CN116939724A

CN116939724A - Method, device, equipment and storage medium for determining priority of fallback frequency point

Info

Publication number: CN116939724A
Application number: CN202210334328.1A
Authority: CN
Inventors: 方东旭; 周徐
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Chongqing Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Chongqing Co Ltd
Priority date: 2022-03-31
Filing date: 2022-03-31
Publication date: 2023-10-24

Abstract

The application discloses a method, a device, equipment and a storage medium for determining the priority of a fallback frequency point. The method for determining the frequency return point priority comprises the steps of obtaining test frequency return point data, actual frequency return point data and original priority of the frequency return point corresponding to a target cell; determining a test fallback frequency point duty ratio according to the test fallback frequency point data, determining an actual fallback frequency point duty ratio according to the actual fallback frequency point data, and determining frequency point weights respectively corresponding to a plurality of fallback frequency points according to the original priority of the fallback frequency points; and determining priorities of the plurality of fallback frequency points based on the test fallback frequency point duty ratio, the actual fallback frequency point duty ratio and the frequency point weight. According to the embodiment of the application, the occupied frequency point in falling back is more reasonable, the probability of the problems of switching failure, high redirection, high time delay and the like is reduced, and the voice call experience of a user is improved.

Description

Method, device, equipment and storage medium for determining priority of fallback frequency point

Technical Field

The application belongs to the technical field of communication, and particularly relates to a method, a device, equipment and a storage medium for determining the priority of a fallback frequency point.

Background

With the continuous development and popularization of 5G networks, during the EPS FB (Evolved Packet System Fallback ) call process, users often need to fall back to a 4G frequency point, so that the rationality of setting the priority of the fallback frequency point becomes an important factor for improving the call quality.

The setting of the priority of the 4G frequency point VoLTE of the current network 5G cell is mainly configured based on the suggested mode given by the communication enterprise group, and is suitable for most application scenes, but the problems of switching failure, high redirection, high delay and the like occur from the actual network condition of the current network and the EPS FB call requirement of the user, and the voice call experience of the user is affected because the scene covered by the 5G cell is different, the 4G side mainly covers the difference of the cell and the fallback frequency point, and for some scenes or areas, the general setting mode of the priority of the fallback frequency point often cannot meet the actual requirement, so that the occupied frequency point is unreasonable during fallback is caused.

Disclosure of Invention

The embodiment of the application provides a method, a device, equipment and a storage medium for determining the priority of a fallback frequency point, which can enable the frequency point occupation during fallback to be more reasonable, reduce the probability of switching failure, high redirection, high time delay and other problems, and improve the voice call experience of a user.

In a first aspect, an embodiment of the present application provides a method for determining a priority of a fallback frequency point, where the method includes:

acquiring test fallback frequency point data, actual fallback frequency point data and original priority of the fallback frequency points corresponding to a target cell, wherein the target cell is a cell covered by a first communication network, the target cell corresponds to a plurality of fallback frequency points, and the fallback frequency points are frequency points in a second communication network;

determining a test fallback frequency point duty ratio according to the test fallback frequency point data, determining an actual fallback frequency point duty ratio according to the actual fallback frequency point data, and determining frequency point weights respectively corresponding to the plurality of fallback frequency points according to the original priority of the fallback frequency points;

and determining the priorities of the plurality of fallback frequency points based on the test fallback frequency point duty ratio, the actual fallback frequency point duty ratio and the frequency point weight.

In some embodiments, the acquiring test fallback frequency point data corresponding to the target cell includes:

based on a plurality of preset sampling points in the target cell, carrying out the same-point different-system data test on the target cell;

and acquiring frequency point occupation results obtained by testing the plurality of sampling points according to a preset time granularity, and taking the frequency point occupation results as the test return frequency point data.

In some embodiments, the determining the test back drop point duty cycle according to the test back drop point data includes:

counting and obtaining the occupation times corresponding to each frequency point in the target cell and the total occupation times corresponding to the plurality of frequency points according to the test frequency point data;

and determining the occupation ratio of the test fallback frequency points according to the occupation times corresponding to each fallback frequency point and the total occupation times corresponding to the plurality of fallback frequency points.

In some embodiments, acquiring actual fallback frequency point data corresponding to the target cell includes:

acquiring actual fallback frequency point data corresponding to a plurality of cells through a preset network quality monitoring platform, wherein the actual fallback frequency point data at least comprises data corresponding to a target field, and the target field comprises a fallback mode, a calling initial cell, a fallback switching cell and a fallback redirection cell;

and acquiring actual fallback frequency point data of the calling initial cell as the target cell from the actual fallback frequency point data corresponding to the cells as the actual fallback frequency point data corresponding to the target cell.

In some embodiments, the determining the actual frequency-back point duty ratio according to the actual frequency-back point data includes:

counting the number of fallback times by taking the calling initial cell and the fallback switching cell as a fallback neighbor cell pair under the condition that the fallback mode is a switching mode aiming at each fallback frequency point, and obtaining a first counted number of times respectively corresponding to each fallback frequency point;

counting the number of times of fallback by taking the calling initial cell and the fallback redirection cell as a fallback neighbor cell pair under the condition that the fallback mode is a redirection mode aiming at each fallback frequency point, and obtaining second counting times respectively corresponding to each fallback frequency point;

summing the first statistical times and the second statistical times aiming at each falling frequency point to obtain falling times corresponding to each falling frequency point and total falling times corresponding to the plurality of falling frequency points;

and determining the actual frequency point occupation ratio according to the frequency points corresponding to each frequency point and the total frequency points corresponding to the frequency points.

In some embodiments, the determining the frequency point weights corresponding to the plurality of fallback frequency points according to the original priority of the fallback frequency points includes:

Based on an analytic hierarchy process, taking the plurality of fallback frequency points as evaluation factors, and constructing an analysis matrix according to the original priority of the fallback frequency points;

and based on the analysis matrix, calculating the weight of the evaluation factor according to a preset algorithm to obtain the frequency point weight corresponding to each return frequency point in the plurality of return frequency points.

In some embodiments, the determining the priorities of the plurality of fallback frequency points based on the test fallback frequency point duty cycle, the actual fallback frequency point duty cycle, and the frequency point weight includes:

acquiring a first index weight corresponding to a first index item, a second index weight corresponding to a second index item and a third index weight corresponding to a third index item, wherein the first index item is an index item corresponding to the test fallback frequency point occupation ratio, the second index item is an index item corresponding to the actual fallback frequency point occupation ratio, and the third index item is an index item corresponding to the frequency point weight;

according to the first index weight, the second index weight and the third index weight, respectively carrying out weighted summation on the test fallback frequency point occupation ratio, the actual fallback frequency point occupation ratio and the frequency point weight aiming at each fallback frequency point in the plurality of fallback frequency points to obtain priority grading values respectively corresponding to each fallback frequency point;

And determining the priority of the plurality of frequency return points based on the priority grading values.

In a second aspect, an embodiment of the present application provides a device for determining a priority of a fallback frequency point, where the device includes:

the data acquisition module is used for acquiring test fallback frequency point data, actual fallback frequency point data and original priority of the fallback frequency points corresponding to a target cell, wherein the target cell is a cell covered by a first communication network, the target cell corresponds to a plurality of fallback frequency points, and the fallback frequency points are frequency points in a second communication network;

the duty ratio determining module is used for determining a test frequency point duty ratio according to the test frequency point data, determining an actual frequency point duty ratio according to the actual frequency point data, and determining frequency point weights corresponding to the plurality of frequency points respectively according to the original priority of the frequency point;

the priority determining module is configured to determine priorities of the plurality of fallback frequency points based on the test fallback frequency point duty ratio, the actual fallback frequency point duty ratio, and the frequency point weight.

In some embodiments, the data acquisition module comprises:

the testing sub-module is used for testing the co-located heterogeneous system data of the target cell based on a plurality of preset sampling points in the target cell;

The first acquisition sub-module is used for acquiring frequency point occupation results obtained by testing the plurality of sampling points according to preset time granularity and taking the frequency point occupation results as the test return frequency point data.

In some embodiments, the duty cycle determination module comprises:

the first statistics sub-module is used for counting and obtaining the occupation times corresponding to each fallback frequency point in the target cell and the total occupation times corresponding to the fallback frequency points according to the test fallback frequency point data;

the first determining submodule is used for determining the occupation ratio of the test fallback frequency points according to the occupation times corresponding to each fallback frequency point and the total occupation times corresponding to the fallback frequency points.

In some embodiments, the data acquisition module comprises:

the second acquisition sub-module is used for acquiring actual fallback frequency point data corresponding to a plurality of cells through a preset network quality monitoring platform, wherein the actual fallback frequency point data at least comprises data corresponding to a target field, and the target field comprises a fallback mode, a calling initial cell, a fallback switching cell and a fallback redirection cell;

and the third acquisition sub-module is used for acquiring the actual fallback frequency point data of the calling initial cell as the target cell from the actual fallback frequency point data corresponding to the cells as the actual fallback frequency point data corresponding to the target cell.

In some embodiments, the duty cycle determination module comprises:

the second statistics sub-module is used for counting the number of times of fallback by taking the calling initial cell and the fallback switching cell as a fallback adjacent cell for each fallback frequency point under the condition that the fallback mode is a switching mode, so as to obtain a first statistics number of times respectively corresponding to each fallback frequency point;

the third statistics sub-module is used for counting the number of times of fallback by taking the calling initial cell and the fallback redirection cell as a fallback neighbor cell under the condition of the fallback redirection mode aiming at each fallback frequency point, and obtaining second statistics times respectively corresponding to each fallback frequency point;

the summation sub-module is used for summing the first statistical times and the second statistical times aiming at each falling frequency point to obtain falling times corresponding to each falling frequency point and total falling times corresponding to the plurality of falling frequency points;

and the second determining submodule is used for determining the actual falling frequency point duty ratio according to the falling times corresponding to each falling frequency point and the total falling times corresponding to the plurality of falling frequency points.

In some embodiments, the duty cycle determination module comprises:

The matrix construction sub-module is used for constructing an analysis matrix by taking the plurality of return frequency points as evaluation factors based on an analytic hierarchy process according to the original priority of the return frequency points;

and the weight calculation sub-module is used for calculating the weight of the evaluation factor according to a preset algorithm based on the analysis matrix to obtain the frequency point weight corresponding to each return frequency point in the plurality of return frequency points.

In some embodiments, the priority determination module comprises:

a fourth obtaining submodule, configured to obtain a first index weight corresponding to a first index item, a second index weight corresponding to a second index item, and a third index weight corresponding to a third index item, where the first index item is an index item corresponding to the test fallback frequency point occupation ratio, the second index item is an index item corresponding to the actual fallback frequency point occupation ratio, and the third index item is an index item corresponding to the frequency point weight;

the weighted summation sub-module is used for respectively carrying out weighted summation on the test frequency point occupation ratio, the actual frequency point occupation ratio and the frequency point weights according to the first index weight, the second index weight and the third index weight and aiming at each frequency point of the plurality of frequency points to obtain priority grading values respectively corresponding to each frequency point;

And the third determining submodule is used for determining the priority of the plurality of fallback frequency points based on the priority grading value.

In a third aspect, an embodiment of the present application provides an electronic device, including: a processor and a memory storing computer program instructions;

the processor when executing the computer program instructions implements the steps of the fallback frequency point priority determination method as described in any of the embodiments of the first aspect.

In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the fallback frequency point priority determination method as described in any of the embodiments of the first aspect.

In a fifth aspect, embodiments of the present application provide a computer program product, instructions in which, when executed by a processor of an electronic device, cause the electronic device to perform the steps of the fallback frequency point priority determination method as described in any of the embodiments of the first aspect.

The method, the device, the equipment and the computer readable storage medium for determining the priority of the fallback frequency point in the embodiment of the application determine the priority of each fallback frequency point according to three types of indexes of the test fallback frequency point duty ratio, the actual fallback frequency point duty ratio and the frequency point weight of each fallback frequency point in the original priority strategy, thus, the determined priority result is more in accordance with the individuation condition of a target cell due to the triple influence factors of the field test condition, the actual condition and the theoretical fallback frequency point strategy of the existing network, the subsequent corresponding optimization of network optimization personnel is guided in a targeted manner, the occupied frequency point of the user of the target cell is more reasonable when the user of the target cell performs voice call fallback, the probability of switching failure, high redirection, high time delay and the like is reduced, and the voice call experience of the user is improved.

Drawings

In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are needed to be used in the embodiments of the present application will be briefly described, and it is possible for a person skilled in the art to obtain other drawings according to these drawings without inventive effort.

Fig. 1 is a flow chart of a method for determining a priority of a fallback frequency point according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a device for determining priority of a fallback frequency point according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail below with reference to the accompanying drawings and the detailed embodiments. It should be understood that the particular embodiments described herein are meant to be illustrative of the application only and not limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the application by showing examples of the application.

It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation 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 may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

In order to solve the problems in the prior art, the embodiment of the application provides a method, a device, equipment and a computer readable storage medium for determining the priority of a fallback frequency point. The method for determining the priority of the fallback frequency point can be applied to a scene of setting the priority of the fallback frequency point among communication network systems, and the method for determining the priority of the fallback frequency point provided by the embodiment of the application is introduced.

Fig. 1 is a schematic flow chart of an embodiment of a method for determining a priority of a fallback frequency point according to the present application. As shown in fig. 1, the method for determining the priority of the fallback frequency point specifically includes the following steps:

s110, acquiring test fallback frequency point data, actual fallback frequency point data and original priority of the fallback frequency points corresponding to a target cell, wherein the target cell is a cell covered by a first communication network, the target cell corresponds to a plurality of fallback frequency points, and the fallback frequency points are frequency points in a second communication network;

s120, determining a test fallback frequency point duty ratio according to the test fallback frequency point data, determining an actual fallback frequency point duty ratio according to the actual fallback frequency point data, and determining frequency point weights respectively corresponding to a plurality of fallback frequency points according to the original priority of the fallback frequency points;

s130, determining priorities of a plurality of fallback frequency points based on the test fallback frequency point duty ratio, the actual fallback frequency point duty ratio and the frequency point weight.

Therefore, the priorities of the fallback frequency points are determined according to the three types of indexes of the test fallback frequency point duty ratio, the actual fallback frequency point duty ratio and the frequency point weight of each fallback frequency point in the original priority strategy, and as a result, the three influencing factors of the site test condition, the actual condition and the existing network theory fallback frequency point strategy are fully considered, the determined priority result is more in accordance with the individuation condition of the target cell, and further the network optimizing personnel are guided to correspondingly conduct subsequent corresponding optimization, so that the occupied frequency point of the target cell user in voice call fallback is more reasonable, the probability of switching failure, high redirection, high time delay and other problems is reduced, and the voice call experience of the user is improved.

A specific implementation of each of the above steps is described below.

In some embodiments, in S110, the first communication network may be a 5G network, correspondingly, the second communication network may be a 4G network, and of course, other communication networks may also be used, for example, the first communication network may also be a 4G network, correspondingly, the second communication network may also be a 3G network, which is not limited herein.

For example, a plurality of 4G frequency points may be corresponding to the target 5G cell as alternative fallback frequency points, for example, the fallback frequency points may include 1350 frequency points, 38950 frequency points, 39148 frequency points, 38400 frequency points, 38550 frequency points, 36275 frequency points, 40936 frequency points, 41134 frequency points, and 3590 frequency points. When the user performs EPS FB call in the target 5G cell, frequency point fallback can be performed according to the priority of each fallback frequency point.

In addition, the test fallback frequency point data can be real user data obtained by setting a plurality of sampling points in the target cell and performing field communication test based on each sampling point. For example, the test fallback frequency point data may include identification information of a cell covered by the first communication network and its corresponding occupied frequency point (i.e., the fallback frequency point). In the case where the first communication network is a 5G network, the cell identification information includes, but is not limited to, information such as an NR gNodeB ID, an NR Sector ID, an NR PCI, etc. Based on the above, the test return frequency point data corresponding to the target cell can be obtained from the test return frequency point data of the whole network according to the cell identification information of the target cell.

The actual fallback frequency point data can be full-network fallback actual performance monitoring data obtained from a preset data platform. The actual fallback frequency point data may include data of fields such as a fallback mode, a call initial cell, a fallback handover cell, a fallback redirection cell, a start time, an end time, and the like. Taking a scenario that the 5G network drops back to the 4G network frequency point as an example, the drop-back mode may include an N26 handover mode and an N26 redirection mode, the call initial cell may be a 5G cell, the drop-back handover cell may be a 4G cell dropped back in the N26 handover mode, and the drop-back handover cell may be an S1MME TAU 4G cell. Based on the above, the actual fallback frequency point data of the calling initial cell as the target cell can be obtained from the actual fallback frequency point data of the whole network according to the cell identification information of the target cell.

The original priority of the fallback frequency point can be the original priority setting information of the extracted full network frequency point according to the current network fallback frequency point strategy, for example, the setting condition of the priority of the EPS FB fallback frequency point VoLTE shown in the following table 1.

Table 1, fallback frequency bin original priority

Frequency point	VoLTE priority configuration	Frequency point weighting
			1350	6	35％
38950	5	15％
			39148	5	15％
38400	4	8％
			38550	4	8％
36275	3	5％
			40936	3	5％
41134	3	5％
			3590	2	4％

In the original priority configuration strategy shown in table 1, the higher the priority configuration is, the better the frequency point is selected as the fallback frequency point when the fallback occurs.

In some embodiments, in S120, taking the 5G fallback 4G as an example, the number of times of occupation of each 4G frequency point under the 5G and coverage may be counted based on the test fallback frequency point data, and then a test fallback frequency point duty ratio is calculated according to the counted result, where the test fallback frequency point duty ratio may be a ratio between the number of times of occupation corresponding to each fallback frequency point in the standby fallback frequency points of the target cell and the total number of times of occupation of the fallback frequency points.

In addition, the adjacent cell pairs falling from 5G to 4G can be processed based on the actual falling frequency point data, the falling times between the adjacent cell pairs are counted, and the actual falling frequency point duty ratio is calculated according to the counting result, wherein the actual falling frequency point duty ratio can comprise the ratio of the falling times corresponding to each falling frequency point to the total times.

In addition, according to the original priority of the fallback frequency points shown in the above table 1, according to a preset analysis algorithm, a frequency point weight may be set for each fallback frequency point. The predetermined analysis algorithm may be, for example, an analytic hierarchy process (Analytic Hierarchy Process, AHP), but may be any other analysis algorithm, which is not limited herein.

In some embodiments, the step of determining the frequency point weights corresponding to the plurality of fallback frequency points according to the original priorities of the fallback frequency points in S120 includes:

Based on an analytic hierarchy process, taking a plurality of fallback frequency points as evaluation factors, and constructing an analysis matrix according to the original priority of the fallback frequency points;

based on the analysis matrix, performing weight calculation aiming at the evaluation factors according to a preset algorithm to obtain the frequency point weight corresponding to each fallback frequency point in the plurality of fallback frequency points.

Taking a 5G fallback 4G scenario as an example, the hierarchical AHP is used to calculate the weight of each frequency point, which includes 9 evaluation factors (i.e., 9 criterion layers are frequency points 1350, 38950, 39148, 38400, 38550, 36275, 40936, 41134, 3590, respectively). In addition, according to the original priorities of the fallback frequency points shown in table 1, the importance of the frequency point 1350 is higher than that of the frequency points 38950 and 39148, so that the importance of the frequency points 38950 and 39148 is relatively lower than that of the frequency point 1350, and therefore, the importance of the frequency point 1350 is set to be 1/2. And the rest items are analytically scored by the importance of the corresponding frequency points of each row relative to the corresponding frequency points of each column, and a nine-order analysis matrix is obtained as shown in table 2.

TABLE 2 nine-order analysis matrix based on AHP

	1350	38950	39148	38400	38550	36275	40936	41134	3590
										1350	1	2	2	3	3	4	4	4	5
38950	1/2	1	1	2	2	3	3	3	4
										39148	1/2	1	1	2	2	3	3	3	4
38400	1/3	1/2	1/2	1	1	2	2	2	3
										38550	1/3	1/2	1/2	1	1	2	2	2	3
36275	1/4	1/3	1/3	1/2	1/2	1	2	2	3
										40936	1/4	1/3	1/3	1/2	1/2	1/2	1	2	3
41134	1/4	1/3	1/3	1/2	1/2	1/2	1/2	1	3
										3590	1/5	1/4	1/4	1/3	1/3	1/3	1/3	1/3	1

And performing AHP weight calculation through a preset algorithm, wherein the preset algorithm can be a sum product method. Based on the sum product method analysis and calculation, the frequency point 1350 weight is 23.28%, the frequency points 38950 and 39148 weight are 16.21%, and the like, and finally the frequency point weights corresponding to the falling frequency points are obtained, as shown in table 3.

TABLE 3 nine-order analysis matrix based on AHP

It should be noted that, if the original priority of the fallback frequency point is changed in the following steps, the value of the frequency point weight can be analyzed and calculated again according to the actual requirement and the variation of the network service quality and the same analysis mode.

In some embodiments, in S130, the indexes such as the frequency point occupation ratio, the actual frequency point occupation ratio, the frequency point weight and the like of the fallback frequency point are tested, so that comprehensive evaluation and scoring can be performed, and the higher the comprehensive score is, the higher the priority that the frequency point should be configured is.

For example, for each corresponding frequency return point in the target cell, the values of the three indexes including the test frequency return point duty ratio, the actual frequency return point duty ratio and the frequency point weight can be directly added to serve as the final priority grading value, and then the priority of each frequency return point is determined according to the priority grading value.

Based on this, in order to further improve the accuracy of the comprehensive scoring, in some embodiments, S130 may specifically include:

acquiring a first index weight corresponding to a first index item, a second index weight corresponding to a second index item and a third index weight corresponding to a third index item, wherein the first index item is an index item corresponding to a test fallback frequency point occupation ratio, the second index item is an index item corresponding to an actual fallback frequency point occupation ratio, and the third index item is an index item corresponding to a frequency point weight;

According to the first index weight, the second index weight and the third index weight, respectively carrying out weighted summation on the tested frequency point occupation ratio, the actual frequency point occupation ratio and the frequency point weight aiming at each frequency point in the plurality of frequency points to obtain priority grading values respectively corresponding to each frequency point;

based on the priority score values, priorities of the plurality of fallback frequency points are determined.

Here, the calculation of the priority score value may mainly include two steps: and (5) calculating index weighting and scoring values.

Illustratively, three indicators may first be weighted by optimization experience. The test frequency point occupation ratio can reflect the actual frequency point condition of the site, and index item weights are set for the test frequency point occupation ratio; the actual frequency point occupation ratio can reflect the background actual frequency point fallback condition, and index item weights are set for the background actual frequency point fallback condition; the frequency point weight can reflect the original sequence specification of the frequency point fall-back in the network, and the index item weight is set to be 50%. The specific weighting patterns are shown in table 4.

Table 4, index term and frequency point weighting table

Based on the above table 4, illustratively, the frequency point weights corresponding to the single frequency point may be multiplied by the corresponding index term weights and then added to obtain the final value of the priority score of the frequency point of the cell. The specific calculation formula is as follows, wherein P represents a priority score value corresponding to a single fallback frequency point of the target cell, y represents a frequency point weight of the single fallback frequency point under the corresponding index item, and Z represents an index weight (for example, a first index weight, a second index weight, and a third index weight) corresponding to the single index item.

P＝y ₁ z ₁ +y ₂ z ₂ +y ₃ z ₃

The priority grading value of each corresponding fallback frequency point in the target cell is finally obtained through twice weighted calculation, and the priority evaluation method can be suitable for evaluating the priority of the fallback frequency points of other cells covered by the first communication network, individually optimizing the priority of the fallback frequency points of each cell and reducing the fallback time delay and the fallback risk during voice communication.

In addition, in order to improve accuracy of the test fallback frequency point data, in some embodiments, the step of obtaining the test fallback frequency point data corresponding to the target cell in S110 may specifically include:

based on a plurality of preset sampling points in a target cell, carrying out the same-point heterogeneous system data test on the target cell;

and acquiring frequency point occupation results obtained by testing a plurality of sampling points according to a preset time granularity, and taking the frequency point occupation results as test return frequency point data.

Here, in order to obtain the real user data, the data test of the same-point heterogeneous system can be performed based on the drive test pull network or the road sweeping, and then the information of the occupied frequency point in the test sampling point is collected according to the preset time granularity. The predetermined time granularity may be, for example, 1s.

It should be noted that, the network-by-network test or the floor sweeping test can be performed on the whole network, the test return frequency point data of the whole network can be obtained, and then the data corresponding to the cell can be obtained from the test return frequency point data according to the cell identification information of the target cell.

Based on this, the step of determining the test fallback frequency point duty ratio in S120 according to the test fallback frequency point data may specifically include:

counting and obtaining the occupation times corresponding to each frequency point in the target cell and the total occupation times corresponding to a plurality of frequency points according to the test frequency point data;

In some specific examples, taking a 5G fallback 4G scenario as an example, 4/5G occupied cell information, that is, test fallback frequency point data, is obtained through the above process, where the test fallback frequency point data may include information such as an NR gNodeB ID, an NR Sector ID, an NR PCI, and an occupied frequency point.

4/5G data matching is carried out according to the time sequence through the same-vehicle test data, and 4G frequency point occupation and distribution conditions in the same time period when 5G occupies the target cell are analyzed. The time sequence refers to an ordered set of data acquisition records arranged in time sequence. And the occupied times corresponding to the frequency falling points in the preset time period can be obtained through statistics along with the time. Specifically, the data statistics shown in Table 5 were obtained.

Table 5, statistics of 4G frequency point occupancy times in 5G cell

The table 5 includes statistics results of the number of times of occupation of 4G frequency points corresponding to a plurality of 5G cells, and based on the statistics results, the test frequency point occupation ratio corresponding to each frequency point in each 5G cell can be calculated. For example, for a target 5G cell (NR gNodeB ID 3347792;NR Sector ID of 1; NR PCI of 558), the test back drop frequency point duty cycle that can be calculated from table 5 above includes: the duty ratio corresponding to the frequency point 1350=13/(13+35) =27.08%, the duty ratio corresponding to the frequency point 38400=13/(13+35) =72.92%, and the duty ratio corresponding to the other frequency points=0%.

In addition, in some embodiments, the step of obtaining the actual fallback frequency point data corresponding to the target cell in S110 may specifically include:

and acquiring actual fallback frequency point data of the calling initial cell serving as the target cell from the actual fallback frequency point data corresponding to a plurality of cells, and taking the actual fallback frequency point data as the actual fallback frequency point data corresponding to the target cell.

Here, the preset network quality monitoring platform may be, for example, a SEQ platform.

Taking a 5G Fallback 4G scenario as an example, the detailed Fallback data may be drilled in the SEQ platform EPS Fallback performance analysis module, and the corresponding Fallback data may be derived as the actual Fallback frequency point data. The key fields involved in the actual fallback frequency point data may include: fallback mode, call initial 5G cell, fallback handover 4G cell, S1MME TAU 4G cell, start time, end time, etc. According to the identification information of the target 5G cell, the actual fallback frequency point data of the target 5G cell, which is the initial 5G cell of the call, can be obtained from the actual fallback frequency point data of a plurality of cells, so that statistics and processing can be carried out on the data of the target 5G cell.

Based on this, the step of determining the actual frequency-falling point duty ratio according to the actual frequency-falling point data in S120 may specifically include:

counting the number of fallback times by taking a calling initial cell and a fallback switching cell as a fallback adjacent cell under the condition that the fallback mode is a switching mode aiming at each fallback frequency point, and obtaining a first counted number corresponding to each fallback frequency point respectively;

counting the number of times of fallback by taking the calling initial cell and the fallback redirection cell as the fallback neighbor cell pair under the condition of the fallback redirection mode aiming at each fallback frequency point, and obtaining second counting times respectively corresponding to each fallback frequency point;

Summing the first statistical times and the second statistical times aiming at each falling frequency point to obtain falling times respectively corresponding to each falling frequency point and total falling times corresponding to a plurality of falling frequency points;

and determining the actual falling frequency point duty ratio according to the falling times corresponding to each falling frequency point and the total falling times corresponding to the plurality of falling frequency points.

Taking a 5G fallback 4G scenario as an example, the number of fallback times between the neighboring cell pairs is obtained by processing the neighboring cell pairs that fall back from 5G to 4G according to the obtained actual fallback frequency point data. Because of the difference of fallback modes, the cells which fall back in the N26 redirection mode have no information of the fallback switching 4G cells, so the following principle is adopted for the statistics of fallback data:

when the fallback mode is an N26 switching mode, counting by taking a calling initial 5G cell (namely a target cell) and a fallback switching 4G cell as a fallback adjacent cell pair;

and when the fallback mode is the N26 redirection mode, counting by taking the calling initial 5G cell (namely the target cell) and the S1MME TAU 4G cell as the fallback neighbor cell.

And judging the fallback data and counting the fallback times based on the two principles (comprising a first counting time obtained by counting according to a first principle and a second counting time obtained by counting according to a second principle), and matching the fallback 4G cell with the fallback frequency point data in the industrial parameter to obtain the fallback times respectively corresponding to each fallback frequency point in the target cell, and finally counting and outputting the actual fallback frequency point occupation ratio.

For example, the number of times of fallback at each 4G frequency point shown in table 6 is counted:

tables 6, 5G statistics of actual fallback times in cells

Based on the above statistics table, for the 5G cell with the target cell a, based on the two principles, the sum of two statistics times determined by two fallback manners under each 4G frequency point in the 4G cells 1, 2 and 3 corresponding to the target cell a may be obtained through statistics, so that for each 4G frequency point, the corresponding fallback times are calculated, for example, the fallback times corresponding to the frequency point 1350 are 22+10=32, and the total times corresponding to all 4G frequency points, for example, the total times corresponding to all the fallback frequency points in the 5G cell a are 22+30+20+10+137=219, and based on this, the actual fallback frequency point occupation ratio corresponding to each 4G frequency point in the target 5G cell a may be calculated, for example, the occupation ratio corresponding to the frequency point 1350 is 32/219=14.61%, and the occupation ratio of other frequency points is so forth, which is concise and will not be described herein.

It should be noted that, the application scenario described in the foregoing embodiment of the present application is for more clearly describing the technical solution of the embodiment of the present application, and does not constitute a limitation on the technical solution provided by the embodiment of the present application, and as a person of ordinary skill in the art can know, with the appearance of a new application scenario, the technical solution provided by the embodiment of the present application is also applicable to similar technical problems.

Based on the same inventive concept, the application also provides a device for determining the priority of the fallback frequency point. This is described in detail with reference to fig. 2.

Fig. 2 is a schematic structural diagram of a device for determining a priority of a fallback frequency point according to an embodiment of the present application.

As shown in fig. 2, the fallback frequency point priority determining apparatus 200 may include:

the data acquisition module 201 is configured to acquire test fallback frequency point data, actual fallback frequency point data, and original priority of fallback frequency points corresponding to a target cell, where the target cell is a cell covered by a first communication network, the target cell corresponds to a plurality of fallback frequency points, and the fallback frequency points are frequency points in a second communication network;

the duty ratio determining module 202 is configured to determine a test fallback frequency point duty ratio according to the test fallback frequency point data, determine an actual fallback frequency point duty ratio according to the actual fallback frequency point data, and determine frequency point weights corresponding to the plurality of fallback frequency points respectively according to the original priority of the fallback frequency points;

the priority determining module 203 is configured to determine priorities of the plurality of fallback frequency points based on the test fallback frequency point duty ratio, the actual fallback frequency point duty ratio, and the frequency point weight.

The above-mentioned falling frequency point priority determining device x00 is described in detail below, and specifically as follows:

in some embodiments, the data acquisition module 201 includes:

In some embodiments, the duty cycle determination module 202 includes:

In some embodiments, the data acquisition module 201 includes:

In some embodiments, the duty cycle determination module 202 includes:

In some embodiments, the duty cycle determination module 202 further comprises:

In some embodiments, the priority determination module 203 includes:

A processor 301 and a memory 302 storing computer program instructions may be included in the electronic device 300.

In particular, the processor 301 may include a Central Processing Unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured as one or more integrated circuits that implement embodiments of the present application.

Memory 302 may include mass storage for data or instructions. By way of example, and not limitation, memory 302 may comprise a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. Memory 302 may include removable or non-removable (or fixed) media, where appropriate. Memory 302 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 302 is a non-volatile solid-state memory.

In particular embodiments, the memory may include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors) it is operable to perform the operations described with reference to a method in accordance with an aspect of the application.

The processor 301 reads and executes the computer program instructions stored in the memory 302 to implement any one of the fallback frequency point priority determination methods in the above embodiments.

In some examples, electronic device 300 may also include a communication interface 303 and a bus 310. As shown in fig. 3, the processor 301, the memory 302, and the communication interface 303 are connected to each other by a bus 310 and perform communication with each other.

The communication interface 303 is mainly used to implement communication between modules, apparatuses, units, and/or devices in the embodiments of the present application.

Bus 310 includes hardware, software, or both that couple the components of the online data flow billing device to each other. By way of example, and not limitation, bus 310 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a micro channel architecture (MCa) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of the above. Bus 310 may include one or more buses, where appropriate. Although embodiments of the application have been described and illustrated with respect to a particular bus, the application contemplates any suitable bus or interconnect.

By way of example, the electronic device 300 may be a cell phone, tablet computer, notebook computer, palm top computer, vehicle mounted electronic device, ultra-mobile personal computer (UMPC), netbook or personal digital assistant (personal digital assistant, PDA), or the like.

The electronic device 300 may execute the method for determining the priority of the fallback frequency point in the embodiment of the present application, thereby implementing the method and apparatus for determining the priority of the fallback frequency point described in connection with fig. 1 and fig. 2.

In addition, in combination with the method for determining the priority of the fallback frequency point in the above embodiment, the embodiment of the application can be implemented by providing a computer readable storage medium. The computer readable storage medium has stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the fall-back frequency point priority determination methods of the above embodiments. Examples of computer readable storage media include non-transitory computer readable storage media such as portable disks, hard disks, random Access Memories (RAMs), read-only memories (ROMs), erasable programmable read-only memories (EPROM or flash memories), portable compact disk read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, and the like.

It should be understood that the application is not limited to the particular arrangements and instrumentality described above and shown in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after appreciating the spirit of the present application.

The functional blocks shown in the above-described structural block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.

It should also be noted that the exemplary embodiments mentioned in this disclosure describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be performed in a different order from the order in the embodiments, or several steps may be performed simultaneously.

Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to being, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware which performs the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In the foregoing, only the specific embodiments of the present application are described, and it will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein. It should be understood that the scope of the present application is not limited thereto, and any equivalent modifications or substitutions can be easily made by those skilled in the art within the technical scope of the present application, and they should be included in the scope of the present application.

Claims

1. The method for determining the priority of the fallback frequency point is characterized by comprising the following steps:

2. The method of claim 1, wherein the obtaining test return frequency point data corresponding to the target cell comprises:

3. The method according to claim 1 or 2, wherein said determining a test back drop point duty cycle from said test back drop point data comprises:

4. The method of claim 1, wherein obtaining actual fallback frequency point data corresponding to the target cell comprises:

5. The method of claim 4, wherein said determining an actual back drop point duty cycle from said actual back drop point data comprises:

6. The method of claim 1, wherein the determining the frequency point weights corresponding to the plurality of fallback frequency points according to the original priorities of the fallback frequency points comprises:

7. The method of claim 1, wherein the determining the priorities of the plurality of fallback frequency points based on the test fallback frequency point duty cycle, the actual fallback frequency point duty cycle, and the frequency point weight comprises:

8. A fallback frequency point priority determining apparatus, characterized by comprising:

9. An electronic device, the device comprising: a processor and a memory storing computer program instructions;

the processor, when executing the computer program instructions, implements the steps of the fall-back frequency point priority determination method according to any one of claims 1-7.

10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the fallback frequency point priority determination method according to any of the claims 1-7.

11. A computer program product, characterized in that instructions in the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform the steps of the fallback frequency point priority determination method according to any of the claims 1-7.