Cell determination method, apparatus and readable storage medium

Abstract

This application provides a cell determination method, apparatus, and readable storage medium, relating to the field of communication technology, and can solve the problem of poor accuracy in determining cells to be frequency-reduced. The method includes: determining a target cell as a cell to be frequency-reduced if the target parameters of the target cell meet the frequency reduction conditions; the target parameters include: downlink average resource utilization, downlink average traffic volume, a first percentage, uplink average resource utilization, uplink average traffic volume, and a second percentage; wherein the first percentage is the sum of the downlink traffic volume percentages corresponding to the downlink traffic volume percentages of each first downlink service type in the target cell; the second percentage is the sum of the uplink traffic volume percentages corresponding to the uplink traffic volume percentages of each first uplink service type in the target cell. This application is used in the cell determination process.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, and particularly relates to a cell determination method and device and a readable storage medium. BACKGROUND

[0002] At present, before frequency reduction of a cell, a network side device can determine whether the cell can be subjected to frequency reduction based on resource utilization of the cell. For example, if the resource utilization of the cell is less than a preset resource utilization, it is determined that the cell can be subjected to frequency reduction.

[0003] However, since part of the traffic volume of the cell can be carried by a 5th Generation Mobile Communication Technology (5G) network after deployment of the 5G network, or part of the traffic volume of the cell can be carried by an existing other frequency band cell, after frequency reduction of the cell, the resource utilization of the cell is further reduced. Thus, only determining whether the cell can be subjected to frequency reduction based on the resource utilization of the cell can result in poor accuracy of determining the cell to be subjected to frequency reduction. SUMMARY

[0004] The present application provides a cell determination method, device and readable storage medium, which can solve the problem of poor accuracy of determining the cell to be subjected to frequency reduction.

[0005] To achieve the above object, the present application adopts the following technical solutions:

[0006] In a first aspect, the present application provides a cell determination method, which comprises: determining a target cell as a cell to be subjected to frequency reduction in a case where a target parameter of the target cell meets a frequency reduction condition; the target parameter comprises: a downlink average resource utilization, a downlink average traffic volume, a first proportion, an uplink average resource utilization, an uplink average traffic volume and a second proportion; wherein the first proportion is a sum of downlink traffic volume proportions corresponding to downlink traffic proportions of each first downlink service type in the target cell; and the second proportion is a sum of uplink traffic volume proportions corresponding to uplink traffic proportions of each first uplink service type in the target cell.

[0007] Based on the above technical solutions, the cell determination method provided by the present application can determine the target cell as the cell to be subjected to frequency reduction in a case where the downlink average resource utilization, the downlink average traffic volume, the first proportion, the uplink average resource utilization, the uplink average traffic volume and the second proportion of the target cell meet the frequency reduction condition, that is, the target cell can be determined as the cell to be subjected to frequency reduction based on multiple parameters, so that the accuracy of determining the cell to be subjected to frequency reduction can be improved.

[0008] In a first possible implementation manner of the first aspect, the frequency reduction condition is that each of the target parameters is less than or equal to a respective corresponding parameter threshold.

[0009] In a second possible implementation manner of the first aspect, the target parameters are parameters within a preset time.

[0010] In a third possible implementation manner of the first aspect, each of the downlink traffic volume proportion of each first downlink service type and the uplink traffic volume proportion of each first uplink service type is greater than or equal to a respective corresponding proportion threshold.

[0011] In a fourth possible implementation manner of the first aspect, the downlink average resource utilization and the downlink average traffic volume are parameters corrected based on target information; and / or, the uplink average resource utilization and the uplink average traffic volume are parameters corrected based on target information; wherein the target information comprises terminal capability information residing in the target cell and inter-frequency cell information of the co-sited coverage.

[0012] In a fifth possible implementation manner of the first aspect, before the target cell is determined as the to-be-reduced-frequency cell in a case where the target parameters of the target cell satisfy the frequency reduction condition, the cell determination method provided by the embodiments of the present application further comprises: determining N downlink service types and M uplink service types according to minimum transmission rates required by each service in the target cell, wherein N and M are positive integers; obtaining a third proportion and a fourth proportion; wherein the third proportion comprises a downlink traffic volume proportion of each downlink service type in the N downlink service types and a downlink traffic proportion corresponding to each downlink traffic volume proportion, and the fourth proportion comprises an uplink traffic volume proportion of each uplink service type in the M uplink service types and an uplink traffic proportion corresponding to each uplink traffic volume proportion; the N downlink service types comprise each first downlink service type, and the M uplink service types comprise each first uplink service type.

[0013] In a sixth possible implementation manner of the first aspect, after the third proportion and the fourth proportion are obtained, the cell determination method provided by the embodiments of the present application further comprises: obtaining a first downlink traffic proportion based on a first parameter and a first uplink traffic proportion based on a second parameter; determining the downlink traffic volume proportion of each first downlink service type from the first downlink traffic proportion and the uplink traffic volume proportion of each first uplink service type from the first uplink traffic proportion; wherein the first downlink traffic proportion is a downlink traffic volume proportion of each downlink service type after the target cell is reduced in frequency, and the first uplink traffic proportion is an uplink traffic volume proportion of each uplink service type after the target cell is reduced in frequency.

[0014] In the seventh possible implementation of the first aspect, the first parameter includes downlink average resource utilization, downlink average traffic volume, downlink average speed, and the downlink traffic volume percentage of each of the aforementioned downlink services; and / or, the second parameter includes uplink average resource utilization, uplink average traffic volume, uplink average speed, and the uplink traffic volume percentage of each of the aforementioned uplink services.

[0015] Secondly, this application provides a cell determination device, which includes a determination module. The determination module is used to determine a target cell as a cell to be frequency-reduced when the target parameters of the target cell meet the frequency reduction conditions. The target parameters include: downlink average resource utilization, downlink average traffic volume, a first percentage, uplink average resource utilization, uplink average traffic volume, and a second percentage. The first percentage is the sum of the downlink traffic volume percentages corresponding to the downlink traffic volume percentages of each first downlink service type in the target cell. The second percentage is the sum of the uplink traffic volume percentages corresponding to the uplink traffic volume percentages of each first uplink service type in the target cell.

[0016] In the first possible implementation of the second aspect, the above frequency reduction condition is: each parameter in the target parameters is less than or equal to its corresponding parameter threshold value.

[0017] In the second possible implementation of the second aspect, the target parameter is a parameter within a preset time period.

[0018] In the third possible implementation of the second aspect, the proportion of downlink traffic for each of the first downlink business types and the proportion of uplink traffic for each of the first uplink business types are both greater than or equal to their respective proportion threshold values.

[0019] In the fourth possible implementation of the second aspect, the downlink average resource utilization rate and downlink average traffic volume are both parameters corrected based on target information; and / or, the uplink average resource utilization rate and the uplink average traffic volume are both parameters corrected based on target information; wherein, the target information includes: terminal capability information residing in the target cell, and information on co-located inter-frequency cells.

[0020] In the fifth possible implementation of the second aspect, the cell determination device may further include an acquisition module; the determination module is further configured to determine N downlink service types and M uplink service types based on the minimum transmission rate required for each service in the target cell before determining the target cell as the cell to be frequency-reduced, provided that the target parameters of the target cell meet the aforementioned frequency reduction conditions; N and M are both positive integers; the acquisition module is configured to acquire a third proportion and a fourth proportion; wherein the third proportion is: the downlink service volume proportion of each of the N downlink service types and the downlink traffic proportion corresponding to each downlink service volume proportion; the fourth proportion is: the uplink service volume proportion of each of the M uplink service types and the uplink traffic proportion corresponding to each uplink service volume proportion; the N downlink service types include each of the aforementioned first downlink service types, and the M uplink service types include each of the aforementioned first uplink service types.

[0021] In a sixth possible implementation of the second aspect, the cell determination device may further include an estimation module; the estimation module is configured to estimate a first downlink traffic percentage based on a first parameter and a first uplink traffic percentage based on a second parameter after the acquisition module acquires the third and fourth percentages; the determination module is further configured to determine the downlink traffic percentage of each of the first downlink service types from the first downlink traffic percentage and the uplink traffic percentage of each of the first uplink service types from the first uplink traffic percentage; wherein the first downlink traffic percentage is: the downlink traffic percentage of each of the downlink service types after the target cell frequency is reduced; the first uplink traffic percentage is: the uplink traffic percentage of each of the uplink service types after the target cell frequency is reduced.

[0022] In the seventh possible implementation of the second aspect, the first parameter includes downlink average resource utilization, downlink average traffic volume, downlink average speed, and the downlink traffic volume percentage of each of the above downlink services; and / or, the second parameter includes uplink average resource utilization, uplink average traffic volume, uplink average speed, and the uplink traffic volume percentage of each of the above uplink services.

[0023] Thirdly, this application provides a cell determination apparatus, which includes: a processor and a communication interface; the communication interface and the processor are coupled, and the processor is used to run computer programs or instructions to implement the cell determination method as described in the first aspect and any possible implementation thereof.

[0024] Fourthly, this application provides a computer-readable storage medium storing instructions that, when executed on a terminal, cause the terminal to perform the cell determination method as described in the first aspect and any possible implementation thereof.

[0025] Fifthly, this application provides a computer program product containing instructions that, when run on a cell determination device, cause the cell determination device to perform the cell determination method as described in the first aspect and any possible implementation thereof.

[0026] In a sixth aspect, this application provides a chip including a processor and a communication interface, the communication interface and the processor being coupled together, the processor being used to run computer programs or instructions to implement the cell determination method as described in the first aspect and any possible implementation thereof.

[0027] Specifically, the chip provided in this application also includes a memory for storing computer programs or instructions. Attached Figure Description

[0028] Figure 1 A flowchart illustrating a cell determination method provided in this application embodiment;

[0029] Figure 2 This is a schematic diagram of the structure of a cell determination device provided in an embodiment of this application;

[0030] Figure 3 This is a schematic diagram of another cell determination device provided in an embodiment of this application;

[0031] Figure 4 This is a schematic diagram of the structure of a chip provided in an embodiment of this application. Detailed Implementation

[0032] The cell determination method and apparatus provided in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0033] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0034] The terms "first" and "second," etc., used in the specification and drawings of this application are used to distinguish different objects or to distinguish different treatments of the same object, rather than to describe a specific order of objects.

[0035] Furthermore, the terms "comprising" and "having," and any variations thereof, used in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0036] It should be noted that in the embodiments of this application, the words "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0037] In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0038] 5G is a new generation of broadband mobile communication technology characterized by high speed, low latency, and massive connectivity. It is also the network infrastructure for realizing the interconnection of humans, machines, and things. Currently, commercial 5G networks mainly use mid-to-high frequency bands. Higher spectrum can acquire more bandwidth resources, resulting in higher experience speeds. However, the propagation characteristics of wireless signals are such that the higher the frequency, the greater the spatial loss during propagation. Therefore, to achieve the same coverage performance, a higher density of base stations and greater investment are required. Especially for areas with low traffic, building dense mid-to-high frequency 5G base stations for coverage is difficult to recoup the investment and contradicts the green and carbon-neutral development direction. Therefore, the construction of high-quality low-frequency 5G networks has been put on the agenda by operators. This involves building 5G networks in the 700M-900M frequency band to cover rural areas with low traffic or to provide basic coverage in urban areas, thereby improving the overall coverage performance of 5G networks.

[0039] However, low-frequency band resources are scarce in the current network. Many areas have already deployed 4G networks, occupying 10MHz of bandwidth. If 5G networks are to be deployed, it is necessary to reduce the frequency of the 4G network, that is, reduce the current 10MHz bandwidth of the Long Term Evolution (LTE) 900 system to 5MHz or even 3MHz bandwidth, and use the freed-up frequency resources for 5G system deployment. When reducing the frequency of a cell, the current method mainly relies on the cell's resource utilization rate to determine whether frequency resources can be refarmed. For example, if the LTE cell's resource utilization rate is below a certain threshold, it is considered that the actual resources required by the LTE system are less than the configured resources, and some resources can be freed up for the deployment of the 5G system. However, on the one hand, judging the amount of resources to be relocated solely based on resource utilization is too conservative. Some existing traffic may be carried by 5G networks after deployment, or some may be carried by existing cells on other frequency bands. This means that if refarming occurs, the resource utilization of existing low-frequency LTE cells may further decrease, resulting in resource waste. On the other hand, judging the amount of resources to be relocated based on resource utilization fails to consider actual user experience. For example, if a cell has a high proportion of ultra-high-definition video services, requiring a single-user speed higher than 2Mbps, even if the LTE cell's resource utilization is below the threshold, refarming will severely impact the ultra-high-definition video service experience. Therefore, determining whether a cell can be frequency-reduced solely based on its resource utilization leads to poor accuracy in identifying cells to be frequency-reduced.

[0040] To address the problem of inaccurate identification of cells to be frequency-reduced in existing technologies, this application provides a cell determination method. This method identifies a target cell as a cell to be frequency-reduced if its target parameters meet the frequency reduction conditions. The target parameters include: downlink average resource utilization, downlink average traffic volume, a first percentage, uplink average resource utilization, uplink average traffic volume, and a second percentage. The first percentage is the sum of the downlink traffic proportions corresponding to the downlink traffic volume proportions of each first downlink service type in the target cell; the second percentage is the sum of the uplink traffic proportions corresponding to the uplink traffic volume proportions of each first uplink service type in the target cell. This method improves the accuracy of identifying cells to be frequency-reduced because it allows for comprehensive determination based on multiple parameters, enabling the identification of a target cell as a cell to be frequency-reduced.

[0041] The cell determination method provided in this application can be applied to the determination of cells to be frequency-reduced. The following detailed explanation, with reference to the accompanying drawings and using a network-side device executing the method as an example, illustrates the cell determination method provided in this application in detail.

[0042] like Figure 1 The diagram shows a flowchart of a cell determination method provided in an embodiment of this application, which includes the following step 101.

[0043] Step 101: If the target parameters of the target cell meet the frequency reduction conditions, the network-side equipment determines the target cell as the cell to be frequency reduced.

[0044] In this embodiment of the application, the target parameters include: downlink average resource utilization rate, downlink average traffic volume, first percentage, uplink average resource utilization rate, uplink average traffic volume, and second percentage.

[0045] The first percentage is the sum of the downlink traffic percentages corresponding to the downlink traffic volume percentages of each first downlink service type in the target cell; the second percentage is the sum of the uplink traffic percentages corresponding to the uplink traffic volume percentages of each first uplink service type in the target cell.

[0046] Optionally, in this embodiment of the application, each of the first downlink service types can correspond to a guaranteed downlink rate, and the downlink service volume ratio of each of the first downlink service types can be the ratio between the service volume with a downlink rate less than or equal to the corresponding guaranteed downlink rate and the total downlink service volume of the target cell.

[0047] Optionally, in this embodiment of the application, each of the first uplink service types can correspond to a guaranteed uplink rate, and the uplink service volume ratio of each of the first uplink service types can be the ratio between the service volume with an uplink rate less than or equal to the corresponding guaranteed uplink rate and the total uplink service volume of the target cell.

[0048] Optionally, in the embodiments of this application, the proportion of downlink traffic for each first downlink business type and the proportion of uplink traffic for each first uplink business type are both greater than or equal to their respective proportion threshold values.

[0049] Optionally, in this embodiment of the application, each percentage threshold can be preset, and each percentage threshold is related to its corresponding business type.

[0050] Optionally, in this embodiment of the application, when the downlink traffic volume ratio of each first downlink service type and the uplink traffic volume ratio of each first uplink service type are both greater than or equal to their respective corresponding ratio threshold values, it can be determined that the service experience of each first downlink service type and each first uplink service type may be affected after the frequency of the target cell is reduced.

[0051] In this embodiment of the application, since the downlink traffic volume ratio of each first downlink service type and the uplink traffic volume ratio of each first uplink service type are both greater than or equal to their respective ratio threshold values, the first ratio and the second ratio are both related to the services that may be affected by the frequency reduction, thereby improving the accuracy of the determination of whether the target cell is a cell to be reduced in frequency.

[0052] Optionally, in the embodiments of this application, the aforementioned downlink average resource utilization rate and downlink average traffic volume can both be parameters corrected based on target information; and / or, the aforementioned uplink average resource utilization rate and uplink average traffic volume can both be parameters corrected based on target information.

[0053] The aforementioned target information includes: terminal capability information residing in the aforementioned target cell, and information on inter-frequency cells with co-site coverage.

[0054] It should be noted that when the target parameters do not meet the frequency reduction conditions, the target cell cannot be directly identified as a cell to be frequency reduced. Therefore, the downlink average resource utilization and downlink average traffic volume can be corrected based on the target information, and it can be determined whether the corrected target parameters meet the frequency reduction conditions. If they do, the target cell is identified as a cell to be frequency reduced; otherwise, the target cell is not frequency reduced.

[0055] The following example illustrates the specific method by which network-side devices correct downlink average resource utilization and downlink average traffic volume, using the aforementioned downlink average resource utilization and downlink average traffic volume as parameters corrected based on target information.

[0056] For example, assuming the downlink average resource utilization rate is rdl and the downlink average traffic volume is sdl, then the corrected downlink average traffic volume sdl' can be obtained by the following formula (1):

[0057] sdl' = sdl - ssdl; (1)

[0058] Wherein, SSDL represents the traffic volume that can be migrated to other frequency bands or systems, and SSDL can be obtained by the following formula (2):

[0059] ssdl=ssnrdl+ssltedl;(2)

[0060] Wherein, ssnrdl represents the downlink traffic that can be migrated to the 5G system, and ssltedl represents the downlink traffic that can be migrated to other frequency band LTE cells covered by the same site; and ssnrdl can be obtained by the following formula (3):

[0061] ssnrdl=sdl×rnrue;(3)

[0062] Wherein, rnrue represents the proportion of 5G communication terminals supporting refarmed frequency bands, rnrue = nnr / nue, where nnr is the number of terminals camped in the LTE cell over the past n days that support 5G communication in the refarmed frequency band, and nue is the total number of terminals camped in the cell over the past n days. nnr and nue can be statistically analyzed based on the IMEI information of terminals camped in the cell. Specifically, first, all IMEIs camped in the cell over the past n days are obtained and deduplicated to obtain the total number of terminals camped in the cell, nue. Then, based on the tac field in the IMEI, it is determined whether the terminal supports 5G communication in the refarmed frequency band, resulting in the nnr value.

[0063] The above ssltedl represents the traffic volume that can be migrated to an inter-frequency LTE cell co-located with the cell to be frequency-reduced. If the cell to be frequency-reduced does not have an inter-frequency LTE cell co-located with it, then ssltedl = 0. If the cell to be frequency-reduced has an inter-frequency LTE cell co-located with it, then the busy time measurement reports of the cell to be frequency-reduced over the past n days and the busy time traffic volume of the inter-frequency LTE cell co-located with it are further obtained to calculate ssltedl: ssltedl = min(ssltedlc1, ssltedlc2);

[0064] Among them, ssltedlc1 is the traffic volume that can be migrated to the co-located cell based on coverage capability, and ssltedlc2 is the traffic volume that can be migrated to the co-located cell based on capacity capability.

[0065] Specifically, based on coverage capability, the traffic volume ssltedlc1 of the inter-frequency LTE cell that can be migrated to the co-site coverage is calculated using the following formula (4).

[0066] ssltedlc1=(sdl-ssnrdl)×rc; (4)

[0067] Where rc = nrsrp1 / nrsrp, nrsrp is the number of sampling points for the total reference signal receiving power (rsrp) in the busy hour measurement report (MR) of the LTE cell to be frequency-reduced over the past n days, nrsrp1 is the number of sampling points in the busy hour measurement report (MR) of the LTE cell to be frequency-reduced over the past n days where rsrp is greater than or equal to RSRP1; RSRP1 = RSRPe + δ, RSRPe is the minimum RSRP value required to meet service experience.

[0068] Then, ssltedlc2 is calculated using the following formula (5):

[0069] ssltedlc2=ssdlmax-ssdlr; (5)

[0070] Among them, ssdlmax is the theoretical maximum traffic volume that a co-located cell can support per hour, which can be obtained through simulation or experimental data, and ssdlr is the average busy hour traffic volume of the co-located cell over the past n days.

[0071] Therefore, after calculating the correction value sdl' of sdl, the correction value rdl' of rdl can be further determined by the following formula (6):

[0072] rdl'=rdl×(sdl' / sdl)×α; (6)

[0073] Where α is the correction factor (for example, α is 1.1).

[0074] Thus, after obtaining sdl' and rdl', it can be determined whether sdl', rdl', the first proportion, the average uplink resource utilization rate, the average uplink traffic volume, and the second proportion meet the above frequency reduction conditions. If they are met, the target cell can be identified as the cell to be frequency reduced.

[0075] In this embodiment of the application, since the above-mentioned downlink average resource utilization rate and downlink average traffic volume, and / or the above-mentioned uplink average resource utilization rate and uplink average traffic volume can all be parameters corrected based on target information, the accuracy of determining the cell to be frequency reduced can be further improved.

[0076] Optionally, in this embodiment of the application, the target parameter can be a parameter within a preset time period.

[0077] Optionally, in this embodiment of the application, the preset time can be any time, for example, the preset time can be the busy period within the most recent week, or it can be the 24-hour period within the most recent 3 days, etc.

[0078] Optionally, in the embodiments of this application, the aforementioned preset time can be preset or determined according to actual needs, and the embodiments of this application do not limit it.

[0079] In this embodiment of the application, since the target parameters can be parameters within a preset time period, it is possible to determine whether the target cell is a cell to be frequency-reduced based on the target parameters within the required time period, thereby improving the flexibility of determining the cell to be frequency-reduced.

[0080] Optionally, in this embodiment of the application, the above-mentioned frequency reduction condition may be: each of the above-mentioned target parameters is less than or equal to its corresponding parameter threshold value.

[0081] In this embodiment of the application, since the above frequency reduction condition can be that each of the above target parameters is less than or equal to its corresponding parameter threshold value, the relationship between each parameter and its corresponding parameter threshold value can be used to determine whether the target cell is a cell to be reduced in frequency, thereby improving the convenience of determining the cell to be reduced in frequency.

[0082] In the cell determination method provided in this application embodiment, since the target cell can be determined as a cell to be frequency reduced when the downlink average resource utilization rate, downlink average traffic volume, first proportion, uplink average resource utilization rate, uplink average traffic volume and second proportion of the target cell meet the frequency reduction conditions, that is, the target cell can be determined as a cell to be frequency reduced based on multiple parameters, thus improving the accuracy of determining the cell to be frequency reduced.

[0083] Optionally, in the embodiments of this application, before step 101 above, the cell determination method provided in the embodiments of this application may further include the following steps 102 and 103.

[0084] Step 102: The network-side equipment determines N downlink service types and M uplink service types based on the minimum transmission rate required for each service in the target cell.

[0085] Where N and M are both positive integers.

[0086] Optionally, in this embodiment of the application, each of the above N downlink service types and M uplink service types corresponds to one type of service.

[0087] For example, taking the above N downlink service types as an example, these N downlink service types can include: instant messaging, downloading, browsing, and video, etc.

[0088] Optionally, in this embodiment of the application, the minimum transmission rate required for a service is the minimum transmission rate that can guarantee the service experience of the service.

[0089] Step 103: The network-side device obtains the third and fourth percentages.

[0090] The third percentage is: the percentage of downlink business volume for each of the above N downlink business types, and the percentage of downlink traffic corresponding to each percentage of downlink business volume; the fourth percentage is: the percentage of uplink business volume for each of the above M uplink business types, and the percentage of uplink traffic corresponding to each percentage of uplink business volume.

[0091] In this embodiment of the application, the above-mentioned N downlink service types include each of the above-mentioned first downlink service types, and the above-mentioned M uplink service types include each of the above-mentioned first uplink service types.

[0092] In this embodiment of the application, before determining the target cell as a cell to be frequency-reduced, the network-side device can first determine the above-mentioned N downlink service types and M uplink service types based on the minimum transmission rate required for each service in the target cell, and obtain the above-mentioned third proportion and fourth proportion. Therefore, the cell to be frequency-reduced can be determined based on several service categories, thereby simplifying the process of determining the cell to be frequency-reduced.

[0093] Optionally, in this embodiment of the application, after step 103 above, the cell determination method provided in this embodiment of the application may further include the following steps 104 and 105.

[0094] Step 104: The network-side device estimates the first downlink traffic percentage based on the first parameter and estimates the first uplink traffic percentage based on the second parameter.

[0095] The first downlink traffic share is the percentage of downlink traffic for each of the above downlink service types after the target cell frequency is reduced; the first uplink traffic share is the percentage of uplink traffic for each of the above uplink service types after the target cell frequency is reduced.

[0096] Optionally, in this embodiment of the application, the first parameter includes the aforementioned downlink average resource utilization rate, downlink average traffic volume, downlink average speed, and the downlink traffic volume percentage of each downlink service; and / or, the second parameter includes the aforementioned uplink average resource utilization rate, uplink average traffic volume, uplink average speed, and the uplink traffic volume percentage of each uplink service.

[0097] In this embodiment of the application, since the first parameter may include the aforementioned downlink average resource utilization rate, downlink average traffic volume, downlink average speed and downlink traffic volume percentage of each downlink service, and / or the second parameter may include the aforementioned uplink average resource utilization rate, uplink average traffic volume, uplink average speed and uplink traffic volume percentage of each uplink service, the first downlink traffic percentage and the first uplink traffic percentage can be estimated by multiple parameters respectively, thereby improving the accuracy of estimating the first downlink traffic percentage and the first uplink traffic percentage.

[0098] The following is an exemplary description of a specific method by which network-side devices estimate the first downlink traffic percentage based on the first parameter.

[0099] For example, assuming the target cell includes three downlink service types, the network-side equipment can estimate the first downlink traffic proportion (including THPdl1', THPdl2', and THPdl3') based on the above-mentioned downlink average resource utilization, downlink average traffic volume, downlink average rate, and downlink traffic volume proportion of each downlink service using the following formulas (7) to (9):

[0100] THPdl1'=A1×rdl+B1×sdl+C1×kdl+D1×THPdl1+E1; (7)

[0101] THPdl2'=A2×rdl+B2×sdl+C2×kdl+D2×THPdl2+E2; (8)

[0102] THPdl3'=A3×rdl+B3×sdl+C3×kdl+D3×THPdl3+E3; (9)

[0103] Where rdl is the average downlink resource utilization rate of the cell to be frequency reduced during the past n days of busy hours, sdl is the average downlink traffic volume during the past n days of busy hours, kdl is the average downlink rate during the past n days of busy hours, THPdl1, THPdl2, and THPdl3 are the proportion of low rate during the past n days of busy hours (i.e., the proportion of downlink traffic volume), A1, A2, A3, B1, B2, B3, C1, C2, C3, D1, D2, D3, E1, E2, and E3 are constants (determined through training with test data from the pilot area).

[0104] It should be noted that if the target cell includes N downlink service types, the first downlink traffic percentage can be estimated by using the above formula (7) until the calculation reaches THPdln'=An×rdl+Bn×sdl+Cn×kdl+Dn×THPdln+En.

[0105] For a detailed description of how the network-side device estimates the first uplink traffic percentage based on the second parameter, please refer to the relevant description in the above-mentioned specific method for estimating the first downlink traffic percentage by the network-side device. To avoid repetition, it will not be repeated here.

[0106] Step 105: The network-side device determines the downlink traffic volume ratio of each first downlink service type from the first downlink traffic ratio, and determines the uplink traffic volume ratio of each first uplink service type from the first uplink traffic ratio.

[0107] Optionally, in this embodiment of the application, the network-side device may determine the downlink traffic proportion that is greater than or equal to its corresponding proportion threshold value in the first downlink traffic proportion as the downlink traffic proportion of each of the first downlink service types; and determine the uplink traffic proportion that is greater than or equal to its corresponding proportion threshold value in the first uplink traffic proportion as the downlink traffic proportion of each of the first uplink service types.

[0108] In this embodiment of the application, since the network-side device can determine the downlink traffic volume ratio of each of the first downlink service types from the first downlink traffic volume ratio estimated based on the first parameter, and determine the uplink traffic volume ratio of each of the first uplink service types from the first uplink traffic volume ratio estimated based on the second parameter, the accuracy of determining the downlink traffic volume ratio of each of the first downlink service types and the uplink traffic volume ratio of each of the first uplink service types can be improved.

[0109] This application embodiment can divide the cell determination device into functional modules or functional units according to the above method example. For example, each function can be divided into a separate functional module or functional unit, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or in software functional modules or functional units. The module or unit division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0110] like Figure 2 The diagram shows a structural schematic of a cell determination device provided in an embodiment of this application. The device includes a determination module 201. The determination module 201 is used to determine a target cell as a cell to be frequency-reduced when the target parameters of the target cell meet the frequency reduction conditions. The target parameters include: downlink average resource utilization, downlink average traffic volume, a first percentage, uplink average resource utilization, uplink average traffic volume, and a second percentage. The first percentage is the sum of the downlink traffic volume percentages corresponding to the downlink traffic volume percentages of each first downlink service type in the target cell; the second percentage is the sum of the uplink traffic volume percentages corresponding to the uplink traffic volume percentages of each first uplink service type in the target cell.

[0111] In one possible implementation, the above frequency reduction condition can be: each parameter in the target parameters is less than or equal to its corresponding parameter threshold value.

[0112] In one possible implementation, the target parameter can be a parameter within a preset time period.

[0113] In one possible implementation, the proportion of downlink traffic for each of the first downlink business types and the proportion of uplink traffic for each of the first uplink business types are both greater than or equal to their respective proportion threshold values.

[0114] In one possible implementation, the aforementioned downlink average resource utilization and downlink average traffic volume are parameters corrected based on target information; and / or, the aforementioned uplink average resource utilization and uplink average traffic volume are parameters corrected based on target information; wherein, the target information includes: terminal capability information residing in the target cell, and information on co-located inter-frequency cells.

[0115] In one possible implementation, the cell determination device may further include an acquisition module. The determination module 201 may also be used to determine N downlink service types and M uplink service types based on the minimum transmission rate required for each service in the target cell before determining the target cell as the cell to be frequency-reduced, provided that the target parameters of the target cell meet the aforementioned frequency reduction conditions. N and M are both positive integers. The acquisition module may be used to acquire a third proportion and a fourth proportion. The third proportion is: the downlink traffic volume proportion of each of the N downlink service types, and the downlink traffic proportion corresponding to each downlink traffic volume proportion; the fourth proportion is: the uplink traffic volume proportion of each of the M uplink service types, and the uplink traffic proportion corresponding to each uplink traffic volume proportion. The N downlink service types include each of the aforementioned first downlink service types, and the M uplink service types include each of the aforementioned first uplink service types.

[0116] In one possible implementation, the cell determination device may further include an estimation module. The estimation module may be used to estimate a first downlink traffic percentage based on a first parameter and a first uplink traffic percentage based on a second parameter after the acquisition module obtains the third and fourth percentages. The determination module 201 may also be used to determine the downlink traffic volume percentage of each of the first downlink service types from the first downlink traffic percentage and to determine the uplink traffic volume percentage of each of the first uplink service types from the first uplink traffic percentage; wherein the first downlink traffic percentage is the downlink traffic volume percentage of each of the downlink service types after frequency reduction of the target cell; and the first uplink traffic percentage is the uplink traffic volume percentage of each of the uplink service types after frequency reduction of the target cell.

[0117] In one possible implementation, the first parameter includes downlink average resource utilization, downlink average traffic volume, downlink average speed, and the downlink traffic volume percentage of each of the above downlink services; and / or, the second parameter includes uplink average resource utilization, uplink average traffic volume, uplink average speed, and the uplink traffic volume percentage of each of the above uplink services.

[0118] When implemented in hardware, the determining module 201 in this embodiment can be integrated onto the processor. The specific implementation method is as follows: Figure 3 As shown.

[0119] Figure 3A schematic diagram of another possible structure of the cell determination device involved in the above embodiments is shown. The cell determination device includes a processor 302 and a communication interface 303. The processor 302 is used to control and manage the operation of the cell determination device, for example, executing the steps performed by the determination module 201, and / or performing other processes of the technology described herein. The cell determination device may also include a memory 301 and a bus 304, the memory 301 being used to store the program code and data of the cell determination device.

[0120] The memory 301 may be a memory in a cell determination device, and the memory 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 drive; the memory may also include a combination of the above types of memory.

[0121] The processor 302 described above can implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor can be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor can also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0122] Bus 304 can be an Extended Industry Standard Architecture (EISA) bus, etc. Bus 304 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0123] Figure 4 This is a schematic diagram of the structure of chip 170 provided in an embodiment of this application. Chip 170 includes one or more (including two) processors 1710 and communication interfaces 1730.

[0124] Optionally, the chip 170 also includes a memory 1740, which may include read-only memory and random access memory, and provides operation instructions and data to the processor 1710. A portion of the memory 1740 may also include non-volatile random access memory (NVRAM).

[0125] In some implementations, memory 1740 stores elements such as execution modules or data structures, or subsets thereof, or extended sets thereof.

[0126] In this embodiment of the application, the corresponding operation is executed by calling the operation instructions stored in the memory 1740 (the operation instructions can be stored in the operating system).

[0127] The processor 1710 described above can implement or execute various exemplary logic blocks, units, and circuits described in conjunction with the disclosure of this application. The processor can be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, units, and circuits described in conjunction with the disclosure of this application. The processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0128] The memory 1740 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 drive; the memory may also include combinations of the above types of memory.

[0129] The Bus 1720 can be an Extended Industry Standard Architecture (EISA) bus, etc. The Bus 1720 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The symbol is represented by only one line, but this does not mean that there is only one bus or one type of bus.

[0130] Through the above description of the 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 practical 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 specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0131] This application provides a computer program product containing instructions that, when run on a computer, cause the computer to execute the cell determination method in the above method embodiments.

[0132] This application also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the cell determination method in the method flow shown in the above method embodiments.

[0133] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), 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 thereof, or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may reside in an application-specific integrated circuit (ASIC). In the embodiments of this application, the computer-readable storage medium can 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.

[0134] Embodiments of the present invention provide a computer program product containing instructions that, when executed on a computer, cause the computer to perform actions such as... Figure 1 The method for determining the cell area.

[0135] Since the cell determination device, computer-readable storage medium, and computer program product in the embodiments of the present invention can be applied to the above method, the technical effects obtained can also be referred to the above method embodiments. The embodiments of the present invention will not be repeated here.

[0136] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0137] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0138] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0139] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A cell determination method, characterized by, The method comprises: In a case where a target parameter of a target cell meets a frequency reduction condition, determining the target cell as a cell to be reduced in frequency; the target parameter comprises: a downlink average resource utilization, a downlink average traffic volume, a first proportion, an uplink average resource utilization, an uplink average traffic volume, and a second proportion; the frequency reduction condition is that each parameter in the target parameter is less than or equal to a corresponding parameter threshold value; The first proportion is a sum of a downlink traffic proportion corresponding to a downlink traffic volume proportion of each first downlink service type in the target cell; the second proportion is a sum of an uplink traffic proportion corresponding to an uplink traffic volume proportion of each first uplink service type in the target cell; the downlink traffic volume proportion of each first downlink service type and the uplink traffic volume proportion of each first uplink service type are greater than or equal to a corresponding proportion threshold value; In a case where the target parameter does not meet the frequency reduction condition, correcting the downlink average resource utilization and the downlink average traffic volume based on target information, and / or correcting the uplink average resource utilization and the uplink average traffic volume; the target information comprises: terminal capability information residing in the target cell, and information of a co-sited coverage inter-frequency cell; In a case where a corrected target parameter of the target cell meets a frequency reduction condition, determining the target cell as a cell to be reduced in frequency.

2. The method of claim 1, wherein, The target parameter is a parameter within a preset time.

3. The method of any one of claims 1-2, wherein, Before the target cell is determined as a cell to be reduced in frequency in a case where a target parameter of a target cell meets a frequency reduction condition, the method further comprises: According to a minimum transmission rate required by each service in the target cell, determining N downlink service types and M uplink service types, N and M being positive integers; Obtaining a third proportion and a fourth proportion; The third proportion is a downlink traffic proportion corresponding to a downlink traffic volume proportion of each downlink service type in the N downlink service types; the fourth proportion is an uplink traffic proportion corresponding to an uplink traffic volume proportion of each uplink service type in the M uplink service types; The N downlink service types comprise the first downlink service type, and the M uplink service types comprise the first uplink service type.

4. The method of claim 3, wherein, After the third proportion and the fourth proportion are obtained, the method further comprises: Obtaining a first downlink traffic proportion based on a first parameter estimation, and a first uplink traffic proportion based on a second parameter estimation; Determining the downlink traffic volume proportion of each first downlink service type from the first downlink traffic proportion, and determining the uplink traffic volume proportion of each first uplink service type from the first uplink traffic proportion; The first downlink traffic proportion is a downlink traffic volume proportion of each downlink service type after the target cell is reduced in frequency; the first uplink traffic proportion is an uplink traffic volume proportion of each uplink service type after the target cell is reduced in frequency.

5. The method of claim 4, wherein, The first parameter comprises the downlink average resource utilization, the downlink average traffic, the downlink average rate and the downlink traffic proportion of each downlink service; And / or, the second parameter comprises the uplink average resource utilization, the uplink average traffic, the uplink average rate and the uplink traffic proportion of each uplink service.

6. A cell determining apparatus characterized by comprising: The device comprises a determination module; The determination module is configured to determine the target cell as a cell to be reduced in frequency when a target parameter of the target cell meets a frequency reduction condition; the target parameter comprises a downlink average resource utilization, a downlink average traffic, a first proportion, an uplink average resource utilization, an uplink average traffic and a second proportion; the frequency reduction condition is that each parameter in the target parameter is less than or equal to a corresponding parameter threshold value; The first proportion is a sum of downlink traffic proportions corresponding to downlink traffic proportions of each first downlink service type in the target cell; the second proportion is a sum of uplink traffic proportions corresponding to uplink traffic proportions of each first uplink service type in the target cell; the downlink traffic proportion of each first downlink service type and the uplink traffic proportion of each first uplink service type are greater than or equal to a corresponding proportion threshold value; The determination module is further configured to: correct the downlink average resource utilization and the downlink average traffic, and / or correct the uplink average resource utilization and the uplink average traffic based on target information when the target parameter does not meet the frequency reduction condition; the target information comprises terminal capability information residing in the target cell and information of a co-sited coverage inter-frequency cell; determine the target cell as a cell to be reduced in frequency when a corrected target parameter of the target cell meets a frequency reduction condition.

7. The apparatus of claim 6, wherein, The target parameter is a parameter within a preset time.

8. The apparatus of any one of claims 6-7, wherein, The device further comprises an acquisition module; The determination module is further configured to determine N downlink service types and M uplink service types according to minimum transmission rates required by each service in the target cell before determining the target cell as the cell to be reduced in frequency when the target parameter of the target cell meets the frequency reduction condition, N and M being positive integers; The acquisition module is configured to acquire a third proportion and a fourth proportion; The third proportion comprises a downlink traffic proportion corresponding to a downlink traffic proportion of each downlink service type in the N downlink service types; the fourth proportion comprises an uplink traffic proportion corresponding to an uplink traffic proportion of each uplink service type in the M uplink service types; The N downlink service types comprise the first downlink service type, and the M uplink service types comprise the first uplink service type.

9. The apparatus of claim 8, wherein, The device further comprises an estimation module; The estimation module is configured to estimate a first downlink traffic ratio based on a first parameter and estimate a first uplink traffic ratio based on a second parameter after the third ratio and the fourth ratio are obtained by the obtaining module; The determination module is further configured to determine a downlink traffic volume ratio of each first downlink service type from the first downlink traffic ratio and determine an uplink traffic volume ratio of each first uplink service type from the first uplink traffic ratio; The first downlink traffic ratio is a downlink traffic volume ratio of each downlink service type after the target cell is de-frequencyed. The first uplink traffic ratio is an uplink traffic volume ratio of each uplink service type after the target cell is de-frequencyed.

10. The apparatus of claim 9, wherein, The first parameter comprises the downlink average resource utilization, the downlink average traffic volume, the downlink average rate, and the downlink traffic volume ratio of each downlink service. The second parameter comprises the uplink average resource utilization, the uplink average traffic volume, the uplink average rate, and the uplink traffic volume ratio of each uplink service.

11. A cell determining apparatus, characterized by comprising: The apparatus comprises: a processor and a communication interface; the communication interface and the processor are coupled, and the processor is configured to run computer programs or instructions to implement the cell determination method in any one of claims 1-5.

12. A computer-readable storage medium having stored therein instructions, the computer-readable storage medium comprising: When a computer executes the instructions, the computer executes the cell determination method in any one of claims 1-5.

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