CN115866636A

CN115866636A - Antenna parameter adjusting method and device

Info

Publication number: CN115866636A
Application number: CN202111128636.0A
Authority: CN
Inventors: 李军; 刘波; 刘永涛; 王坤
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Henan Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Henan Co Ltd
Priority date: 2021-09-26
Filing date: 2021-09-26
Publication date: 2023-03-28

Abstract

The embodiment of the specification discloses an antenna parameter adjusting method and device, which can meet the experience perception requirements of users on various service scenes to the greatest extent under the condition that resources are not increased. The method comprises the following steps: acquiring user network related data, cell engineering parameters and corresponding service scenes in a grid of an area to be analyzed; determining steady-state users within the grid and network performance indicator data for the steady-state users within the grid based on user network related data within the grid; determining a problem grid of the area to be analyzed based on network performance index data of steady-state users in grids of the area to be analyzed; and adjusting the cell base station antenna parameters of the problem grid based on the cell engineering parameters of the problem grid and the corresponding service scene.

Description

Antenna parameter adjusting method and device

Technical Field

The present invention relates to the field of network technologies, and in particular, to a method and an apparatus for adjusting antenna parameters.

Background

With the rapid construction and operation of the fifth Generation Mobile Communication technology (5G) network, the operators face serious challenges in the planning and operation and maintenance of the 5G wireless network in the new situation. Network follow-up, 5G wireless coverage and resource planning need adaptive adjustment to meet the requirements of different users on a wireless network, and the overall perception of network supporting capability is improved. Optimization adjustment of weight parameters based on a large-scale intensive Multiple-Input Multiple-Output (Massive MIMO) antenna will directly affect the wireless coverage effect, and balance adjustment and allocation of wireless resources.

At present, a 5G Massive MIMO antenna adjustment scheme mainly performs antenna selection and parameter setting during wireless network planning, and performs MR rasterization division according to 5G user Measurement Report (MR) distribution after a network is opened, finds out a weak coverage area in the network, and identifies a base station cell related to the weak coverage area. And adjusting the transmitting power, azimuth angle and other engineering parameters of the antenna according to the weak coverage range, and improving the weak coverage area, thereby solving the weak coverage problem in the network.

The traditional Massive MIMO antenna parameter adjustment scheme can only improve network coverage and quality to a certain extent, but can not effectively meet the requirements of experience perception and full-network resource balance planning of a full amount of users in the face of 5G network diversity service objects and industry requirements.

Disclosure of Invention

Embodiments of the present description provide an antenna parameter adjustment method and apparatus, which can meet the experience perception requirements of users on various service scenarios to the greatest extent without increasing resources.

In order to achieve the above purpose, the embodiments of the present specification adopt the following technical solutions:

in a first aspect, a method for adjusting antenna parameters is provided, including:

acquiring user network related data, cell engineering parameters and corresponding service scenes in a grid of an area to be analyzed;

determining steady-state users in the grid and network performance indicator data of the steady-state users in the grid based on user network related data in the grid;

determining a problem grid of the area to be analyzed based on network performance index data of steady-state users in grids of the area to be analyzed;

and adjusting the cell base station antenna parameters of the problem grid based on the cell engineering parameters of the problem grid and the corresponding service scene.

In a second aspect, an antenna parameter adjusting apparatus is provided, including:

the system comprises a first acquisition unit, a second acquisition unit and a processing unit, wherein the first acquisition unit is used for acquiring user network related data, cell engineering parameters and corresponding service scenes in a grid of an area to be analyzed;

a first determining unit, configured to determine, based on user network related data in the grid, a steady-state user in the grid and network performance indicator data of the steady-state user in the grid;

a second determining unit, configured to determine a problem grid of the area to be analyzed based on network performance index data of a steady-state user in each grid of the area to be analyzed in the grid to which the steady-state user belongs;

and the antenna parameter adjusting unit is used for adjusting the cell base station antenna parameters of the problem grid based on the cell engineering parameters of the problem grid and the corresponding service scene.

In a third aspect, an electronic device is provided, including:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of the first aspect.

In a fourth aspect, a computer-readable storage medium is provided, in which instructions that, when executed by a processor of an electronic device, enable the electronic device to perform the method according to the first aspect.

In the solution of the embodiment of the present specification, a steady-state user in a grid and network performance index data of the steady-state user in the grid are determined by analyzing acquired user network related data in the grid of an area to be analyzed; because the network performance index data of the steady-state users in the grids can reflect the service perception condition of the users in the grids to the common network performance in the grids, the problem grids of the areas to be analyzed can be accurately identified based on the network performance index data of the steady-state users in the grids of the areas to be analyzed; and adjusting the antenna parameters of the cell base station of the problem grid based on the cell engineering parameters of the problem grid and the corresponding service scenes, so as to meet the experience perception requirements of users on various service scenes to the maximum extent under the condition of not increasing resources. In addition, the antenna parameter adjustment method in the embodiment of the present specification does not depend on the equipment manufacturer and the coverage scenario of the base station antenna, and has a basis for universal application in the whole network.

Drawings

The accompanying drawings, which are included to provide a further understanding of the specification and are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description serve to explain the principles of the specification and not to limit the specification in a limiting sense. In the drawings:

fig. 1 is a schematic flowchart of an antenna parameter adjustment method according to an embodiment of the present disclosure;

fig. 2 is a schematic structural diagram of an antenna parameter adjusting apparatus according to an embodiment of the present disclosure;

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

Detailed Description

In order to make the objects, technical solutions and advantages of the present disclosure more clear, the technical solutions of the present disclosure will be clearly and completely described below with reference to the specific embodiments of the present disclosure and the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments obtained by a person skilled in the art without making any inventive step based on the embodiments in this description shall fall within the scope of protection of this document.

The terms first, second and the like in the description and in the claims, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the specification are capable of operation in sequences other than those illustrated or described herein. In the present specification and claims, "and/or" indicates at least one of the connected objects, and the character "/" generally indicates that the preceding and following related objects are in an "or" relationship.

In order to solve the problem that the traditional Massive MIMO antenna parameter adjustment scheme cannot effectively meet the requirements of experience perception of a full number of users and balanced planning of the resources of the whole network, an embodiment of the present specification provides an antenna parameter adjustment scheme, which determines a steady-state user in a grid and network performance index data of the steady-state user in the grid by analyzing the acquired user network related data in the grid of an area to be analyzed; because the network performance index data of the steady-state users in the grids can reflect the service perception condition of the users in the grids on the common network performance in the grids, the problem grids of the areas to be analyzed can be accurately identified based on the network performance index data of the steady-state users in the grids of the areas to be analyzed; and adjusting the antenna parameters of the cell base station of the problem grid based on the cell engineering parameters of the problem grid and the corresponding service scenes, so that the experience perception requirements of users on various service scenes are met to the greatest extent under the condition that resources are not increased.

It should be understood that the antenna parameter adjusting method provided in the embodiments of the present specification may be executed by an electronic device or software installed in the electronic device, and specifically may be executed by a terminal device or a server device.

The technical solutions provided by the embodiments of the present description are described in detail below with reference to the accompanying drawings.

Referring to fig. 1, a flow chart of an antenna parameter adjustment method according to an embodiment of the present disclosure is shown, where the method includes:

s102, obtaining user network related data, cell engineering parameters and corresponding service scenes in a grid of an area to be analyzed.

In this embodiment of the present specification, for each grid in an area to be analyzed, user network related data in the grid refers to data that can reflect network performance of a user in the grid, and may specifically include, but is not limited to, user ticket signaling XDR data, measurement Report (MR) data, voice over Long-Term Evolution (VoLTE) data, and the like, where the user ticket XDR data may include, but is not limited to, S1-U interface signaling data, S1-MME interface signaling data, and the like. In order to obtain more comprehensive and accurate user network related data, in an optional implementation manner, the user network related data in the grid of the area to be analyzed may be obtained through the following steps:

step A1, obtaining geographic features of an area to be analyzed and generated user network related data.

And judging whether the geographic characteristics of the area to be analyzed can reflect the type of the building contained in the area to be analyzed.

And A2, dividing the area to be analyzed into a plurality of grids based on the geographic features of the area to be analyzed.

Specifically, the area to be analyzed may be subjected to stereo grid division according to the grid size used for geographic feature matching of the area to be analyzed, thereby obtaining a plurality of grids. For example, for a high-rise building included in the area to be analyzed, the high-rise building in the area to be analyzed may be gridded by a height of 3 meters, and for a core city area included in the area to be analyzed, the core city area may be gridded by a grid size of 20 × 20 meters.

And step A3, associating the user call ticket XDR data with the MR data based on the UE-S1-APID field in the user call ticket XDR data and the UE-S1-APID field in the MR data.

It should be noted that, associating different data through the same field in different data is a technical means known to those skilled in the art, and is not described herein again.

And A4, determining the grids to which the user network related data belongs based on a plurality of grids obtained by dividing the area to be analyzed and the associated user bill XDR data and MR data.

After the user call ticket XDR data and the MR data are associated, the position information in the MR data, the S1-U interface signaling data in the user call ticket XDR data, the S1-MME interface signaling data and the like can be combined, and the rasterization of the user network related data is carried out according to the position information in the associated data. After rasterization, the grids to which the user network related data belong can be obtained, and statistical analysis is performed on the user network related data in each grid of the area to be analyzed, so as to determine stable users in each grid and network performance index data of the stable users in the grids to which the stable users belong.

In this embodiment, for each grid in the area to be analyzed, the cell engineering parameters in the grid may include basic engineering parameters of a primary serving cell in the grid, where the basic engineering parameters of the primary serving cell may include, for example and without limitation: the base station longitude and latitude, the antenna azimuth angle, the downward inclination angle, the station address height, the working frequency, the antenna model, the transmitting power and the like of the main service cell.

In this embodiment of the present specification, for each grid in the area to be analyzed, the service scene corresponding to the grid is used to indicate an object targeted by the 5G network service in the grid, such as a ToB user, a ToC user, and the like.

S104, determining the steady-state users in each grid and the network performance index data of the steady-state users in the grid to which the steady-state users belong based on the user network related data in each grid.

In the embodiment of the present specification, a steady-state user in a grid refers to a user who appears in the grid for a long time continuously. In an optional implementation manner, for each grid, a time period in which each user in the grid appears in the grid may be determined by performing cluster analysis on S1-MME interface data and Voice Over Long-Term Evolution (VoLTE) Voice bearer data in the list XDR data of each user of the grid from a time dimension, and further, a duration in which each user in the grid continuously appears in the grid may exceed a preset duration, and may be determined as a steady-state user in the grid. For example, if a user appears in a grid for the same period of 4 out of 7 days, the user may be determined to be a steady-state user in the grid.

After determining the steady-state users in each grid of the area to be analyzed, for each grid, the network performance index data of the steady-state users in the grid in which the steady-state users belong can be obtained by analyzing the user network related data of the steady-state users in the grid. It should be noted that, in practical applications, various technical means known to those skilled in the art may be used to analyze the user network related data of the steady-state users in the grid to obtain the network performance index data of the steady-state users in the grid.

In this embodiment of the present specification, the network performance index data of the steady-state user in the grid to which the steady-state user belongs refers to data that can reflect the network performance of the steady-state user in the grid to which the steady-state user belongs. Optionally, in view of differences in network performance when users use different services in the same grid, in order to comprehensively and objectively reflect the network performance in the grid to which the steady-state user belongs, in this embodiment of the present specification, the network performance index data of the steady-state user in the grid to which the steady-state user belongs may include index values corresponding to a plurality of network performance indexes of the steady-state user under a plurality of services, respectively. Wherein, the plurality of services may include, for example but not limited to: video traffic, instant messaging traffic, navigation traffic, web browsing traffic, voice communication traffic, and the like, the plurality of network performance metrics may include, for example and without limitation: call completing rate, call dropping rate, interference level, time delay, speed, switching success rate, coverage rate and the like.

And S106, determining the problem grids of the areas to be analyzed based on the network performance index data of the steady-state users in the grids of the areas to be analyzed.

The network performance index data of the steady-state user in the grid to which the steady-state user belongs can reflect the network performance of the steady-state user in the grid to which the steady-state user belongs, and whether the grid in the area to be analyzed has the network performance problem or not can be determined by analyzing the network performance index data of the steady-state user in the grid in the area to be analyzed in the grid, namely determining the problem grid in the area to be analyzed.

To accurately identify the problem grid of the region to be analyzed, in an alternative embodiment, the step S106 may include the following steps:

and step B1, for various services, determining experience perception scores of steady-state users in grids of the area to be analyzed on the services based on index values of the steady-state users in the grids of the area to be analyzed, which respectively correspond to the network performance indexes under the services, and weights of the network performance indexes respectively corresponding to the services.

Specifically, for each steady-state user in each grid of the area to be analyzed, if the index value of the steady-state user to a certain network performance index under the service is smaller than the index threshold value of the network performance index corresponding to the service, determining the weight of the network performance index corresponding to the service as the experience perception score of the steady-state user corresponding to the network performance index at the service; otherwise, determining that the experience perception score of the steady-state user corresponding to the network performance index in the service is 0. Further, the experience perception score of the steady-state user for the service in the grid can be obtained by summing the experience perception scores of the steady-state user corresponding to the plurality of network performance indexes in the service in the grid.

It should be noted that, the index threshold and the weight of each network performance index corresponding to different services may be set according to actual needs, which is not specifically limited in the embodiment of the present specification. For example, the following table 1 shows index thresholds corresponding to the network performance indexes under different services, and the following table 2 outputs weights corresponding to the network performance indexes under different services, where S1 to S5 respectively represent service identifiers of the services, t1 to t7 respectively represent index thresholds corresponding to the network performance indexes, and r1 to r7 respectively represent weights corresponding to the network performance indexes.

TABLE 1

TABLE 2

And B2, determining a comprehensive service perception score corresponding to each grid of the area to be analyzed based on the experience perception scores of the steady-state user in each grid of the area to be analyzed for the various services.

Specifically, for each steady-state user in each grid, the sum of the experience perception scores of the steady-state user for each of the multiple services may be determined as the service perception score of the steady-state user for the grid; then, determining the average value of the service perception scores of each steady-state user in the grid for the grid as the comprehensive service perception score corresponding to the grid. That is, the comprehensive service perception score corresponding to each grid of the region to be analyzed may be determined by the following formula (1):

v represents the comprehensive service perception score corresponding to the grid, ki represents the index value of the ith user corresponding to the s-th service in the kth network performance index, tk represents the index threshold value of the kth network performance index corresponding to the s-th service, rk represents the weight of the kth network performance index corresponding to the s-th service, K represents the number of network performance indexes, m represents the number of services, and n represents the number of steady-state users in the grid.

And step B3, determining the grid with the comprehensive service perception score exceeding a preset perception score threshold in the area to be analyzed as a problem grid of the area to be analyzed.

The preset sensing score threshold may be set according to actual needs, which is not specifically limited in the embodiments of the present specification.

It can be understood that, in the above embodiment, when determining the experience perception scores of the steady-state users in each grid of the area to be analyzed for various services, the influence of each network performance index of the steady-state users in each grid on the user experience perception is comprehensively considered, so that the determined experience perception scores of the steady-state users for various services are more accurate and objective; the experience perception values of different steady-state users in each grid to different services are comprehensively considered based on the experience perception values of the steady-state users in each grid to the services, and then the determined problem grids can reflect the network optimization requirements of the various users and the various services based on the comprehensive service perception values corresponding to the grids, so that the antenna parameters of the cell base station of the problem grids can be adjusted in the follow-up process, and the experience perception requirements of the various users to the various services can be effectively met.

And S108, adjusting the cell base station antenna parameters of the problem grid based on the cell engineering parameters of the problem grid and the corresponding service scene.

In this embodiment of the present specification, the cell base station antenna parameter refers to an antenna parameter of a base station antenna of a main serving cell, and may specifically include, but is not limited to: the base station antenna comprises an internal downward inclination angle, an antenna scene type, base station power, an azimuth angle, a mechanical downward inclination angle and the like.

In order to better satisfy the user' S experience perception requirement for various service scenarios, in an alternative embodiment, the step S108 may include the following steps:

and step C1, clustering problem grids of the same service scene based on the incidence relation among the grids in the region to be analyzed and the service scene corresponding to the grids to obtain a plurality of clustering regions.

In the embodiment of the present specification, the incidence relation between grids in the region to be analyzed can ensure whether the grids are adjacent to each other, and a plurality of clustering regions can be obtained by clustering problem grids adjacent to each other in the same service scene, where each clustering region includes at least one problem grid. The association relationship between grids in the region to be analyzed may be obtained when the region to be analyzed is divided into grids, and will not be described in detail here.

And step C2, selecting the clustering areas containing the problem grids with the number exceeding a preset number threshold value from the plurality of clustering areas as the problem areas to be optimized.

If the number of the problem grids contained in one clustering region is more, the service experience perception of the user in the clustering region is poorer, and based on the problem grids, the clustering region containing the problem grids with the number exceeding a preset number threshold value can be determined as the problem region needing to be optimized.

In this embodiment of the present specification, the preset number threshold may be set according to actual needs, and this is not specifically limited in this embodiment of the present specification. For example, the preset number threshold may be set to 5.

And step C3, adjusting the base station antenna parameters of the problem area based on the cell engineering parameters of the problem grid in the problem area to be optimized.

Specifically, the antenna related parameters of the main serving cell related to the problem area may be returned through the southbound interface to form a parameter list of the base station antenna (e.g., 5G Massive MIMO antenna) of the current main serving cell, and the parameters of the base station antenna of the main serving cell may be adjusted according to the basic engineering parameters of the main serving cell. More specifically, to better meet the requirement of the user on the radio resource, when the base station antenna parameter of the primary serving cell is adjusted, the current radio resource index data of the primary serving cell may be determined based on the basic engineering parameter of the primary serving cell of the problem area and the current base station antenna parameter, and then the current base station antenna parameter of the primary serving cell is adjusted based on the current radio resource index data of the primary serving cell of the problem area and the preset radio resource requirement, so that the radio resource of the problem area meets the preset radio resource requirement.

In practical implementation, the current base station antenna parameter of the main serving cell may be adjusted based on the difference between the current radio resource index data of the main serving cell and the preset radio resource requirement, and the radio resource index data of the main serving cell after the base station antenna parameter adjustment is obtained again, and if the preset radio resource requirement is not yet met, the above process is repeated until the radio resource index data of the main serving cell meets the preset radio resource requirement.

It should be noted that the radio resource index data of the primary serving cell is data for reflecting the radio resource usage of the primary serving cell, and may be specifically selected according to actual needs, which is not specifically limited in this embodiment of the present specification. In addition, the current radio resource indicator data of the primary serving cell may be determined by various technical means known to those skilled in the art, and this is not particularly limited in the embodiments of the present specification.

Considering that the requirement can be met only by adjusting the base station antenna parameter of the main serving cell for many times in actual implementation, in order to reduce the number of times of adjusting the base station antenna parameter of the main serving cell, an optimal adjustment scheme for the base station antenna parameter of the main serving cell can be determined in a simulation analysis mode, and then the adjustment of the base station antenna is implemented based on the optimal adjustment scheme, so that the adjustment cost is saved and the adjustment efficiency is improved.

Specifically, the determining the current radio resource indicator data of the primary serving cell includes: and establishing a base station antenna model of the main service cell based on the basic engineering parameters of the main service cell of the problem area and the current base station antenna parameters, and performing wireless resource simulation analysis based on the base station antenna model of the main service cell to obtain the current wireless resource index data of the main service cell.

Correspondingly, adjusting the current base station antenna parameters of the primary serving cell includes: if the current wireless resource index data of the main service cell does not meet the preset wireless resource requirement, updating the current wireless resource index data of the main service cell; repeatedly executing the step of establishing a base station antenna model of the main service cell to the step of carrying out wireless resource simulation analysis on the base station antenna model based on the main service cell based on the current wireless resource index data of the main service cell and the preset wireless resource requirement until the current wireless resource index data of the main service cell reaches the wireless resource requirement; further, the base station antenna parameter when the current wireless resource index data of the main service cell meets the wireless resource requirement is determined as a target antenna parameter, and the base station antenna of the main service cell is subjected to parameter adjustment based on the target antenna parameter.

It should be noted that the establishment of the base station antenna model and the simulation analysis of the radio resources may be implemented by modeling and analyzing means known to those skilled in the art, and this is not specifically limited in the embodiment of the present specification.

In order to further improve the effect of adjusting the antenna parameters of the base station in the problem area, so as to better meet the experience perception requirements of the user on various service scenarios, in another embodiment of the present specification, in step S108, after adjusting the current antenna parameters of the base station in the main serving cell based on the current radio resource index data of the main serving cell and the preset radio resource requirement, the method for adjusting the antenna parameters provided in the embodiment of the present specification may further include: for the problem area, acquiring user network related data of the problem grid in the problem area again, and determining network performance index data of the steady-state user in the problem grid after antenna parameter adjustment based on the user network related data of the problem grid; then, determining whether the antenna parameter adjustment of the problem area reaches a preset adjustment target or not based on network performance index data before and after the antenna parameter adjustment is respectively carried out by steady-state users in the problem grid in the problem area; if not, the step of adjusting the cell base station antenna parameters of the problem grid based on the cell engineering parameters of the problem grid and the corresponding service scene is repeatedly executed until the adjustment of the antenna parameters of the problem area reaches the adjustment target.

In the embodiment of the present specification, the adjustment target may be preset according to actual needs, and this is not particularly limited in the embodiment of the present specification. For example, the adjustment target may be set to be a network performance index data after the antenna parameter adjustment of the steady-state user in the problem grid in the problem area is performed is improved compared to the network performance index data before the antenna parameter adjustment is performed. Alternatively, the adjustment target may be set such that the number of problem grids included in the problem area after the antenna parameter adjustment is performed is reduced compared to the number of problem grids included before the stripline parameter adjustment is performed.

In the method for adjusting antenna parameters provided in one or more embodiments of the present specification, a steady-state user in a grid and network performance index data of the steady-state user in the grid are determined by analyzing acquired user network related data in the grid of an area to be analyzed; because the network performance index data of the steady-state users in the grids can reflect the service perception condition of the users in the grids to the common network performance in the grids, the problem grids of the areas to be analyzed can be accurately identified based on the network performance index data of the steady-state users in the grids of the areas to be analyzed; and adjusting the antenna parameters of the cell base station of the problem grid based on the cell engineering parameters of the problem grid and the corresponding service scenes, so as to meet the experience perception requirements of users on various service scenes to the maximum extent under the condition of not increasing resources. In addition, the antenna parameter adjustment method in the embodiment of the present specification does not depend on the equipment manufacturer and the coverage scenario of the base station antenna, and has a basis for universal application in the whole network.

In addition, corresponding to the antenna parameter adjusting method shown in fig. 1, an antenna parameter adjusting apparatus is further provided in an embodiment of the present specification. Fig. 2 is a schematic structural diagram of an antenna parameter adjusting apparatus 200 according to an embodiment of the present disclosure, including:

a first obtaining unit 210, configured to obtain user network related data, cell engineering parameters, and a corresponding service scenario in a grid of an area to be analyzed;

a first determining unit 220, configured to determine, based on the user network related data in the grid, a steady-state user in the grid and network performance indicator data of the steady-state user in the grid;

a second determining unit 230, configured to determine a problem grid of the area to be analyzed based on network performance indicator data of a steady-state user in each grid of the area to be analyzed in a grid to which the steady-state user belongs;

an antenna parameter adjusting unit 240, configured to adjust the cell base station antenna parameter of the problem grid based on the cell engineering parameter of the problem grid and the corresponding service scenario.

The antenna parameter adjusting device provided in the embodiment of the present specification determines a steady-state user in a grid and network performance index data of the steady-state user in the grid by analyzing the acquired user network related data in the grid of the area to be analyzed; because the network performance index data of the steady-state users in the grids can reflect the service perception condition of the users in the grids on the common network performance in the grids, the problem grids of the areas to be analyzed can be accurately identified based on the network performance index data of the steady-state users in the grids of the areas to be analyzed; and adjusting the antenna parameters of the cell base station of the problem grid based on the cell engineering parameters of the problem grid and the corresponding service scenes, so as to meet the experience perception requirements of users on various service scenes to the maximum extent under the condition of not increasing resources. In addition, the antenna parameter adjustment method in the embodiment of the present specification does not depend on the equipment manufacturer and the coverage scenario of the base station antenna, and has a basis for universal application in the whole network.

Optionally, the network performance index data includes index values of the steady-state user corresponding to a plurality of network performance indexes under a plurality of services, respectively;

the second determining unit 230 includes:

an experience perception score determining subunit, configured to determine, for each service in the multiple services, experience perception scores of steady-state users in each grid of the area to be analyzed for the service based on index values of the steady-state users in each grid of the area to be analyzed, which respectively correspond to multiple network performance indexes under the service, and weights of the multiple network performance indexes, which respectively correspond to the service;

a comprehensive service perception score determining subunit, configured to determine, based on experience perception scores of steady-state users in each grid of the region to be analyzed for the multiple services, a comprehensive service perception score corresponding to each grid of the region to be analyzed;

and the problem grid determining subunit is used for determining the grid with the comprehensive service perception score exceeding a preset perception score threshold in the area to be analyzed as the problem grid of the area to be analyzed.

Optionally, the antenna parameter adjusting unit 240 includes:

the clustering subunit is used for clustering problem grids of the same service scene based on the incidence relation among the grids in the region to be analyzed and the service scene corresponding to the grids to obtain a plurality of clustering regions;

the problem area selection subunit is used for selecting the clustering areas containing the problem grids with the number exceeding a preset number threshold from the plurality of clustering areas as the problem areas to be optimized;

and the adjusting subunit is used for adjusting the base station antenna parameters of the problem area based on the cell engineering parameters of the problem grid in the problem area to be optimized.

Optionally, the cell engineering parameter includes a basic engineering parameter of a primary serving cell;

the adjustment subunit is specifically configured to:

determining the current wireless resource index data of the main service cell based on the basic engineering parameters of the main service cell of the problem area and the current base station antenna parameters;

and adjusting the current base station antenna parameter of the main service cell based on the current wireless resource index data of the main service cell and the preset wireless resource requirement.

Optionally, the adjusting subunit is specifically configured to:

establishing a base station antenna model of the main service cell based on basic engineering parameters of the main service cell of the problem area and current base station antenna parameters;

performing wireless resource simulation analysis based on the base station antenna model of the main service cell to obtain current wireless resource index data of the main service cell;

if the current wireless resource index data of the main service cell does not meet the wireless resource requirement, updating the current wireless resource index data of the main service cell;

repeatedly executing the step of establishing a base station antenna model of the main service cell to the step of carrying out wireless resource simulation analysis on the base station antenna model based on the main service cell until the current wireless resource index data of the main service cell reaches the wireless resource requirement;

determining the base station antenna parameter when the current wireless resource index data of the main service cell meets the wireless resource requirement as a target antenna parameter;

and adjusting the parameters of the base station antenna of the main service cell based on the target antenna parameters.

Optionally, the first obtaining unit 210 is further configured to, after the adjusting subunit adjusts the current base station antenna parameter of the primary serving cell based on the current radio resource indicator data of the primary serving cell and a preset radio resource requirement, obtain, again for the problem area, user network related data of the problem grid in the problem area;

the first determining unit 220 is further configured to determine, based on the user network related data of the problem grid, network performance index data of a steady-state user in the problem grid after antenna parameter adjustment is performed;

the device further comprises:

a third determining unit, configured to determine whether antenna parameter adjustment for the problem area reaches a preset adjustment target based on network performance index data of steady-state users in the problem grid in the problem area before and after antenna parameter adjustment;

and the repeated adjusting unit is used for repeatedly executing the cell engineering parameters and the corresponding service scenes based on the problem grid and adjusting the cell base station antenna parameters of the problem grid until the antenna parameters of the problem area are adjusted to reach the adjusting target.

Optionally, the first obtaining unit 210 includes:

the first acquisition subunit is used for acquiring the geographic characteristics of the area to be analyzed and generated user network related data, wherein the user network related data comprises user ticket signaling XDR data and measurement report MR data;

the grid dividing subunit is used for dividing the area to be analyzed into a plurality of grids based on the geographic features of the area to be analyzed;

the association subunit is used for associating the user ticket XDR data with the MR data based on the UE-S1-APID field in the user ticket XDR data and the UE-S1-APID field in the MR data;

and the grid determining subunit is used for determining the grid to which the user network related data belongs based on the plurality of grids obtained by dividing the area to be analyzed and the associated user call ticket XDR data and MR data.

Obviously, the antenna parameter adjusting apparatus according to the embodiment of the present disclosure may be used as an execution main body of the antenna parameter adjusting method shown in fig. 1, and thus the function of the antenna parameter adjusting method shown in fig. 1 can be implemented. Since the principle is the same, it is not described herein again.

Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. Referring to fig. 3, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.

The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 3, but this does not indicate only one bus or one type of bus.

And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.

The processor reads the corresponding computer program from the nonvolatile memory to the memory and then runs the computer program to form the antenna parameter adjusting device on the logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:

The method performed by the antenna parameter adjusting apparatus according to the embodiment shown in fig. 1 in this specification may be implemented in a processor, or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present specification may be embodied directly in a hardware decoding processor, or in a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.

It should be understood that the electronic device of the embodiment of the present specification can implement the functions of the antenna parameter adjusting apparatus in the embodiment shown in fig. 1. Because the principle is the same, the embodiments of the present description are not described herein again.

Of course, besides the software implementation, the electronic device in the present specification does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or logic devices.

Embodiments of the present specification also propose a computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a portable electronic device comprising a plurality of application programs, are capable of causing the portable electronic device to perform the method of the embodiment shown in fig. 1, and in particular to perform the following:

The foregoing description of specific embodiments has been presented for purposes of illustration and description. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

In short, the above description is only a preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present specification shall be included in the protection scope of the present specification.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus comprising the element.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

Claims

1. An antenna parameter adjustment method, comprising:

determining steady-state users within the grid and network performance indicator data for the steady-state users within the grid based on user network related data within the grid;

2. The method of claim 1, wherein the network performance indicator data comprises indicator values corresponding to a plurality of network performance indicators respectively for the steady-state user under a plurality of services;

the determining the problem grid of the area to be analyzed based on the network performance index data of the steady-state users in the grids of the area to be analyzed, includes:

for each service in the plurality of services, determining experience perception scores of steady-state users in each grid of the area to be analyzed for the service based on index values of the steady-state users in each grid of the area to be analyzed under the service, which respectively correspond to a plurality of network performance indexes, and weights of the network performance indexes, which respectively correspond to the service;

determining a comprehensive service perception score corresponding to each grid of the region to be analyzed based on experience perception scores of steady-state users in each grid of the region to be analyzed for the plurality of services;

and determining the grid with the comprehensive service perception score exceeding a preset perception score threshold in the region to be analyzed as a problem grid of the region to be analyzed.

3. The method of claim 1, wherein the adjusting cell base station antenna parameters of the problem grid based on cell engineering parameters of the problem grid and corresponding traffic scenarios comprises:

clustering problem grids of the same service scene based on the incidence relation among the grids in the region to be analyzed and the service scene corresponding to the grids to obtain a plurality of clustering regions;

selecting the clustering areas with the problem grid number exceeding a preset number threshold value from the clustering areas as problem areas to be optimized;

and adjusting the base station antenna parameters of the problem area based on the cell engineering parameters of the problem grid in the problem area to be optimized.

4. The method of claim 3, wherein the cell engineering parameters comprise basic engineering parameters of a primary serving cell;

adjusting the base station antenna parameters of the problem area based on the cell engineering parameters of the problem grid in the problem area to be optimized, including:

5. The method of claim 4, wherein the determining the current radio resource indicator data of the primary serving cell based on the basic engineering parameters and the current base station antenna parameters of the primary serving cell of the problem area comprises:

the adjusting the current base station antenna parameter of the main service cell based on the current wireless resource index data of the main service cell and the preset wireless resource requirement comprises:

repeatedly executing the step of establishing a base station antenna model of the main service cell to the step of carrying out wireless resource simulation analysis on the base station antenna model based on the main service cell based on the current wireless resource index data of the main service cell and a preset wireless resource requirement until the current wireless resource index data of the main service cell reaches the wireless resource requirement;

6. The method of claim 4, wherein after adjusting the current base station antenna parameters of the primary serving cell based on the current radio resource indicator data of the primary serving cell and a preset radio resource requirement, the method further comprises:

for the problem area, acquiring user network related data of the problem grid in the problem area again;

determining network performance index data of steady-state users in the problem grid after antenna parameter adjustment based on the user network related data of the problem grid;

determining whether the antenna parameter adjustment of the problem area reaches a preset adjustment target or not based on network performance index data before and after the antenna parameter adjustment is respectively carried out by steady-state users in the problem grid in the problem area;

if not, the step of adjusting the cell base station antenna parameters of the problem grid based on the cell engineering parameters of the problem grid and the corresponding service scene is repeatedly executed until the adjustment of the antenna parameters of the problem area reaches the adjustment target.

7. The method according to any one of claims 1 to 6, wherein the obtaining of user network related data within a grid of an area to be analyzed comprises:

acquiring geographic characteristics of the area to be analyzed and generated user network related data, wherein the user network related data comprises user ticket signaling XDR data and measurement report MR data;

dividing the area to be analyzed into a plurality of grids based on the geographic features of the area to be analyzed;

associating the user bill XDR data with the MR data based on a UE-S1-APID field in the user bill XDR data and a UE-S1-APID field in the MR data;

and determining the grids to which the user network related data belongs based on the plurality of grids obtained by dividing the area to be analyzed and the associated user bill XDR data and MR data.

8. An antenna parameter adjustment apparatus, comprising:

a second determining unit, configured to determine a problem grid of the area to be analyzed based on network performance indicator data of a steady-state user in each grid of the area to be analyzed in a grid to which the steady-state user belongs;

9. An electronic device, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of any one of claims 1 to 7.

10. A computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method of any of claims 1-7.