Service-aware evaluation method and device, and storage medium

Abstract

The application provides a service-awareness evaluation method and device and a storage medium, relates to the technical field of communication, and can more accurately reflect the actual service-awareness situation of a co-construction and sharing access network device. The method comprises the following steps: determining a service-awareness inequality proportion in a target area; the service-awareness inequality proportion is a ratio of the number of co-construction and sharing cells with service-awareness inequality in the target area to the number of co-construction and sharing cells in the target area; the co-construction and sharing cell with service-awareness inequality is a co-construction and sharing cell with a difference between service-awareness of any two operators greater than a first preset threshold; the co-construction and sharing cell is a cell supporting services of at least two operators; determining a service evaluation value according to the service-awareness inequality proportion; and the service evaluation value is used for evaluating service-awareness in the target area. The embodiment of the application is used in the process of service-awareness evaluation.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a service perception evaluation method, device, and storage medium. Background Art

[0002] To effectively alleviate the pressure of high construction costs, the co-construction and sharing solution has been widely used. For co-construction and sharing access network equipment, it is necessary to make the service perception of cells of different operators roughly consistent and good as much as possible, so as to ensure the stability and continuity of the services in the access network equipment.

[0003] Currently, the overall service perception evaluation within a designated area primarily refers to metrics such as packet loss rate, call drop rate, and access success rate for all cells within the designated area. However, these evaluation methods cannot accurately reflect the service perception of co-built and shared access network equipment. Summary of the Invention

[0004] The present application provides a service perception evaluation method, device and storage medium, which can more accurately reflect the actual service perception of co-built and shared access network equipment.

[0005] To achieve the above objectives, this application adopts the following technical solutions:

[0006] In the first aspect, the present application provides a service perception evaluation method, which includes: determining the service perception inequality ratio within the target area; the service perception inequality ratio is the ratio of the number of shared cells with service perception inequality in the target area to the number of shared cells in the target area; the shared cells with service perception inequality are shared cells in which the difference in service perception of any two operators is greater than a first preset threshold; the shared cells are cells that support the services of at least two operators; determining a service evaluation value based on the service perception inequality ratio; the service evaluation value is used to evaluate the service perception in the target area.

[0007] In one possible implementation, the service perception inequality ratio includes: the service perception inequality ratio of 5G fifth-generation mobile communication technology and the service perception inequality ratio of 4G fourth-generation mobile communication technology; the 5G service perception inequality ratio is the ratio of the number of 5G shared cells with service perception inequality in the target area to the number of 5G shared cells in the target area; the 5G shared cells with service perception inequality are 5G shared cells in which the difference in service perception of any two operators is greater than the second preset threshold; the 4G service perception inequality ratio is the ratio of the number of 4G shared cells with service perception inequality in the target area to the number of 4G shared cells in the target area; the 4G shared cells with service perception inequality are 4G shared cells in which the difference in service perception of any two operators is greater than the third preset threshold.

[0008] In a possible implementation, the service evaluation value is determined according to the service perception asymmetry ratio, including: determining the 5G service perception difference ratio, the 4G service perception difference ratio, and the 5G high fallback ratio in the target area; the 5G service perception difference ratio is the ratio of the number of 5G shared cells with service perception less than or equal to the fourth preset threshold to the number of 5G shared cells in the target area; the 4G service perception difference ratio is the ratio of the number of 4G shared cells with service perception less than or equal to the fifth preset threshold to the number of 4G shared cells in the target area; the 5G high fallback is the ratio of the number of 5G shared cells with a switching rate greater than the sixth preset threshold to the number of 5G shared cells in the target area; the switching rate is the ratio of the number of 5G shared cells with a switching rate greater than the sixth preset threshold to the number of 5G shared cells in the target area; The ratio of the number of switches from the 5G network to the 4G network to the sum of the number of switches from the 5G network to the 4G network and the number of switches from the 4G network to the 5G network for the target terminal device; the target terminal device includes one or more terminal devices in the 5G shared cell; the service evaluation value is determined according to the 5G service perception unequal ratio, the 4G service perception unequal ratio, the 5G service perception poor ratio, the 4G service perception poor ratio, the 5G high fallback ratio, the weight value corresponding to the 5G service perception unequal ratio, the weight value corresponding to the 4G service perception unequal ratio, the weight value corresponding to the 5G service perception poor ratio, the weight value corresponding to the 4G service perception poor ratio, and the weight value corresponding to the 5G high fallback ratio.

[0009] In one possible implementation, the service evaluation value satisfies the following formula:

[0010] BV=α1×b1+α2×b2+α3×b3+α4×b4+α5×b5

[0011] Among them, BV is the service evaluation value; α1 is the weight corresponding to the 5G service perception unequal ratio; b1 is the 5G service perception unequal ratio; α2 is the weight corresponding to the 4G service perception unequal ratio; b2 is the 4G service perception unequal ratio; α3 is the weight corresponding to the 5G service perception poor ratio; b3 is the 5G service perception poor ratio; α4 is the weight corresponding to the 4G service perception poor ratio; b4 is the 4G service perception poor ratio; α5 is the weight corresponding to the 5G high fallback ratio; b5 is the 5G high fallback ratio.

[0012] In one possible implementation, determining the 5G service perception inequality ratio in the target area includes: determining the number of preset shared cells in the target area; the preset shared cell is a 5G shared cell, or the preset shared cell is a 4G shared cell; performing the following operations on each preset shared cell in the target area to obtain the number of preset shared cells with service perception inequality: when the difference between the service perceptions of any two operators in the target cell is greater than or equal to a first preset threshold, determining the target cell as a preset shared cell with service perception inequality; the target cell is any one of the multiple preset shared cells in the target area; determining that the ratio of the number of preset shared cells with service perception inequality in the target area to the number of preset shared cells is the target service perception inequality ratio.

[0013] In one possible implementation, the method also includes: determining at least one first indicator at a first moment, and at least one first indicator at a second moment; the at least one first indicator includes: the number of 5G shared cells with unequal service perception, the number of 4G shared cells with unequal service perception, the number of 5G shared cells with poor service perception, the number of 4G shared cells with poor service perception, and the number of 5G shared cells with high fallback; determining the problem cell resolution rate based on the at least one first indicator at the first moment, and the at least one first indicator at the second moment; the problem cell resolution rate is used to indicate the efficiency of resolving problem cells in the target area.

[0014] In one possible implementation, the problem cell resolution rate satisfies the following formula:

[0015]

[0016] Where SQ is the problem cell resolution rate; L is the number of at least one first indicator; i is a positive integer less than or equal to L; N i is the first index of i at the first moment; M i is the first index of the i-th at the second moment; α i is the weight value corresponding to the i-th first indicator.

[0017] In the second aspect, the present application provides a service perception evaluation device, which includes: a processing unit; a processing unit for determining the service perception inequality ratio within the target area; the service perception inequality ratio is the ratio of the number of shared cells with service perception inequality in the target area to the number of shared cells in the target area; a shared cell with service perception inequality is a shared cell in which the difference in service perception of any two operators is greater than a first preset threshold; a shared cell is a cell that supports the services of at least two operators; the processing unit is also used to determine a service evaluation value based on the service perception inequality ratio; the service evaluation value is used to evaluate the service perception in the target area.

[0018] In one possible implementation, the service perception inequality ratio includes: the service perception inequality ratio of 5G fifth-generation mobile communication technology and the service perception inequality ratio of 4G fourth-generation mobile communication technology; the 5G service perception inequality ratio is the ratio of the number of 5G shared cells with service perception inequality in the target area to the number of 5G shared cells in the target area; the 5G shared cells with service perception inequality are 5G shared cells in which the difference in service perception of any two operators is greater than the second preset threshold; the 4G service perception inequality ratio is the ratio of the number of 4G shared cells with service perception inequality in the target area to the number of 4G shared cells in the target area; the 4G shared cells with service perception inequality are 4G shared cells in which the difference in service perception of any two operators is greater than the third preset threshold.

[0019] In one possible implementation, the processing unit is specifically used to determine the 5G service perception difference ratio, the 4G service perception difference ratio, and the 5G high fallback ratio in the target area; the 5G service perception difference ratio is the ratio of the number of 5G shared cells whose service perception in the target area is less than or equal to the fourth preset threshold to the number of 5G shared cells; the 4G service perception difference ratio is the ratio of the number of 4G shared cells whose service perception in the target area is less than or equal to the fifth preset threshold to the number of 4G shared cells; the 5G high fallback is the ratio of the number of 5G shared cells whose switching rate in the target area is greater than the sixth preset threshold to the number of 5G shared cells; the switching rate is the ratio of the target terminal device switching from the 5G network to the 4G network the target terminal device includes one or more terminal devices in the 5G shared cell; the processing unit is specifically used to determine the service evaluation value according to the 5G service perception unequal ratio, the 4G service perception unequal ratio, the 5G service perception poor ratio, the 4G service perception poor ratio, the 5G high fallback ratio, the weight value corresponding to the 5G service perception unequal ratio, the weight value corresponding to the 4G service perception unequal ratio, the weight value corresponding to the 5G service perception poor ratio, the weight value corresponding to the 4G service perception poor ratio, and the weight value corresponding to the 5G high fallback ratio.

[0020] In one possible implementation, the service evaluation value satisfies the following formula:

[0021] BV=α1×b1+α2×b2+α3×b3+α4×b4+α5×b5

[0022] Among them, BV is the service evaluation value; α1 is the weight corresponding to the 5G service perception unequal ratio; b1 is the 5G service perception unequal ratio; α2 is the weight corresponding to the 4G service perception unequal ratio; b2 is the 4G service perception unequal ratio; α3 is the weight corresponding to the 5G service perception poor ratio; b3 is the 5G service perception poor ratio; α4 is the weight corresponding to the 4G service perception poor ratio; b4 is the 4G service perception poor ratio; α5 is the weight corresponding to the 5G high fallback ratio; b5 is the 5G high fallback ratio.

[0023] In one possible implementation, the processing unit is specifically used to determine the number of preset shared cells in the target area; the preset shared cell is a 5G shared cell, or the preset shared cell is a 4G shared cell; the processing unit is specifically used to perform the following operations on each preset shared cell in the target area to obtain the number of preset shared cells with unequal service perception: when the difference between the service perceptions of any two operators in the target cell is greater than or equal to a first preset threshold, the target cell is determined to be a preset shared cell with unequal service perception; the target cell is any one of the multiple preset shared cells in the target area; the processing unit is specifically used to determine that the ratio of the number of preset shared cells with unequal service perception in the target area to the number of preset shared cells is the target service perception inequality ratio.

[0024] In one possible implementation, the processing unit is further used to determine at least one first indicator at a first moment and at least one first indicator at a second moment; the at least one first indicator includes: the number of 5G shared cells with unequal service perception, the number of 4G shared cells with unequal service perception, the number of 5G shared cells with poor service perception, the number of 4G shared cells with poor service perception, and the number of 5G shared cells with high fallback; the processing unit is further used to determine the problem cell resolution rate based on the at least one first indicator at the first moment and the at least one first indicator at the second moment; the problem cell resolution rate is used to indicate the efficiency of resolving problem cells in the target area.

[0025] In one possible implementation, the problem cell resolution rate satisfies the following formula:

[0026]

[0027] Where SQ is the problem cell resolution rate; L is the number of at least one first indicator; i is a positive integer less than or equal to L; N i is the first index of i at the first moment; M i is the first index of the i-th at the second moment; α i is the weight value corresponding to the i-th first indicator.

[0028] In a third aspect, the present application provides a business perception evaluation device, which includes: a processor and a communication interface; the communication interface and the processor are coupled, and the processor is used to run a computer program or instructions to implement the business perception evaluation method described in the first aspect and any possible implementation method of the first aspect.

[0029] In a fourth aspect, the present application provides a computer-readable storage medium, which stores instructions. When the instructions are executed on a terminal, the terminal executes the service perception evaluation method described in the first aspect and any possible implementation of the first aspect.

[0030] In a fifth aspect, the present application provides a computer program product comprising instructions, which, when run on a business awareness assessment device, enables the business awareness assessment device to perform the business awareness assessment method as described in the first aspect and any possible implementation of the first aspect.

[0031] In a sixth aspect, the present application provides a chip, which includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run a computer program or instructions to implement the business perception evaluation method described in the first aspect and any possible implementation method of the first aspect.

[0032] Specifically, the chip provided in this application also includes a memory for storing computer programs or instructions.

[0033] The above technical solution brings at least the following beneficial effects: the service perception evaluation method provided by this application, the service perception evaluation method provided by this application, the computing device first determines the service perception inequality ratio in the target area, and determines the service evaluation value based on the service perception inequality ratio. Therefore, in the process of determining the service evaluation value for evaluating the service perception in the target area, this application refers to the service perception inequality ratio, so that the service evaluation value can evaluate whether the service perception in the co-built and shared access network equipment is equal, and then the service evaluation value can more truly reflect the actual service perception of the co-built and shared access network equipment in the target area, which is convenient for the subsequent adaptive processing of the service perception of the co-built and shared access network equipment in the target area, and ensures the service perception equality of the co-built and shared access network equipment in the target area as much as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A structural diagram of a communication system provided in an embodiment of the present application;

[0035] Figure 2 A flowchart of a service perception evaluation method provided in an embodiment of the present application;

[0036] Figure 3 A flowchart of another service perception evaluation method provided in an embodiment of the present application;

[0037] Figure 4 A flowchart of another service perception evaluation method provided in an embodiment of the present application;

[0038] Figure 5 A flowchart of another service perception evaluation method provided in an embodiment of the present application;

[0039] Figure 6 A schematic diagram of the structure of a service perception evaluation device provided in an embodiment of the present application;

[0040] Figure 7 A schematic diagram of the structure of a service perception evaluation device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] The service perception evaluation method and device provided in the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0042] The term "and / or" in this article is merely a description of the association relationship between associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0043] The terms "first" and "second" and the like in the specification and drawings of this application are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

[0044] Furthermore, the terms "including," "having," and any variations thereof, as used in the description of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to the process, method, product, or apparatus.

[0045] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present related concepts in a illustrative manner.

[0046] In the description of the present application, unless otherwise specified, “plurality” means two or more.

[0047] The following explains the terms involved in the embodiments of the present application to facilitate readers' understanding.

[0048] 1. Co-construction and sharing

[0049] Co-construction and sharing can include passive sharing and active sharing. Passive co-construction and sharing refers to sharing only basic equipment (such as optical fibers, pipelines, etc.). Active sharing refers to sharing all or part of the wireless access network equipment.

[0050] With the rapid development of the fifth generation mobile communication technology (5G) network, the number of deployed 5G access network equipment has also increased. Compared with the fourth generation mobile communication technology (4G) access network equipment, 5G access network equipment has the characteristics of higher cost, greater energy consumption, and smaller coverage. Therefore, the deployment of 5G access network equipment will bring huge investment and operating cost pressures to operators. In this case, co-construction and sharing can effectively alleviate the investment pressure of 5G access network equipment, play a positive role in promoting the deployment of large-bandwidth, large-capacity, and high-performance 5G access network equipment, and thus improve the coverage level of 5G network to a certain extent.

[0051] 2. Access Network Sharing Solution

[0052] As one of the aforementioned active sharing solutions, the access network sharing solution allows different operators to share a single access network device. This solution allows a single access network device to carry carriers from multiple operators, thus avoiding redundant network equipment deployment and reducing network construction costs for operators.

[0053] In a shared access network scenario, the shared access network device needs to simultaneously broadcast signals from at least two different public land mobile networks (PLMNs). To ensure that the performance of different operators of the shared access network device remains generally consistent and excellent, the at least two different operators use the same cell-level characteristic parameters, quality of service (QoS) policies, network kernel programming interfaces (KPIs), and network evaluation requirements. The information such as the cell-level characteristic parameters, QoS policies, network KPIs, and network evaluation requirements needs to be negotiated and determined between the at least two different operators.

[0054] The implementation process of the terminal device accessing the above-mentioned shared access network device is as follows: the terminal device accesses the shared access network device by identifying the PLMN to which it belongs, and the shared access network device connects the terminal device to the core network device where the terminal device is registered according to the PLMN information carried by the terminal device.

[0055] 3. Number of cell access times

[0056] The number of cell accesses is the number of times at least one terminal device successfully accesses the cell within a preset time period. In this case, the preset time period can be any time period, for example, the entire month of January 20XX.

[0057] It should be noted that since cells can be classified as 5G cells or 4G cells, the following two scenarios can be considered: Scenario 1: The cell is a 5G cell; Scenario 2: The cell is a 4G cell. In each scenario, the calculation device uses different indicators to count the number of cell accesses. The following describes the implementation process for counting cell accesses for different cell standards.

[0058] Case 1: The cell is a 5G cell.

[0059] In case 1, the types of the above-mentioned 5G cells include: non-standalone (NSA) single-mode cells, standalone (SA) single-mode cells, and NSA / SA dual-mode cells. The above types can be divided into three cases: case 1.1, the 5G cell is an NSA single-mode cell; case 1.2, the 5G cell is an SA single-mode cell; case 1.3, the 5G cell is an NSA / SA dual-mode cell. In different cases, the indicators used by the calculation device to count the number of cell accesses are different. The following describes the implementation process of counting the number of cell accesses for different types of 5G cells.

[0060] Case 1.1: The 5G cell is an NSA single-mode cell.

[0061] In case 1.1, the computing device may determine the number of cell accesses by counting the number of secondary gNodeB (SgNB) addition requests.

[0062] Case 1.2: The 5G cell is an SA single-mode cell.

[0063] In case 1.2, the computing device may determine the number of cell accesses by the number of radio resource control (RRC) connection requests.

[0064] Case 1.3: The 5G cell is an NSA / SA dual-mode cell.

[0065] In case 1.3, the computing device can determine the number of cell accesses through the number of SgNB addition requests and the number of RRC connection requests.

[0066] In one possible implementation, in the above situation 1.3, the number of cell access requests may be the sum of the number of SgNB addition requests and the number of RRC connection requests.

[0067] Case 2: The cell is a 4G cell.

[0068] In case 2, the computing device may determine the number of cell accesses by the number of RRC connection requests.

[0069] 4. Number of cell releases

[0070] The number of cell releases is the number of times at least one terminal device has accessed the cell but failed to access within a preset time period. In this case, the preset time period can be any time period, for example, the entire month of February 20XX.

[0071] It should be noted that in different situations, the calculation device uses different indicators to count the number of cell releases. Combining the above situation 1 (Situation 1 includes situation 1.1, situation 1.2, and situation 1.3) and situation 2, the implementation process of counting the number of cell releases is described respectively.

[0072] Case 1.1: The 5G cell is an NSA single-mode cell.

[0073] In case 1.1, the computing device can determine the number of cell releases by the total number of SgNB releases triggered by the SgNB.

[0074] Case 1.2: The 5G cell is an SA single-mode cell.

[0075] In case 1.2, the computing device may determine the number of cell releases according to the total number of UE context releases.

[0076] Case 1.3: The 5G cell is an NSA / SA dual-mode cell.

[0077] In case 1.3, the computing device can determine the number of cell releases through the total number of SgNB releases triggered by the SgNB and the total number of UE context releases.

[0078] In one possible implementation, in the above situation 1.3, the number of cell releases may be the sum of the total number of SgNB releases triggered by the SgNB and the total number of user equipment (UE) context releases.

[0079] Case 2: The cell is a 4G cell.

[0080] In case 2, the computing device may determine the number of cell releases according to the total number of UE context releases.

[0081] 5. Average downlink traffic during busy hours in the cell

[0082] The average downlink traffic volume during the cell's busy hour is the average of the traffic volume used by at least one terminal device during downlink transmission during a preset time period. In this case, the preset time period can be at least the busy hour of each day (i.e., the time period with the highest peak traffic volume), for example, the busy hour of each day from January 1, 20XX to January 31, 20XX.

[0083] For different types of cells, the downlink self-busy hour average traffic flow index used in statistics of the cell's downlink self-busy hour is the downlink cell self-busy hour average traffic flow index. For example, the downlink self-busy hour average traffic flow index of an NSA single-mode cell is calculated based on the downlink self-busy hour average traffic flow of the NSA single-mode cell; for another example, the downlink self-busy hour average traffic flow index of an NSA / SA dual-mode cell is calculated based on the downlink self-busy hour average traffic flow of the NSA / SA dual-mode cell.

[0084] 6. Average User Perceived Downlink Rate in a Cell

[0085] The average downlink rate perceived by users in a cell refers to the average downlink rate perceived by all terminal devices accessing the cell.

[0086] The average perceived downlink rate of users in a cell satisfies the following formula 1:

[0087] Aa=(a1-a2) / a3 Formula 1

[0088] Where Aa is the average perceived downlink rate for users in the cell. a1 is the number of bytes of radio link control (RLC) user-plane service data units (SDUs) successfully sent downlink by all terminal devices connected to the cell. a2 is the number of bytes of RLC user-plane SDUs successfully sent in the last slot by all terminal devices connected to the cell before the buffer is cleared. a1 is the downlink RLC buffer duration for DRB activation for all terminal devices connected to the cell.

[0089] It should be noted that the average perceived downlink rate of users in the above-mentioned cell can be used to determine whether the cell has poor service perception. For example, if the average perceived downlink rate of users in the cell is less than or equal to threshold #1, the cell is considered to have poor service perception. If the average perceived downlink rate of users in the cell is greater than threshold #1, the cell is considered to have good service perception.

[0090] Optionally, cells of different standards may correspond to different thresholds #1, or may correspond to the same threshold #1. For example, in the case of a 5G cell, the threshold #1 may be set to the average perceived downlink rate of users in a 100MHz bandwidth cell of a time division duplexing (TDD) system; in the case of a 4G cell, the threshold #1 may be set to the average perceived downlink rate of users in a 200MHz bandwidth cell of a frequency division duplexing (FDD) system.

[0091] 7. Cell access success rate

[0092] The cell access success rate is the ratio of the number of cell accesses within a preset time period to the sum of the number of cell accesses and the number of cell releases within the preset time period.

[0093] It should be noted that in different situations, the indicators used by the calculation device to calculate the cell access success rate are different. Combining the above situation 1 (Situation 1 includes situation 1.1, situation 1.2, and situation 1.3) and situation 2, the implementation process of calculating the cell access success rate is described respectively.

[0094] Case 1.1: The 5G cell is an NSA single-mode cell.

[0095] In case 1.1, the computing device can determine the cell access success rate through the SgNB addition success rate.

[0096] Case 1.2: The 5G cell is an SA single-mode cell.

[0097] In case 1.2, the computing device may determine the cell access success rate through the wireless access success rate.

[0098] Case 1.3: The 5G cell is an NSA / SA dual-mode cell.

[0099] In case 1.3, the computing device can determine the cell access success rate through the SgNB addition success rate and the wireless access success rate.

[0100] It should be noted that when the SgNB addition success rate is 0 and the wireless access success rate is not 0, the cell access success rate is the wireless access success rate.

[0101] When the SgNB addition success rate is not 0 and the wireless access success rate is 0, the cell access success rate is the SgNB addition success rate.

[0102] When the SgNB addition success rate is not 0 and the number of SgNB normal releases triggered by 5G coverage reasons is 0, the cell access success rate satisfies the following formula 2:

[0103] Bb=B1×(B2 / (B2+B3))+B4×(B3 / (B2+B3)) Formula 2

[0104] Where, Bb is the cell access success rate. B1 is the SgNB addition success rate. B2 is the number of SgNB addition requests. B3 is the number of RRC connection requests. B4 is the radio access success rate.

[0105] It should be noted that the above cell access success rate can be used to determine whether the cell has poor service perception. Combining the above situation 1 (situation 1 includes situation 1.1, situation 1.2, and situation 1.3) and situation 2, the implementation process of determining whether the cell has poor service perception is described respectively.

[0106] Case 1.1: The 5G cell is an NSA single-mode cell.

[0107] In scenario 1.1, the computing device may first obtain the SgNB addition success rate for the 5G cell from the network management system and then determine the cell access success rate based on the SgNB addition success rate. The computing device then determines whether the cell access success rate is less than threshold #2 (e.g., 98%). If the cell access success rate is less than threshold #2, the computing device may determine that the service perception of the 5G cell is poor. If the cell access success rate is greater than or equal to threshold #2, the computing device may determine that the service perception of the 5G cell is good.

[0108] Case 1.2: The 5G cell is an SA single-mode cell.

[0109] In scenario 1.2, the computing device can first obtain the wireless access success rate of the 5G cell from the network management system, and then determine the cell access success rate based on the wireless access success rate. The computing device determines whether the cell access success rate is less than threshold #2. If the cell access success rate is less than threshold #2, the computing device can determine that the service perception of the 5G cell is poor. If the cell access success rate is greater than or equal to threshold #2, the computing device can determine that the service perception of the 5G cell is good.

[0110] Case 1.3: The 5G cell is an NSA / SA dual-mode cell.

[0111] In scenario 1.3, the computing device may first obtain the SgNB addition success rate and / or wireless access success rate of the 5G cell from the network management system, and then determine the cell access success rate based on the SgNB addition success rate and / or wireless access success rate. The computing device then determines whether the cell access success rate is less than threshold #2. If the cell access success rate is less than threshold #2, the computing device may determine that the service perception of the 5G cell is poor. If the cell access success rate is greater than or equal to threshold #2, the computing device may determine that the service perception of the 5G cell is good.

[0112] Case 2: The cell is a 4G cell.

[0113] In case 2, the computing device can first obtain the RRC connection establishment success rate and eRAB connection rate of the 4G cell from the network management system, and then determine the cell access success rate based on the above RRC connection establishment success rate and eRAB connection rate. The computing device determines whether the above cell access success rate is less than threshold #3. If the cell access success rate is less than threshold #3, the computing device can determine that the service perception of the 4G cell is poor; if the number of cell access times is greater than or equal to threshold #3, the computing device can determine that the service perception of the 4G cell is good.

[0114] 8. Abnormal Release Rate of Cells

[0115] The abnormal cell release rate is the ratio of the number of cell releases within a preset time period to the sum of the number of cell accesses and the number of cell releases within the preset time period.

[0116] It should be noted that in different situations, the indicators used by the calculation device to calculate the abnormal cell release rate are different. Combining the above situation 1 (Situation 1 includes situation 1.1, situation 1.2, and situation 1.3) and situation 2, the implementation process of calculating the abnormal cell release rate is described respectively.

[0117] Case 1.1: The 5G cell is an NSA single-mode cell.

[0118] In case 1.1, the computing device can determine the cell abnormal release rate through the SgNB abnormal release ratio.

[0119] Case 1.2: The 5G cell is an SA single-mode cell.

[0120] In case 1.2, the computing device may determine the abnormal cell release rate according to the UE context drop rate.

[0121] Case 1.3: The 5G cell is an NSA / SA dual-mode cell.

[0122] In case 1.3, the computing device can determine the cell abnormal release rate through the SgNB abnormal release ratio and the UE context drop rate.

[0123] It should be noted that when the SgNB abnormal release rate is 0 and the UE context drop rate is not 0, the cell abnormal release rate is the wireless access success rate.

[0124] When the SgNB abnormal release rate is not 0 and the UE context drop rate is 0, the cell abnormal release rate is the SgNB addition success rate.

[0125] When the SgNB abnormal release ratio is not 0 and the UE context drop rate is not 0, the cell abnormal release rate satisfies the following formula 3:

[0126] Cc=(C1×(C2 / (C2+C3))+C4×(C3 / (C2+C3)))×100% Formula 3

[0127] Where Cc is the cell abnormal release rate. C1 is the SgNB abnormal release rate. C2 is the number of SgNB releases triggered by the SgNB. C3 is the total number of UE context releases. C4 is the UE context drop rate.

[0128] Case 2: The cell is a 4G cell.

[0129] In case 2, the computing device may determine the abnormal cell release rate according to the UE context drop rate.

[0130] It should be noted that the abnormal cell release rate can be used to determine whether the cell has poor service perception. Combining the above situation 1 (situation 1 includes situation 1.1, situation 1.2, and situation 1.3) and situation 2, the implementation process of determining whether the cell has poor service perception is described respectively.

[0131] Case 1.1: The 5G cell is an NSA single-mode cell.

[0132] In scenario 1.1, the computing device may first obtain the SgNB addition success rate of the 5G cell from the network management system, and then determine the cell abnormal release rate based on the SgNB addition success rate. The computing device determines whether the cell abnormal release rate is greater than or equal to threshold #4 (e.g., 2%). If the cell abnormal release rate is greater than or equal to threshold #4, the computing device may determine that the service perception of the 5G cell is poor. If the cell abnormal release rate is less than threshold #4, the computing device may determine that the service perception of the 5G cell is good.

[0133] Case 1.2: The 5G cell is an SA single-mode cell.

[0134] In scenario 1.2, the computing device can first obtain the wireless access success rate of the 5G cell from the network management system, and then determine the cell abnormal release rate based on the wireless access success rate. The computing device determines whether the cell abnormal release rate is greater than or equal to threshold #4. If the cell abnormal release rate is greater than or equal to threshold #4, the computing device can determine that the service perception of the 5G cell is poor. If the cell abnormal release rate is less than threshold #4, the computing device can determine that the service perception of the 5G cell is good.

[0135] Case 1.3: The 5G cell is an NSA / SA dual-mode cell.

[0136] In scenario 1.3, the computing device may first obtain the SgNB addition success rate and / or wireless access success rate of the 5G cell from the network management system, and then determine the cell abnormal release rate based on the SgNB addition success rate and / or wireless access success rate. The computing device then determines whether the cell abnormal release rate is greater than or equal to threshold #4. If so, the computing device may determine that the service perception of the 5G cell is poor. If the cell abnormal release rate is less than threshold #4, the computing device may determine that the service perception of the 5G cell is good.

[0137] Case 2: The cell is a 4G cell.

[0138] In scenario 2, the computing device can first obtain the wireless access success rate of the 4G cell from the network management system, and then determine the cell abnormal release rate based on the wireless access success rate. The computing device determines whether the cell abnormal release rate is greater than or equal to threshold #4. If the cell abnormal release rate is greater than or equal to threshold #4, the computing device can determine that the service perception of the 4G cell is poor. If the cell abnormal release rate is less than threshold #4, the computing device can determine that the service perception of the 4G cell is good.

[0139] The above is a brief introduction to some of the concepts involved in the embodiments of this application.

[0140] like Figure 1 As shown, Figure 1 The structure diagram of a communication system provided by an embodiment of the present application is shown. The communication system may include: at least one access network device 101, at least one terminal device 102, and at least one computing device 103. Figure 1 An access network device 101, a terminal device 102, and a computing device 103 are taken as an example for description.

[0141] It should be noted that Figure 1 This is just an illustrative framework diagram. Figure 1 The number of nodes included in is unlimited, and Figure 1In addition to the functional nodes shown, other nodes may also be included, such as core network equipment, gateway equipment, application servers, etc., without limitation.

[0142] The access network device 101 is mainly used to implement functions such as resource scheduling, wireless resource management, and wireless access control of the terminal device 102. Optionally, the access network device 101 can be any of a small base station, a wireless access point, a transmission receive point (TRP), a transmission point (TP), and some other access nodes.

[0143] The terminal device 102 is located within the coverage of the access network device 101, is connected to the access network device 101, and can report a measurement report (MR) to the access network device 101. The terminal device 102 can be a terminal (terminal equipment) or user equipment (user equipment, UE) or a mobile station (mobile station, MS) or a mobile terminal (mobile terminal, MT), etc. Optionally, the terminal device 102 can be a mobile phone, a tablet computer or a computer with wireless transceiver function, and can also be a virtual reality (VR) terminal, an augmented reality (AR) terminal, a wireless terminal in industrial control, a wireless terminal in unmanned driving, a wireless terminal in telemedicine, a wireless terminal in a smart grid, a wireless terminal in a smart city, a smart home, a vehicle-mounted terminal, etc. In the embodiment of the present application, the device for realizing the function of the terminal device 102 can be the terminal device 102, or it can be a device that can support the terminal device 102 to realize the function, such as a chip system.

[0144] The computing device 103 is used to determine the 5G service perception inequality ratio and the 4G service perception inequality ratio in the target area, and determine the service evaluation value based on the 5G service perception inequality ratio and the 4G service perception inequality ratio; the service evaluation value is used to evaluate the service perception in the target area.

[0145] In actual applications, the computing device 103 can be a physical server of a communication operator, or a virtual server of a communication operator, such as a cloud server.

[0146] In addition, the communication system described in the embodiment of the present application is intended to more clearly illustrate 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. Ordinary technicians in this field can know that with the evolution of network architecture and the emergence of new communication systems, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems.

[0147] To effectively alleviate the pressure of high construction costs, the co-construction and sharing solution has been widely used. For co-construction and sharing access network equipment, it is necessary to make the service perception of cells of different operators roughly consistent and good as much as possible, so as to ensure the stability and continuity of the services in the access network equipment.

[0148] Currently, the overall service perception evaluation within a designated area primarily refers to metrics such as packet loss rate, call drop rate, and access success rate for all cells within the designated area. However, these evaluation methods cannot accurately reflect the service perception of co-built and shared access network equipment.

[0149] In order to solve the problems existing in the above-mentioned prior art, the embodiment of the present application proposes a service perception evaluation method, which can more realistically reflect the actual service perception of the co-built and shared access network equipment. Figure 2 As shown, the method includes:

[0150] S201: A computing device determines a service perception asymmetry ratio in a target area.

[0151] The service perception inequality ratio is the ratio of the number of shared cells with service perception inequality to the number of shared cells in the target area. A shared cell with service perception inequality is a shared cell in which the difference in service perception between any two operators is greater than a first preset threshold. A shared cell is a cell that supports services of at least two operators.

[0152] In one possible implementation, the service perception inequality ratio includes: a 5G service perception inequality ratio and a 4G service perception inequality ratio. The 5G service perception inequality ratio is the ratio of the number of 5G shared cells with service perception inequality in the target area to the number of 5G shared cells in the target area. A 5G shared cell with service perception inequality is a 5G shared cell in which the difference in service perception of any two operators is greater than a second preset threshold. The 4G service perception inequality ratio is the ratio of the number of 4G shared cells with service perception inequality in the target area to the number of 4G shared cells in the target area. A 4G shared cell with service perception inequality is a 4G shared cell in which the difference in service perception of any two operators is greater than a third preset threshold.

[0153] As an optional implementation method, the computing device determines the 5G service perception inequality ratio as follows: the computing device may first obtain indicator information of at least one 5G shared cell in the target area from the network system, and determine whether the service perception of each 5G shared cell in the at least one 5G shared cell is equal based on the indicator information of the at least one 5G shared cell, and then determine the number of 5G shared cells with unequal service perception in the at least one 5G shared cell. The computing device determines the ratio of the number of 5G shared cells with unequal service perception to the number of the at least one 5G shared cell as the 5G service perception inequality ratio.

[0154] Optionally, the implementation process of determining the unequal ratio of 4G service perception can be understood by referring to the above-mentioned implementation process of determining the unequal ratio of 5G service perception, which will not be repeated here.

[0155] It should be noted that the 5G cells and 4G cells recorded in this application are both shared cells.

[0156] S202. The computing device determines a service evaluation value according to the service perception asymmetry ratio.

[0157] The service evaluation value is used to evaluate the service perception in the target area.

[0158] As an optional implementation method, the implementation process of the above S202 is: the computing device can first determine other ratios (for example, the 5G service perception difference ratio, the 4G service perception difference ratio, and the 5G high fallback ratio), and then combine the above other ratios with the service perception unequal ratio determined by the above S201 to determine the service evaluation value.

[0159] The above technical solution brings at least the following beneficial effects: In the service perception evaluation method provided by the present application, the computing device first determines the service perception inequality ratio in the target area, and determines the service evaluation value based on the service perception inequality ratio. Therefore, in the process of determining the service evaluation value for evaluating the service perception in the target area, the present application refers to the service perception inequality ratio, so that the service evaluation value can evaluate whether the service perception in the co-built and shared access network equipment is equal, and thus the service evaluation value can more truly reflect the actual service perception of the co-built and shared access network equipment in the target area, which is convenient for the subsequent adaptive processing of the service perception of the co-built and shared access network equipment in the target area, and ensures the service perception equality of the co-built and shared access network equipment in the target area as much as possible.

[0160] In an optional embodiment, as shown in S202, the computing device determines the service evaluation value according to the service perception asymmetry ratio. Figure 2Based on the method embodiment shown, a possible implementation is provided, such as Figure 3 As shown, the implementation process of the computing device determining the service evaluation value according to the service perception unequal ratio can be determined by the following S301 to S302.

[0161] S301. The computing device determines a 5G service perception poor ratio, a 4G service perception poor ratio, and a 5G high fallback ratio in a target area.

[0162] Among them, the 5G service perception difference ratio is the ratio of the number of 5G shared cells whose service perception is less than or equal to the fourth preset threshold to the number of 5G shared cells in the target area. The 4G service perception difference ratio is the ratio of the number of 4G shared cells whose service perception is less than or equal to the fifth preset threshold to the number of 4G shared cells in the target area. 5G high fallback is the ratio of the number of 5G shared cells whose switching rate is greater than the sixth preset threshold to the number of 5G shared cells in the target area. The switching rate is the ratio of the number of times the target terminal device switches from the 5G network to the 4G network to the sum of the number of times the target terminal device switches from the 5G network to the 4G network and the number of times the target terminal device switches from the 4G network to the 5G network. The target terminal device includes one or more terminal devices of the 5G shared cell. As an optional implementation method, the implementation process of the computing device determining the 5G service perception difference ratio is as follows: the computing device can first obtain the indicator information of at least one 5G shared cell in the target area from the network system, and based on the indicator information of the at least one 5G shared cell, determine whether the service perception of each 5G shared cell in the at least one 5G shared cell is less than or equal to the fourth preset threshold value. If so, the 5G shared cell is determined to be a 5G shared cell with poor service perception, and then the number of 5G shared cells with poor service perception in the at least one 5G shared cell is determined. The computing device determines the 5G service perception difference ratio based on the number of 5G shared cells with poor service perception and the number of the at least one 5G shared cell.

[0163] Optionally, the computing device may determine whether the 5G cell is a 5G cell with poor service perception based on the above-mentioned cell access success rate and / or cell abnormal release rate. The implementation process of the computing device determining whether the 5G cell is a 5G cell with poor service perception based on the above-mentioned cell access success rate and / or cell abnormal release rate can be understood by referring to the description of the corresponding position above, and will not be repeated here.

[0164] Optionally, the implementation process of determining the 4G service perception difference ratio can be understood by referring to the above-mentioned implementation process of determining the 5G service perception difference ratio, which will not be repeated here.

[0165] It is understandable that the computing device can determine the cells with poor service perception in the target area and process the cells with poor service perception in a timely manner to avoid user complaints due to poor service perception and ensure that the user's service perception is in a good range as much as possible.

[0166] It should be noted that in different situations, the indicators used to calculate the switching rate of the computing device are different. Combining the above situation 1 (Situation 1 includes situation 1.1, situation 1.2, and situation 1.3) and situation 2, the implementation process of the switching rate statistics is described respectively.

[0167] Case 1.1: The 5G cell is an NSA single-mode cell.

[0168] In case 1.1, the computing device can determine the handover rate of the NSA single-mode cell based on the number of SgNB releases triggered by 5G coverage issues, the number of SgNB releases requested by the master eNodeB (MeNB), and the number of SgNB releases. The handover rate of the NSA single-mode cell satisfies the following formula 4:

[0169] Dd=d1 / (d2+d3)×100% Formula 4

[0170] Where Dd is the handover rate of NSA single-mode cells. d1 is the number of SgNB releases triggered by 5G coverage issues. d2 is the number of SgNB releases requested by the MeNB. d3 is the number of SgNB releases.

[0171] Case 1.2: The 5G cell is an SA single-mode cell.

[0172] In case 1.2, the computing device can determine the switching rate of the SA single-mode cell by the number of successful NR handovers to LTE, the total number of 5G redirections to 4G, and the total number of UE context releases. The switching rate of the SA single-mode cell satisfies the following formula 5:

[0173] Ee=(e1+e2) / e3 Formula 5

[0174] Where Ee is the handover rate of SA single-mode cells. e1 is the number of successful NR handovers to LTE (data triggered). e2 is the total number of 5G redirections to 4G (data triggered). e3 is the total number of UE context releases.

[0175] Case 1.3: The 5G cell is an NSA / SA dual-mode cell.

[0176] In case 1.3, the computing device may determine the switching rate of the NSA / SA dual-mode cell using the indicators involved in the above case 1.1 and / or the indicators involved in the above case 1.2.

[0177] It should be noted that when the sum of the number of successful NR switching to LTE and the total number of 5G redirection to 4G is 0, and the number of normal SgNB releases triggered by 5G coverage reasons is not 0, the switching rate of the NSA / SA dual-mode cell is the switching rate of the NSA single-mode cell.

[0178] When the sum of the number of successful NR switching to LTE and the total number of 5G redirection to 4G is not 0, and the number of normal SgNB releases triggered by 5G coverage reasons is 0, the switching rate of the NSA / SA dual-mode cell is the switching rate of the SA single-mode cell.

[0179] When the sum of the number of successful NR handovers to LTE and the total number of 5G redirections to 4G is not zero, and the number of normal SgNB releases triggered by 5G coverage reasons is zero, the handover rate of the NSA / SA dual-mode cell satisfies the following formula 6:

[0180] Ff=(f1×(f2 / (f2+f3+f4))+(f3+f4) / f5×(f3+f4) / (f2+f3+f4)) Formula 6

[0181] Where Ff is the handover rate of NSA / SA dual-mode cells. f1 is the SgNB release rate triggered by 5G coverage reasons. f2 is the number of normal SgNB releases triggered by 5G coverage reasons. f3 is the number of successful NR handovers to LTE. f4 is the total number of 5G to 4G redirections. f5 is the total number of UE context releases.

[0182] Optionally, different types of cells may correspond to different sixth preset thresholds, or may correspond to the same sixth preset threshold. For example, when the cell is an NSA single-mode cell, the sixth preset threshold may be set to 6%; when the cell is an SA single-mode cell, the sixth preset threshold may be set to 7%; and when the cell is an NSA / SA dual-mode cell, the sixth preset threshold may be set to 8%. For another example, the computing device may set the sixth preset threshold to 6% when the cell is an NSA single-mode cell, an SA single-mode cell, or an NSA / SA dual-mode cell.

[0183] In an optional implementation, the 5G service perception poor ratio, the 4G service perception poor ratio, and the 5G high fallback ratio can be indicators of one operator or multiple operators.

[0184] S302. The computing device determines the service evaluation value based on the 5G service perception unequal ratio, the 4G service perception unequal ratio, the 5G service perception poor ratio, the 4G service perception poor ratio, the 5G high fallback ratio, the weight value corresponding to the 5G service perception unequal ratio, the weight value corresponding to the 4G service perception unequal ratio, the weight value corresponding to the 5G service perception poor ratio, the weight value corresponding to the 4G service perception poor ratio, and the weight value corresponding to the 5G high fallback ratio.

[0185] In one possible implementation, the service evaluation value satisfies the following formula 7:

[0186] BV=α1×b1+α2×b2+α3×b3+α4×b4+α5×b5 Formula 7

[0187] Where BV is the service evaluation value. α1 is the weight corresponding to the 5G service perception inequality ratio. b1 is the 5G service perception inequality ratio. α2 is the weight corresponding to the 4G service perception inequality ratio. b2 is the 4G service perception inequality ratio. α3 is the weight corresponding to the 5G service perception poor ratio. b3 is the 5G service perception poor ratio. α4 is the weight corresponding to the 4G service perception poor ratio. b4 is the 4G service perception poor ratio. α5 is the weight corresponding to the 5G high fallback ratio. b5 is the 5G high fallback ratio.

[0188] Optionally, the above b1, b2, b3, b4, and b5 are set by the computing device based on experience, and the sum of the above b1, b2, b3, b4, and b5 is 1. For example, when 5G coverage is insufficient and 4G coverage is strong, the computing device may set b1 to 0.2, b2 to 0.4, b3 to 0.1, b4 to 0.1, and b5 to 0.2. For another example, when 5G coverage is strong, the computing device may set b1 to 0.3, b2 to 0.2, b3 to 0.2, b4 to 0.2, and b5 to 0.1.

[0189] The above technical solution brings at least the following beneficial effects: In the service perception evaluation method provided by the present application, the computing device first determines the 5G service perception difference ratio, the 4G service perception difference ratio, and the 5G high fallback ratio in the target area, and then combines the 5G service perception unequal ratio, the 4G service perception unequal ratio, and the weight value corresponding to each of the above five ratios to determine the service evaluation value. Therefore, in the process of determining the service evaluation value for evaluating the service perception in the target area, the present application not only refers to the service perception unequal ratio, but also combines the service perception unequal ratio and the service perception difference ratio, so that the service evaluation value can not only evaluate whether the service perception in the jointly built and shared access network equipment is equal, but also evaluate whether the service perception in the jointly built and shared access network equipment is poor, thereby making the service evaluation value more realistically reflect the comprehensive service perception of the jointly built and shared access network equipment.

[0190] In an optional embodiment, as shown in S201, the computing device needs to predetermine the service perception inequality ratio so that the subsequent computing device can determine the service evaluation value based on the above service perception inequality ratio. Figure 3 Based on the method embodiment shown, a possible implementation is provided, such as Figure 4 As shown, the implementation process of the computing device determining the service perception unequal ratio can be determined through the following S401 to S403.

[0191] S401: A computing device determines the number of preset shared cells in a target area.

[0192] Among them, the preset shared cell is a 5G shared cell, or the preset shared cell is a 4G shared cell.

[0193] In one possible implementation, the shared cell of the present application is a cell that meets preset conditions. The preset conditions are that the number of accesses to the cell during a target time period is greater than or equal to a first threshold, the number of releases to the cell during the target time period is greater than or equal to a second threshold, and the average busy-hour traffic of the cell during the target time period is greater than a third threshold. The number of accesses is the number of times a terminal device successfully accesses an access network device. The number of releases is the number of times a terminal device disconnects from an access network device.

[0194] For example, the first threshold may be 100, the second threshold may be 100, and the third threshold may be 0. In conjunction with this example, if the number of accesses to the cell within the target time period is greater than or equal to 100, the number of releases of the cell within the target time period is greater than or equal to 100, and the average busy-hour traffic of the cell within the target time period is greater than 0, then the computing device determines that the cell is a preset shared cell.

[0195] S402: The computing device performs the following operations on each preset shared cell in the target area to obtain the number of preset shared cells with unequal service perception:

[0196] S4021. The computing device determines whether a difference between service perceptions of any two operators of the target cell is greater than or equal to a first preset threshold.

[0197] The target cell is any one of the multiple preset shared cells in the target area.

[0198] In an optional implementation, the computing device may set the first preset threshold to 10.

[0199] In a possible implementation, the service perception may include at least one of the following: service residence time, average downlink perception rate, access success rate, and disconnection rate.

[0200] Optionally, the computing device determines the dwell time of the cell as follows: when the target cell is a non-standalone (NSA) single-mode cell, the service dwell time satisfies the following formula 8:

[0201]

[0202] Wherein, NSA is the service residence time of the target cell when the target cell is an NSA single-mode cell. S1 is the average sum of the RRC connections of multiple first terminal devices in the target cell on the 4G network during the sampling period. S2 is the average sum of the RRC connections of multiple second terminal devices in the target cell on the 4G network during the sampling period. The first terminal device is a terminal device connected to the 4G network and the 5G network. The first terminal device is a terminal device connected to the 4G network.

[0203] When the target cell is a standalone (SA) single-mode cell, the service dwell time satisfies the following formula 9:

[0204]

[0205] Among them, SA is the service residence time of the target cell when the target cell is an SA single-mode cell. S3 is the average sum of the RRC connections of multiple third terminal devices in the target cell on the 5G network during the sampling period. S4 is the average sum of the RRC connections of multiple fourth terminal devices in the target cell on the 4G network during the sampling period. The third terminal device is a terminal device connected to the 5G network and in a connected state. The fourth terminal device is a terminal device connected to the 4G network and in a connected state.

[0206] When the target cell is a non-standalone (NSA) / standalone (SA) dual-mode cell, and S1 is not 0 and S3 is not 0, the service dwell time satisfies the following formula 9:

[0207]

[0208] Among them, NSA / SA is the service residence time of the target cell when the target cell is an NSA / SA single-mode cell, the sum of the average number of RRC connections of all NSA terminals in dual connection on the 4G network is not 0, and the sum of the average number of RRC connections of all 5G terminals in connected state on the 5G network is not 0.

[0209] When the target cell is an NSA / SA dual-mode cell, S1 is not 0, and S3 is 0, the service dwell time satisfies the following formula 10:

[0210]

[0211] When the target cell is an NSA / SA dual-mode cell, S1 is 0, and S3 is not 0, the service dwell time satisfies the following formula 11:

[0212]

[0213] Optionally, the implementation process of the computing device determining the downlink average perceived rate, access success rate, and disconnection rate can be described with reference to the corresponding positions above and will not be repeated here.

[0214] If the difference between the service perceptions of any two operators of the target cell is greater than or equal to the first preset threshold, the computing device executes S4022.

[0215] S4022. The computing device determines that the target cell is a preset shared cell with unequal service perception.

[0216] If the difference in service perception between any two operators of the target cell is less than a first preset threshold, the computing device determines that the target cell is a preset shared cell with equal service perception.

[0217] S403: The calculation device determines that the ratio of the number of preset shared cells with unequal service perception in the target area to the number of preset shared cells is a target service perception unequal ratio.

[0218] For example, if the number of preset shared cells with unequal target service perception in the target area is 50, and the number of preset shared cells in the target area is 100, the target service perception unequal ratio is 50%.

[0219] The above technical solution brings at least the following beneficial effects: In the service perception evaluation method provided by the present application, the computing device can first determine the number of preset shared cells in the target area, and then determine whether the difference in service perception of any two operators of each of the above preset shared cells is greater than or equal to the first preset threshold value. If so, the preset shared cell is determined to be a preset shared cell with unequal service perception, so as to obtain the number of preset shared cells with unequal service perception. Then, the ratio of the number of preset shared cells with unequal service perception to the number of preset shared cells in the target area is determined to be the target service perception unequal ratio. Thus, the present application judges whether the service perception of each cell in the target area is equal, and then determines the number of preset shared cells with unequal service perception, and determines the target service perception unequal ratio based on the number of preset shared cells with unequal service perception and the number of preset shared cells. In this way, the target service perception unequal ratio is obtained, which provides a data basis for the subsequent determination of the service evaluation value used to evaluate the service perception in the target area.

[0220] It should be noted that the computing device can be based on the above Figure 4 The method shown determines the number of 5G service-aware unequal cells and the number of 4G service-aware unequal cells. Combined with the prior art of determining the number of 5G service-aware poor cells, the number of 4G service-aware poor cells, and the number of 5G high-fallback cells, a first indicator at a first moment and a first indicator at a second moment can be determined, respectively, so that a subsequent computing device can determine a problem cell resolution rate, which represents the efficiency of resolving problem cells in a target area, based on the first indicator at the first moment and the first indicator at the second moment.

[0221] In one possible implementation, combining Figure 2 ,like Figure 5 As shown, the process of determining the problem cell resolution rate by the computing device can be implemented through the following S501 to S502.

[0222] S501. A computing device determines at least one first indicator at a first moment and at least one first indicator at a second moment.

[0223] Among them, at least one first indicator includes: the number of 5G shared cells with unequal service perception, the number of 4G shared cells with unequal service perception, the number of 5G shared cells with poor service perception, the number of 4G shared cells with poor service perception, and the number of 5G shared cells with high fallback.

[0224] In a possible implementation, the implementation process of the computing device determining any one of the at least one first indicator can be understood by referring to the description of the corresponding position above, and will not be repeated here.

[0225] S502: The computing device determines a problem cell resolution rate based on at least one first indicator at a first moment and at least one first indicator at a second moment.

[0226] The problem cell resolution rate is used to indicate the efficiency of resolving problem cells in the target area.

[0227] In one possible implementation, the problem cell resolution rate satisfies the following formula 12:

[0228]

[0229] Wherein, SQ is the problem cell resolution rate. L is the number of at least one first indicator. i is a positive integer less than or equal to L. N i is the first index of i at the first moment. i is the first index of i at the second moment. i is the weight value corresponding to the i-th first indicator.

[0230] The above technical solution brings at least the following beneficial effects: the service perception evaluation method provided by the present application, the computing device determines the first indicator at the first moment and the first indicator at the second moment, and determines the problem cell resolution rate based on at least one first indicator at the first moment and at least one first indicator at the second moment. In this way, the efficiency of solving problem cells in the target area can be understood through the problem cell resolution rate, so that timely adjustments can be made.

[0231] It is understandable that the above-mentioned business perception evaluation method can be implemented by a business perception evaluation device. In order to realize the above-mentioned functions, the business perception evaluation device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the modules and algorithm steps of each example described in the embodiments disclosed herein, the embodiments disclosed in this application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the embodiments disclosed in this application.

[0232] The embodiments disclosed in this application can divide the functional modules of the business perception evaluation device generated by the above method example. For example, each functional module can be divided corresponding to each function, or two or more functions can be integrated into one processing module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiments disclosed in this application is schematic and is only a logical functional division. There may be other division methods in actual implementation.

[0233] Figure 6 This is a schematic diagram of the structure of a service perception evaluation device provided by an embodiment of the present invention. Figure 6 As shown, the service awareness evaluation device 60 can be used to perform Figure 2-Figure 5 The service awareness evaluation method shown in FIG. 6 includes a processing unit 601 and a communication unit 602.

[0234] Processing unit 601 is used to determine the service perception inequality ratio within the target area; the service perception inequality ratio is the ratio of the number of shared cells with service perception inequality in the target area to the number of shared cells in the target area; a shared cell with service perception inequality is a shared cell in which the difference in service perception of any two operators is greater than a first preset threshold; a shared cell is a cell that supports services of at least two operators; processing unit 601 is also used to determine a service evaluation value based on the service perception inequality ratio; the service evaluation value is used to evaluate the service perception in the target area.

[0235] In one possible implementation, the service perception inequality ratio includes: the service perception inequality ratio of 5G fifth-generation mobile communication technology and the service perception inequality ratio of 4G fourth-generation mobile communication technology; the 5G service perception inequality ratio is the ratio of the number of 5G shared cells with service perception inequality in the target area to the number of 5G shared cells in the target area; the 5G shared cells with service perception inequality are 5G shared cells in which the difference in service perception of any two operators is greater than the second preset threshold; the 4G service perception inequality ratio is the ratio of the number of 4G shared cells with service perception inequality in the target area to the number of 4G shared cells in the target area; the 4G shared cells with service perception inequality are 4G shared cells in which the difference in service perception of any two operators is greater than the third preset threshold.

[0236] In a possible implementation, the processing unit 601 is specifically used to determine the 5G service perception difference ratio, the 4G service perception difference ratio, and the 5G high fallback ratio in the target area; the 5G service perception difference ratio is the ratio of the number of 5G shared cells whose service perception in the target area is less than or equal to the fourth preset threshold to the number of 5G shared cells; the 4G service perception difference ratio is the ratio of the number of 4G shared cells whose service perception in the target area is less than or equal to the fifth preset threshold to the number of 4G shared cells; the 5G high fallback is the ratio of the number of 5G shared cells whose switching rate in the target area is greater than the sixth preset threshold to the number of 5G shared cells; the switching rate is the ratio of the target terminal device switching from the 5G network to the 4G network The target terminal device includes one or more terminal devices in the 5G shared cell; the processing unit 601 is specifically used to determine the service evaluation value according to the 5G service perception unequal ratio, the 4G service perception unequal ratio, the 5G service perception poor ratio, the 4G service perception poor ratio, the 5G high fallback ratio, the weight value corresponding to the 5G service perception unequal ratio, the weight value corresponding to the 4G service perception unequal ratio, the weight value corresponding to the 5G service perception poor ratio, the weight value corresponding to the 4G service perception poor ratio, and the weight value corresponding to the 5G high fallback ratio.

[0237] In one possible implementation, the service evaluation value satisfies the following formula:

[0238] BV=α1×b1+α2×b2+α3×b3+α4×b4+α5×b5

[0239] Among them, BV is the service evaluation value; α1 is the weight corresponding to the 5G service perception unequal ratio; b1 is the 5G service perception unequal ratio; α2 is the weight corresponding to the 4G service perception unequal ratio; b2 is the 4G service perception unequal ratio; α3 is the weight corresponding to the 5G service perception poor ratio; b3 is the 5G service perception poor ratio; α4 is the weight corresponding to the 4G service perception poor ratio; b4 is the 4G service perception poor ratio; α5 is the weight corresponding to the 5G high fallback ratio; b5 is the 5G high fallback ratio.

[0240] In one possible implementation, the processing unit 601 is specifically used to determine the number of preset shared cells in the target area; the preset shared cell is a 5G shared cell, or the preset shared cell is a 4G shared cell; the processing unit 601 is specifically used to perform the following operations on each preset shared cell in the target area to obtain the number of preset shared cells with unequal service perception: when the difference between the service perceptions of any two operators in the target cell is greater than or equal to a first preset threshold, the target cell is determined to be a preset shared cell with unequal service perception; the target cell is any one of the multiple preset shared cells in the target area; the processing unit 601 is specifically used to determine that the ratio of the number of preset shared cells with unequal service perception in the target area to the number of preset shared cells is the target service perception inequality ratio.

[0241] In one possible implementation, the processing unit 601 is further used to determine at least one first indicator at a first moment and at least one first indicator at a second moment; the at least one first indicator includes: the number of 5G shared cells with unequal service perception, the number of 4G shared cells with unequal service perception, the number of 5G shared cells with poor service perception, the number of 4G shared cells with poor service perception, and the number of 5G shared cells with high fallback; the processing unit 601 is also used to determine the problem cell resolution rate based on the at least one first indicator at the first moment and the at least one first indicator at the second moment; the problem cell resolution rate is used to indicate the efficiency of resolving problem cells in the target area.

[0242] In one possible implementation, the problem cell resolution rate satisfies the following formula:

[0243]

[0244] Where SQ is the problem cell resolution rate; L is the number of at least one first indicator; i is a positive integer less than or equal to L; N i is the first index of i at the first moment; M i is the first index of the i-th at the second moment; α i is the weight value corresponding to the i-th first indicator.

[0245] In the case of implementing the functions of the above-mentioned integrated modules in the form of hardware, the embodiment of the present invention provides a possible structural diagram of the electronic device involved in the above-mentioned embodiment. Figure 7 As shown, a service perception evaluation device 70, for example, is used to perform Figure 2-Figure 5The service awareness evaluation method shown in FIG. The service awareness evaluation device 70 includes a processor 701, a memory 702, and a bus 703. The processor 701 and the memory 702 may be connected via the bus 703. Optionally, the service awareness evaluation device 70 may further include a communication interface 704.

[0246] Processor 701 is the control center of the user equipment and can be a single processor or a collective term for multiple processing elements. For example, processor 701 can be a general-purpose central processing unit (CPU) 702 or another general-purpose processor. The general-purpose processor can be a microprocessor or any conventional processor.

[0247] As an embodiment, the processor 701 may include one or more CPUs, such as Figure 7 CPU 0 and CPU 1 are shown in Figure 1.

[0248] The memory 702 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0249] As a possible implementation, memory 702 can exist independently of processor 701 and can be connected to processor 701 via bus 703 to store instructions or program code. When processor 701 calls and executes the instructions or program code stored in memory 702, the map drawing method provided in this embodiment of the present invention can be implemented.

[0250] In another possible implementation, the memory 702 may also be integrated with the processor 701 .

[0251] Bus 703 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. This bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0252] The communication interface 704 is used to connect to other devices via a communication network. The communication network may be Ethernet, wireless access network, wireless local area network (WLAN), etc. The communication interface 704 may include a communication unit 601 for receiving data.

[0253] In one design, in the electronic device provided by an embodiment of the present invention, the communication interface may also be integrated into the processor.

[0254] It should be pointed out that Figure 7 The structure shown does not constitute a limitation on the service perception evaluation device 70. Figure 7 In addition to the components shown, the service awareness evaluation device 70 may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0255] As an example, combining Figure 6 The functions implemented by the processing unit 601 in the electronic device are similar to those Figure 7 The functions of the processor 701 in are the same.

[0256] Through the description of the above embodiments, those skilled in the art will clearly understand that for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The working process of the above-described system, device, and unit can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0257] Among them, the computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. Further examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a register, a hard disk, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above, or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (ASIC). In the embodiments of the present application, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0258] The above are merely embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be included in the scope of protection of the present application. Therefore, the scope of protection of the present application shall be subject to the scope of protection of the claims.

Claims

1. A service perception evaluation method, characterized in that: include: Determining a service perception inequality ratio within a target area; the service perception inequality ratio is a ratio of the number of shared cells with service perception inequality within the target area to the number of shared cells within the target area; the shared cells with service perception inequality are shared cells in which the difference in service perception of any two operators is greater than or equal to a first preset threshold; the shared cells are cells that support services of at least two operators; A service evaluation value is determined according to the service perception inequality ratio; the service evaluation value is used to evaluate the service perception in the target area.

2. The method according to claim 1, characterized in that The service perception inequality ratio includes: the 5G service perception inequality ratio of the fifth generation mobile communication technology and the 4G service perception inequality ratio of the fourth generation mobile communication technology; the 5G service perception inequality ratio is the ratio of the number of 5G shared cells with service perception inequality in the target area to the number of 5G shared cells in the target area; the 5G shared cells with service perception inequality are 5G shared cells in which the difference in service perception of any two operators is greater than the second preset threshold; the 4G service perception inequality ratio is the ratio of the number of 4G shared cells with service perception inequality in the target area to the number of 4G shared cells in the target area; the 4G shared cells with service perception inequality are 4G shared cells in which the difference in service perception of any two operators is greater than the third preset threshold.

3. The method according to claim 2, characterized in that The determining of the service evaluation value according to the service perception inequality ratio includes: Determine the 5G service perception difference ratio, 4G service perception difference ratio, and 5G high fallback ratio in the target area; the 5G service perception difference ratio is the ratio of the number of 5G shared cells in the target area whose service perception is less than or equal to a fourth preset threshold to the number of the 5G shared cells; the 4G service perception difference ratio is the ratio of the number of 4G shared cells in the target area whose service perception is less than or equal to a fifth preset threshold to the number of the 4G shared cells; the 5G high fallback is the ratio of the number of 5G shared cells in the target area whose switching rate is greater than a sixth preset threshold to the number of the 5G shared cells; the switching rate is the ratio of the number of times the target terminal device switches from the 5G network to the 4G network to the sum of the number of times the target terminal device switches from the 5G network to the 4G network and the number of times the target terminal device switches from the 4G network to the 5G network; the target terminal device includes one or more terminal devices in the 5G shared cell; The service evaluation value is determined based on the 5G service perception unequal ratio, the 4G service perception unequal ratio, the 5G service perception poor ratio, the 4G service perception poor ratio, the 5G high fallback ratio, the weight value corresponding to the 5G service perception unequal ratio, the weight value corresponding to the 4G service perception unequal ratio, the weight value corresponding to the 5G service perception poor ratio, the weight value corresponding to the 4G service perception poor ratio, and the weight value corresponding to the 5G high fallback ratio.

4. The method according to claim 3, characterized in that The business evaluation value satisfies the following formula: BV=α1×b1+α2×b2+α3×b3+α4×b4+α5×b5 Among them, the BV is the service evaluation value; the α1 is the weight corresponding to the 5G service perception unequal ratio; the b1 is the 5G service perception unequal ratio; the α2 is the weight corresponding to the 4G service perception unequal ratio; the b2 is the 4G service perception unequal ratio; the α3 is the weight corresponding to the 5G service perception poor ratio; the b3 is the 5G service perception poor ratio; the α4 is the weight corresponding to the 4G service perception poor ratio; the b4 is the 4G service perception poor ratio; the α5 is the weight corresponding to the 5G high fallback ratio; the b5 is the 5G high fallback ratio.

5. The method according to claim 2, characterized in that Determining the service perception inequality ratio within the target area includes: Determining the number of preset shared cells in the target area; the preset shared cells are 5G shared cells, or the preset shared cells are 4G shared cells; Perform the following operations on each preset shared cell in the target area to obtain the number of preset shared cells with unequal service perception: When the difference in service perception between any two operators of the target cell is greater than or equal to the first preset threshold, determining that the target cell is the preset shared cell with unequal service perception; the target cell is any one of the multiple preset shared cells in the target area; The ratio of the number of preset shared cells with service perception inequality within the target area to the number of the preset shared cells is determined to be the service perception inequality ratio.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: Determine at least one first indicator at a first moment and at least one first indicator at a second moment; the at least one first indicator includes: the number of 5G shared cells with unequal service perception, the number of 4G shared cells with unequal service perception, the number of 5G shared cells with poor service perception, the number of 4G shared cells with poor service perception, and the number of 5G shared cells with high dropout; A problem cell resolution rate is determined according to at least one first indicator at the first moment and at least one first indicator at the second moment; the problem cell resolution rate is used to represent the efficiency of resolving problem cells in the target area.

7. The method according to claim 6, characterized in that The problem cell resolution rate satisfies the following formula: Wherein, the SQ is the problem cell resolution rate; the L is the number of the at least one first indicator; the i is a positive integer less than or equal to the L; the N i is the i-th first indicator at the first moment; the M i is the i-th first indicator at the second moment; the α i is the weight value corresponding to the i-th first indicator.

8. A service perception evaluation device, characterized in that: The service perception evaluation device includes: a processing unit; The processing unit is configured to determine a service perception inequality ratio within a target area; the service perception inequality ratio is a ratio of the number of shared cells with service perception inequality within the target area to the number of shared cells within the target area; the shared cells with service perception inequality are shared cells in which the difference in service perception of any two operators is greater than or equal to a first preset threshold; the shared cells are cells that support services of at least two operators; The processing unit is further configured to determine a service evaluation value according to the service perception inequality ratio; the service evaluation value is used to evaluate the service perception in the target area.

9. The device according to claim 8, characterized in that The service perception inequality ratio includes: the 5G service perception inequality ratio of the fifth generation mobile communication technology and the 4G service perception inequality ratio of the fourth generation mobile communication technology; the 5G service perception inequality ratio is the ratio of the number of 5G shared cells with service perception inequality in the target area to the number of 5G shared cells in the target area; the 5G shared cells with service perception inequality are 5G shared cells in which the difference in service perception of any two operators is greater than the second preset threshold; the 4G service perception inequality ratio is the ratio of the number of 4G shared cells with service perception inequality in the target area to the number of 4G shared cells in the target area; the 4G shared cells with service perception inequality are 4G shared cells in which the difference in service perception of any two operators is greater than the third preset threshold.

10. The device according to claim 9, characterized in that The processing unit is specifically used to determine the 5G service perception difference ratio, the 4G service perception difference ratio, and the 5G high fallback ratio in the target area; the 5G service perception difference ratio is the ratio of the number of 5G shared cells in the target area whose service perception is less than or equal to a fourth preset threshold to the number of the 5G shared cells; the 4G service perception difference ratio is the ratio of the number of 4G shared cells in the target area whose service perception is less than or equal to a fifth preset threshold to the number of the 4G shared cells; the 5G high fallback is the ratio of the number of 5G shared cells in the target area whose switching rate is greater than a sixth preset threshold to the number of the 5G shared cells; the switching rate is the ratio of the number of times the target terminal device switches from the 5G network to the 4G network to the sum of the number of times the target terminal device switches from the 5G network to the 4G network and the number of times the target terminal device switches from the 4G network to the 5G network; the target terminal device includes one or more terminal devices of the 5G shared cell; The processing unit is specifically used to determine the service evaluation value based on the 5G service perception unequal ratio, the 4G service perception unequal ratio, the 5G service perception poor ratio, the 4G service perception poor ratio, the 5G high fallback ratio, the weight value corresponding to the 5G service perception unequal ratio, the weight value corresponding to the 4G service perception unequal ratio, the weight value corresponding to the 5G service perception poor ratio, the weight value corresponding to the 4G service perception poor ratio, and the weight value corresponding to the 5G high fallback ratio.

11. The device according to claim 10, characterized in that The business evaluation value satisfies the following formula: BV=α1×b1+α2×b2+α3×b3+α4×b4+α5×b5 Among them, the BV is the service evaluation value; the α1 is the weight corresponding to the 5G service perception unequal ratio; the b1 is the 5G service perception unequal ratio; the α2 is the weight corresponding to the 4G service perception unequal ratio; the b2 is the 4G service perception unequal ratio; the α3 is the weight corresponding to the 5G service perception poor ratio; the b3 is the 5G service perception poor ratio; the α4 is the weight corresponding to the 4G service perception poor ratio; the b4 is the 4G service perception poor ratio; the α5 is the weight corresponding to the 5G high fallback ratio; the b5 is the 5G high fallback ratio.

12. The device according to claim 9, characterized in that The processing unit is specifically configured to determine the number of preset shared cells in the target area; the preset shared cells are 5G shared cells, or the preset shared cells are 4G shared cells; The processing unit is specifically configured to perform the following operation on each preset shared cell in the target area to obtain the number of preset shared cells with unequal service perception: when a difference in service perception between any two operators of the target cell is greater than or equal to the first preset threshold, determine that the target cell is a preset shared cell with unequal service perception; the target cell is any one of the multiple preset shared cells in the target area; The processing unit is specifically configured to determine that a ratio of the number of preset shared cells with service perception inequality within the target area to the number of the preset shared cells is the service perception inequality ratio.

13. The device according to any one of claims 8 to 12, characterized in that The processing unit is further configured to determine at least one first indicator at a first moment and at least one first indicator at a second moment; the at least one first indicator includes: the number of 5G shared cells with unequal service perception, the number of 4G shared cells with unequal service perception, the number of 5G shared cells with poor service perception, the number of 4G shared cells with poor service perception, and the number of 5G shared cells with high fallback; The processing unit is further configured to determine a problem cell resolution rate based on at least one first indicator at the first moment and at least one first indicator at the second moment; the problem cell resolution rate is used to represent the efficiency of resolving problem cells in the target area.

14. The device according to claim 13, characterized in that The problem cell resolution rate satisfies the following formula: Wherein, the SQ is the problem cell resolution rate; the L is the number of the at least one first indicator; the i is a positive integer less than or equal to the L; the N i is the i-th first indicator at the first moment; the M i is the i-th first indicator at the second moment; the α i is the weight value corresponding to the i-th first indicator.

15. A service perception evaluation device, characterized in that: include: A processor and a communication interface; the communication interface is coupled to the processor, and the processor is configured to run a computer program or instruction to implement the service awareness evaluation method as described in any one of claims 1-7.

16. A computer-readable storage medium storing instructions, characterized in that: When a computer executes the instruction, the computer executes the service awareness evaluation method described in any one of claims 1 to 7.

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