[go: up one dir, main page]

CN112996011A - Cell value evaluation method, device, computer equipment and readable storage medium - Google Patents

Cell value evaluation method, device, computer equipment and readable storage medium Download PDF

Info

Publication number
CN112996011A
CN112996011A CN201911272014.8A CN201911272014A CN112996011A CN 112996011 A CN112996011 A CN 112996011A CN 201911272014 A CN201911272014 A CN 201911272014A CN 112996011 A CN112996011 A CN 112996011A
Authority
CN
China
Prior art keywords
cell
value
weight
service
neighboring
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201911272014.8A
Other languages
Chinese (zh)
Other versions
CN112996011B (en
Inventor
郭华
郭尧
张镇驿
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Mobile Communications Group Co Ltd
China Mobile Group Liaoning Co Ltd
Original Assignee
China Mobile Communications Group Co Ltd
China Mobile Group Liaoning Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Mobile Communications Group Co Ltd, China Mobile Group Liaoning Co Ltd filed Critical China Mobile Communications Group Co Ltd
Priority to CN201911272014.8A priority Critical patent/CN112996011B/en
Publication of CN112996011A publication Critical patent/CN112996011A/en
Application granted granted Critical
Publication of CN112996011B publication Critical patent/CN112996011B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

本发明公开了一种小区价值评估方法、装置、计算机设备和可读存储介质。该小区价值评估方法包括：基于业务数据计算得到小区的业务权重；基于区域间的切换信息，计算得到小区和小区的邻区之间的区域关联强度值；基于邻区向小区转移的资源信息，计算得到邻区影响能力值；根据业务权重、区域关联强度值和邻区影响能力值得到小区价值权重；根据小区价值权重得到小区价值呈现信息。采用该小区价值评估方法能够在通信网络中较准确地评估小区价值。

Figure 201911272014

The invention discloses a method, device, computer equipment and readable storage medium for evaluating the value of a cell. The cell value evaluation method includes: calculating the service weight of the cell based on the service data; calculating and obtaining the regional association strength value between the cell and the neighboring cells of the cell based on the handover information between the regions; based on the resource information transferred from the neighboring cell to the cell, Calculate and obtain the neighboring cell influence capability value; obtain the cell value weight according to the service weight, the regional association strength value and the neighboring cell influence capability value; obtain the cell value presentation information according to the cell value weight. By using the cell value evaluation method, the cell value can be more accurately evaluated in the communication network.

Figure 201911272014

Description

Cell value evaluation method, device, computer equipment and readable storage medium
[ technical field ] A method for producing a semiconductor device
The present invention relates to the field of wireless communication technologies, and in particular, to a method and an apparatus for evaluating a cell value, a computer device, and a readable storage medium.
[ background of the invention ]
With the large-scale deep deployment of an LTE (Long Term Evolution) wireless network and the reference demand of 5G network development, the fine operation of the LTE network and the important guarantee of high-value cells in the LTE network become one of the important works of network and market operation. At present, the evaluation of the cell value in the communication network in the market is too rough, so that the cell value cannot be accurately evaluated in the communication network.
[ summary of the invention ]
In view of this, embodiments of the present invention provide a method, an apparatus, a computer device and a readable storage medium for evaluating a cell value, so as to solve the problem that the cell value cannot be evaluated more accurately in a communication network at present.
In a first aspect, an embodiment of the present invention provides a method for evaluating a cell value, including:
calculating to obtain the service weight of the cell based on the service data;
calculating to obtain a region association strength value between the cell and a neighboring cell of the cell based on switching information between the regions;
calculating to obtain the influence capacity value of the adjacent cell based on the resource information transferred from the adjacent cell to the cell;
obtaining a cell value weight according to the service weight, the region association strength value and the neighbor cell influence capacity value;
and obtaining the cell value presentation information according to the cell value weight.
The foregoing aspects and any possible implementation manners further provide an implementation manner, where the service data includes a number of data service users and a number of voice service users, and the calculating to obtain the service weight of the cell based on the service data includes:
acquiring the number of the data service users and the number of the voice service users in a first preset time period;
calculating the service weight of the cell according to the number of the data service users and the number of the voice service users, wherein the formula of the calculation is as follows:
Figure BDA0002314458660000021
wherein f isiIndicating cell i is carryingThe traffic flow of (2) is determined,
Figure BDA0002314458660000022
represents the total traffic flow carried in the communication network, t represents the time length corresponding to the first preset time period,
Figure BDA0002314458660000023
indicating the number of data service users carried by the cell i in the first preset time period,
Figure BDA0002314458660000024
and indicating the number of the voice service users carried by the cell i in the first preset time period.
As to the above-mentioned aspect and any possible implementation manner, there is further provided an implementation manner, where the neighboring cells of the cell include a primary neighboring cell and a secondary neighboring cell, and the calculating, based on the handover information between the regions, to obtain the region association strength value between the cell and the neighboring cells of the cell includes:
acquiring switching information from the cell to the first-level neighboring cell and from the first-level neighboring cell to the second-level neighboring cell within a second preset time period, and acquiring a switching success rate according to the switching information;
according to the switching success rate and the pre-acquired geographic distance between the regions, calculating to obtain a region association strength value between the cell and the adjacent region of the cell, wherein the formula of the calculation is represented as: l isi＝∑jeneighbour(i)∑keneighbour(j)Pjk*δjk+∑jeneighbour(i)Pij*δijWherein j represents a first-level neighboring cell of the cell i, keneighbour (j) represents a second-level neighboring cell of the cell i, k represents a first-level neighboring cell of the cell j, and P represents a second-level neighboring cell of the cell ijkIndicating the handover success rate of cell j to neighbor k,
Figure BDA0002314458660000025
djkrepresents the geographical distance, δ, between cells j and kjkRepresenting a first distance weight, PijIndicating cell i to neighborThe handover success rate of the region j,
Figure BDA0002314458660000026
dijrepresenting the geographical position, δ, between cells i and jijRepresenting a second distance weight.
As to the above-mentioned aspect and any possible implementation manner, there is further provided an implementation manner, where the resource information transferred from the neighboring cell to the cell includes the number of users and traffic generated by the users, and the calculating, based on the resource information transferred from the neighboring cell to the cell, obtains the neighboring cell influence capability value, including:
acquiring the number of users transferring the neighbor cell to the cell within a third preset time period;
acquiring the flow generated by the user transferring the neighboring cell to the cell within a third preset time period;
calculating to obtain the neighbor cell influence capacity value based on the number of the users transferred from the neighbor cell to the cell and the flow generated by the users transferred from the neighbor cell to the cell, wherein the calculation formula is represented as: gi＝∑jeneighbour(i)Hji*Eji*WjWherein H isjiRepresenting the proportion of the total number of users of the adjacent cell j to the cell i, EjiRepresents the proportion of the flow generated by the user transferred from the adjacent cell j to the cell i to the total flow of the adjacent cell j, WjRepresenting the traffic weight of the cell of the neighbor j.
As to the above-mentioned aspect and any possible implementation manner, there is further provided an implementation manner, where obtaining a cell value weight according to the service weight, the area association strength value, and the neighboring cell influence capability value includes:
multiplying the service weight, the area association strength value and the neighboring cell influence capacity value to obtain the cell value weight, and expressing the cell value weight as R by adopting a formulai＝Wi*Li*Gi。
The above aspect and any possible implementation manner further provide an implementation manner, where the cell value presentation information includes a cell value sequence, and the obtaining of the cell value presentation information according to the cell value weight includes:
and sequencing the cells in the communication network according to the cell value weight from high to low to obtain the cell value sequence.
The above-mentioned aspect and any possible implementation manner further provide an implementation manner, after obtaining the cell value presentation information according to the cell value weight, further including:
determining a target cell value weight, wherein the target cell value weight is a cell value weight which is larger than a preset threshold value in the cell value presentation information;
and taking the cell corresponding to the target cell value weight as a first step guarantee object in the communication network.
In a second aspect, an embodiment of the present invention provides a cell value evaluation apparatus, including:
the cell service weight acquisition module is used for calculating and obtaining the service weight of the cell based on the service data;
a region association strength value obtaining module, configured to calculate a region association strength value between the cell and a neighboring cell of the cell based on handover information between regions;
the neighbor cell influence capacity value acquisition module is used for calculating to obtain a neighbor cell influence capacity value based on the resource information transferred from the neighbor cell to the cell;
the cell value weight acquisition module is used for obtaining a cell value weight according to the service weight, the region association strength value and the neighboring cell influence capacity value;
and the cell value presentation information acquisition module is used for acquiring cell value presentation information according to the cell value weight.
In a third aspect, a computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above cell value evaluation method when executing the computer program.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, including: computer program which, when being executed by a processor, carries out the steps of the above-mentioned cell value evaluation method.
In the embodiment of the invention, firstly, the service weight of the cell is obtained based on the service data calculation, the proportion of the service flow of a single cell in the whole communication network can be reflected, and the importance of the cell is highlighted through the data service and voice service user number of the cell, and when the two are larger, the cell is more important; then, based on the switching information between the areas, calculating to obtain an area association strength value between the cell and the adjacent area of the cell, and effectively embodying the association strength between the cell and the adjacent area; then, based on the resource information transferred from the neighboring cell to the cell, the influence capability value of the neighboring cell is obtained through calculation, and the influence capability of the cell on the neighboring cell, such as the number of users and the user flow, can be reflected; and finally, obtaining a cell value weight according to the service weight, the area association strength value and the adjacent cell influence capacity value, obtaining cell value presentation information according to the cell value weight, comprehensively considering the association strength among cells, the influence capacity of the cells on the surrounding adjacent cells and the importance embodied by the self-bearing service of the cells, and further depicting the area influence capacity of the cells in the network topology. The embodiment of the invention can more accurately evaluate the value of the cell in the communication network from the aspect of the communication network topology.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
FIG. 1 is a flow chart of a method for evaluating cell value according to an embodiment of the present invention;
FIG. 2 is a diagram of a device for evaluating cell worth in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram of a computer device according to an embodiment of the invention.
[ detailed description ] embodiments
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely a field that describes the same of an associated object, meaning that three relationships may exist, e.g., A and/or B, may indicate: a is present alone, and A and B are present, B is present alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used to describe preset ranges, etc. in embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, the first preset range may also be referred to as a second preset range, and similarly, the second preset range may also be referred to as the first preset range, without departing from the scope of the embodiments of the present invention.
The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
Fig. 1 shows a flowchart of a cell value evaluation method in the present embodiment. The cell value evaluation method can be applied to a cell value evaluation system, and can be realized by adopting the cell value evaluation system when the cell value evaluation is carried out. The cell value evaluation system can be specifically applied to computer equipment, wherein the computer equipment can perform human-computer interaction with a user, and the computer equipment comprises but is not limited to computers, smart phones, tablets and other equipment. As shown in fig. 1, the method for evaluating the cell value includes the following steps:
s10: and calculating the service weight of the cell based on the service data.
It will be appreciated that there are a number of different cells divided in the communication network, each cell having its own importance in the communication network that is different.
In an embodiment, the service weight of the cell may be calculated through service data of the cell itself, including data of the number of users, traffic, and the like carried by the cell, and the importance of the cell service in the entire communication network is embodied through the service weight of the cell.
Further, in step S10, the service data includes the number of data service users and the number of voice service users, and the service weight of the cell is obtained based on the service data calculation, which specifically includes:
s11: acquiring the number of data service users and the number of voice service users in a first preset time period.
In an embodiment, the importance of a cell in a communication network is measured by adopting the number of data service users and the number of voice service users which can better highlight the service volume of the cell. Specifically, the number of data service users and the number of voice service users in a first preset time period are taken as calculation data, the first preset time period can be a period of time intercepted in an off-peak period, generality is achieved, and calculation accuracy can be improved.
S12: calculating to obtain the service weight of the cell according to the number of the data service users and the number of the voice service users, wherein the formula of the calculation is as follows:
Figure BDA0002314458660000071
wherein f isiIndicating the traffic carried by cell i,
Figure BDA0002314458660000072
represents the total traffic flow carried in the communication network, t represents the duration corresponding to the first preset time period,
Figure BDA0002314458660000073
indicating the number of data service users carried by the cell i in the first preset time period,
Figure BDA0002314458660000074
and indicating the number of the voice service users carried by the cell i in the first preset time period.
In an embodiment, the importance of the cell in the whole communication network is comprehensively embodied by the ratio of the traffic flow carried by the cell i to the total traffic flow carried in the communication network and the traffic distribution condition combining the number of data traffic users and the number of voice traffic users.
S20: and calculating to obtain the area association strength value between the cell and the adjacent cell of the cell based on the switching information between the areas.
It can be understood that, in the embodiment, the close connection degree between the cell and the neighboring cell is reflected by the handover between the cell and the neighboring cell, and the strength of the area association between the cell and the neighboring cell is reflected by the handover between the cell and the neighboring cell. The area association strength is also one of the important reference conditions for measuring the importance of the cell in the communication network.
Further, in step S20, the neighboring cells of the cell include a first-level neighboring cell and a second-level neighboring cell, and the calculating obtains the area association strength value between the cell and the neighboring cells of the cell based on the inter-area handover information, which specifically includes:
s21: and acquiring switching information from the cell to the first-level adjacent cell and from the first-level adjacent cell to the second-level adjacent cell in a second preset time period, and acquiring the switching success rate according to the switching information.
It can be understood that, in this embodiment, a first-level neighboring cell and a second-level neighboring cell are specifically taken as neighboring cells of a cell, where a function of enabling direct handover between the first-level neighboring cell (j) and the cell (i) can be implemented, a function of enabling direct handover between the second-level neighboring cell (k) and the first-level neighboring cell (j) can be implemented, and the second-level neighboring cell can still greatly affect the area association strength between neighboring cells of the cell, and therefore, in this embodiment, the second-level neighboring cell is also treated as an important object.
S22: according to the switching success rate and the pre-acquired geographic distance between the regions, calculating to obtain a region association strength value between the cell and the adjacent regions of the cell, wherein the formula of the calculation is represented as: l isi＝∑jeneighbour(i)∑keneighbour(j)Pjk*δjk+∑jeneighbour(i)Pjk*δjkWherein jenighbour (i) represents j as the first-level neighboring cell of the cell i, keneighbour (j) represents k as the first-level neighboring cell of the cell j and as the second-level neighboring cell of the cell i, PjkIndicating the handover success rate of cell j to neighbor k,
Figure BDA0002314458660000081
djkrepresents the geographical distance, δ, between cells j and kjkRepresenting a first distance weight, PijIndicating the handover success rate from cell i to neighbor j,
Figure BDA0002314458660000082
dijrepresenting the geographical position, δ, between cells i and jjkRepresenting a second distance weight.
It can be understood that, in this embodiment, the handover success rate and the geographic distance between the regions are used as important parameters for calculating the region association strength value, and the handover success rate and the geographic distance between the regions can respectively show the close relationship between the regions in the relation frequency and the spatial position, and can better express the region association strength between the neighboring regions of the cell.
S30: and calculating to obtain the influence capacity value of the adjacent cell based on the resource information transferred from the adjacent cell to the cell.
It can be understood that, besides the area association between the cell and its neighboring cells, the cell has a certain influence capability (or attraction capability) on its neighboring cells, and the influence capability can also reflect the importance (value) of the cell in the communication network.
Further, in step S30, the resource information transferred from the neighboring cell to the cell includes the number of users and traffic generated by the users, and the neighboring cell influence capability value is calculated based on the resource information transferred from the neighboring cell to the cell, which specifically includes:
s31: and acquiring the number of users transferring the adjacent cell to the cell in a third preset time period.
The third preset time period and the first preset time period and the second preset time period mentioned above may be the same, and the same preset time period is adopted to eliminate errors caused by time in the calculation process and improve the accuracy of the calculation result.
S32: and acquiring the flow generated by the user transferring the adjacent cell to the cell in the third preset time period.
In an embodiment, the steps S31-S32 specifically adopt the number of users and the traffic generated by the users as main resource information for calculation, so as to embody the attraction capability of the cell (i) to its neighboring cells.
S33: and calculating to obtain a neighbor cell influence capacity value based on the number of the users transferred from the neighbor cell to the cell and the flow generated by the users transferred from the neighbor cell to the cell, wherein the calculation formula is represented as: gi＝∑jeneighbour(i)Hji*Eji*WjWherein H isjiRepresenting the proportion of the total number of users of the adjacent cell j to the cell i, EjiRepresents the proportion of the flow generated by the user transferred from the adjacent cell j to the cell i to the total flow of the adjacent cell j, WjRepresenting the traffic weight of the cell of the neighbor j.
Understandably, HjiCan be determined according to the number u of users residing in the adjacent region jjAnd transfer from neighbor j to celli number u of usersjiIs obtained by a specific formula as
Figure BDA0002314458660000091
Similarly, EjiCan be based on the total flow S generated by the users in the adjacent region jjAnd the total flow S generated by the user on the adjacent region j transferred to the cell i in the adjacent region jjiIs obtained by a specific formula as
Figure BDA0002314458660000092
S40: and obtaining the cell value weight according to the service weight, the area association strength value and the adjacent cell influence capacity value.
Further, in step S40, the cell value presenting information includes a cell value sequence, and the obtaining of the cell value weight according to the service weight, the area association strength value, and the neighboring cell influence capability value specifically includes:
multiplying the service weight, the area association strength value and the adjacent area influence capacity value to obtain a cell value weight, and expressing the cell value weight as R by adopting a formulai＝Wi*Li*Gi。
Understandably, RiIs the value weight of the cell i to measure the area influence of the cell i, when the service weight W of the cell i isiThe larger the cell i is, the more important the cell i is in the communication network, the more valuable the cell i is; when the correlation strength between the cell i and the adjacent cell is higher, the greater the importance of the cell i in the communication network is, the higher the value is; when the influence capability of the cell i on the neighboring cell is larger, the greater the importance of the cell i in the communication network is, the more the cell i is a high-value cell. Wi、LiAnd GiRespectively at RiIn a proportional relationship. Through the RiThe importance of different cells in the communication network can be determined more accurately.
S50: and obtaining the cell value presentation information according to the cell value weight.
The cell value presentation information may specifically be a cell value weight represented by a sequence, a table, an illustration, and the like. The user can quickly acquire effective information about the cell value through the cell value presentation information.
Further, in step S50, obtaining the cell value presentation information according to the cell value weight specifically includes:
and sequencing the cells in the communication network according to the cell value weight from high to low to obtain a cell value sequence.
Further, the cell value sequence may also be obtained by a low-to-high ordering mode, which is not limited herein. In the implementation, the cell value weights are arranged together and presented according to certain logic, so that a user can quickly extract effective information about the cell value from the cell value weights.
Further, after step S50, that is, after the step of obtaining the cell value presentation information according to the cell value weight, the method further includes:
s51: and determining a target cell value weight, wherein the target cell value weight is the cell value weight which is larger than a preset threshold value in the cell value presentation information.
S52: and taking the cell corresponding to the value weight of the target cell as a first step guarantee object in the communication network.
The first step guarantee object may be understood as an object for which maintenance guarantee is preferentially performed in network maintenance scheduling.
In an embodiment, the steps S51-S52 specifically employ a cell value weight greater than a preset threshold in the cell value presentation information as a target cell value weight, and a cell corresponding to the target cell value weight as a first step guarantee object in the communication network, so as to perform reasonable network maintenance arrangement according to the level of the cell value.
Further, a cell corresponding to the cell value weight with the numerical value of the first 5% (top 5%) can be used as the first step guarantee object.
In the embodiment of the invention, firstly, the service weight of the cell is obtained based on the service data calculation, the proportion of the service flow of a single cell in the whole communication network can be reflected, and the importance of the cell is highlighted through the data service and voice service user number of the cell, and when the two are larger, the cell is more important; then, based on the switching information between the areas, calculating to obtain an area association strength value between the cell and the adjacent area of the cell, and effectively embodying the association strength between the cell and the adjacent area; then, based on the resource information transferred from the neighboring cell to the cell, the influence capability value of the neighboring cell is obtained through calculation, and the influence capability of the cell on the neighboring cell, such as the number of users and the user flow, can be reflected; and finally, obtaining a cell value weight according to the service weight, the area association strength value and the adjacent cell influence capacity value, obtaining cell value presentation information according to the cell value weight, comprehensively considering the association strength among cells, the influence capacity of the cells on the surrounding adjacent cells and the importance embodied by the self-bearing service of the cells, and further depicting the area influence capacity of the cells in the network topology. The embodiment of the invention can more accurately evaluate the value of the cell in the communication network from the aspect of the communication network topology.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Based on the cell value evaluation method provided in the embodiment, the embodiment of the invention further provides an embodiment of a device for realizing the steps and the method in the embodiment of the method.
Fig. 2 is a schematic block diagram of a cell value evaluation device corresponding to the cell value evaluation method in one-to-one embodiment. As shown in fig. 2, the cell value evaluation apparatus includes a cell service weight obtaining module 10, a region association strength value obtaining module 20, a neighboring cell influence capability value obtaining module 30, a cell value weight obtaining module 40, and a cell value presentation information obtaining module 50. The implementation functions of the cell service weight obtaining module 10, the area association strength value obtaining module 20, the neighboring cell influence capability value obtaining module 30, the cell value weight obtaining module 40, and the cell value presentation information obtaining module 50 correspond to the steps corresponding to the cell value evaluation method in the embodiment one by one, and for avoiding repeated description, detailed description is not needed in this embodiment.
And a cell service weight obtaining module 10, configured to obtain a cell service weight based on service data.
A module 20 for obtaining a region association strength value, configured to calculate a region association strength value between a cell and a neighboring cell of the cell based on handover information between regions.
And the neighboring cell influence ability value obtaining module 30 is configured to calculate a neighboring cell influence ability value based on the resource information transferred from the neighboring cell to the cell.
And the cell value weight obtaining module 40 is configured to obtain a cell value weight according to the service weight, the area association strength value, and the neighboring cell influence capability value.
A cell value presentation information obtaining module 50, configured to obtain cell value presentation information according to the cell value weight.
Optionally, the service data includes a number of data service users and a number of voice service users, and the cell service weight obtaining module 10 is further specifically configured to:
acquiring the number of data service users and the number of voice service users in a first preset time period;
calculating to obtain the service weight of the cell according to the number of the data service users and the number of the voice service users, wherein the formula of the calculation is as follows:
Figure BDA0002314458660000121
wherein f isiIndicating the traffic carried by cell i,
Figure BDA0002314458660000122
represents the total traffic flow carried in the communication network, t represents the duration corresponding to the first preset time period,
Figure BDA0002314458660000123
indicating the number of data service users carried by the cell i in the first preset time period,
Figure BDA0002314458660000124
indicating cell i is in the first pre-measurementAnd setting the number of voice service users loaded in a time period.
Optionally, the neighboring cells of the cell include a first-level neighboring cell and a second-level neighboring cell, and the region association strength value obtaining module 20 is further specifically configured to:
acquiring switching information from the cell to the first-level adjacent cell and from the first-level adjacent cell to the second-level adjacent cell in a second preset time period, and acquiring a switching success rate according to the switching information;
according to the switching success rate and the pre-acquired geographic distance between the regions, calculating to obtain a region association strength value between the cell and the adjacent regions of the cell, wherein the formula of the calculation is represented as: l isi＝∑jeneighbour(i)∑keneighbour(j)Pjk*δjk+∑jeneighbour(i)Pij*δijWherein jenighbour (i) represents j as the first-level neighboring cell of the cell i, keneighbour (j) represents k as the first-level neighboring cell of the cell j and as the second-level neighboring cell of the cell i, PjkIndicating the handover success rate of cell j to neighbor k,
Figure BDA0002314458660000125
djkrepresents the geographical distance, δ, between cells j and kjkRepresenting a first distance weight, PijIndicating the handover success rate from cell i to neighbor j,
Figure BDA0002314458660000126
dijrepresenting the geographical position, δ, between cells i and jijRepresenting a second distance weight.
Optionally, the resource information transferred from the neighboring cell to the cell includes the number of users and traffic generated by the users, and the neighboring cell influence capability value obtaining module 30 is further specifically configured to:
acquiring the number of users transferring the neighbor cells to the cell within a third preset time period;
acquiring the flow generated by the user transferring the adjacent cell to the cell within a third preset time period;
calculating to obtain the influence capacity value of the adjacent cell based on the number of the users transferred from the adjacent cell to the cell and the flow generated by the users transferred from the adjacent cell to the cell, and calculating the formulaExpressed as: gi＝∑jeneighbour(i)Hji*Eji*WjWherein H isjiRepresenting the proportion of the total number of users of the adjacent cell j to the cell i, EjiRepresents the proportion of the flow generated by the user transferred from the adjacent cell j to the cell i to the total flow of the adjacent cell j, WjRepresenting the traffic weight of the cell of the neighbor j.
Optionally, the cell value weight obtaining module 40 is further specifically configured to:
multiplying the service weight, the area association strength value and the adjacent area influence capacity value to obtain a cell value weight, and expressing the cell value weight as R by adopting a formulai＝Wi*Li*Gi。
Optionally, the cell value presentation information includes a cell value sequence, and the cell value presentation information obtaining module 50 is further specifically configured to:
and sequencing the cells in the communication network according to the cell value weight from high to low to obtain a cell value sequence.
Optionally, the cell value evaluation apparatus is further specifically configured to:
determining a target cell value weight, wherein the target cell value weight is a cell value weight which is larger than a preset threshold value in the cell value presentation information;
and taking the cell corresponding to the value weight of the target cell as a first step guarantee object in the communication network.
In the embodiment of the invention, firstly, the service weight of the cell is obtained based on the service data calculation, the proportion of the service flow of a single cell in the whole communication network can be reflected, and the importance of the cell is highlighted through the data service and voice service user number of the cell, and when the two are larger, the cell is more important; then, based on the switching information between the areas, calculating to obtain an area association strength value between the cell and the adjacent area of the cell, and effectively embodying the association strength between the cell and the adjacent area; then, based on the resource information transferred from the neighboring cell to the cell, the influence capability value of the neighboring cell is obtained through calculation, and the influence capability of the cell on the neighboring cell, such as the number of users and the user flow, can be reflected; and finally, obtaining a cell value weight according to the service weight, the area association strength value and the adjacent cell influence capacity value, obtaining cell value presentation information according to the cell value weight, comprehensively considering the association strength among cells, the influence capacity of the cells on the surrounding adjacent cells and the importance embodied by the self-bearing service of the cells, and further depicting the area influence capacity of the cells in the network topology. The embodiment of the invention can more accurately evaluate the value of the cell in the communication network from the aspect of the communication network topology.
The present embodiment provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method for evaluating a cell value in an embodiment is implemented, which is not repeated herein. Alternatively, the computer program is executed by the processor to implement the functions of each module/unit in the cell value evaluation apparatus in the embodiments, which are not repeated herein to avoid repetition.
Fig. 3 is a schematic diagram of a computer device according to an embodiment of the present invention. As shown in fig. 3, the computer device 60 of this embodiment includes: the processor 61, the memory 62, and the computer program 63 stored in the memory 62 and capable of running on the processor 61, where the computer program 63 is executed by the processor 61 to implement the cell value evaluation method in the embodiment, and in order to avoid repetition, details are not repeated herein. Alternatively, the computer program 63 is executed by the processor 61 to implement the functions of each model/unit in the cell value evaluation apparatus in the embodiments, which are not described herein for avoiding redundancy.
The computing device 60 may be a desktop computer, a notebook, a palm top computer, a cloud server, or other computing device. The computer device 60 may include, but is not limited to, a processor 61, a memory 62. Those skilled in the art will appreciate that fig. 3 is merely an example of a computer device 60 and is not intended to limit the computer device 60 and that it may include more or fewer components than shown, or some of the components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.
The Processor 61 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 62 may be an internal storage unit of the computer device 60, such as a hard disk or a memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk provided on the computer device 60, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, memory 62 may also include both internal and external storage devices for computer device 60. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (10)

1.一种小区价值评估方法，其特征在于，所述方法包括：1. a community value assessment method, is characterized in that, described method comprises: 基于业务数据计算得到小区的业务权重；Calculate the service weight of the cell based on the service data; 基于区域间的切换信息，计算得到所述小区和所述小区的邻区之间的区域关联强度值；Based on the handover information between the regions, calculating the regional association strength value between the cell and the neighboring cells of the cell; 基于邻区向小区转移的资源信息，计算得到邻区影响能力值；Based on the resource information transferred from the neighboring cell to the cell, the neighboring cell influence capability value is calculated; 根据所述业务权重、所述区域关联强度值和所述邻区影响能力值得到小区价值权重；Obtain the cell value weight according to the service weight, the regional association strength value and the neighboring cell influence capability value; 根据所述小区价值权重得到小区价值呈现信息。The cell value presentation information is obtained according to the cell value weight. 2.根据权利要求1所述的方法，其特征在于，所述业务数据包括数据业务用户数和语音业务用户数，所述基于业务数据计算得到小区的业务权重，包括：2. The method according to claim 1, wherein the service data comprises the number of data service users and the number of voice service users, and the calculation based on the service data obtains the service weight of the cell, comprising: 获取第一预设时间段内的所述数据业务用户数和所述语音业务用户数；acquiring the number of the data service users and the number of the voice service users within the first preset time period; 根据所述数据业务用户数和所述语音业务用户数，计算得到所述小区的业务权重，计算的公式表示为：
Figure FDA0002314458650000011
其中，fi表示小区i所承载的业务流量，
Figure FDA0002314458650000012
表示通信网络中承载的业务总流量，t表示所述第一预设时间段所对应的时长，
Figure FDA0002314458650000013
表示小区i在所述第一预设时间段内承载的数据业务用户数，
Figure FDA0002314458650000014
表示小区i在所述第一预设时间段内承载的语音业务用户数。According to the number of data service users and the number of voice service users, the service weight of the cell is calculated, and the calculation formula is expressed as:
Figure FDA0002314458650000011
Among them, f i represents the service traffic carried by cell i,
Figure FDA0002314458650000012
represents the total service traffic carried in the communication network, t represents the duration corresponding to the first preset time period,
Figure FDA0002314458650000013
represents the number of data service users carried by cell i within the first preset time period,
Figure FDA0002314458650000014
Indicates the number of voice service users carried by cell i within the first preset time period. 3.根据权利要求1所述的方法，其特征在于，所述小区的邻区包括一级邻区和二级邻区，所述基于区域间的切换信息，计算得到所述小区和所述小区的邻区之间的区域关联强度值，包括：3 . The method according to claim 1 , wherein the neighboring cells of the cell include a first-level neighboring cell and a second-level neighboring cell, and the cell and the cell are obtained by calculation based on the handover information between regions. 4 . The regional association strength values between the neighbors of , including: 获取第二预设时间段内所述小区向所述一级邻区，以及所述一级邻区向所述二级邻区的切换信息，并根据所述切换信息得到切换成功率；acquiring handover information from the cell to the first-level neighboring cell and from the first-level neighboring cell to the second-level neighboring cell within a second preset time period, and obtaining a handover success rate according to the handover information; 根据所述切换成功率，以及预获取的区域间的地理距离，计算得到所述小区和所述小区的邻区之间的区域关联强度值，计算的公式表示为：Li＝∑jeneighbour(i)∑keneighbour(j)Pjk*δjk+∑jeneighbour(i)Pij*δij，其中，所述je neighbour(i)表示j为小区i的一级邻区，keneighbour(j)表示k为小区j的一级邻区，且为小区i的二级邻区，Pjk表示小区j到邻区k的切换成功率，
Figure FDA0002314458650000021
djk表示小区j与k之间的地理距离，δjk表示第一距离权重，Pij表示小区i到邻区j的切换成功率，
Figure FDA0002314458650000022
dij表示小区i与j之间的地理位置，δij表示第二距离权重。According to the handover success rate and the pre-acquired geographical distance between the areas, the area correlation strength value between the cell and the neighboring cells of the cell is calculated, and the calculation formula is expressed as: Li =∑ jeneighbour( i ) ∑ keneighbour(j) P jk *δ jk +∑ jeneighbour(i) P ij *δ ij , wherein the je neighbour(i) indicates that j is the first-level neighbor of cell i, and keneighbour(j) indicates that k is is the first-level neighbor of cell j, and is the second-level neighbor of cell i, P jk represents the handover success rate from cell j to neighbor k,
Figure FDA0002314458650000021
d jk represents the geographic distance between cells j and k, δ jk represents the first distance weight, P ij represents the handover success rate from cell i to neighboring cell j,
Figure FDA0002314458650000022
d ij represents the geographic location between cells i and j, and δ ij represents the second distance weight. 4.根据权利要求1所述的方法，其特征在于，所述邻区向小区转移的资源信息包括用户的数量和所述用户产生的流量，所述基于邻区向小区转移的资源信息，计算得到邻区影响能力值，包括：4. The method according to claim 1, wherein the resource information transferred from the neighbor cell to the cell includes the number of users and the traffic generated by the user, and the calculation is based on the resource information transferred from the neighbor cell to the cell. Get the neighbor influence ability value, including: 获取第三预设时间段内所述邻区向小区转移的用户的数量；acquiring the number of users who are transferred from the neighboring cell to the cell within the third preset time period; 获取第三预设时间段内所述邻区向小区转移的用户产生的流量；acquiring the traffic generated by the users who are transferred from the neighboring cell to the cell within the third preset time period; 基于所述邻区向小区转移的用户的数量和所述邻区向小区转移的用户产生的流量计算得到所述邻区影响能力值，计算公式表示为：Gi＝∑jeneighbour(i)Hji*Eji*Wj，其中，Hji表示邻区j向小区i转移的用户占邻区j的总用户数的比例，Eji表示邻区j向小区i转移的用户产生的流量占邻区j的总流量的比例，Wj表示邻区j的小区的业务权重。The neighbor influence capability value is calculated based on the number of users transferred from the neighbor cell to the cell and the traffic generated by the users transferred from the neighbor cell to the cell. The calculation formula is expressed as: G i =∑ jeneighbour(i) H ji *E ji *W j , where H ji represents the proportion of users transferred from neighboring cell j to cell i to the total number of users in neighboring cell j, and E ji represents the proportion of traffic generated by users transferred from neighboring cell j to cell i to the neighboring cell The proportion of the total traffic of j, W j represents the traffic weight of the cell in the neighboring cell j. 5.根据权利要求1所述的方法，其特征在于，所述根据所述业务权重、所述区域关联强度值和所述邻区影响能力值得到小区价值权重，包括：5. The method according to claim 1, wherein the obtaining the cell value weight according to the service weight, the regional association strength value and the neighboring cell influence capability value comprises: 将所述业务权重、所述区域关联强度值和所述邻区影响能力值相乘，得到所述小区价值权重，采用公式表示为Ri＝Wi*Li*Gi。The value weight of the cell is obtained by multiplying the service weight, the area association strength value and the neighboring cell influence ability value, which is expressed as R i =W i *L i *G i by a formula. 6.根据权利要求1所述的方法，其特征在于，所述小区价值呈现信息包括小区价值序列，所述根据所述小区价值权重得到小区价值呈现信息，包括：6. The method according to claim 1, wherein the cell value presentation information comprises a cell value sequence, and the obtaining cell value presentation information according to the cell value weight comprises: 将通信网络内所述小区按所述小区价值权重由高到低进行排序，得到所述小区价值序列。The cells in the communication network are sorted according to the cell value weight from high to low to obtain the cell value sequence. 7.根据权利要求1-6任意一项所述的方法，其特征在于，在所述根据所述小区价值权重得到小区价值呈现信息之后，还包括：7. The method according to any one of claims 1-6, wherein after obtaining the cell value presentation information according to the cell value weight, the method further comprises: 确定目标小区价值权重，其中，所述目标小区价值权重为所述小区价值呈现信息中大于预设阈值的小区价值权重；determining a target cell value weight, wherein the target cell value weight is a cell value weight greater than a preset threshold in the cell value presentation information; 将所述目标小区价值权重对应的小区作为通信网络中的第一梯级保障对象。The cell corresponding to the value weight of the target cell is used as the first step guarantee object in the communication network. 8.一种小区价值评估装置，其特征在于，所述装置包括：8. A cell value assessment device, wherein the device comprises: 小区业务权重获取模块，用于基于业务数据计算得到小区的业务权重；a cell service weight acquisition module, used for calculating the cell service weight based on the service data; 区域关联强度值获取模块，用于基于区域间的切换信息，计算得到所述小区和所述小区的邻区之间的区域关联强度值；a regional association strength value acquisition module, configured to calculate and obtain the regional association strength value between the cell and the neighboring cells of the cell based on the handover information between regions; 邻区影响能力值获取模块，用于基于邻区向小区转移的资源信息，计算得到邻区影响能力值；The neighbor cell influence capability value acquisition module is used to calculate the neighbor cell influence capability value based on the resource information transferred from the neighbor cell to the cell; 小区价值权重获取模块，用于根据所述业务权重、所述区域关联强度值和所述邻区影响能力值得到小区价值权重；a cell value weight acquisition module, configured to obtain a cell value weight according to the service weight, the area association strength value and the neighbor cell influence capability value; 小区价值呈现信息获取模块，用于根据所述小区价值权重得到小区价值呈现信息。A cell value presentation information acquisition module, configured to obtain cell value presentation information according to the cell value weight. 9.一种计算机设备，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如权利要求1至7任一项所述小区价值评估方法的步骤。9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the computer program as claimed in the claims The steps of any one of 1 to 7 of the method for evaluating the value of a community. 10.一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现如权利要求1至7任一项所述小区价值评估方法的步骤。10. A computer-readable storage medium, wherein the computer-readable storage medium is stored with a computer program, characterized in that, when the computer program is executed by the processor, the evaluation of the value of a cell according to any one of claims 1 to 7 is realized. steps of the method.
CN201911272014.8A 2019-12-12 2019-12-12 Cell value evaluation method, device, computer equipment and readable storage medium Active CN112996011B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911272014.8A CN112996011B (en) 2019-12-12 2019-12-12 Cell value evaluation method, device, computer equipment and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911272014.8A CN112996011B (en) 2019-12-12 2019-12-12 Cell value evaluation method, device, computer equipment and readable storage medium

Publications (2)

Publication Number Publication Date
CN112996011A true CN112996011A (en) 2021-06-18
CN112996011B CN112996011B (en) 2022-12-16

Family

ID=76332091

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911272014.8A Active CN112996011B (en) 2019-12-12 2019-12-12 Cell value evaluation method, device, computer equipment and readable storage medium

Country Status (1)

Country Link
CN (1) CN112996011B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114727348A (en) * 2022-05-17 2022-07-08 中国联合网络通信集团有限公司 Cell switching method, device and base station

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140031006A1 (en) * 2012-07-27 2014-01-30 Nokia Siemens Networks Oy Insight Based Orchestration of Network Optimization in Communication Networks
CN103702350A (en) * 2013-12-26 2014-04-02 北京西塔网络科技股份有限公司 Evaluation method for indicator element in mobile communication network
WO2015010339A1 (en) * 2013-07-26 2015-01-29 华为技术有限公司 Measurement method for wireless network kpi, user equipment, network device and system
US20150085681A1 (en) * 2011-12-30 2015-03-26 Aircom International Ltd Cell performance assessment
CN104486769A (en) * 2014-12-03 2015-04-01 中国联合网络通信集团有限公司 Method and device for selecting valuable cell
CN105873079A (en) * 2015-01-23 2016-08-17 中国移动通信集团浙江有限公司 Network planning method and device
US20160277946A1 (en) * 2014-07-08 2016-09-22 P. I. Works TR Bilisim Hizm. San. ve Tic A.S. Wireless Communication Network Using Multiple Key Performance Indicators and Deviations Therefrom
CN106856608A (en) * 2015-12-09 2017-06-16 中国联合网络通信集团有限公司 A kind of LTE network base station covers validity appraisal procedure and device
US20170245176A1 (en) * 2016-02-19 2017-08-24 Viavi Solutions Uk Limited Network optimization based on characteristic information regarding a network
CN107659432A (en) * 2017-09-08 2018-02-02 中国联合网络通信集团有限公司 A kind of region Valuation Method and device
CN108124271A (en) * 2016-11-29 2018-06-05 中国联合网络通信集团有限公司 A kind of network quality appraisal procedure perceived based on user and device
CN108200599A (en) * 2018-03-29 2018-06-22 中国联合网络通信集团有限公司 The efficiency evaluation method, apparatus and network system of a kind of base station
CN109842896A (en) * 2017-11-28 2019-06-04 中国移动通信集团浙江有限公司 Grid value evaluation method and device
CN109996245A (en) * 2017-12-31 2019-07-09 中国移动通信集团四川有限公司 The communication resource launches appraisal procedure, device, electronic equipment and storage medium

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150085681A1 (en) * 2011-12-30 2015-03-26 Aircom International Ltd Cell performance assessment
WO2014016021A1 (en) * 2012-07-27 2014-01-30 Nokia Siemens Networks Oy Insight based orchestration of network optimization in communication networks
US20140031006A1 (en) * 2012-07-27 2014-01-30 Nokia Siemens Networks Oy Insight Based Orchestration of Network Optimization in Communication Networks
WO2015010339A1 (en) * 2013-07-26 2015-01-29 华为技术有限公司 Measurement method for wireless network kpi, user equipment, network device and system
CN103702350A (en) * 2013-12-26 2014-04-02 北京西塔网络科技股份有限公司 Evaluation method for indicator element in mobile communication network
US20160277946A1 (en) * 2014-07-08 2016-09-22 P. I. Works TR Bilisim Hizm. San. ve Tic A.S. Wireless Communication Network Using Multiple Key Performance Indicators and Deviations Therefrom
CN104486769A (en) * 2014-12-03 2015-04-01 中国联合网络通信集团有限公司 Method and device for selecting valuable cell
CN105873079A (en) * 2015-01-23 2016-08-17 中国移动通信集团浙江有限公司 Network planning method and device
CN106856608A (en) * 2015-12-09 2017-06-16 中国联合网络通信集团有限公司 A kind of LTE network base station covers validity appraisal procedure and device
US20170245176A1 (en) * 2016-02-19 2017-08-24 Viavi Solutions Uk Limited Network optimization based on characteristic information regarding a network
CN108124271A (en) * 2016-11-29 2018-06-05 中国联合网络通信集团有限公司 A kind of network quality appraisal procedure perceived based on user and device
CN107659432A (en) * 2017-09-08 2018-02-02 中国联合网络通信集团有限公司 A kind of region Valuation Method and device
CN109842896A (en) * 2017-11-28 2019-06-04 中国移动通信集团浙江有限公司 Grid value evaluation method and device
CN109996245A (en) * 2017-12-31 2019-07-09 中国移动通信集团四川有限公司 The communication resource launches appraisal procedure, device, electronic equipment and storage medium
CN108200599A (en) * 2018-03-29 2018-06-22 中国联合网络通信集团有限公司 The efficiency evaluation method, apparatus and network system of a kind of base station

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
""S2-132853 UEPCOP Evaluation"", 《3GPP TSG_SA\WG2_ARCH》, 18 July 2013 (2013-07-18) *
林海等: "构建高价值区域精品网络的研究", 《广西通信技术》, no. 03, 15 September 2016 (2016-09-15) *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114727348A (en) * 2022-05-17 2022-07-08 中国联合网络通信集团有限公司 Cell switching method, device and base station
CN114727348B (en) * 2022-05-17 2023-08-08 中国联合网络通信集团有限公司 A cell handover method, device and base station

Also Published As

Publication number Publication date
CN112996011B (en) 2022-12-16

Similar Documents

Publication Publication Date Title
CN109688589B (en) Method and device for planning wireless network capacity
EP3489904A1 (en) Method and device for generating thermodynamic diagram
US20170222901A1 (en) Network selection using current and historical measurements
CN103973837B (en) A kind of method and apparatus for determining physical location information
CN104754590B (en) A kind of method and device of assessment long term evolution LTE network site
CN109963285B (en) Method, apparatus, electronic device and storage medium for determining cell coverage
CN109246592A (en) A kind of acquisition methods and device of position information of user's terminal
CN112214677A (en) A point of interest recommendation method, device, electronic device and storage medium
CN103500168A (en) Method and system for discovering communities in overlapped complex networks according to topology potential
CN105790866B (en) Base station rankings method and device
CN110348717B (en) Base station value scoring method and device based on grid granularity
CN105142164B (en) The data filling method and apparatus of node to be estimated
JP2013197704A (en) Traffic amount prediction processing device and computer program
CN109618281B (en) A kind of identification method and device of high-speed rail community
CN112996011A (en) Cell value evaluation method, device, computer equipment and readable storage medium
US20180157794A1 (en) Latent Space Harmonization for Predictive Modeling
CN109362027B (en) Positioning method, device, equipment and storage medium
CN109345947B (en) Work area division method based on data correlation analysis and terminal equipment
CN109429282B (en) Method and device for frequency configuration
CN115552950A (en) Method for determining measurement relaxation requirement, electronic device and storage medium
CN109495900A (en) A kind of expansion method, device and computer readable storage medium
CN106611100B (en) User behavior analysis method and device
CN108985898A (en) A kind of place methods of marking, device and computer readable storage medium
JP2017106798A (en) Positioning program, positioning method and positioning device
CN111278037A (en) Cell value evaluation method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant