Method for optimizing falling back to evolved packet system frequency point based on MR big data

Abstract

The application provides a method and device for optimizing fallback to an evolved packet system frequency point based on MR big data, wherein the method comprises the following steps: collecting MR of a preset area based on a wireless network management, and performing grid processing on the MR based on a preset size to generate 5G grid level coverage data of the preset area; collecting MR of a 4G preset frequency point, and mapping the MR of the preset 4G frequency point to a 5G coverage area grid of the preset area based on user access TA and latitude and longitude information to generate 5G coverage area grid corresponding 4G preset frequency point coverage; based on the 5G coverage area grid corresponding 4G preset frequency point coverage, calculating the grid number proportion, grid coverage rate, MR number proportion, MR coverage rate and average reference signal received power (RSRP) to realize evaluation of an evolved packet system frequency back (EPSFB) frequency point; and based on the evaluation result of the EPSFB frequency point, calculating and outputting a preset EPSFB frequency point according to a preset method. The disclosure can finely optimize and configure the EPSFB frequency point of a single 5G cell to guarantee voice perception of 5G users.

Description

TECHNICAL FIELD

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

[0002] Since the 5G network of the existing network has a lower depth of coverage than the 4G network, and some 5G terminals do not support VONR (software does not support or has not turned on the switch) for the time being, the EPSFB voice mode becomes a key technical solution to solve the voice problem of the 5G terminal. The EPSFB voice mode is divided into two main modes of redirection and switching. In order to improve the operation efficiency of the network and simplify the operation and maintenance difficulty, the current 5G network EPSFB voice basically adopts a frequency-based blind redirection mode. The EPSFB frequency point of the 5G cell of the large network is generally set based on the 4 / 5G same station or near station frequency point, and the actual user signal distribution of each cell is not considered for configuration, so that the EPSFB frequency point of some 5G cells is not reasonable, thereby seriously affecting the perception of the voice user during the call process and reducing the satisfaction of mobile users.

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

[0004] The large network is generally set based on the 4 / 5G same station or near station frequency point, and the same station or near station frequency point is not necessarily the optimal frequency point, because there is a certain difference in the hanging height and azimuth angle of different cells.

[0005] The complaint problem related to the EPSFB voice frequency point is only a simple frequency point optimization for a single user to solve the user's complaint problem, and the optimized frequency point is not the optimal threshold at the cell level.

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

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

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

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

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

[0011] Based on the 5G network coverage area grid corresponding to the 4G network preset frequency point coverage situation, the grid number ratio, the grid coverage rate, the auxiliary global satellite positioning system MR number ratio, the auxiliary global satellite positioning system MR coverage rate, and the average reference signal received power RSRP are calculated to realize the evaluation of the fall back to the evolved packet system EPSFB frequency point.

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

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

[0014] Based on the preset area auxiliary global satellite positioning system MR collected by the wireless network management, the auxiliary global satellite positioning system MR includes the preset expected auxiliary global satellite positioning system MR, the preset area beam and the user access timing advance TA;

[0015] Based on the preset size, the auxiliary global satellite positioning system MR is rasterized to generate the 5G network grid level coverage data of the preset area;

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

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

[0018] The inter-system frequency point periodic measurement is issued on the 5G network management, and the inter-system frequency point periodic measurement is issued on the 4G network management;

[0019] Collect the 4G network preset frequency point auxiliary global satellite positioning system MR, and based on the user access timing advance TA and the latitude and longitude information, map the preset 4G network frequency point auxiliary global satellite positioning system MR to the 5G network coverage area grid of the preset area, and generate the 5G network coverage area grid corresponding to the 4G network preset frequency point coverage situation.

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

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

[0022] The grid coverage rate is a ratio of a grid number of a 4G network frequency level greater than or equal to a preset value to a total grid number of a 5G network coverage area in a preset area, and the grid coverage rate is used to represent a proportion of a 4G network effective coverage range of the frequency.

[0023] The auxiliary global satellite positioning system MR number ratio is a ratio of an auxiliary global satellite positioning system MR number of a 5G network coverage area of a 4G network frequency in a preset area to a total auxiliary global satellite positioning system MR number of the 5G network coverage area of the 4G network frequency in the preset area, and the auxiliary global satellite positioning system MR number ratio is used to represent a 4G frequency point camping UE capability in the 5G coverage area.

[0024] The auxiliary global satellite positioning system MR coverage rate is a ratio of a sampling point of a 4G network frequency level greater than or equal to a preset value to all sampling points of a 5G network coverage area in a preset area, and the auxiliary global satellite positioning system MR coverage rate is used to represent a proportion of a reliable sampling point of a service.

[0025] The average reference signal received power RSRP is an average reference signal received power RSRP of an auxiliary global satellite positioning system MR sampling point of a 4G network frequency, and the average reference signal received power RSRP is used to represent an absolute intensity of a coverage level.

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

[0027] The original data matrixing step generates a calculation matrix based on the grid number ratio, the grid coverage rate, the auxiliary global satellite positioning system MR number ratio, the auxiliary global satellite positioning system MR coverage rate, and the average reference signal received power RSRP.

[0028] The matrix forward step generates a forward matrix by performing forward processing on the calculation matrix.

[0029] The forward matrix standardization step generates a standardized matrix by performing standardization processing on the forward matrix based on a preset standardization formula.

[0030] The score calculation step calculates a score based on the standardized matrix and outputs a preset fall-back evolved packet system EPSFB frequency point.

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

[0032] The grid number ratio, the grid coverage, the auxiliary global satellite positioning system MR number ratio, the auxiliary global satellite positioning system MR coverage, and the average reference signal received power RSRP are respectively taken 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 comprises:

[0034] The maximum value and the minimum value of each column data of the standardized matrix are respectively calculated;

[0035] Based on the maximum value and the minimum value of each column data of the standardized matrix, the score of the evaluation object without normalization is calculated.

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

[0037] A 5G network grid construction module is configured to collect auxiliary global satellite positioning system MRs in a preset area based on a wireless network management, and perform grid processing on the auxiliary global satellite positioning system MRs based on a preset size to generate 5G network grid level coverage data of the preset area.

[0038] A 4G network coverage identification module is configured to collect auxiliary global satellite positioning system MRs of a preset frequency point of a 4G network, and map the auxiliary global satellite positioning system MRs of the preset 4G network frequency point to a 5G network coverage area grid of a preset area based on user access timing advance TA and latitude and longitude information to generate a 5G network coverage area grid corresponding to a 4G network preset frequency point coverage situation.

[0039] A frequency point evaluation module is configured to evaluate a fallback to evolved packet system EPSFB frequency point based on the 5G network coverage area grid corresponding to the 4G network preset frequency point coverage situation by calculating a grid number ratio, a grid coverage, an auxiliary global satellite positioning system MR number ratio, an auxiliary global satellite positioning system MR coverage, and an average reference signal received power RSRP.

[0040] An optimal calculation module is configured to calculate and output a preset fallback to evolved packet system EPSFB frequency point according to a proximity ideal solution sorting method based on an evaluation result of the fallback to evolved packet system EPSFB frequency point.

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

[0042] In a fourth aspect, the present application shows a non-transitory computer readable storage medium, when the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform the method of any one of the above aspects.

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

[0044] The method for optimizing fallback to evolved packet system frequency point based on MR big data in the present application comprises the following steps: collecting measurement report MR geographic distribution data of a preset area based on wireless network management, and performing grid processing on the measurement report MR geographic distribution data based on a preset size to generate 5G network grid level coverage data of the preset area; collecting measurement report MR geographic distribution data of a preset frequency point of a 4G network, and mapping the measurement report MR geographic distribution data of the preset 4G network frequency point to a 5G network coverage area grid in the preset area based on user access timing advance TA and latitude and longitude information to generate 5G network coverage area grid corresponding 4G network preset frequency point coverage; based on the 5G network coverage area grid corresponding 4G network preset frequency point coverage, 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 to realize evaluation of the fallback to evolved packet system EPSFB frequency point; and based on the evaluation result of the fallback to evolved packet system EPSFB frequency point, calculating and outputting a preset fallback to evolved packet system EPSFB frequency point according to the approximation ideal solution sorting method. The present application can finely optimize and configure the EPSFB frequency point of a single 5G cell, and guarantee the voice perception of 5G users. BRIEF DESCRIPTION OF DRAWINGS

[0045] Figure 1 It is a step flow chart of the method for optimizing fallback to evolved packet system frequency point based on MR big data in the present application.

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

[0047] Figure 3 It is a structure block diagram of the device for optimizing fallback to evolved packet system frequency point based on MR big data in the present application.

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

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

[0050] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0051] Referring to Figure 1 , a step flow chart of a method for optimizing falling back to an evolved packet system frequency point based on MR big data is shown, the method can be applied to an electronic device, wherein the method can specifically include the following steps:

[0052] In step S110, the auxiliary global satellite positioning system MR of a preset area is collected based on a wireless network management, and the auxiliary global satellite positioning system MR is rasterized based on a preset size to generate 5G network grid level coverage data of the preset area.

[0053] In step S120, the auxiliary global satellite positioning system MR of a preset frequency point of a 4G network is collected, and the auxiliary global satellite positioning system MR of the preset 4G network frequency point is mapped to a 5G network coverage area grid of a preset area based on user access timing advance TA and latitude and longitude information, to generate a 5G network coverage area grid corresponding to 4G network preset frequency point coverage.

[0054] In step S130, based on the 5G network coverage area grid corresponding to the 4G network preset frequency point coverage, the evaluation of the falling back to evolved packet system EPSFB frequency point is realized by calculating the grid number ratio, the grid coverage rate, the auxiliary global satellite positioning system MR number ratio, the auxiliary global satellite positioning system MR coverage rate, and the average reference signal received power RSRP.

[0055] In step S140, based on the evaluation result of the falling back to evolved packet system EPSFB frequency point, the preset falling back to evolved packet system EPSFB frequency point is calculated and output according to the approximation of ideal solution sorting method.

[0056] The method for optimizing the frequency point of the evolved packet system based on MR big data in the present disclosure comprises the following steps: collecting the measurement report MR geographic distribution data of a preset area based on the wireless network management, and performing grid processing on the measurement report MR geographic distribution data based on a preset size to generate 5G network grid level coverage data of the preset area; collecting the measurement report MR geographic distribution data of a preset frequency point of a 4G network, and mapping the measurement report MR geographic distribution data of the preset 4G network frequency point to the 5G network coverage area grid of the preset area based on the user access timing advance TA and the latitude and longitude information to generate the 4G network preset frequency point coverage corresponding to the 5G network coverage area grid; based on the 4G network preset frequency point coverage corresponding to the 5G network coverage area grid, the evaluation of the frequency point of the evolved packet system EPSFB is realized by calculating the grid number ratio, the grid coverage rate, the measurement report MR number ratio, the measurement report MR coverage rate and the average reference signal received power RSRP; based on the evaluation result of the frequency point of the evolved packet system EPSFB, the preset frequency point of the evolved packet system EPSFB is calculated and output according to the approximation ideal solution sorting method. The present disclosure can finely optimize and configure the EPSFB frequency point of a single 5G cell to guarantee the voice perception of 5G users.

[0057] Embodiment one:

[0058] In the embodiment of the present 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 a preset area can be collected based on the wireless network management, and the assisted global satellite positioning system MR is grid processed based on a preset size to generate 5G network grid level coverage data of the preset area.

[0060] In the embodiment of the present example, the method further comprises:

[0061] The assisted global satellite positioning system MR of a preset area collected based on the wireless network management, wherein the assisted global satellite positioning system MR comprises a preset expected assisted global satellite positioning system MR, a preset area beam and a user access timing advance TA;

[0062] The assisted global satellite positioning system MR is grid processed based on a preset size to generate 5G network grid level coverage data of the preset area;

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

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

[0065] In the embodiment of the present example, the method further comprises:

[0066] The 5G network management is issued on the system frequency point periodic measurement, and the 5G network management is issued on the system frequency point periodic measurement;

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

[0068] In step S130, based on the 5G network coverage area grid corresponding 4G network preset frequency point coverage, the grid number ratio, the grid coverage rate, the auxiliary global satellite positioning system MR number ratio, the auxiliary global satellite positioning system MR coverage rate, and the average reference signal received power RSRP can be calculated to evaluate the fall back to the evolved packet system EPSFB frequency point.

[0069] In the embodiment of the present example, the method further comprises:

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

[0071] The grid coverage rate is the ratio of the grid number of the 4G network frequency point level greater than or equal to the preset value to the total grid number of the 5G network coverage area in the preset area, and the grid coverage rate is used to represent the proportion of the effective coverage range of the frequency point of the 4G network;

[0072] The auxiliary global satellite positioning system MR number ratio is the ratio of the number of auxiliary global satellite positioning systems MR of the 4G network frequency point in the 5G network coverage area in the preset area to the total number of auxiliary global satellite positioning systems MR of the 4G network frequency point in the 5G network coverage area in the preset area, and the auxiliary global satellite positioning system MR number ratio is used to represent the 4G frequency point residence UE capability in the 5G coverage area;

[0073] The auxiliary global satellite positioning system MR coverage rate is a ratio of sampling points with a 4G network frequency point level greater than or equal to a preset value to all sampling points in a 5G network coverage area in a preset area, and the auxiliary global satellite positioning system MR coverage rate is used to represent a proportion of reliable sampling points.

[0074] The average reference signal receiving power RSRP is an average reference signal receiving power RSRP of a 4G network frequency point auxiliary global satellite positioning system MR sampling point, and the average reference signal receiving power RSRP is used to represent an absolute strength of a coverage level.

[0075] In step S140, a preset fall back to an evolved packet system EPS FB frequency point can be calculated according to the approximation to the optimal solution sorting method based on the evaluation result of the fall back to the evolved packet system EPS FB frequency point.

[0076] In the embodiment of the present example, the approximation to the optimal solution sorting method of the method further includes:

[0077] The original data matrixing step generates a calculation matrix based on the grid number proportion, the grid coverage rate, the auxiliary global satellite positioning system MR number proportion, the auxiliary global satellite positioning system MR coverage rate, and the average reference signal receiving power RSRP.

[0078] The matrix forward step generates a forward matrix by performing forward processing on the calculation matrix.

[0079] The forward matrix standardization step generates a standardized matrix by performing standardization processing on the forward matrix based on a preset standardization formula.

[0080] The score calculation step calculates a score based on the standardized matrix and outputs a preset fall back to an evolved packet system EPS FB frequency point.

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

[0082] The grid number proportion, the grid coverage rate, the auxiliary global satellite positioning system MR number proportion, the auxiliary global satellite positioning system MR coverage rate, and the average reference signal receiving power RSRP are respectively taken as column data to generate a calculation matrix.

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

[0084] The maximum value and the minimum value of each column data of the standardized matrix are respectively calculated.

[0085] Based on the maximum value and the minimum value of each column data of the standardized matrix, the score of the evaluation object without normalization is calculated.

[0086] Embodiment two:

[0087] In the embodiment of the present example, as shown in Figure 2 The present disclosure can intelligently identify and output the optimal EPSFB frequency point of a single 5G cell. The present disclosure evaluates the EPSFB frequency point of a single 5G cell by introducing five dimensions of frequency point grid number proportion, grid coverage rate, MR number proportion, MR coverage rate, and average RSRP, and uses the approximation of ideal solution ranking method to seek the optimal EPSFB frequency point of a single 5G cell. First, the 5G cell grid table of the EPSFB frequency point to be identified is obtained through the processed MR data, that is, the 5G cell coverage area; next, the coverage of each 4G frequency point corresponding to all grids covered by the 5G cell is identified to form a 4G frequency point coverage table of the 5G cell. Then, the grid number proportion, grid coverage rate, MR number proportion, MR coverage rate, and average RSRP of each 4G frequency point are calculated; finally, the approximation of ideal solution ranking method is introduced to output the optimal single 5G cell EPSFB frequency point.

[0088] In the embodiment of the present example, the step of forming the 5G cell coverage grid comprises:

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

[0090] In the embodiment of the present example, the step of identifying the coverage of each 4G frequency point corresponding to the 5G cell coverage grid comprises:

[0091] By issuing inter-system frequency periodic measurements on the 5G network management and inter-frequency and intra-frequency periodic measurements on the 4G network management, the MR conditions of different 4G frequency points are collected, and the MR coverage is mapped to the coverage grid of the 5G cell in combination with the TA, latitude, and longitude information, thereby forming the coverage of each 4G frequency point corresponding to the 5G coverage area grid.

[0092] In the embodiment of the present example, the step of outputting the key dimensions comprises:

[0093] Since the EPSFB frequency point of the 5G cell is a cell-level parameter, all 5G terminals under the 5G cell will be affected by this parameter. In order to evaluate the coverage of each 4G frequency point under the target 5G cell, the coverage area, coverage quality, and MR proportion of the 4G frequency point need to be considered comprehensively. Therefore, this paper introduces five key dimensions of grid number proportion, grid coverage rate, MR number proportion, MR coverage rate, and average RSRP to evaluate the EPSFB frequency point. The five key dimensions are defined as follows:

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

[0095] Grid coverage rate: 4G frequency point level greater than or equal to-110dbm grid number / frequency point in the area total grid number, used to represent the proportion of effective coverage of the frequency point.

[0096] MR number ratio: 4G frequency point in the area MR number / 4G in the area total MR number, used to represent the 4G frequency point in the 5G coverage area. The greater the proportion, the more UE stays in the area.

[0097] MR coverage rate: the 4G frequency point MR greater than or equal to-110dbm sampling point in the area / all sampling points of the frequency point. Used to represent the proportion of reliable sampling points of business.

[0098] Average RSRP: 4G frequency point MR sampling point average RSRP, used to represent the absolute intensity of coverage level.

[0099] In the embodiment of the present example, the step of introducing the optimal EPSFB frequency point output by the approximation ideal solution ranking method includes:

[0100] The approximation ideal solution ranking method is a commonly used comprehensive evaluation method, which can fully utilize the original data information and reflect the gap between each alternative scheme. The present application uses the approximation ideal solution ranking method to identify the optimal EPSFB frequency point.

[0101] The approximation ideal solution ranking method mainly includes four steps of original data matrix, matrix normalization, normalized matrix standardization and score calculation (the present application does not involve weight problem)

[0102] Original data matrix: refers to forming a calculation matrix with original data, each row corresponding to five key dimensions of a certain 4G frequency point, grid number ratio, grid coverage rate, MR number ratio, MR coverage rate and average RSRP, respectively, with five columns; so as to be used for subsequent calculation, the present application calculates the frequency point mainly considering 100, 1850 and 2452 of telecom.

[0103] Original matrix normalization: refers to the fact that in actual application, the larger the index, the better the result, and the smaller the index, the better the result; and the positive and negative problem, the original data needs to be normalized to achieve the result of the data result.

[0104] Normalization of normalized matrix: the purpose of standardization is to eliminate the influence of different dimensions. Assuming that there are n objects to be evaluated and m evaluation indexes (which have been normalized), the normalized matrix is as follows:

[0105]

[0106] Let the normalized matrix be Y, and each element of Y.

[0107]

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

[0109] Score calculation: First, identify the maximum and minimum value 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 of the ith evaluation object from the maximum value is:

[0113]

[0114] Then the distance of the ith evaluation object from the minimum value is:

[0115]

[0116] The score formula of the ith evaluation object without normalization is as follows:

[0117]

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

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

[0120] In the embodiment of the present example, the live network effect verification: select 259 5G cell pilots in Banan area, and identify them using the present application, of which 124 cells need to modify the frequency point; 35 cells set the optimal frequency point to 100, 67 cells to 1850, and 22 cells to 2452; the remaining 135 cells have consistent values between the live network setting and the calculated value, and do not need to be modified. After EPSFB frequency point optimization, the initial call network connection rate is improved by 0.11%, the EPSFB call VoLTE initial call connection delay is improved by 154.74ms, and the EPSFB call EPSFB initial call connection delay is improved by 196.47ms.

[0121] In the embodiment of the present example, the key dimension output includes:

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

[0123] Frequency point grid number proportion: 4G frequency point in 5G cell coverage area total grid number / 5G cell area total grid number, used to evaluate the area occupied by the frequency point, the higher the proportion, the greater the frequency point weight.

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

[0125] MR number proportion: 4G frequency point in the area MR number / 4G total MR number in the area, used to represent the 4G frequency point residence UE capability in the 5G coverage area, the larger the proportion, the more UE resides in the frequency point in the area.

[0126] MR coverage rate: the 4G frequency point MR greater than or equal to -110dbm sampling point in the area / all sampling points of the frequency point. Used to represent the proportion of reliable sampling points of business.

[0127] Average RSRP: 4G frequency point MR sampling point average RSRP, used to represent the absolute intensity of coverage level.

[0128] In the embodiment of the present example, the optimal EPSFB frequency point is output by introducing the approximation of ideal solution sorting method, which includes:

[0129] The approximate ideal solution sorting method is a commonly used comprehensive evaluation method, which can make full use of original data information and reflect the gaps between various alternative solutions. The present invention uses the approximate 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: matrixing of original data, matrix forwarding, normalization of forward matrix and score calculation (the present invention does not involve the weight problem)

[0131] Matrixing the raw data: This involves forming a calculation matrix from the raw data. Each row represents the five key dimensions corresponding to a specific 4G frequency, with five columns each. These dimensions include grid percentage, grid coverage, MR percentage, MR coverage, and average RSRP. This matrix is ​​used for subsequent calculations. This article primarily considers China Telecom frequencies such as 100, 1850, and 2452.

[0132] Forwarding the original matrix: In practical applications, the larger the indicators, the better the results, and the smaller the indicators, the better the results; as well as the 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 oriented), the positively oriented 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 an element in the 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 of the ith evaluation object from the maximum value is:

[0143]

[0144] Then the distance of the ith evaluation object from the minimum value is:

[0145]

[0146] The unnormalized score of the ith evaluation object is given by:

[0147]

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

[0149] The evaluation object with the maximum S i value is the optimal result we choose, i.e., the identified EPSFB frequency point.

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

[0151] Referring to Figure 3 , a structural block diagram of an apparatus for optimizing falling back to an evolved packet system frequency point based on MR big data is shown, the apparatus comprises 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 configured to collect an assisted global satellite positioning system MR of a preset area based on a wireless network management, and perform grid 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] 4G network coverage identification module 220, for collecting 4G network preset frequency point auxiliary global satellite positioning system MR, and based on user access timing advance TA and latitude and longitude information, mapping the preset 4G network frequency point auxiliary global satellite positioning system MR to the 5G network coverage area grid of the preset area, generating the 5G network coverage area grid corresponding to the 4G network preset frequency point coverage situation;

[0154] Frequency point evaluation module 230, for based on the 5G network coverage area grid corresponding to the 4G network preset frequency point coverage situation, through calculating the grid number ratio, the grid coverage rate, the auxiliary global satellite positioning system MR number ratio, the auxiliary global satellite positioning system MR coverage rate, the average reference signal received power RSRP, realizing the evaluation of the fall back to evolved packet system EPSFB frequency point;

[0155] Optimal calculation module 240, for based on the evaluation result of the fall back to evolved packet system EPSFB frequency point, according to the approximation of ideal solution sorting method to calculate the output preset fall back to evolved packet system EPSFB frequency point.

[0156] For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the related parts are referred to the part of the method embodiment.

[0157] Optionally, the embodiment of the application further provides an electronic device, comprising: a processor, a memory, a computer program stored on the memory and executable on the processor, which implements various processes of the above-mentioned method embodiments when executed by the processor, and can achieve the same technical effects, to avoid repetition, which will not be repeated here.

[0158] The embodiment of the application further provides a computer readable storage medium, the computer readable storage medium stores a computer program, the computer program is executed by the processor to realize the various processes of the above-mentioned method embodiments, and can achieve the same technical effects, to avoid repetition, which will not be repeated here. The computer readable storage medium, such as read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.

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

[0160] Referring to Figure 4The electronic device 800 can include one or more of the following components: a processing component 802, a memory 804, a power supply 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 usually controls overall operations of the electronic device 800, such as operations associated with displaying, making phone calls, data communications, camera operations, and recording operations. The processing component 802 can include one or more processors 820 to execute instructions to complete all or part of steps of the above methods. In addition, the processing component 802 can include one or more modules to facilitate

[0162] The memory 804 is configured to store various types of data to support operations of the electronic device 800. Examples of these data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, images, videos, and the like. The memory 804 can be implemented by any type of volatile or non-volatile storage devices 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 storage, flash memory, magnetic or optical disk.

[0163] The power supply component 806 provides power for the various components of the electronic device 800. The power supply component 806 can include a power supply 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 to provide an output interface between the electronic device 800 and a user. In some embodiments, the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense a touch, a slide, and a gesture on the touch panel. The touch sensor can not only sense a boundary of a touching or a sliding action, but also detect duration and intensity of the touching or sliding action. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. The front camera and / or the rear camera can receive external multimedia data when the electronic device 800 is in an operating mode, such as a shooting mode or a video mode. Each of the front and rear camera can be a fixed optical lens system or have a focal length and optical zooming capability.

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

[0166] The I / O interface 812 provides an interface for the processing component 802 and peripheral interface modules, such as a keypad, a click wheel, buttons, and the like. The buttons can include, but are not limited to, a home button, a volume button, a start button, and a lock button.

[0167] The sensor component 814 includes one or more sensors to provide various state assessments for the electronic device 800. For example, the sensor component 814 can detect an open / closed position of the device 800, relative positioning of components, such as a display and a keypad of the electronic device 800, a change in position of the electronic device 800 or a component of the electronic device 800, the presence or absence of user contact with the electronic device 800, the orientation or acceleration / deceleration of the electronic device 800, and a temperature change of the electronic device 800. The sensor component 814 can include a proximity sensor configured to detect presence of a nearby object without any physical touch. The sensor component 814 can further include a light sensor such as a CMOS or CCD image sensor for use in an imaging application. In some embodiments, the sensor component 814 can further include an acceleration sensor, 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 cellular network standard (such as 2G, 3G, 4G, or 5G), or a combination thereof. In an example embodiment, the communication component 816 receives broadcast signals or broadcast operation information from external broadcast management systems via a broadcast channel. In an example embodiment, the communication component 816 can further include 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) techniques, infrared data association (IrDA) techniques, ultra-wideband (UWB) techniques, Bluetooth (BT) techniques, and other techniques.

[0169] In an example embodiment, the electronic device 800 can be implemented with 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, micro-controllers, microprocessors, or other electronic elements, for performing the above-described methods.

[0170] In an example embodiment, a non-transitory computer-readable storage medium including instructions, such as the memory 804 including instructions, is also provided, which can be executed by the processor 820 of the electronic device 800 to complete the above-described methods. 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 disc, and an optical data storage device, etc.

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

[0172] Referring to 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 executable by the processing component 1922, such as an application program. The application program stored in the memory 1932 can include one or more than one module each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute the instructions to perform the above-described methods.

[0173] The computer-readable storage medium 1900 can also include a power supply component 1926 configured to perform power management for 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 can 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 the present document, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises... a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0175] From the above description of the embodiments, it is apparent that the above-described method of the embodiments can be implemented by means of software and the necessary universal hardware platform, of course, can also be implemented by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, or optical disk) and includes a number of instructions for making a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) execute the methods described in the various embodiments 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-described specific embodiments, which are merely illustrative rather than restrictive, and a person of ordinary skill in the art can make many forms under the inspiration of the present application without departing from the scope of the present application and the protection scope of the claims.

[0177] Those skilled in the art can clearly understand the unit and algorithm steps of each example described in combination with the embodiments disclosed in the present application can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software manner depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0178] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0179] In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented by other ways. For example, the apparatus embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0180] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the present embodiment.

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

[0182] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes various media that can store program codes, such as a U disk, a mobile hard disk, a ROM, a RAM, a magnetic disk or an optical disk, etc.

[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 can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for optimizing fall back to evolved packet system frequency based on MR big data, characterized in that, The method comprises: Collecting the MR of the preset area based on the wireless network management, and performing grid processing on the MR based on a preset size to generate 5G network grid-level coverage data of the preset area; Collecting the MR of the preset frequency point of the 4G network, and mapping the MR of the preset frequency point of the 4G network to the 5G network coverage area grid of the preset area based on the TA and the latitude and longitude information to generate the 5G network coverage area grid corresponding to the 4G network preset frequency point coverage situation; Based on the 5G network coverage area grid corresponding to the 4G network preset frequency point coverage situation, the grid number ratio, the grid coverage rate, the MR number ratio, the MR coverage rate, and the average RSRP are calculated to evaluate the fall back to the EPS FB frequency point; Based on the evaluation result of the fall back to the EPS FB frequency point, the proximity ideal solution sorting method is used to calculate and output the preset EPS FB frequency point.

2. The method of claim 1, wherein, The method further comprises: Based on the MR of the preset area collected by the wireless network management, the MR includes the preset expected MR, the preset area beam, and the TA of the user access; Based on the preset size, the MR is grid processed to generate 5G network grid-level coverage data of the preset area; Based on the 5G network grid-level coverage data of the preset area, the 5G network coverage grid map of the preset area is generated.

3. The method of claim 1, wherein, The method further comprises: The inter-system frequency point periodic measurement is issued on the 5G network management, and the inter-system frequency point periodic measurement is issued on the 4G network management; Collecting the MR of the preset frequency point of the 4G network, and mapping the MR of the preset frequency point of the 4G network to the 5G network coverage area grid of the preset area based on the TA and the latitude and longitude information to generate the 5G network coverage area grid corresponding to the 4G network preset frequency point coverage situation.

4. The method of claim 1, wherein, The method further comprises: The grid number ratio is the ratio of the total grid number of the 4G network frequency point in the 5G network coverage area of the preset area to the total grid number of the 4G network frequency point in the 5G network of the preset area, and the grid number ratio is used to evaluate the area occupied by the 4G network frequency point; The grid coverage rate is the ratio of the grid number of the 4G network frequency point level greater than or equal to the preset value to the total grid number of the 5G network coverage area of the preset area, and the grid coverage rate is used to represent the proportion of the effective coverage range of the frequency point of the 4G network; The auxiliary global satellite positioning system MR number ratio is a ratio of an auxiliary global satellite positioning system MR number of a 4G network frequency point in a 5G network coverage area of a preset area to a total auxiliary global satellite positioning system MR number of the 4G network frequency point in the 5G network coverage area of the preset area, and is used to represent a 4G frequency point camping UE capability in a 5G coverage area. The auxiliary global satellite positioning system MR coverage rate is a ratio of a sampling point with a 4G network frequency point level greater than or equal to a preset value to all sampling points in a 5G network coverage area of a preset area, and is used to represent a business reliable sampling point proportion. The average reference signal receiving power RSRP is an average reference signal receiving power RSRP of a 4G network frequency point auxiliary global satellite positioning system MR sampling point, and is used to represent an absolute strength of a coverage level.

5. The method of claim 1, wherein, The method further comprises: A raw data matrixing step of generating a calculation matrix based on the grid number ratio, the grid coverage rate, the auxiliary global satellite positioning system MR number ratio, the auxiliary global satellite positioning system MR coverage rate and the average reference signal receiving power RSRP; A matrix forward step of performing forward processing on the calculation matrix to generate a forward matrix; A forward matrix standardization step of performing standardization processing on the forward matrix based on a preset standardization formula to generate a standardized matrix; A score calculation step of calculating a score based on the standardized matrix and outputting a preset fall-back evolved packet system EPSFB frequency point.

6. The method of claim 5, wherein, The raw data matrixing step of the method further comprises: The grid number ratio, the grid coverage rate, the auxiliary global satellite positioning system MR number ratio, the auxiliary global satellite positioning system MR coverage rate and the average reference signal receiving power RSRP are respectively taken as column data to generate a calculation matrix.

7. The method of claim 5, wherein, The score calculation step of the method further comprises: The maximum value and the minimum value of each column data of the standardized matrix are respectively calculated; The score of the evaluation object without normalization is calculated based on the maximum value and the minimum value of each column data of the standardized matrix.

8. An apparatus for optimizing fall back to evolved packet system frequency based on MR big data, comprising: The device comprises: A 5G network grid construction module configured to collect auxiliary global satellite positioning system MRs in a preset area based on a wireless network management, and perform grid processing on the auxiliary global satellite positioning system MRs based on a preset size to generate 5G network grid level coverage data of the preset area; A 4G network coverage identification module configured to collect auxiliary global satellite positioning system MRs of a 4G network preset frequency point, and map the auxiliary global satellite positioning system MRs of the preset 4G network frequency point to a 5G network coverage area grid of a preset area based on user access timing advance TA and latitude and longitude information to generate a 5G network coverage area grid corresponding 4G network preset frequency point coverage. The frequency point evaluation module is configured to evaluate the frequency point falling back to the EPS based on the 5G network coverage area grid corresponding to the 4G network preset frequency point coverage situation, by calculating the grid number proportion, the grid coverage rate, the number proportion of the assisted global satellite positioning system MR, the coverage rate of the assisted global satellite positioning system MR, and the average reference signal received power RSRP. The optimal calculation module is configured to calculate and output the preset frequency point falling back to the EPS based on the evaluation result of the frequency point falling back to the EPS and according to the technique for order preference by similarity to ideal solution.

9. An electronic device, comprising: The computer program is stored in the memory and executable on the processor, and when the computer program is executed by the processor, the method in any one of claims 1 to 7 is implemented. The computer program is stored in the memory and executable on the processor, and when the computer program is executed by the processor, the method in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that, ​

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