected, and based on the user access timing advance TA and longitude and latitude information, the assisted global satellite positioning system MR of the preset 4G network frequency points is mapped to the 5G network coverage area grid of the preset area, and the coverage of the 5G network coverage area grid corresponding to the preset 4G network frequency points is generated.

[0020] In an exemplary embodiment of the present disclosure, the method further includes:

[0021] The grid number ratio is the ratio of the total number of grids in the 5G network coverage area of ​​the 4G network frequency in the preset area to the total number of 5G network grids of the 4G network frequency in the preset area, and the grid number ratio is used to evaluate the area occupied by the 4G network frequency;

[0022] The grid coverage rate is the ratio of the number of grids with a 4G network frequency level greater than or equal to a preset value to the total number of grids in the 5G network coverage area in the preset area. The grid coverage rate is used to characterize the proportion of the effective coverage range of the 4G network at the frequency point;

[0023] The proportion of the number of assisted global satellite positioning system MRs is the ratio of the number of assisted global satellite positioning system MRs in the 5G network coverage area of ​​the preset area with 4G network frequency points to the total number of assisted global satellite positioning system MRs in the 5G network coverage area of ​​the preset area with 4G network frequency points. The proportion of the number of assisted global satellite positioning system MRs is used to characterize the ability of UEs to reside on each 4G frequency point in the 5G coverage area;

[0024] The assisted global satellite positioning system MR coverage rate is the ratio of sampling points where the 4G network frequency level is greater than or equal to a preset value to all sampling points in the 5G network coverage area in the preset area. The assisted global satellite positioning system MR coverage rate is used to characterize the proportion of reliable sampling points for the service;

[0025] The average reference signal received power RSRP is the average reference signal received power RSRP of the 4G network frequency-assisted global satellite positioning system MR sampling point, and the average reference signal received power RSRP is used to characterize the absolute strength of the coverage level.

[0026] In an exemplary embodiment of the present disclosure, the method of approximating the ideal solution sorting method further includes:

[0027] The step of matrixing the original data is to generate a calculation matrix based on the proportion of grid numbers, grid coverage, proportion of assisted global satellite positioning system MR numbers, assisted global satellite positioning system MR coverage, and average reference signal received power RSRP;

[0028] A matrix forwarding step, performing forward processing on the calculation matrix to generate a forward matrix;

[0029] A forward matrix standardization step, based on a preset standardization formula, the forward matrix is ​​standardized to generate a standardized matrix;

[0030] The score calculation step is to calculate the score based on the standardized matrix and output the preset frequency point of falling back to the evolved packet system EPSFB.

[0031] In an exemplary embodiment of the present disclosure, the original data matrixing step of the method further includes:

[0032] The grid number ratio, grid coverage rate, assisted global satellite positioning system MR number ratio, assisted global satellite positioning system MR coverage rate, and average reference signal received power RSRP are respectively used as column data to generate a calculation matrix.

[0033] In an exemplary embodiment of the present disclosure, the score calculation step of the method further includes:

[0034] Calculate the maximum and minimum values ​​of each column of the standardized matrix respectively;

[0035] Based on the maximum and minimum values ​​of the data in each column of the standardization matrix, the unnormalized score of the evaluation object is calculated.

[0036] In a second aspect, the present application shows a device for optimizing fallback to an evolved packet system frequency point based on MR big data, the device comprising:

[0037] A 5G network grid construction module is used to collect the assisted global satellite positioning system MR of a preset area based on the wireless network management, and to perform rasterization processing on the assisted global satellite positioning system MR based on a preset size to generate 5G network grid-level coverage data of the preset area;

[0038] The 4G network coverage identification module is used to collect the assisted global satellite positioning system MR of the preset frequency point of the 4G network, and based on the user access timing advance TA and longitude and latitude information, map the assisted global satellite positioning system MR of the preset 4G network frequency point to the 5G network coverage area grid of the preset area, and generate the coverage of the 5G network coverage area grid corresponding to the preset frequency point of the 4G network;

[0039] A frequency point evaluation module is used to evaluate the frequency point of falling back to the evolved packet system EPSFB by calculating the grid number ratio, grid coverage rate, assisted global satellite positioning system MR number ratio, assisted global satellite positioning system MR coverage rate, and average reference signal received power RSRP based on the coverage of the preset 4G network frequency points corresponding to the 5G network coverage area grid;

[0040] The optimal calculation module is used to calculate and output the preset fallback to the evolved packet system EPSFB frequency point based on the evaluation result of the fallback to the evolved packet system EPSFB frequency point according to the approximate ideal solution sorting method.

[0041] In a third aspect, the present application shows an electronic device, which includes: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the method described in any of the above aspects.

[0042] In a fourth aspect, the present application illustrates a non-temporary computer-readable storage medium, which, when instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to execute a method as described in any of the above aspects.

[0043] In a fifth aspect, the present application illustrates a computer program product. When instructions in the computer program product are executed by a processor of an electronic device, the electronic device is enabled to execute the method described in any of the above aspects.

[0044] The method disclosed in the present invention optimizes the frequency point of falling back to the evolved packet system based on MR big data, including: based on the measurement report MR geographical distribution data of the preset area collected by the wireless network management, and rasterizing the measurement report MR geographical distribution data based on the preset size to generate 5G network grid-level coverage data of the preset area; collecting the measurement report MR geographical distribution data of the preset frequency point of the 4G network, and based on the user access timing advance TA and longitude and latitude information, mapping the measurement report MR geographical distribution data of the preset 4G network frequency point to the 5G network coverage area grid of the preset area, and generating the coverage of the 5G network coverage area grid corresponding to the 4G network preset frequency point; based on the coverage of the 5G network coverage area grid corresponding to the 4G network preset frequency point, by calculating the grid number ratio, grid coverage rate, measurement report MR number ratio, measurement report MR coverage rate, and average reference signal received power RSRP, the evaluation of falling back to the evolved packet system EPSFB frequency point is realized; based on the evaluation result of falling back to the evolved packet system EPSFB frequency point, the preset falling back to the evolved packet system EPSFB frequency point is calculated and output according to the approximate ideal solution sorting method. The present disclosure can finely optimize and configure the EPSFB frequency of a single 5G cell to ensure the voice perception of 5G users. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a flowchart of the steps of a method for optimizing the frequency points of an evolved grouping system based on MR big data in the present application.

[0046] Figure 2 It is a logic flow chart of a method for optimizing the fallback to the frequency point of the evolved grouping system based on MR big data in the present application.

[0047] Figure 3 This is a structural block diagram of a frequency point device for a packet system based on MR big data optimization and fallback to evolution in the present application.

[0048] Figure 4 It is a block diagram of an electronic device of the present application.

[0049] Figure 5 It is a block diagram of a computer-readable storage medium of the present application. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0051] Reference Figure 1 , shows a flowchart of a method for optimizing fallback to an evolved grouping system frequency point based on MR big data of the present application, the method can be applied to an electronic device, wherein the method can specifically include the following steps:

[0052] Step S110, collecting the assisted global satellite positioning system MR of the preset area based on the wireless network management, and rasterizing the assisted global satellite positioning system MR based on a preset size to generate 5G network grid-level coverage data of the preset area;

[0053] Step S120, collecting the assisted global satellite positioning system MR of the preset frequency point of the 4G network, and based on the user access timing advance TA and the longitude and latitude information, mapping the assisted global satellite positioning system MR of the preset 4G network frequency point to the 5G network coverage area grid of the preset area, and generating the coverage of the 5G network coverage area grid corresponding to the preset frequency point of the 4G network;

[0054] Step S130, based on the coverage of the preset frequency points of the 4G network corresponding to the grid of the 5G network coverage area, by calculating the proportion of the number of grids, the grid coverage rate, the proportion of the number of assisted global satellite positioning systems MR, the assisted global satellite positioning system MR coverage rate, and the average reference signal received power RSRP, an evaluation of falling back to the evolved packet system EPSFB frequency point is achieved;

[0055] Step S140: Based on the evaluation result of the fallback to the evolved packet system EPSFB frequency point, a preset fallback to the evolved packet system EPSFB frequency point is calculated and output according to the near-ideal solution sorting method.

[0056] The method disclosed in the present invention optimizes the frequency point of falling back to the evolved packet system based on MR big data, including: based on the measurement report MR geographical distribution data of the preset area collected by the wireless network management, and rasterizing the measurement report MR geographical distribution data based on the preset size to generate 5G network grid-level coverage data of the preset area; collecting the measurement report MR geographical distribution data of the preset frequency point of the 4G network, and based on the user access timing advance TA and longitude and latitude information, mapping the measurement report MR geographical distribution data of the preset 4G network frequency point to the 5G network coverage area grid of the preset area, and generating the coverage of the 5G network coverage area grid corresponding to the 4G network preset frequency point; based on the coverage of the 5G network coverage area grid corresponding to the 4G network preset frequency point, by calculating the grid number ratio, grid coverage rate, measurement report MR number ratio, measurement report MR coverage rate, and average reference signal received power RSRP, the evaluation of falling back to the evolved packet system EPSFB frequency point is realized; based on the evaluation result of falling back to the evolved packet system EPSFB frequency point, the preset falling back to the evolved packet system EPSFB frequency point is calculated and output according to the approximate ideal solution sorting method. The present disclosure can finely optimize and configure the EPSFB frequency of a single 5G cell to ensure the voice perception of 5G users.

[0057] Embodiment 1:

[0058] In the embodiment of this example, 4G is the fourth generation mobile communication technology, 5G is the fifth generation mobile communication technology, MR is the assisted global satellite positioning system, and RSRP is the reference signal received power.

[0059] In step S110, the assisted global satellite positioning system MR of the preset area can be collected based on the wireless network management, and the assisted global satellite positioning system MR can be rasterized based on a preset size to generate 5G network grid-level coverage data of the preset area.

[0060] In the embodiment of this example, the method further includes:

[0061] An assisted global satellite positioning system MR of a preset area collected by a wireless network management system, wherein the assisted global satellite positioning system MR includes a preset expected assisted global satellite positioning system MR, a preset regional beam and a user access timing advance TA;

[0062] Rasterizing the assisted global satellite positioning system MR based on a preset size to generate 5G network grid-level coverage data for a preset area;

[0063] Based on the 5G network grid-level coverage data of the preset area, a 5G network coverage grid map of the preset area is generated.

[0064] In step S120, the assisted global satellite positioning system MR of the preset frequency point of the 4G network can be collected, and based on the user access timing advance TA and longitude and latitude information, the assisted global satellite positioning system MR of the preset 4G network frequency point can be mapped to the 5G network coverage area grid of the preset area to generate the coverage of the 5G network coverage area grid corresponding to the preset frequency point of the 4G network.

[0065] In the embodiment of this example, the method further includes:

[0066] Issue periodic measurements of different system frequencies on the 5G network management system, and issue periodic measurements of different system frequencies on the 4G network management system;

[0067] The assisted global satellite positioning system MR of the preset frequency points of the 4G network is collected, and based on the user access timing advance TA and longitude and latitude information, the assisted global satellite positioning system MR of the preset 4G network frequency points is mapped to the 5G network coverage area grid of the preset area, and the coverage of the 5G network coverage area grid corresponding to the preset 4G network frequency points is generated.

[0068] In step S130, based on the coverage of the preset frequency points of the 4G network corresponding to the 5G network coverage area grid, the evaluation of falling back to the evolved packet system EPSFB frequency point can be achieved by calculating the grid number ratio, grid coverage rate, assisted global satellite positioning system MR number ratio, assisted global satellite positioning system MR coverage rate, and average reference signal received power RSRP.

[0069] In the embodiment of this example, the method further includes:

[0070] The grid number ratio is the ratio of the total number of grids in the 5G network coverage area of ​​the 4G network frequency in the preset area to the total number of 5G network grids of the 4G network frequency in the preset area, and the grid number ratio is used to evaluate the area occupied by the 4G network frequency;

[0071] The grid coverage rate is the ratio of the number of grids with a 4G network frequency level greater than or equal to a preset value to the total number of grids in the 5G network coverage area in the preset area. The grid coverage rate is used to characterize the proportion of the effective coverage range of the 4G network at the frequency point;

[0072] The proportion of the number of assisted global satellite positioning system MRs is the ratio of the number of assisted global satellite positioning system MRs in the 5G network coverage area of ​​the preset area with 4G network frequency points to the total number of assisted global satellite positioning system MRs in the 5G network coverage area of ​​the preset area with 4G network frequency points. The proportion of the number of assisted global satellite positioning system MRs is used to characterize the ability of UEs to reside on each 4G frequency point in the 5G coverage area;

[0073] The assisted global satellite positioning system MR coverage rate is the ratio of sampling points where the 4G network frequency level is greater than or equal to a preset value to all sampling points in the 5G network coverage area in the preset area. The assisted global satellite positioning system MR coverage rate is used to characterize the proportion of reliable sampling points for the service;

[0074] The average reference signal received power RSRP is the average reference signal received power RSRP of the 4G network frequency-assisted global satellite positioning system MR sampling point, and the average reference signal received power RSRP is used to characterize the absolute strength of the coverage level.

[0075] In step S140, based on the evaluation result of falling back to the evolved packet system EPSFB frequency point, the preset falling back to the evolved packet system EPSFB frequency point may be calculated and output according to the near-ideal solution sorting method.

[0076] In the embodiment of this example, the method of approximating the ideal solution sorting method further includes:

[0077] The step of matrixing the original data is to generate a calculation matrix based on the proportion of grid numbers, grid coverage, proportion of assisted global satellite positioning system MR numbers, assisted global satellite positioning system MR coverage, and average reference signal received power RSRP;

[0078] A matrix forwarding step, performing forward processing on the calculation matrix to generate a forward matrix;

[0079] A forward matrix standardization step, based on a preset standardization formula, the forward matrix is ​​standardized to generate a standardized matrix;

[0080] The score calculation step is to calculate the score based on the standardized matrix and output the preset frequency point of falling back to the evolved packet system EPSFB.

[0081] In the embodiment of this example, the original data matrixing step of the method further includes:

[0082] The grid number ratio, grid coverage rate, assisted global satellite positioning system MR number ratio, assisted global satellite positioning system MR coverage rate, and average reference signal received power RSRP are respectively used as column data to generate a calculation matrix.

[0083] In the embodiment of this example, the score calculation step of the method further includes:

[0084] Calculate the maximum and minimum values ​​of each column of the standardized matrix respectively;

[0085] Based on the maximum and minimum values ​​of the data in each column of the standardization matrix, the unnormalized score of the evaluation object is calculated.

[0086] Embodiment 2:

[0087] In this exemplary embodiment, if Figure 2 As shown, the present disclosure can intelligently identify and output the optimal EPSFB frequency of a single 5G cell. The present disclosure evaluates the EPSFB frequency of a single 5G cell by introducing five dimensions: frequency grid number ratio, grid coverage, MR number ratio, MR coverage and average RSRP, and uses the approximate ideal solution sorting method to seek the optimal EPSFB frequency of a single 5G cell. This paper first obtains the 5G cell grid table that needs to identify the EPSFB frequency through the processed MR data, that is, the 5G cell coverage area; then identifies the coverage of each 4G frequency point corresponding to all grids covered by the 5G cell, and forms a 4G frequency point coverage comparison table of the 5G cell. Then calculate the grid number ratio, grid coverage, MR number ratio, MR coverage and average RSRP of each 4G frequency point; finally, introduce the approximate ideal solution sorting method to output the optimal single 5G cell EPSFB frequency point.

[0088] In the embodiment of this example, the step of forming a 5G cell coverage grid includes:

[0089] Based on the 5G cell MR, cell beam and user access TA information collected by the wireless network management, the 5G cell MR geographical distribution data is realized, and the MR data is rasterized by 50 meters * 50 meters to obtain the raster-level coverage data of the 5G cell, thereby forming a coverage grid map of the 5G cell. The function of 5G cell coverage rasterization has been successfully realized on the platform.

[0090] In the embodiment of this example, the steps of identifying the coverage of each 4G frequency point corresponding to the 5G cell coverage grid include:

[0091] By sending periodic measurements of different system frequencies up and down the 5G network management, and sending periodic measurements of different frequencies and the same frequency up and down the 4G network management, the MR conditions of different 4G frequencies are collected, and the MR coverage conditions are mapped to the coverage grid of the 5G cell in combination with TA, longitude and latitude information, thereby forming a 5G coverage area grid corresponding to the coverage conditions of each 4G frequency point.

[0092] In the embodiment of this example, the criticality dimension output step includes:

[0093] Since the EPSFB frequency of the 5G cell is a cell-level parameter, all 5G terminals in the 5G cell will be affected by this parameter. In order to evaluate the coverage of each 4G frequency in the target 5G cell, it is necessary to comprehensively consider factors such as the coverage area, coverage quality and MR ratio of the 4G frequency. Therefore, this article introduces five key dimensions: grid number ratio, grid coverage rate, MR number ratio, MR coverage rate, and average RSRP to evaluate the EPSFB frequency. The five key dimensions are defined as follows:

[0094] Frequency grid number ratio: total number of grids of 4G frequency points in the 5G cell coverage area / total number of grids in the 5G cell area. It is used to evaluate the area occupied by the frequency points. The higher the ratio, the greater the frequency weight.

[0095] Grid coverage rate: the number of grids where the 4G frequency level is greater than or equal to -110dbm / the total number of grids in the area where the frequency is located, used to characterize the proportion of the effective coverage range of the frequency.

[0096] MR number ratio: MR number of 4G frequency points in the area / total MR number of 4G in the area, used to characterize the UE resident capacity of each 4G frequency point in the 5G coverage area. The larger the ratio, the more UEs are resident on the frequency point in the area.

[0097] MR coverage: The MR of the 4G frequency point in the area is greater than or equal to -110dbm sampling point / all sampling points of the frequency point. It is used to indicate the proportion of reliable sampling points for services.

[0098] Average RSRP: average RSRP of MR sampling points at the 4G frequency, used to characterize the absolute strength of the coverage level.

[0099] In the embodiment of this example, the step of introducing the approximate ideal solution sorting method to output the optimal EPSFB frequency point includes:

[0100] The approach to ideal solution sorting method is a commonly used comprehensive evaluation method, which can make full use of the original data information and reflect the gap between the alternative solutions. The present invention uses the approach to ideal solution sorting method to identify the optimal EPSFB frequency point.

[0101] The approach to ideal solution sorting method is mainly divided into four steps: original data matrixing, matrix forwarding, forward matrix standardization and score calculation (the present invention does not involve weight issues)

[0102] Matrixization of raw data: refers to forming a calculation matrix from raw data. Each row is five key dimensions corresponding to a certain 4G frequency point, including grid number ratio, grid coverage rate, MR number ratio, MR coverage rate, and average RSRP, with five columns respectively. This matrix is ​​used for subsequent calculations. This article mainly considers 100, 1850, and 2452 of Telecom for frequency calculation.

[0103] Forwarding the original matrix: In practical applications, the larger the indicators, the better the results; the smaller the indicators, the better the results; and for positive and negative problems, the original data needs to be forwarded to achieve data results with larger indicators and better effects.

[0104] Normalization of the forward matrix: The purpose of normalization is to eliminate the influence of different dimensions. Assuming there are n objects to be evaluated and m evaluation indicators (already normalized), the forward matrix is ​​as follows:

[0105]

[0106] Then the standardized matrix is ​​recorded as Y, and each element of Y.

[0107]

[0108] y ij is the element in matrix Y, x ij are the elements in the matrix X.

[0109] Score calculation: First identify the maximum and minimum values ​​of each column, as follows:

[0110] Y + ={max(y 11 …y n1 )max(y 12 …y n2 )…max(y 1m …y nm )}

[0111] Y - ={min(y 11 …y n1 )min(y 12 …y n2 )…min(y 1m …y nm )}

[0112] Then the distance between the i-th evaluation object and the maximum value is:

[0113]

[0114] Then the distance between the i-th evaluation object and the minimum value is:

[0115]

[0116] The unnormalized score formula for the i-th evaluation object is as follows:

[0117]

[0118] Obviously, 0≤S i ≤1, and S i The larger it is, the closer it is to the maximum value.

[0119] S i The evaluation object with the largest value is the optimal result we selected, that is, the identified EPSFB frequency point.

[0120] In the embodiment of this example, the existing network effect is verified: 259 5G cell pilots in the Banan area are selected and identified using the present invention, of which 124 cells need to modify the frequency; 35 cells set the optimal frequency to 100, 67 cells set to 1850, and 22 cells set to 2452; the existing network setting values ​​of the remaining 135 cells are consistent with the calculated values ​​and do not need to be modified. After the EPSFB frequency is tuned, the network connection rate of the initial call is improved by 0.11%, the delay of the initial call connection when EPSFB dials VoLTE is improved by 154.74ms, and the delay of the initial call connection when EPSFB dials EPSFB is improved by 196.47ms.

[0121] In the embodiment of this example, the criticality dimension output includes:

[0122] Since the EPSFB frequency of the 5G cell is a cell-level parameter, all 5G terminals in the 5G cell will be affected by this parameter. In order to evaluate the coverage of each 4G frequency in the target 5G cell, it is necessary to comprehensively consider factors such as the coverage area, coverage quality and MR ratio of the 4G frequency. Therefore, the five key dimensions of grid number ratio, grid coverage rate, MR number ratio, MR coverage rate and average RSRP disclosed in this disclosure are used to evaluate the EPSFB frequency. The five key dimensions are defined as follows:

[0123] Frequency grid number ratio: total number of grids of 4G frequency points in the 5G cell coverage area / total number of grids in the 5G cell area. It is used to evaluate the area occupied by the frequency points. The higher the ratio, the greater the frequency weight.

[0124] Grid coverage rate: the number of grids where the 4G frequency level is greater than or equal to -110dbm / the total number of grids in the area where the frequency is located, used to characterize the proportion of the effective coverage range of the frequency.

[0125] MR number ratio: MR number of 4G frequency points in the area / total MR number of 4G in the area, used to characterize the UE resident capacity of each 4G frequency point in the 5G coverage area. The larger the ratio, the more UEs are resident on the frequency point in the area.

[0126] MR coverage: The MR of the 4G frequency point in the area is greater than or equal to -110dbm sampling point / all sampling points of the frequency point. It is used to indicate the proportion of reliable sampling points for services.

[0127] Average RSRP: average RSRP of MR sampling points at the 4G frequency, used to characterize the absolute strength of the coverage level.

[0128] In the embodiment of this example, the method of introducing the approximate ideal solution sorting method to output the optimal EPSFB frequency point includes:

[0129] The approach to ideal solution sorting method is a commonly used comprehensive evaluation method, which can make full use of the original data information and reflect the gap between the alternative solutions. The present invention uses the approach to ideal solution sorting method to identify the optimal EPSFB frequency point.

[0130] The approach to ideal solution sorting method is mainly divided into four steps: original data matrixing, matrix forwarding, forward matrix standardization and score calculation (the present invention does not involve weight issues)

[0131] Matrixization of raw data: refers to forming a calculation matrix from raw data. Each row is five key dimensions corresponding to a certain 4G frequency point, including grid number ratio, grid coverage rate, MR number ratio, MR coverage rate, and average RSRP, with five columns respectively. This matrix is ​​used for subsequent calculations. This article mainly considers 100, 1850, and 2452 of Telecom for frequency calculation.

[0132] Forwarding the original matrix: In practical applications, the larger the indicators, the better the results; the smaller the indicators, the better the results; and for positive and negative problems, the original data needs to be forwarded to achieve data results with larger indicators and better effects.

[0133] Forward matrix normalization: The purpose of normalization is to eliminate the influence of different dimensions. The normalization formula is as follows:

[0134] Assuming there are n objects to be evaluated and m evaluation indicators (already positively converted), the positively converted matrix is ​​as follows:

[0135]

[0136] Then the standardized matrix is ​​recorded as Y, and each element of Y is:

[0137]

[0138] y ij is the element in matrix Y, x ij are the elements in the matrix X.

[0139] Score calculation: First identify the maximum and minimum values ​​of each column, as follows:

[0140] Y + ={max(y 11 …y n1 )max(y 12 …y n2 )…max(y 1m …y nm )}

[0141] Y - ={min(y 11 …yn1 )min(y 12 …y n2 )…min(y 1m …y nm )}

[0142] Then the distance between the i-th evaluation object and the maximum value is:

[0143]

[0144] Then the distance between the i-th evaluation object and the minimum value is:

[0145]

[0146] The unnormalized score formula for the i-th evaluation object is as follows:

[0147]

[0148] Obviously, 0≤S i ≤1, and S i The larger it is, the closer it is to the maximum value.

[0149] S i The evaluation object with the largest value is the optimal result we selected, that is, the identified EPSFB frequency point.

[0150] It should be noted that, for the method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions involved are not necessarily required by the present application.

[0151] Reference Figure 3 , shows a structural block diagram of a device for optimizing fallback to an evolved packet system frequency point based on MR big data of the present application, the device includes a 5G network grid construction module 210, a 4G network coverage identification module 220, a frequency point evaluation module 230 and an optimal calculation module 240, wherein:

[0152] The 5G network grid construction module 210 is used to collect the assisted global satellite positioning system MR of the preset area based on the wireless network management, and perform rasterization processing on the assisted global satellite positioning system MR based on a preset size to generate 5G network grid-level coverage data of the preset area;

[0153] The 4G network coverage identification module 220 is used to collect the assisted global satellite positioning system MR of the preset frequency point of the 4G network, and based on the user access timing advance TA and the longitude and latitude information, map the assisted global satellite positioning system MR of the preset 4G network frequency point to the 5G network coverage area grid of the preset area, and generate the coverage of the 5G network coverage area grid corresponding to the preset frequency point of the 4G network;

[0154] The frequency point evaluation module 230 is used to evaluate the frequency point of falling back to the evolved packet system EPSFB by calculating the grid number ratio, grid coverage rate, assisted global satellite positioning system MR number ratio, assisted global satellite positioning system MR coverage rate, and average reference signal received power RSRP based on the coverage of the preset frequency point of the 4G network corresponding to the 5G network coverage area grid;

[0155] The optimal calculation module 240 is used to calculate and output a preset fallback to the evolved packet system EPSFB frequency point according to the approximate ideal solution sorting method based on the evaluation result of the fallback to the evolved packet system EPSFB frequency point.

[0156] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0157] Optionally, an embodiment of the present application further provides an electronic device, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, the various processes of the above-mentioned method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0158] The embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, each process of the above method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. The computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0159] Figure 4 800 is a block diagram of an electronic device 800 shown in the present application. For example, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0160] Reference Figure 4, the electronic device 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power component 806 , a multimedia component 808 , an audio component 810 , an input / output (I / O) interface 812 , a sensor component 814 , and a communication component 816 .

[0161] The processing component 802 generally controls the overall operation of the electronic device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above method. In addition, the processing component 802 may include one or more modules to facilitate the interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.

[0162] The memory 804 is configured to store various types of data to support operations on the device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phone book data, messages, images, videos, etc. The memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0163] The power supply component 806 provides power to the various components of the electronic device 800. The power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.

[0164] The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. When the device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and the rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0165] The audio component 810 is configured to output and / or input audio signals. For example, the audio component 810 includes a microphone (MIC), and when the electronic device 800 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 804 or sent via the communication component 816. In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.

[0166] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: home button, volume button, start button, and lock button.

[0167] The sensor assembly 814 includes one or more sensors for providing various aspects of status assessment for the electronic device 800. For example, the sensor assembly 814 can detect the open / closed state of the device 800, the relative positioning of components, such as the display and keypad of the electronic device 800, and the sensor assembly 814 can also detect the position change of the electronic device 800 or a component of the electronic device 800, the presence or absence of contact between the user and the electronic device 800, the orientation or acceleration / deceleration of the electronic device 800, and the temperature change of the electronic device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0168] The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 can access a wireless network based on a communication standard, such as WiFi, a carrier network (such as 2G, 3G, 4G or 5G), or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast operation information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0169] In an exemplary embodiment, the electronic device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above methods.

[0170] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, and the instructions can be executed by a processor 820 of an electronic device 800 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0171] Figure 5 19 is a block diagram of a computer-readable storage medium 1900 shown in the present application. For example, the computer-readable storage medium 1900 may be provided as a server.

[0172] Reference Figure 5 , the computer-readable storage medium 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932 for storing instructions, such as an application, that can be executed by the processing component 1922. The application stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above method.

[0173] The computer readable storage medium 1900 may also include a power supply component 1926 configured to perform power management of the computer readable storage medium 1900, a wired or wireless network interface 1950 configured to connect the computer readable storage medium 1900 to a network, and an input / output (I / O) interface 1958. The computer readable storage medium 1900 may operate based on an operating system stored in the memory 1932, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™ or the like.

[0174] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0175] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0176] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0177] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0178] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0179] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0180] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0181] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0182] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard drives, ROM, RAM, magnetic disks, or optical disks.

[0183] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for optimizing the frequency point of the evolved grouping system based on MR big data, characterized in that: The method comprises: Based on the wireless network management, the assisted global satellite positioning system MR of the preset area is collected, and the assisted global satellite positioning system MR is rasterized based on the preset size to generate 5G network grid-level coverage data of the preset area; Collect the assisted global satellite positioning system MR of the preset frequency point of the 4G network, and based on the user access timing advance TA and longitude and latitude information, map the assisted global satellite positioning system MR of the preset 4G network frequency point to the 5G network coverage area grid of the preset area, and generate the coverage of the 5G network coverage area grid corresponding to the preset frequency point of the 4G network; Based on the coverage of the preset 4G network frequency points corresponding to the 5G network coverage area grid, the evaluation of falling back to the evolved packet system EPSFB frequency points is achieved by calculating the grid number ratio, grid coverage rate, assisted global satellite positioning system MR number ratio, assisted global satellite positioning system MR coverage rate, and average reference signal received power RSRP; Based on the evaluation result of falling back to the evolved packet system EPSFB frequency point, the preset falling back to the evolved packet system EPSFB frequency point is calculated and output according to the approximate ideal solution sorting method.

2. The method according to claim 1, characterized in that The method further comprises: An assisted global satellite positioning system MR of a preset area collected by a wireless network management system, wherein the assisted global satellite positioning system MR includes a preset expected assisted global satellite positioning system MR, a preset regional beam and a user access timing advance TA; Rasterizing the assisted global satellite positioning system MR based on a preset size to generate 5G network grid-level coverage data for a preset area; Based on the 5G network grid-level coverage data of the preset area, a 5G network coverage grid map of the preset area is generated.

3. The method according to claim 1, characterized in that The method further comprises: Issue periodic measurements of different system frequencies on the 5G network management system, and issue periodic measurements of different system frequencies on the 4G network management system; The assisted global satellite positioning system MR of the preset frequency points of the 4G network is collected, and based on the user access timing advance TA and longitude and latitude information, the assisted global satellite positioning system MR of the preset 4G network frequency points is mapped to the 5G network coverage area grid of the preset area, and the coverage of the 5G network coverage area grid corresponding to the preset 4G network frequency points is generated.

4. The method according to claim 1, characterized in that The method further comprises: The grid number ratio is the ratio of the total number of grids in the 5G network coverage area of ​​the 4G network frequency in the preset area to the total number of 5G network grids of the 4G network frequency in the preset area, and the grid number ratio is used to evaluate the area occupied by the 4G network frequency; The grid coverage rate is the ratio of the number of grids with a 4G network frequency level greater than or equal to a preset value to the total number of grids in the 5G network coverage area in the preset area. The grid coverage rate is used to characterize the proportion of the effective coverage range of the 4G network at the frequency point; The proportion of the number of assisted global satellite positioning system MRs is the ratio of the number of assisted global satellite positioning system MRs in the 5G network coverage area of ​​the preset area with 4G network frequency points to the total number of assisted global satellite positioning system MRs in the 5G network coverage area of ​​the preset area with 4G network frequency points. The proportion of the number of assisted global satellite positioning system MRs is used to characterize the ability of UEs to reside on each 4G frequency point in the 5G coverage area; The assisted global satellite positioning system MR coverage rate is the ratio of sampling points where the 4G network frequency level is greater than or equal to a preset value to all sampling points in the 5G network coverage area in the preset area. The assisted global satellite positioning system MR coverage rate is used to characterize the proportion of reliable sampling points for the service; The average reference signal received power RSRP is the average reference signal received power RSRP of the 4G network frequency-assisted global satellite positioning system MR sampling point, and the average reference signal received power RSRP is used to characterize the absolute strength of the coverage level.

5. The method according to claim 1, characterized in that The method of approximating the ideal solution sorting method also includes: The step of matrixing the original data is to generate a calculation matrix based on the proportion of grid numbers, grid coverage, proportion of assisted global satellite positioning system MR numbers, assisted global satellite positioning system MR coverage, and average reference signal received power RSRP; A matrix forwarding step, performing forward processing on the calculation matrix to generate a forward matrix; A forward matrix standardization step, based on a preset standardization formula, the forward matrix is ​​standardized to generate a standardized matrix; The score calculation step is to calculate the score based on the standardized matrix and output the preset frequency point of falling back to the evolved packet system EPSFB.

6. The method according to claim 5, characterized in that The original data matrixing step of the method also includes: The grid number ratio, grid coverage rate, assisted global satellite positioning system MR number ratio, assisted global satellite positioning system MR coverage rate, and average reference signal received power RSRP are respectively used as column data to generate a calculation matrix.

7. The method according to claim 5, characterized in that The score calculation step of the method further includes: Calculate the maximum and minimum values ​​of each column of the standardized matrix respectively; Based on the maximum and minimum values ​​of the data in each column of the standardization matrix, the unnormalized score of the evaluation object is calculated.

8. A device for optimizing fallback to the frequency point of the evolved packet system based on MR big data, characterized in that: The device comprises: A 5G network grid construction module is used to collect the assisted global satellite positioning system MR of a preset area based on the wireless network management, and to perform rasterization processing on the assisted global satellite positioning system MR based on a preset size to generate 5G network grid-level coverage data of the preset area; The 4G network coverage identification module is used to collect the assisted global satellite positioning system MR of the preset frequency point of the 4G network, and based on the user access timing advance TA and longitude and latitude information, map the assisted global satellite positioning system MR of the preset 4G network frequency point to the 5G network coverage area grid of the preset area, and generate the coverage of the 5G network coverage area grid corresponding to the preset frequency point of the 4G network; A frequency point evaluation module is used to evaluate the frequency point of falling back to the evolved packet system EPSFB by calculating the grid number ratio, grid coverage rate, assisted global satellite positioning system MR number ratio, assisted global satellite positioning system MR coverage rate, and average reference signal received power RSRP based on the coverage of the preset 4G network frequency points corresponding to the 5G network coverage area grid; The optimal calculation module is used to calculate and output the preset fallback to the evolved packet system EPSFB frequency point based on the evaluation result of the fallback to the evolved packet system EPSFB frequency point according to the approximate ideal solution sorting method.

9. An electronic device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the method according to any one of claims 1 to 7 when executed by the processor.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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