CN115802363B

CN115802363B - Method and device for determining cell to be optimized

Info

Publication number: CN115802363B
Application number: CN202211413106.5A
Authority: CN
Inventors: 肖天; 狄子翔; 刘光海; 许国平; 成晨; 李贝; 程新洲; 李�一; 金雨超; 郑雨婷; 薛永备; 周诗雨; 王昭宁
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2022-11-11
Filing date: 2022-11-11
Publication date: 2024-05-10
Anticipated expiration: 2042-11-11
Also published as: CN115802363A

Abstract

The application provides a method and a device for determining a cell to be optimized, which relate to the field of communication and enable operators to accurately determine the cell to be optimized. The method comprises the following steps: acquiring ticket information of each terminal in a plurality of terminals for data transmission in a first area in a first time period; determining a high-value terminal of a first system from a plurality of terminals according to ticket information; and determining the cell to be optimized according to the ticket information of the high-value terminal in the first system. The cell to be optimized is a first standard cell, and is located in a first area, and the cell to be optimized has at least one of the following characteristics: high reverse flow coverage inefficiency, high load capacity inefficiency, or split traffic inefficiency.

Description

Method and device for determining cell to be optimized

Technical Field

The present application relates to the field of communications, and in particular, to a method and apparatus for determining a cell to be optimized.

Background

With the advent of the 5G age, operators have initiated the construction of 5G networks. In the initial stage of 5G network construction, operators mainly plan the deployment mode of 5G base stations according to market demands and/or user demands. For example, 5G base stations are preferentially deployed in an important area such as a urban area, and the number of 5G base stations deployed in the urban area is greater than the number of 5G base stations deployed in a suburban area. Therefore, a situation of insufficient coverage or a hole of the 5G base station occurs.

With the increase of 5G users, operators need to build more 5G base stations to improve coverage quality and service continuity of the 5G network. However, operators often have blindness in the process of building more 5G base stations, and various cells to be optimized cannot be accurately determined.

Disclosure of Invention

The application provides a method and a device for determining a cell to be optimized, which enable an operator to accurately determine the cell to be optimized, for example: the high backflow covers the inefficient cell, the high load capacity inefficient cell or the shunt service is inefficient and inefficient.

In order to achieve the above purpose, the application adopts the following technical scheme:

In a first aspect, the present application provides a method of determining a cell to be optimized, which may be performed by an apparatus for determining a cell to be optimized; or may be performed by a module, such as a chip, a system of chips or a circuit, applied in the apparatus for determining the cell to be optimized; or may be implemented by logic modules or software that can implement all or part of the functions of the apparatus for determining cells to be optimized, which are not limited. For convenience of description, an example will be described below as being performed by an apparatus for determining a cell to be optimized. The method comprises the following steps: acquiring ticket information of each terminal in a plurality of terminals for data transmission in a first area in a first time period; determining a high-value terminal of a first system from a plurality of terminals according to ticket information; determining a cell to be optimized according to ticket information of a high-value terminal of a first system, wherein the cell to be optimized is a cell of the first system, and the cell to be optimized is positioned in a first area and has at least one of the following characteristics: high reverse flow coverage inefficiency, high load capacity inefficiency, or split traffic inefficiency.

Based on the method provided in the first aspect, the device for determining the cell to be optimized may determine the high-value terminal of the first system according to the ticket information of each of the plurality of terminals performing data transmission in the first area in the first period, and determine the cell to be optimized according to the ticket information of the high-value terminal of the first system. The ticket information of each terminal in the plurality of terminals is obtained according to the actual occurrence of the service of the terminal, so that the determined cell to be optimized is consistent with the actual occurrence of the service of the terminal. In addition, the device for determining the cell to be optimized can determine the cell to be optimized of the first system according to the high-value terminal of the first system, so that the determined cell to be optimized of the first system is more accurate.

In one possible implementation manner, the ticket information of any one of the plurality of terminals includes a first uplink traffic, a first downlink traffic, a second uplink traffic, a second downlink traffic, a first downlink average user perception rate, a first uplink average user perception rate, a second downlink average user perception rate, and a second uplink average user perception rate; the first uplink flow is the uplink flow of a first system generated by the terminal in a first time period, the first downlink flow is the downlink flow of the first system generated by the terminal in the first time period, the second uplink flow is the uplink flow of a second system generated by the terminal in the first time period, the second downlink flow is the downlink flow of the second system generated by the terminal in the first time period, the first downlink average user perception rate is the downlink average user perception rate corresponding to the first system in the first time period, the first uplink average user perception rate is the uplink average user perception rate corresponding to the first system in the first time period, the second downlink average user perception rate is the downlink average user perception rate corresponding to the second system in the first time period, and the second uplink average user perception rate is the uplink average user perception rate corresponding to the second system in the first time period; determining the high-value terminal of the first system in the plurality of terminals according to the ticket information, comprising: determining an expected total flow corresponding to a first terminal in a first system according to a first uplink flow of the first terminal, a first downlink flow of the first terminal, a second uplink flow of the first terminal, a second downlink average user perception rate of the first terminal, a first uplink average user perception rate of the first terminal, a second downlink average user perception rate of the first terminal and a second uplink average user perception rate of the first terminal, wherein the first terminal is any one of a plurality of terminals; and determining whether the first terminal is a high-value terminal of the first standard according to the expected total flow.

Based on the method, the device for determining the cell to be optimized can determine the expected total flow corresponding to the first terminal under the first system according to the ticket information of the first terminal, and determine whether the first terminal is a high-value terminal of the first system according to the expected total flow. Therefore, the determined high-value terminal of the first system is a terminal expected to adopt the first system for data transmission, and the determined cell to be optimized is more accurate according to the ticket information of the high-value terminal of the first system.

In one possible implementation, the expected total traffic is greater than or equal to a first threshold, and the sum of the second upstream traffic and the second downstream traffic is greater than or equal to a second threshold, and the first terminal is a high value terminal of the first system.

Based on the method, the device for determining the cell to be optimized can determine the terminal with larger expected total flow and larger sum of the uplink flow of the second system generated in the first time period and the downlink flow of the second system generated in the first time period as the high-value terminal of the first system.

One possible implementation way is that the cell to be optimized has the characteristic of low efficiency of high backflow coverage; determining a cell to be optimized according to ticket information of a high-value terminal of a first system, including: determining a high-backflow terminal of a first system from the high-value terminals of the first system according to ticket information of the high-value terminals of the first system, wherein the number of tickets switched from the first system to the second system by the high-backflow terminal of the first system in a first time period is larger than or equal to a third threshold; according to ticket information of a high-backflow terminal in a first system, determining a first cell in a first area as a cell to be optimized, wherein the number of times of switching the terminal in the first cell from the first system to a second system in a first time period is larger than or equal to a fourth threshold value, and the first cell meets a first condition, the first condition comprises that the distance between network equipment to which the first cell belongs and network equipment to which a cell closest to the first cell belongs is larger than or equal to a fifth threshold value, and the difference between the azimuth angle of the first cell and the azimuth angle of a neighboring cell of the first cell is larger than or equal to a sixth threshold value, and smaller than or equal to a seventh threshold value.

Based on the method, the device for determining the cell to be optimized can determine the high-backflow terminal of the first system according to the ticket information of the high-value terminal of the first system, so as to determine the cell to be optimized with the high-backflow coverage inefficiency characteristic.

A possible implementation manner, determining a cell to be optimized according to ticket information of a high-value terminal in a first system, includes: according to ticket information of a high-value terminal of a first system, determining a high-load terminal of the first system in the high-value terminal of the first system, wherein the flow of the first system generated by the high-load terminal of the first system in each time unit of N time units is greater than or equal to an eighth threshold value, N time units are included in the first time period, and N is greater than or equal to the ninth threshold value; determining a resident cell of the high-load terminal of the first system in a first system cell in which the high-load terminal of the first system resides in a first time period; and determining a cell to be optimized in the resident cells.

Based on the method, the device for determining the cell to be optimized can determine the high-load terminal of the first system according to the ticket information of the high-value terminal of the first system, so as to determine the resident cell of the high-load terminal of the first system, and determine the cell to be optimized in the resident cell.

In one possible implementation manner, the cell to be optimized has a high-load capacity inefficiency characteristic, the physical resource block (physical resource block, PRB) utilization ratio of the cell to be optimized in the first period is greater than or equal to a tenth threshold, the average flow rate of the cell to be optimized in the first period is greater than or equal to an eleventh threshold, the number of radio resource control (radio resource control, RRC) connections of the cell to be optimized in the first period is greater than or equal to a twelfth threshold, and the cell to be optimized satisfies a second condition, where the second condition includes that a distance between a network device to which the cell to be optimized belongs and a network device to which a cell nearest to the cell to be optimized belongs is greater than or equal to a thirteenth threshold, and a difference between an azimuth angle of the cell to be optimized and an azimuth angle of a neighbor cell of the cell to be optimized is greater than or equal to a fourteenth threshold, and is less than or equal to a fifteenth threshold, or where the second condition includes that a network device to which a distance from the network device to which the cell to be optimized belongs is less than or equal to the sixteenth threshold includes the low-load cell of the first system.

Based on the method, the device for determining the cell to be optimized can accurately determine the cell to be optimized with high-load capacity inefficiency characteristic according to the PRB utilization rate in the first time period, the average flow in the first time period, the RRC connection number in the first time period and the industrial parameter information of network equipment around the resident cell.

In a possible implementation manner, the cell to be optimized has a low-efficiency characteristic of split traffic, the cell to be optimized is a low-load cell of a first system, network equipment with a distance from the network equipment to which the cell to be optimized belongs being smaller than or equal to a seventeenth threshold value comprises a high-load cell of a second system, the PRB utilization rate of the high-load cell of the second system in a first time period is larger than or equal to the eighteenth threshold value, the average flow rate of the high-load cell of the second system in the first time period is larger than or equal to a nineteenth threshold value, and the RRC connection number of the high-load cell of the second system in the first time period is larger than or equal to a twentieth threshold value.

Based on the method, the device for determining the cell to be optimized can accurately determine the cell to be optimized with the low efficiency characteristic of the split service according to the low-load cell of the first system and whether the high-load cell of the second system exists around the low-load cell.

In one possible implementation manner, the RRC connection number of the low-load cell of the first system in the first period is less than or equal to the twenty-first threshold, and the PRB utilization of the low-load cell of the first system in the first period is less than or equal to the twenty-second threshold.

Based on the method, the device for determining the cell to be optimized can determine the low-load cell of the first system from the cell with less RRC connection number and smaller PRB utilization rate in the first time period, so that the cell to be optimized with the low-efficiency characteristic of the split service and the low-efficiency characteristic of the high-load capacity is determined according to the low-load cell of the first system.

In a second aspect, the present application provides an apparatus for determining a cell to be optimized for implementing the above method. The device comprises: the device comprises an acquisition module and a processing module; the acquisition module is used for acquiring ticket information of each terminal in the plurality of terminals for data transmission in the first area in the first time period; the processing module is used for determining a high-value terminal of a first system from the plurality of terminals according to the ticket information; the processing module is further used for determining a cell to be optimized according to the ticket information of the high-value terminal in the first system, wherein the cell to be optimized is a cell in the first system, the cell to be optimized is located in the first area, and the cell to be optimized has at least one of the following characteristics: high reverse flow coverage inefficiency, high load capacity inefficiency, or split traffic inefficiency.

In a third aspect, the present application provides an apparatus for determining a cell to be optimized, the apparatus comprising: a processor; the processor is configured to perform the method according to the first aspect described above in response to the instructions after being coupled to the memory and reading the instructions in the memory.

In a fourth aspect, the application provides a computer readable storage medium having instructions stored therein which, when run on a computer, cause the computer to perform a method as described in the first aspect or any one of the possible implementations of the first aspect.

In a fifth aspect, embodiments of the application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method as described in the first aspect or any one of the possible implementations of the first aspect.

In a sixth aspect, embodiments of the application provide a chip comprising a processor for running a computer program or instructions to implement a method as described in the first aspect or any one of the possible implementations of the first aspect.

In a possible implementation manner, the chip provided in the embodiment of the application further includes a memory, and the memory is used for storing a computer program or instructions.

The technical effects of any one of the possible implementation manners of the second aspect to the sixth aspect may be referred to the technical effects of the first aspect or the different possible implementation manners of the first aspect, which are not described herein.

Drawings

Fig. 1 is a schematic diagram of a communication system architecture according to an embodiment of the present application;

fig. 2 is a flowchart of a method for determining a cell to be optimized according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an apparatus for determining a cell to be optimized according to an embodiment of the present application;

fig. 4 is a schematic hardware structure of an apparatus for determining a cell to be optimized according to an embodiment of the present application;

Fig. 5 is a schematic structural diagram of a chip according to an embodiment of the present application.

Detailed Description

The method and the device for determining the cell to be optimized provided by the embodiment of the application are described in detail below with reference to the accompanying drawings.

The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone.

The terms "first" and "second" and the like in the description and in the drawings are used for distinguishing between different objects or between different processes of the same object and not for describing a particular order of objects.

Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.

It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

In the description of the present application, unless otherwise indicated, the meaning of "a plurality" means two or more.

The method provided by the embodiment of the application can be used for various communication systems. For example, the communication system may be a long term evolution (long term evolution, LTE) system, a fifth generation (5th generation,5G) communication system (also referred to as a New Radio (NR) communication system), a Wi-Fi system, a third generation partnership project (3rd generation partnership project,3GPP) related communication system, a future evolution communication system (e.g., a sixth generation (6th generation,6G) communication system, etc.), a system in which multiple systems are integrated, or the like, without limitation. The method provided by the embodiment of the present application will be described below by taking the communication system 10 shown in fig. 1 as an example. Fig. 1 is only a schematic diagram, and does not limit the applicable scenario of the technical solution provided by the present application.

Fig. 1 is a schematic diagram of a communication system 10 according to an embodiment of the present application. In fig. 1, the communication system 10 may include a network device 101, a network device 102, a terminal 103 that may communicate with the network device 101, a terminal 104 that may communicate with the network device 102, and a means 105 that may communicate with the network device 101 and the network device 102 to determine a cell to be optimized.

In the embodiment of the present application, a device for determining a cell to be optimized, for example: the means 105 for determining cells to be optimized may be any kind of device having communication and computing capabilities. For example, the means for determining the cell to be optimized is a server, a cloud device, a computer or a computing device, etc. In fig. 1, the apparatus 105 for determining a cell to be optimized may be deployed independently, or may be deployed on other devices. For example, the means 105 for determining cells to be optimized may be deployed on the network device 102 or the network device 101. The network device in the embodiment of the application includes: the network device 101 and the network device 102 may be any devices having a wireless transmitting/receiving function. Including but not limited to: an evolved base station (NodeB or eNB or e-NodeB, evolutional Node B) in LTE, a base station (gNodeB or gNB) or transceiver point (transmission receiving point/transmission reception point, TRP) in NR, a base station for 3GPP subsequent evolution, an access node in WiFi system, a wireless relay node, a wireless backhaul node, etc. The base station may be: macro base station, micro base station, pico base station, small station, relay station, or balloon station, etc. Multiple base stations may support networks of the same technology as mentioned above, or may support networks of different technologies as mentioned above. A base station may contain one or more co-sited or non-co-sited TRPs. The network device may also be a wireless controller in the context of a cloud wireless access network (cloud radio access network, CRAN). The network device may also be a centralized unit (centralized unit, CU), and/or a Distributed Unit (DU). The network device may also be a server or a machine communication device, etc. The following description will take a network device as an example of a base station. The plurality of network devices may be the same type of base station or different types of base stations. The base station may communicate with the terminal or may communicate with the terminal through a relay station.

The terminal in the embodiment of the application comprises the following steps: the terminal 103 and the terminal 104 are devices having a wireless transmitting/receiving function. A terminal may also be referred to as a terminal device, which may be a User Equipment (UE), wherein the UE includes a handheld device, an in-vehicle device, a wearable device, or a computing device with wireless communication capabilities. The UE may be a mobile phone (mobile phone), a tablet computer, or a computer with a wireless transceiver function, for example. The terminal device may also be a Virtual Reality (VR) terminal device, an augmented reality (augmented reality, AR) terminal device, a wireless terminal in industrial control, a wireless terminal in unmanned, a wireless terminal in telemedicine, a wireless terminal in smart grid, a wireless terminal in smart city (SMART CITY), or a wireless terminal in smart home (smart home), etc.

The communication system 10 shown in fig. 1 is for example only and is not intended to limit the scope of the present application. It will be appreciated by those skilled in the art that in the specific implementation, the communication system 10 may further include other devices, and the number of devices, network devices and terminals of the cell to be optimized may be determined according to specific needs, without limitation.

The method provided by the embodiment of the application is specifically described below.

As shown in fig. 2, a method for determining a cell to be optimized according to an embodiment of the present application may include the following steps:

S201: the device for determining the cell to be optimized acquires ticket information of each of a plurality of terminals for data transmission in a first area in a first time period.

In the embodiment of the present application, the device for determining a cell to be optimized may be the device for determining a cell to be optimized 105 in the communication system 10 shown in fig. 1.

In the embodiment of the present application, the first period may include any period of time, such as one day, one natural week, or one natural month. The first period of time may be set as desired, without limitation.

In the embodiment of the present application, the first area may be any area where a cell to be optimized needs to be determined. For example, the first area may include coverage areas of a plurality of network devices. Optionally, the plurality of network devices includes a 5G network device and a 4G network device. Taking the communication system 10 shown in fig. 1 as an example, the first area may include a coverage area common to the network device 101 and the network device 102. Wherein network device 101 is a 5G base station and network device 102 is a 4G base station.

In an embodiment of the present application, the plurality of terminals may include terminals in the communication system 10 shown in fig. 1, for example, including the terminal 103 and the terminal 104 in fig. 1. Any one of the plurality of terminals may have a first standard capability and/or a second standard capability. Alternatively, the first system may be 5G and the second system may be 4G.

Illustratively, taking the communication system 10 shown in fig. 1 as an example, the network device 101 obtains ticket information of the terminal 103 performing data transmission in the first area within one month and sends the ticket information to the device 105 determining the cell to be optimized, and the network device 102 obtains ticket information of the terminal 104 performing data transmission in the first area within one month and sends the ticket information to the device 105 determining the cell to be optimized. In this way, the apparatus 105 for determining a cell to be optimized can acquire ticket information of each of a plurality of terminals for data transmission in the first area within one month. The terminal 103 has 4G and/or 5G capability, and may perform 4G and/or 5G data service in the first area, so that the ticket information of the terminal 103 includes 4G and/or 5G data service information. Similarly, the terminal 104 is provided with 4G and/or 5G capability, and may perform 4G and/or 5G data service in the first area, so that the ticket information of the terminal 104 includes 4G and/or 5G data service information.

In the embodiment of the present application, the ticket information of each terminal may include a signaling/traffic Detail (XDR) ticket. The XDR ticket of the first terminal may include a data traffic flow generated by the first terminal in the first period of time, a network user perceived rate in the first period of time, and the like. The first terminal may be any one of a plurality of terminals.

In one possible implementation manner, the ticket information of any one of the plurality of terminals includes a first uplink traffic, a first downlink traffic, a second uplink traffic, a second downlink traffic, a first downlink average user perception rate, a first uplink average user perception rate, a second downlink average user perception rate, and a second uplink average user perception rate. The first uplink flow is an uplink flow of a first system generated by the terminal in a first time period, the first downlink flow is a downlink flow of the first system generated by the terminal in the first time period, the second uplink flow is an uplink flow of a second system generated by the terminal in the first time period, the second downlink flow is a downlink flow of the second system generated by the terminal in the first time period, the first downlink average user perception rate is a downlink average user perception rate corresponding to the first system in the first time period, the first uplink average user perception rate is an uplink average user perception rate corresponding to the first system in the first time period, the second downlink average user perception rate is a downlink average user perception rate corresponding to the second system in the first time period, and the second uplink average user perception rate is an uplink average user perception rate corresponding to the second system in the first time period.

S202: the device for determining the cell to be optimized determines a high-value terminal of a first system from a plurality of terminals according to the ticket information.

In one possible implementation manner, the device for determining the cell to be optimized determines an expected total traffic corresponding to the first terminal in the first system according to a first uplink traffic of the first terminal, a first downlink traffic of the first terminal, a second uplink traffic of the first terminal, a second downlink traffic of the first terminal, a first downlink average user perception rate of the first terminal, a first uplink average user perception rate of the first terminal, a second downlink average user perception rate of the first terminal, and a second uplink average user perception rate of the first terminal, and determines whether the first terminal is a high-value terminal in the first system according to the expected total traffic.

The apparatus for determining a cell to be optimized obtains a first uplink traffic (THP _{5G, Upward going}) of a first terminal, a first downlink traffic (THP _{5G, Descending downwards}) of the first terminal, a second uplink traffic (THP _{4G, Upward going}) of the first terminal, a second downlink traffic (THP _{4G, Descending downwards}) of the first terminal, a first downlink average user perception rate (DR _{5G, Descending downwards}) of the first terminal, a first uplink average user perception rate (DR _{5G, Upward going}) of the first terminal, a second downlink average user perception rate (DR _{4G, Descending downwards}) of the first terminal, and a second uplink average user perception rate (DR _{4G, Upward going}) of the first terminal in a first period, and determines an expected total traffic (THP _5G) corresponding to the first terminal in the first system. The expected total flow THP _5G corresponding to the first terminal in the first system may satisfy the following formula ：THP_5G＝THP_{5G, Descending downwards}+THP_{4G, Descending downwards}*(DR_{5G, Descending downwards}/DR_{4G, Descending downwards})+THP_{5G, Upward going}+THP_{4G, Upward going}*(DR_{5G, Upward going}/DR_{4G, Upward going})., if the expected total flow is greater than or equal to the first threshold, and the sum of the second uplink flow and the second downlink flow is greater than or equal to the second threshold, the apparatus for determining the cell to be optimized determines that the first terminal is a high-value terminal in the first system, otherwise, determines that the first terminal is not a high-value terminal in the first system.

One possible design is that the first threshold value or the second threshold value can be set according to the actual situation. For example, the first period of time is 1 natural month, the first threshold is 60GB, and the second threshold is 10GB.

It can be understood that when the expected total flow, the second uplink flow and the second downlink flow of the first terminal meet the conditions, the apparatus for determining the cell to be optimized may determine that the first terminal is a high-value terminal of the first system. The process of determining the high-value terminal of the first system among the plurality of terminals is similar, and will not be described herein.

S203: the device for determining the cell to be optimized determines the cell to be optimized according to the ticket information of the high-value terminal of the first system.

In the embodiment of the application, the cell to be optimized is a first standard cell, the cell to be optimized is positioned in a first area, and the cell to be optimized has at least one of the following characteristics: high reverse flow coverage inefficiency, high load capacity inefficiency, or split traffic inefficiency.

If the cell to be optimized has the characteristic of low efficiency of high backflow coverage, the cell to be optimized can be called as the cell with low efficiency of high backflow coverage. If the cell to be optimized has the high-load capacity inefficiency characteristic, the cell to be optimized can be called as the high-load capacity inefficiency cell. If the cell to be optimized has the inefficient characteristic of the split traffic, the cell to be optimized can be called as the inefficient cell of the split traffic.

It may be appreciated that the characteristics of the cells to be optimized are different, and the method for determining the cells to be optimized by the first network device is different, which is described in detail below.

1) The cell to be optimized has the characteristic of high backflow coverage inefficiency.

In a possible implementation manner, the device for determining the cell to be optimized determines a high-backflow terminal of a first system in the high-value terminal of the first system according to ticket information of the high-value terminal of the first system, and determines the first cell in the first area as the cell to be optimized according to ticket information of the high-backflow terminal of the first system.

The number of the ticket switched from the first system to the second system in the first time period by the high backflow terminal of the first system is larger than or equal to a third threshold value. The number of times the terminal in the first cell switches from the first system to the second system in the first time period is greater than or equal to a fourth threshold, and the first cell satisfies a first condition. The first condition includes that a distance between a network device to which the first cell belongs and a network device to which a cell closest to the first cell belongs is greater than or equal to a fifth threshold, and a difference between an azimuth angle of the first cell and an azimuth angle of a neighboring cell of the first cell is greater than or equal to a sixth threshold, and is less than or equal to a seventh threshold.

It may be understood that the first area may include a plurality of cells, and in any one of the plurality of cells, if the signal quality of the first system is poor or the signal coverage area of the first system is small, a terminal in the cell that performs data transmission through the first system may be switched from the first system to the second system, and these terminals may be referred to as high-backflow terminals of the first system. For example, the first terminal switches from the 5G signal to the 4G signal, and at this time, the first terminal is referred to as a 5G high reverse flow terminal.

One possible design is that the third threshold, the fourth threshold, the fifth threshold, the sixth threshold or the seventh threshold may be set according to the actual situation. For example, the first period of time is 1 natural month, the third threshold is 50, the fourth threshold is 1000, and the sixth threshold is 60 °. The seventh threshold is 180 °. For another example, the first period of time is 1 natural month, and in urban scenarios, the fifth threshold is 500m; in suburban rural scenarios, the fifth threshold is 1000m.

It can be understood that the device for determining the cell to be optimized determines the number of the high-value terminals of the first system from the first system to the second system in the first time period according to the XDR ticket of the high-value terminals of the first system, determines the high-backflow terminals of the first system in the high-value terminals of the first system according to the number, and determines the first cell in the first area as the high-backflow coverage low-efficiency cell according to the XDR ticket of the high-backflow terminals of the first system.

Exemplary, the ticket types to switch from the first format to the second format include: the list names "Handover" and include a first type of list of Handover type "5gstoeps: NG-RAN node to eNB" and flow request cause category "NG inter-system handovertriggered", and a second type of list names "UE Context Release" and including CONTEXT request release cause "redirect" and location type "NR" are illustrated as examples. When the number of the first type of ticket and the second type of ticket of the high-value terminal in the first system in the first time period is greater than or equal to a third threshold (for example, the first time period is 1 natural month, and the third threshold is 50), the device for determining the cell to be optimized determines that the high-value terminal in the first system is the high-backflow terminal in the first system. The device for determining the cell to be optimized subsequently determines the cell of the first system, which meets the first condition, as the first cell, wherein the number of times of initiating switching and redirecting in the first time period in the cell corresponding to the high backflow terminal of the first system is greater than or equal to a fourth threshold value. For example, the device for determining the cell to be optimized determines the first system cells corresponding to each first system high backflow terminal and initiating switching and redirection according to the first type ticket and the second type ticket of the first system high backflow terminal, sorts the first system cells according to the occurrence number, and determines the cells (i.e. the first cells) with the occurrence number greater than or equal to the fourth threshold and meeting the first condition as the high backflow coverage low-efficiency cells.

2) The cell to be optimized has the characteristics of high load capacity inefficiency or the characteristics of split service inefficiency.

In a possible implementation manner, the device for determining the cell to be optimized determines a high-load terminal of a first system in the high-value terminals of the first system according to ticket information of the high-value terminals of the first system, determines a resident cell of the high-load terminal of the first system in a first system cell where the high-load terminal of the first system resides in a first time period, and determines the cell to be optimized in the resident cell.

The first standard flow of the first standard cell generated by the high-load terminal of the first standard in each time unit of N time units is larger than or equal to an eighth threshold value, and N time units are included in the first time period, wherein N is larger than or equal to a ninth threshold value. Illustratively, taking the first period of time as 7 days, the time unit as days, the eighth threshold as 200MB, and the ninth threshold as 5,N as 5 as an example, if during 5 days of 7 days, a terminal generates a 5G traffic in a certain cell every day that is greater than or equal to 200MB, the terminal is a 5G high load terminal. It can be appreciated that the eighth threshold and the ninth threshold may be set according to practical situations, and are not limited.

It can be understood that the XDR ticket of the high-value terminal in the first system includes the START-stop time (T1, T2) of the same frequency/different frequency switching of the terminal in the first system, the source cell and target cell information before and after the switching, the START-stop time (start_ T, END _t) of the data service ticket of the terminal, and the total flow of the first system of the data service ticket. The device for determining the cell to be optimized calculates the duration of the high-value terminal of the first system for carrying out the data service on each first system cell in a first time period according to (T1 and T2), the source cell information and the target cell information before and after switching and (START_ T, END _T), calculates the total first system flow of the duration and the data service ticket according to a duration weighting algorithm, determines the first system flow of the high-value terminal of the first system for carrying out the data service on each first system cell in the first time period, and determines whether the high-value terminal of the first system is a high-load terminal of the first system according to the first system flow of the high-value terminal of the first system for carrying out the data service on each first system cell in the first time period. And then, the device for determining the cell to be optimized determines the resident cell of the high-load terminal of the first system in the first system cell in which the high-load terminal of the first system resides in the first time period. For example, the device for determining the cell to be optimized determines M (e.g. 4) cells with the largest generated flow among the cells of the first system where the high-load terminal of the first system resides in the first time period as resident cells.

It can be understood that, in the case that the cell to be optimized has the high-load capacity inefficiency characteristic and the split service inefficiency characteristic, the process of determining the cell to be optimized by the device for determining the cell to be optimized is different, which is described in detail below.

1. And under the condition that the cell to be optimized has the high-load capacity inefficiency characteristic, determining the process of the cell to be optimized by the device for determining the cell to be optimized.

One possible implementation manner, a physical resource block (physical resource block, PRB) utilization ratio of the to-be-optimized cell in the first period is greater than or equal to a tenth threshold, an average traffic of the to-be-optimized cell in the first period is greater than or equal to an eleventh threshold, a radio resource control (radio resource control, RRC) connection number of the to-be-optimized cell in the first period is greater than or equal to the twelfth threshold, and the to-be-optimized cell satisfies the second condition. The second condition includes that a distance between network equipment to which the cell to be optimized belongs and network equipment to which a cell closest to the cell to be optimized belongs is greater than or equal to a thirteenth threshold value, and a difference between an azimuth angle of the cell to be optimized and an azimuth angle of a neighboring cell of the cell to be optimized is greater than or equal to a fourteenth threshold value and less than or equal to a fifteenth threshold value, or the second condition includes that the network equipment to which the cell to be optimized belongs has a distance less than or equal to a sixteenth threshold value includes a low-load cell of the first system.

The RRC connection number of the low-load cell of the first system in the first time period is smaller than or equal to a twenty-first threshold value, and the PRB utilization rate of the low-load cell of the first system in the first time period is smaller than or equal to a twenty-second threshold value. Optionally, the average flow of the low-load cell of the first system in the first period is less than or equal to a twenty-third threshold.

It can be appreciated that the PRB utilization of the cell to be optimized in the first period may be replaced by the cell traffic self-busy PRB utilization of the cell to be optimized in the first period. The average traffic of the cell to be optimized in the first time period can be replaced by the average traffic of the cell to be optimized when the traffic of the cell to be optimized is busy. The RRC connection number of the cell to be optimized in the first period may be replaced by the RRC connection number when the traffic of the cell to be optimized is busy. The PRB utilization ratio of the low-load cell of the first system in the first period may be replaced by the cell traffic self-busy PRB utilization ratio of the low-load cell of the first system in the first period. The average flow rate of the low-load cell of the first system in the first time period may be replaced by the average flow rate of the low-load cell of the first system when the flow rate of the low-load cell is busy. The RRC connection number of the low load cell of the first system in the first period may be replaced by the RRC connection number of the low load cell traffic of the first system in the self-busy time.

One possible design is that any one of the tenth to sixteenth thresholds may be set according to the actual situation. For example, the first period of time is 1 natural month and the tenth threshold is 50%. The first time period is 1 natural month, the bandwidth of the first standard cell is 100MHz, the eleventh threshold is 100GB, and the twelfth threshold is 100. The first time period is 1 natural month, and in urban scenes, the thirteenth threshold value is 500m; in suburban rural scenarios, the thirteenth threshold is 1000m, the fourteenth threshold is 60 °, and the fifteenth threshold is 180 °. The first time period is 1 natural month, the twenty-first threshold is 20, the twenty-second threshold is 20%, and the twenty-third threshold is 1GB. Alternatively, the sixteenth threshold value may be the same as the thirteenth threshold value.

2. And under the condition that the cell to be optimized has the inefficient characteristic of the shunt service, the device for determining the cell to be optimized determines the process of the cell to be optimized.

In one possible implementation manner, the cell to be optimized is a low-load cell of the first system, and the network device with the distance to the network device to which the cell to be optimized belongs being smaller than or equal to the seventeenth threshold value includes a high-load cell of the second system. The PRB utilization rate of the second-mode high-load cell in the first time period is larger than or equal to an eighteenth threshold value, the average flow rate of the second-mode high-load cell in the first time period is larger than or equal to a nineteenth threshold value, and the RRC connection number of the second-mode high-load cell in the first time period is larger than or equal to a twentieth threshold value.

One possible design is that the seventeenth threshold value, the eighteenth threshold value, the nineteenth threshold value or the twentieth threshold value can be set according to the needs of the user. For example, the first time period is 1 natural month, and in an urban scene, the seventeenth threshold is 500m; in suburban rural scenarios, the seventeenth threshold is 1000m. The eighteenth threshold is 50%. The first time period is 1 natural month, the second system cell bandwidth is 20MHz, and the nineteenth threshold is 1GB. The first time period is 1 natural month and the twentieth threshold is 50.

It will be appreciated that after S203, the operator or the means for determining the cell to be optimized may further optimize the network coverage situation of the first area. For example, if the cell to be optimized has the low-efficiency characteristic of high backflow coverage, the operator can enhance the coverage of the first-system network by adding the first-system base station and/or adjusting the antenna feeder. If the cell to be optimized has the characteristics of high load capacity and low efficiency, an operator can realize the service splitting of the first system base station by adding a new carrier capacity expansion and/or adding the first system base station and the like. If the cell to be optimized has the low-efficiency characteristic of the diversion service, an operator or a device for determining the cell to be optimized can improve the coverage and diversion capacity of the first-system network by adjusting the coverage threshold of the first-system base station and/or the transmitting power of the first-system base station and/or the antenna downtilt angle of the first-system base station, so as to guide more terminals with the first-system capacity to use the first-system network and improve the utilization efficiency of the first-system network and the residence ratio of the first-system network.

It can be appreciated that if the cell to be optimized has more than one characteristic, the operator or the device for determining the cell to be optimized can jointly optimize the network coverage situation of the first area. For example, if the cell to be optimized has the characteristics of low efficiency of high load capacity and low efficiency of traffic splitting, the operator may implement traffic splitting of the first standard base station by adding a new carrier to expand capacity and/or adding the first standard base station, and improve coverage and splitting capacity of the first standard network by adjusting a coverage threshold of the first standard base station and/or transmitting power of the first standard base station and/or antenna downtilt angle of the first standard base station.

It will be appreciated that the more characteristics a cell to be optimized has, the higher the priority of the cell to be optimized, and the operator or the device determining the cell to be optimized may optimize the cell preferentially. For example, cell 1 has high reverse flow coverage inefficiency, cell 2 has high load capacity inefficiency and split traffic inefficiency, and an operator or device determining the cell to be optimized preferentially optimizes cell 2.

Based on the method shown in fig. 2, the device for determining the cell to be optimized may determine a high-value terminal of the first system according to the ticket information of each of the plurality of terminals performing data transmission in the first area in the first period, and determine the cell to be optimized according to the ticket information of the high-value terminal of the first system. The ticket information of each terminal in the plurality of terminals is obtained according to the actual occurrence of the service of the terminal, so that the determined cell to be optimized is consistent with the actual occurrence of the service of the terminal. In addition, the device for determining the cell to be optimized can determine the cell to be optimized of the first system according to the high-value terminal of the first system, so that the determined cell to be optimized of the first system is more accurate.

The embodiment of the application can divide the functional modules or functional units of the device for determining the cell to be optimized according to the method example, for example, each functional module or functional unit can be divided corresponding to each function, and two or more functions can be integrated in one module. The integrated modules may be implemented in hardware, or in software functional modules or functional units. The division of the modules or units in the embodiment of the present application is schematic, which is merely a logic function division, and other division manners may be implemented in practice.

As shown in fig. 3, a schematic structural diagram of an apparatus 30 for determining a cell to be optimized according to an embodiment of the present application is provided, where the apparatus includes: an acquisition module 301 and a processing module 302.

The acquiring module 301 is configured to acquire ticket information of each of a plurality of terminals that perform data transmission in a first area in a first period. For example, the acquisition module 301 is configured to perform S201 described above.

And the processing module 302 is configured to determine a high-value terminal in the first system from the plurality of terminals according to the ticket information. For example, the processing module 302 is configured to execute S202 described above.

The processing module 302 is further configured to determine, according to ticket information of the high-value terminal in the first system, a cell to be optimized, where the cell to be optimized is a cell in the first system, and the cell to be optimized is located in the first area, where the cell to be optimized has at least one of the following characteristics: high reverse flow coverage inefficiency, high load capacity inefficiency, or split traffic inefficiency. For example, the processing module 302 is further configured to execute S203 described above.

A possible design, the processing module 302 is specifically configured to determine, according to a first uplink traffic of a first terminal, a first downlink traffic of the first terminal, a second uplink traffic of the first terminal, a second downlink traffic of the first terminal, a first downlink average user sensing rate of the first terminal, a first uplink average user sensing rate of the first terminal, a second downlink average user sensing rate of the first terminal, and a second uplink average user sensing rate of the first terminal, an expected total traffic corresponding to the first terminal in the first system, where the first terminal is any one of the multiple terminals; the processing module 302 is further specifically configured to determine whether the first terminal is a high-value terminal of the first standard according to the expected total flow.

One possible design contemplates that the total expected flow is greater than or equal to a first threshold and the sum of the second upstream flow and the second downstream flow is greater than or equal to a second threshold.

A possible design, the processing module 302 is further specifically configured to determine, according to ticket information of the high-value terminal of the first system, a high-backflow terminal of the first system among the high-value terminals of the first system, where the number of tickets switched from the first system to the second system in the first time period by the high-backflow terminal of the first system is greater than or equal to a third threshold; the processing module 302 is further specifically configured to determine, according to ticket information of a high backflow terminal of a first system, that a first cell in a first area is a cell to be optimized, where a number of times of switching a terminal in the first cell from the first system to the second system in a first period of time is greater than or equal to a fourth threshold, and the first cell satisfies a first condition, where the first condition includes that a distance between a network device to which the first cell belongs and a network device to which a cell closest to the first cell belongs is greater than or equal to a fifth threshold, and a difference between an azimuth angle of the first cell and an azimuth angle of a neighboring cell of the first cell is greater than or equal to a sixth threshold, and is less than or equal to a seventh threshold.

The processing module 302 is further specifically configured to determine, according to ticket information of the high-value terminal of the first system, a high-load terminal of the first system from the high-value terminals of the first system, where a first-system flow generated by the high-load terminal of the first system in each of N time units is greater than or equal to an eighth threshold, and N time units are included in the first time period, where N is greater than or equal to a ninth threshold. The processing module 302 is further specifically configured to determine, in a first standard cell in which the high-load terminal of the first standard resides in the first time period, a resident cell of the high-load terminal of the first standard. The processing module 302 is further specifically configured to determine a cell to be optimized in the resident cell.

A possible design is that the cell to be optimized has a high-load capacity inefficiency characteristic, a physical resource block PRB utilization ratio of the cell to be optimized in a first period is greater than or equal to a tenth threshold, an average flow of the cell to be optimized in the first period is greater than or equal to an eleventh threshold, a radio resource control RRC connection number of the cell to be optimized in the first period is greater than or equal to a twelfth threshold, and the cell to be optimized satisfies a second condition, where the second condition includes that a distance between a network device to which the cell to be optimized belongs and a network device to which a cell nearest to the cell to be optimized belongs is greater than or equal to the thirteenth threshold, and a difference between an azimuth angle of the cell to be optimized and an azimuth angle of a neighbor cell of the cell to be optimized is greater than or equal to the fourteenth threshold, and is less than or equal to the fifteenth threshold, or the second condition includes that a network device to which a distance from the network device to which the cell to be optimized belongs is less than or equal to the sixteenth threshold includes the low-load cell of the first system.

The cell to be optimized is a low-load cell of a first system, network equipment with a distance smaller than or equal to a seventeenth threshold value from the network equipment to which the cell to be optimized belongs comprises a second system high-load cell, the PRB utilization rate of the second system high-load cell in a first time period is larger than or equal to the eighteenth threshold value, the average flow rate of the second system high-load cell in the first time period is larger than or equal to a nineteenth threshold value, and the RRC connection number of the second system high-load cell in the first time period is larger than or equal to a twentieth threshold value.

One possible design is that the RRC connection number of the low-load cell of the first system in the first period is less than or equal to the twenty-first threshold, and the PRB utilization of the low-load cell of the first system in the first period is less than or equal to the twenty-second threshold.

It will be appreciated that the above-described means for determining the cell to be optimized may also be implemented by hardware. For example, when implemented in hardware, the acquisition module 301 in embodiments of the present application may be integrated on a communication interface, and the processing module 302 may be integrated on a processor. For another example, when implemented in hardware, the acquisition module 301 and the processing module 302 in embodiments of the present application are both integrated on a processor. The hardware configuration may be as shown in fig. 4.

Fig. 4 shows a schematic diagram of one possible hardware configuration of the apparatus for determining a cell to be optimized according to the above embodiment. The switching device includes: a processor 402. Optionally, the apparatus further comprises: a communication interface 403, a memory 401 and a bus 404.

The processor 402 is configured to control and manage actions of the devices determining cells to be optimized, e.g., perform the steps performed by the processing module 302 described above, and/or perform other processes of the techniques described herein. Optionally, the processor 402 may also perform the steps performed by the acquisition module 301. The processor 402 described above may be implemented or executed with various exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, etc.

The communication interface 403 is used to support communication with other network entities, for example, to perform the steps performed by the acquisition module 301 described above.

The memory 401 is used for storing program codes and data for the means for determining the cell to be optimized. For example, memory 401 may be a memory in a computer device or the like, which may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid state disk; the memory may also comprise a combination of the above types of memories.

Bus 404 may be an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, or the like. The bus 404 may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or one type of bus.

Fig. 5 is a schematic structural diagram of a chip 50 according to an embodiment of the present application. The chip 50 includes one or more (including two) processors 501. Optionally, the chip 50 further comprises a communication interface 503, a bus 502 and a memory 504.

Wherein the processor 501 may implement or execute the various exemplary logic blocks, elements and circuits described in connection with the present disclosure. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, units and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, etc.

Memory 504 may include read-only memory and random access memory and provides operating instructions and data to processor 501. A portion of memory 504 may also include non-volatile random access memory (NVRAM).

In some implementations, the memory 504 stores elements, execution modules or data structures, or a subset thereof, or an extended set thereof.

In an embodiment of the present application, the corresponding operation is performed by invoking an operation instruction stored in the memory 504 (which may be stored in an operating system).

Memory 504 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid state disk; the memory may also comprise a combination of the above types of memories.

Bus 502 may be an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus or the like. The bus 502 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one line is shown in fig. 5, but not only one bus or one type of bus.

From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.

Embodiments of the present application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of determining a cell to be optimized in the method embodiments described above.

The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, and when the instructions run on a computer, the computer is caused to execute the method for determining the cell to be optimized in the method flow shown in the method embodiment.

The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access Memory (Random Access Memory, RAM), a Read-Only Memory (ROM), an erasable programmable Read-Only Memory (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 foregoing, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an Application SPECIFIC INTEGRATED Circuit (ASIC). In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Since the apparatus, the computer readable storage medium, and the computer program product in the embodiments of the present application can be applied to the above-mentioned method, the technical effects obtained by the method can also refer to the above-mentioned method embodiments, and the embodiments of the present application are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The present application is not limited to the above embodiments, and any changes or substitutions within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method of determining a cell to be optimized, the method comprising:

Acquiring ticket information of each terminal in a plurality of terminals for data transmission in a first area in a first time period; the ticket information of any one of the plurality of terminals comprises a first uplink flow, a first downlink flow, a second uplink flow, a second downlink flow, a first downlink average user perception rate, a first uplink average user perception rate, a second downlink average user perception rate and a second uplink average user perception rate; the first uplink traffic is an uplink traffic of a first system generated by the terminal in the first time period, the first downlink traffic is a downlink traffic of the first system generated by the terminal in the first time period, the second uplink traffic is an uplink traffic of a second system generated by the terminal in the first time period, the second downlink traffic is a downlink traffic of a second system generated by the terminal in the first time period, the first downlink average user perception rate is a downlink average user perception rate corresponding to the first system in the first time period, the first uplink average user perception rate is an uplink average user perception rate corresponding to the first system in the first time period, the second downlink average user perception rate is a downlink average user perception rate corresponding to the second system in the first time period, and the second uplink average user perception rate is an uplink average user perception rate corresponding to the second system in the first time period;

determining an expected total flow corresponding to a first terminal under the first standard according to a first uplink flow of the first terminal, a first downlink flow of the first terminal, a second uplink flow of the first terminal, a first downlink average user perception rate of the first terminal, a first uplink average user perception rate of the first terminal, a second downlink average user perception rate of the first terminal and a second uplink average user perception rate of the first terminal, wherein the first terminal is any one of the plurality of terminals;

Determining the first terminal as a high-value terminal of the first system when the expected total flow is greater than or equal to a first threshold value and the sum of the second uplink flow and the second downlink flow is greater than or equal to a second threshold value;

Determining a cell to be optimized according to ticket information of the high-value terminal of the first standard, wherein the cell to be optimized is the cell of the first standard, the cell to be optimized is positioned in the first area, and the cell to be optimized has at least one of the following characteristics: high reverse flow coverage inefficiency, high load capacity inefficiency, or split traffic inefficiency.

2. The method according to claim 1, wherein the cell to be optimized has a high reverse flow coverage inefficiency;

The determining the cell to be optimized according to the ticket information of the high-value terminal in the first system comprises the following steps:

Determining a high-backflow terminal of the first system in the high-value terminals of the first system according to ticket information of the high-value terminals of the first system, wherein the number of tickets switched from the first system to the second system in the first time period by the high-backflow terminal of the first system is larger than or equal to a third threshold;

According to ticket information of the high-backflow terminal of the first standard, determining that a first cell in the first area is the cell to be optimized, wherein the number of times of switching the terminal in the first cell from the first standard to the second standard in the first time period is larger than or equal to a fourth threshold value, the first cell meets a first condition, the first condition comprises that the distance between network equipment to which the first cell belongs and network equipment to which a cell closest to the first cell belongs is larger than or equal to a fifth threshold value, and the difference between the azimuth angle of the first cell and the azimuth angle of a neighboring cell of the first cell is larger than or equal to a sixth threshold value and smaller than or equal to a seventh threshold value.

3. The method according to claim 1, wherein the cell to be optimized has a high load capacity inefficiency characteristic, and the determining the cell to be optimized according to ticket information of the high-value terminal of the first system includes:

Determining a high-load terminal of the first system in the high-value terminals of the first system according to ticket information of the high-value terminals of the first system, wherein the flow of the first system generated by the high-load terminal of the first system in each time unit of N time units is greater than or equal to an eighth threshold value, the N time units are included in the first time period, and the N is greater than or equal to a ninth threshold value;

determining a resident cell of the high-load terminal of the first system in a first system cell in which the high-load terminal of the first system resides in the first time period;

and determining the cell to be optimized in the resident cells.

4. A method according to claim 3, characterized in that the physical resource block PRB utilization of the cell to be optimized in the first period is greater than or equal to a tenth threshold, the average traffic of the cell to be optimized in the first period is greater than or equal to an eleventh threshold, the radio resource control RRC connection number of the cell to be optimized in the first period is greater than or equal to a twelfth threshold, and the cell to be optimized satisfies a second condition, the second condition comprising that the distance between the network device to which the cell to be optimized belongs and the network device to which the cell closest to the cell to be optimized belongs is greater than or equal to a thirteenth threshold, and the difference between the azimuth angle of the cell to be optimized and the azimuth angle of the cell to be optimized is greater than or equal to a fourteenth threshold, and is less than or equal to a fifteenth threshold, or the second condition comprising that the network device to which the cell to be optimized belongs is less than or equal to a sixteenth threshold comprises the low load cell of the first system.

5. The method of claim 3, wherein the cell to be optimized has a split service inefficiency characteristic, the cell to be optimized is a low-load cell of the first system, and network equipment with a distance from the network equipment to which the cell to be optimized belongs being less than or equal to a seventeenth threshold value comprises the second system high-load cell, a PRB utilization ratio of the second system high-load cell in the first time period is greater than or equal to an eighteenth threshold value, an average flow rate of the second system high-load cell in the first time period is greater than or equal to a nineteenth threshold value, and an RRC connection number of the second system high-load cell in the first time period is greater than or equal to a twentieth threshold value.

6. The method according to claim 4 or 5, wherein the RRC connection number of the low-load cell of the first system in the first period is less than or equal to a twenty-first threshold, and the PRB utilization of the low-load cell of the first system in the first period is less than or equal to a twenty-second threshold.

7. An apparatus for determining cells to be optimized, comprising: the device comprises an acquisition module and a processing module;

The acquiring module is used for acquiring ticket information of each terminal in the plurality of terminals for data transmission in the first area in the first time period; the ticket information of any one of the plurality of terminals comprises a first uplink flow, a first downlink flow, a second uplink flow, a second downlink flow, a first downlink average user perception rate, a first uplink average user perception rate, a second downlink average user perception rate and a second uplink average user perception rate; the first uplink traffic is an uplink traffic of a first system generated by the terminal in the first time period, the first downlink traffic is a downlink traffic of the first system generated by the terminal in the first time period, the second uplink traffic is an uplink traffic of a second system generated by the terminal in the first time period, the second downlink traffic is a downlink traffic of a second system generated by the terminal in the first time period, the first downlink average user perception rate is a downlink average user perception rate corresponding to the first system in the first time period, the first uplink average user perception rate is an uplink average user perception rate corresponding to the first system in the first time period, the second downlink average user perception rate is a downlink average user perception rate corresponding to the second system in the first time period, and the second uplink average user perception rate is an uplink average user perception rate corresponding to the second system in the first time period;

The processing module is configured to determine, according to a first uplink traffic of a first terminal, a first downlink traffic of the first terminal, a second uplink traffic of the first terminal, a second downlink traffic of the first terminal, a first downlink average user sensing rate of the first terminal, a first uplink average user sensing rate of the first terminal, a second downlink average user sensing rate of the first terminal, and a second uplink average user sensing rate of the first terminal, an expected total traffic corresponding to the first terminal in the first system, where the first terminal is any one of the plurality of terminals;

The processing module is further configured to determine the first terminal as a high-value terminal of the first system when the expected total flow is greater than or equal to a first threshold and a sum of the second uplink flow and the second downlink flow is greater than or equal to a second threshold;

The processing module is further configured to determine a cell to be optimized according to ticket information of the high-value terminal in the first system, where the cell to be optimized is a cell in the first system, and the cell to be optimized is located in the first area, and the cell to be optimized has at least one of the following characteristics: high reverse flow coverage inefficiency, high load capacity inefficiency, or split traffic inefficiency.

8. The apparatus of claim 7, wherein the device comprises a plurality of sensors,

The processing module is further specifically configured to determine, according to ticket information of the high-value terminal of the first system, a high-backflow terminal of the first system in the high-value terminal of the first system, where the number of tickets switched from the first system to the second system in the first time period by the high-backflow terminal of the first system is greater than or equal to a third threshold;

The processing module is further specifically configured to determine, according to ticket information of the high backflow terminal of the first system, that a first cell in the first area is the cell to be optimized, where a number of times of switching the terminal in the first cell from the first system to the second system in the first period is greater than or equal to a fourth threshold, and the first cell satisfies a first condition, where the first condition includes that a distance between a network device to which the first cell belongs and a network device to which a cell closest to the first cell belongs is greater than or equal to a fifth threshold, and a difference between an azimuth angle of the first cell and an azimuth angle of a neighboring cell of the first cell is greater than or equal to a sixth threshold, and is less than or equal to a seventh threshold.

9. The apparatus of claim 7, wherein the device comprises a plurality of sensors,

The processing module is further specifically configured to determine, according to ticket information of the high-value terminal of the first system, a high-load terminal of the first system in the high-value terminal of the first system, where a flow of the first system generated by the high-load terminal of the first system in each time unit of N time units is greater than or equal to an eighth threshold, where the N time units are included in the first time period, and where N is greater than or equal to a ninth threshold;

the processing module is further specifically configured to determine, in a first standard cell in which the high-load terminal of the first standard resides in the first time period, a resident cell of the high-load terminal of the first standard;

the processing module is further specifically configured to determine the cell to be optimized in the resident cell.

10. The apparatus of claim 9, wherein the cell to be optimized has a high load capacity inefficiency characteristic, wherein a physical resource block PRB utilization ratio of the cell to be optimized in the first period is greater than or equal to a tenth threshold, wherein an average traffic of the cell to be optimized in the first period is greater than or equal to an eleventh threshold, wherein a radio resource control RRC connection number of the cell to be optimized in the first period is greater than or equal to a twelfth threshold, and wherein the cell to be optimized satisfies a second condition, wherein the second condition comprises a distance between a network device to which the cell to be optimized belongs and a network device to which a nearest cell to the cell to be optimized belongs being greater than or equal to a thirteenth threshold, and wherein a difference between an azimuth angle of the cell to be optimized and an azimuth angle of a neighboring cell of the cell to be optimized is greater than or equal to a fourteenth threshold, and is less than or equal to a fifteenth threshold, or wherein the second condition comprises the network device to which a network device to which the cell to be optimized belongs is less than or equal to a sixteenth threshold.

11. The apparatus of claim 9, wherein the cell to be optimized has a split service inefficiency characteristic, the cell to be optimized is a low-load cell of the first system, and network equipment with a distance from the network equipment to which the cell to be optimized belongs being less than or equal to a seventeenth threshold value comprises the second system high-load cell, a PRB utilization ratio of the second system high-load cell in the first time period is greater than or equal to an eighteenth threshold value, an average flow rate of the second system high-load cell in the first time period is greater than or equal to a nineteenth threshold value, and an RRC connection number of the second system high-load cell in the first time period is greater than or equal to a twentieth threshold value.

12. The apparatus of claim 10 or 11, wherein the RRC connection number of the low-load cell of the first system in the first period is less than or equal to a twenty-first threshold, and wherein the PRB utilization of the low-load cell of the first system in the first period is less than or equal to a twenty-second threshold.

13. An apparatus for determining cells to be optimized, comprising: a processor coupled to a memory for storing a program or instructions that, when executed by the processor, cause the apparatus to perform the method of any one of claims 1 to 6.

14. A computer readable storage medium having instructions stored therein, characterized in that when executed by a computer, the computer performs the method of any of the preceding claims 1 to 6.