阅读说明：本技术 基站的优化方法及设备 (Base station optimization method and equipment ) 是由 董建 于 2019-12-16 设计创作，主要内容包括：本申请实施例提供一种基站的优化方法及设备,该方法包括：获取目标基站的各小区不少于目标数量的目标点,所述目标点包括MR采样点和/或MR栅格标示点；确定各个目标点与所述目标基站中对应天线的方向角；根据各个方向角的单位向量,确定所述各个方向角的向量之和；将所述向量之和的所指方向作为所述对应天线的水平主波瓣最佳方向角；根据所述水平主波瓣最佳方向角,对所述目标基站进行优化。该方法通过将方向角度转变为向量,克服方向角无法计算平均值的问题,水平主波瓣最佳方向角是通过各个方向角的向量之和所指方向得到的,使得各方向的用户体验得到兼顾,使优化后的基站的网络覆盖能兼顾各方向的用户。(The embodiment of the application provides a method and equipment for optimizing a base station, wherein the method comprises the following steps: acquiring target points with the number not less than that of a target in each cell of a target base station, wherein the target points comprise MR sampling points and/or MR grid marking points; determining the direction angle of each target point and the corresponding antenna in the target base station; determining the vector sum of each direction angle according to the unit vector of each direction angle; taking the direction of the vector sum as the optimal direction angle of the horizontal main lobe of the corresponding antenna; and optimizing the target base station according to the optimal direction angle of the horizontal main lobe. According to the method, the direction angle is converted into the vector, the problem that the direction angle cannot be averaged is solved, the optimal direction angle of the horizontal main lobe is obtained through the direction indicated by the sum of the vectors of all the direction angles, so that the user experience of all the directions is considered, and the optimized network coverage of the base station can be considered for the users of all the directions.)

1. A method for optimizing a base station, comprising:

acquiring target points with the number not less than that of a target in each cell of a target base station, wherein the target points comprise measurement report MR sampling points and/or MR grid marking points;

determining the direction angle of each target point and the corresponding antenna in the target base station;

determining the vector sum of each direction angle according to the unit vector of each direction angle;

taking the direction of the vector sum as the optimal direction angle of the horizontal main lobe of the corresponding antenna;

and optimizing the target base station according to the optimal direction angle of the horizontal main lobe.

2. The method of claim 1, further comprising:

according to the expression

Wherein, theta_jJ is 1,2, …, n is the total number of target points.

3. The method of claim 1, wherein determining the vector sum of each directional angle from the unit vectors of each directional angle comprises:

according to the unit vector of each direction angle, based on expression

Wherein the content of the first and second substances,

4. The method according to claim 1, wherein said taking the direction of the sum of the vectors as the horizontal main lobe optimal direction angle of the corresponding antenna comprises:

according to the expression

wherein the content of the first and second substances,

5. The method according to claim 1, wherein the optimizing the target base station according to the horizontal main lobe optimal direction angle comprises:

judging whether the difference value between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is larger than a preset threshold value or not;

and if the difference value between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is greater than a preset threshold value, adjusting the direction angle of the horizontal main lobe of the corresponding antenna according to the optimal direction angle of the horizontal main lobe.

6. An optimization apparatus for a base station, the apparatus comprising a memory, a processor, and computer executable instructions stored in the memory and executable on the processor, the processor implementing the computer executable instructions when executing the computer executable instructions:

acquiring target points with the number not less than that of a target in each cell of a target base station, wherein the target points comprise MR sampling points and/or MR grid marking points;

determining the direction angle of each target point and the corresponding antenna in the target base station;

determining the vector sum of each direction angle according to the unit vector of each direction angle;

taking the direction of the vector sum as the optimal direction angle of the horizontal main lobe of the corresponding antenna;

and optimizing the target base station according to the optimal direction angle of the horizontal main lobe.

7. The apparatus of claim 6, wherein the processor when executing the computer executable instructions further performs the steps of:

according to the expression

Wherein, theta_jJ is 1,2, …, n is the total number of target points.

8. The apparatus of claim 6, wherein determining the vector sum for each directional angle from the unit vectors for each directional angle comprises:

according to the unit vector of each direction angle, based on expression

Wherein the content of the first and second substances,

9. The apparatus of claim 6, wherein the taking the direction of the vector sum as the horizontal main lobe optimal direction angle of the corresponding antenna comprises:

according to the expression

wherein the content of the first and second substances,

10. A computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, which when executed by a processor, implement the method for optimizing a base station according to any one of claims 1 to 5.

Technical Field

The embodiment of the application relates to the technical field of communication, in particular to a method and equipment for optimizing a base station.

Background

With the continuous development of economy, communication technology is rapidly developed, and base station deployment is required in the communication process. The direction angle of the antenna in the base station is an important factor influencing the deployment quality of the base station, and if the direction angle of the antenna of the base station is improperly set, the network coverage can be influenced, so that the set direction angle of the antenna of the base station is an important item in network optimization engineering.

At present, the method for determining the antenna direction angle in a base station generally obtains the distance and direction angle between a sampling point and an antenna in each cell in the base station, and counts the sampling point ratio of each direction angle interval to obtain the direction angle interval to which the sampling point with the largest ratio belongs; and determining the optimal direction angle according to the direction angle interval to which the sampling point with the largest ratio belongs.

However, the above method only considers the user in the direction angle interval to which the sampling point with the largest ratio belongs, and considers one side, so that the error of the optimal direction angle determined by the above method is large, and the deployment quality of the base station is affected.

Disclosure of Invention

The embodiment of the application provides a method and equipment for optimizing a base station, which are used for solving the problems that in the prior art, the direction angle of an antenna is determined by a user in a direction angle interval to which a sampling point with the largest ratio belongs, and the determined optimal direction angle has a large error and influences the deployment quality of the base station due to the consideration of one plane.

In a first aspect, an embodiment of the present application provides a method for optimizing a base station, including:

acquiring target points with the number not less than a target number in each cell of a target base station, wherein the target points comprise Measurement Report (MR) sampling points and/or MR grid marking points;

determining the direction angle of each target point and the corresponding antenna in the target base station;

determining the vector sum of each direction angle according to the unit vector of each direction angle;

taking the direction of the vector sum as the optimal direction angle of the horizontal main lobe of the corresponding antenna;

and optimizing the target base station according to the optimal direction angle of the horizontal main lobe.

In one possible design, further comprising:

according to the expression

Determining unit vectors of the respective direction angles

Wherein, theta_jJ is 1,2, …, n is the total number of target points.

In one possible design, the determining a vector sum of the respective direction angles according to the unit vectors of the respective direction angles includes:

according to the unit vector of each direction angle, based on expression

Determining the sum of the vectors of the respective direction angles

Wherein the content of the first and second substances,is composed of

Is composed of

θ_jJ is 1,2, …, n is the total number of target points.

In one possible design, the taking the direction of the vector sum as the optimal azimuth angle of the horizontal main lobe of the corresponding antenna includes:

according to the expression

Determining the direction to which the sum of said vectors points

Will be provided with

As the optimal azimuth angle of the horizontal main lobe of the corresponding antenna;

wherein the content of the first and second substances,

is composed of

Is composed of

θ_jJ is 1,2, …, n is the total number of target points.

In one possible design, the optimizing the target base station according to the optimal direction angle of the horizontal main lobe includes:

judging whether the difference value between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is larger than a preset threshold value or not;

and if the difference value between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is greater than a preset threshold value, adjusting the direction angle of the horizontal main lobe of the corresponding antenna according to the optimal direction angle of the horizontal main lobe.

In a second aspect, an embodiment of the present application provides an optimization apparatus for a base station, where the apparatus includes a memory, a processor, and computer-executable instructions stored in the memory and executable on the processor, and the processor executes the computer-executable instructions to implement the following steps:

acquiring target points with the number not less than that of a target in each cell of a target base station, wherein the target points comprise MR sampling points and/or MR grid marking points;

determining the direction angle of each target point and the corresponding antenna in the target base station;

determining the vector sum of each direction angle according to the unit vector of each direction angle;

taking the direction of the vector sum as the optimal direction angle of the horizontal main lobe of the corresponding antenna;

and optimizing the target base station according to the optimal direction angle of the horizontal main lobe.

In one possible design, the processor, when executing the computer-executable instructions, further performs the steps of:

according to the expression

Determining unit vectors of the respective direction angles

Wherein, theta_jJ is 1,2, …, n is the total number of target points.

In one possible design, the determining a vector sum of the respective direction angles according to the unit vectors of the respective direction angles includes:

according to the unit vector of each direction angle, based on expressionDetermining the sum of the vectors of the respective direction angles

Wherein the content of the first and second substances,

is composed of

Is composed of

θ_jJ is 1,2, …, n is the total number of target points.

In one possible design, the taking the direction of the vector sum as the optimal azimuth angle of the horizontal main lobe of the corresponding antenna includes:

according to the expression

Determining the direction to which the sum of said vectors points

Will be provided with

As the optimal azimuth angle of the horizontal main lobe of the corresponding antenna;

wherein the content of the first and second substances,

is composed of

Is composed ofθ_jJ is 1,2, …, n is the total number of target points.

In one possible design, the optimizing the target base station according to the optimal direction angle of the horizontal main lobe includes:

judging whether the difference value between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is larger than a preset threshold value or not;

and if the difference value between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is greater than a preset threshold value, adjusting the direction angle of the horizontal main lobe of the corresponding antenna according to the optimal direction angle of the horizontal main lobe.

In a third aspect, an embodiment of the present application provides another computer-readable storage medium, where a computer-executable instruction is stored in the computer-readable storage medium, and when a processor executes the computer-executable instruction, the method for optimizing a base station according to the first aspect and various possible designs of the first aspect is implemented.

According to the base station optimization method and the base station optimization equipment, the positioning big data of the actual user are utilized by acquiring the target points of which the number of each cell of the target base station is not less than the target number, so that the distribution requirements of the user are better met; determining the direction angles of each target point and the corresponding antenna, determining the vector sum of each direction angle according to the unit vector of each direction angle, converting the direction angles into vectors, and overcoming the problem that the direction angles cannot calculate an average value; the direction indicated by the vector sum is taken as the optimal direction angle of the horizontal main lobe of the corresponding antenna, and the optimal direction angle of the horizontal main lobe is obtained through the direction indicated by the vector sum of all the direction angles, so that the user experience in all the directions is considered; and optimizing the target base station according to the optimal direction angle of the horizontal main lobe, so that the network coverage of the optimized base station can consider users in all directions.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.

Fig. 1 is a schematic architecture diagram of an optimization system of a base station according to an embodiment of the present disclosure;

fig. 2 is a flowchart illustrating a method for optimizing a base station according to an embodiment of the present disclosure;

FIG. 3 is a diagram illustrating conversion of direction angles into unit vectors according to an embodiment of the present disclosure;

fig. 4 is a flowchart illustrating another method for optimizing a base station according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an optimization apparatus of a base station according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of another optimization apparatus for a base station according to an embodiment of the present disclosure;

fig. 7 is a schematic hardware structure diagram of an optimization device of a base station according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but 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 application.

The direction angle of the antenna in the base station is an important factor influencing the deployment quality of the base station, and if the direction angle of the antenna of the base station is improperly set, the network coverage can be influenced, so that the set direction angle of the antenna of the base station is an important item in network optimization engineering.

At present, the method for determining the antenna direction angle in a base station generally obtains the distance and direction angle between a sampling point and an antenna in each cell in the base station, and counts the sampling point ratio of each direction angle interval to obtain the direction angle interval to which the sampling point with the largest ratio belongs; and determining the optimal direction angle according to the direction angle interval to which the sampling point with the largest ratio belongs.

However, the above method only considers the user in the direction angle interval to which the sampling point with the largest ratio belongs, and considers one side, so that the error of the optimal direction angle determined by the above method is large, and the deployment quality of the base station is affected.

Since the direction angle is periodic data, the optimum direction angle cannot be determined by calculating the average value of the respective direction angles.

Therefore, in view of the above problems, embodiments of the present application provide a method for optimizing a base station, where the method better meets the user distribution requirement by obtaining target points of a target base station, where the number of the target points is not less than a target number, and using positioning big data of an actual user; determining the direction angles of each target point and the corresponding antenna, determining the vector sum of each direction angle according to the unit vector of each direction angle, converting the direction angles into vectors, and overcoming the problem that the direction angles cannot calculate an average value; the direction indicated by the vector sum is taken as the optimal direction angle of the horizontal main lobe of the corresponding antenna, and the optimal direction angle of the horizontal main lobe is obtained through the direction indicated by the vector sum of all the direction angles, so that the user experience in all the directions is considered; and optimizing the target base station according to the optimal direction angle of the horizontal main lobe, so that the network coverage of the optimized base station can consider users in all directions.

An embodiment of the present application provides a method for optimizing a base station, where the method may be applied to an architecture diagram of an optimization system of a base station shown in fig. 1, and as shown in fig. 1, the system provided in the embodiment of the present application includes a terminal 101. The terminal 101 includes: at least one of a memory, a positioning device, and a processor. The memory may store MR sampling point data and/or MR grid marking point data of each cell of the base station. The positioning device can position the position information of the MR sampling points and/or the MR grid marking points. The processor of the terminal 101 may obtain target points of which the number is not less than the target number in each cell of the target base station; the direction angle of each target point and the corresponding antenna in the target base station can be determined; or determining the vector sum of each direction angle according to the unit vector of each direction angle; meanwhile, the direction of the vector sum can be used as the optimal direction angle of the horizontal main lobe of the corresponding antenna; and the target base station can be optimized according to the optimal direction angle of the horizontal main lobe. The target base station is a base station that needs to be optimally deployed, for example, a horizontal main lobe direction angle of a corresponding antenna of the target base station is adjusted.

It should be understood that the processor may be implemented by reading instructions in the memory and executing the instructions, or may be implemented by a chip circuit.

The system is only an exemplary system, and when the system is implemented, the system can be set according to application requirements.

The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

Fig. 2 is a flowchart illustrating a method for optimizing a base station according to an embodiment of the present application, where an execution subject according to the embodiment of the present application may be a processor of the terminal 101 in the embodiment shown in fig. 1. As shown in fig. 2, the method may include:

s201: and acquiring target points with the number not less than the target number in each cell of the target base station, wherein the target points comprise MR sampling points and/or MR grid marking points.

And the MR sampling points are sampling points of a measurement report reported by the terminal.

The MR grid marking points are the equalization of all MR sampling points reported by all terminals in the preset grid area. The MR grid marks points reflecting the network coverage and quality conditions within the grid area. The area of the preset grid is not limited in the embodiment of the application.

In the embodiment of the application, the MR sampling points or MR grid marking point data of each cell of the base station are pre-stored in the MR acquisition platform, and the MR sampling points or MR grid marking point data not less than the preset number of each cell of the base station are extracted from the MR acquisition platform. The MR sampling point or MR grid marking point data includes longitude and latitude of the MR sampling point or MR grid marking point.

The target number can be set according to the actual application scene.

For example, the obtaining of the target point that is not less than the target number in each cell of the target base station may be implemented by, but not limited to, the following manners:

obtaining MR sampling point data and/or MR grid marking point data through an Assisted Global Positioning System (AGPS for short);

alternatively, the MR sampling point data and/or the MR grid marking point data are obtained by a conventional positioning method, for example, the MR sampling point data and/or the MR grid marking point data based on Round-trip-time (RTT) positioning method.

The target point carries position information, such as longitude and latitude of the target point.

S202: and determining the direction angle of each target point and the corresponding antenna in the target base station.

Illustratively, the distance and the direction angle between each target point and the corresponding antenna are calculated according to the longitude and the latitude carried by each target point. For example, when calculating the direction angle of an MR grid marking point and a corresponding antenna, the longitude and latitude of the grid center point of the MR grid marking point are used to calculate the distance and the direction angle to the corresponding antenna.

Optionally, after determining the direction angle of each target point and the corresponding antenna in the target base station, according to the expression

Determining unit vectors of the respective direction angles

Wherein, theta_jJ is the j-th direction angle, j is 1,2, …, n is the total number of the target points, i.e. j is an integer from 1 to n.

Fig. 3 is a schematic diagram of converting a direction angle into a unit vector according to an embodiment of the present application. As shown in fig. 3, the direction angle θ of the target point is obtained_jThen, the cosine value cos θ can be obtained_jAnd sine value sin theta_j。

Illustratively, based on the respective direction angles, cosine values cos θ of the respective direction angles are determined_jAnd sine value sin theta_jThen by the expression

Cosine values cos theta substituted into respective direction angles_jAnd sine value sin theta_jObtaining unit vectors of each direction angle

For example, the first direction angle θ₁Is at an angle of 45 degrees,

thereby converting the direction angle into a vector.

S203: and determining the vector sum of each direction angle according to the unit vector of each direction angle.

Optionally, the determining a sum of vectors of the respective direction angles according to the unit vectors of the respective direction angles includes:

according to the unit vector of each direction angle, based on expression

Determining the sum of the vectors of the respective direction angles

Wherein the content of the first and second substances,

is composed of

Is composed of

θ_jJ is 1,2, …, n is the total number of target points.

Illustratively, the direction angles θ of the respective target points are obtained_jThen, the cosine value cos θ can be obtained_jAnd sine value sin theta_jAnd determining the sum of the cosine value and the sine value of each direction angle to obtain the vector sum of each direction angle. For example, n is 3 and the direction angles are each θ₁、θ₂And theta₃，θ₁Is 45 DEG theta₂Is 45 DEG theta₃Is 60 degrees,

s204: and taking the direction of the vector sum as the optimal direction angle of the horizontal main lobe of the corresponding antenna.

Optionally, the taking the direction of the vector sum as the optimal direction angle of the horizontal main lobe of the corresponding antenna includes:

according to the expressionDetermining the direction to which the sum of said vectors points

Will be provided with

As the optimal azimuth angle of the horizontal main lobe of the corresponding antenna;

wherein the content of the first and second substances,

is composed of

Is composed of

θ_jJ is 1,2, …, n is the total number of target points.

Illustratively, when

And is

Direction of vector sumFor example, when

When in use When in use

The optimal direction angle of the horizontal main lobe of the corresponding antenna is obtained through the direction indicated by the vector sum of all the direction angles, so that the user experience in all the directions is considered, the calculation is completed only through the coordinate system conversion, and the calculation is simple and accurate.

S205: and optimizing the target base station according to the optimal direction angle of the horizontal main lobe.

Illustratively, the direction angle of the corresponding antenna is adjusted according to the optimal direction angle of the horizontal main lobe of the corresponding antenna, and the target base station is optimized, so as to reduce the influence of the target base station on network coverage, improve deployment quality, and enable the network coverage of the optimized base station to take into account users in all directions.

According to the base station optimization method provided by the embodiment of the application, the positioning big data of the actual user are utilized by acquiring the target points with the number not less than the target number in each cell of the target base station, so that the distribution requirements of the user are better met; determining the direction angles of each target point and the corresponding antenna, determining the vector sum of each direction angle according to the unit vector of each direction angle, converting the direction angles into vectors, and overcoming the problem that the direction angles cannot calculate an average value; the direction indicated by the vector sum is taken as the optimal direction angle of the horizontal main lobe of the corresponding antenna, and the optimal direction angle of the horizontal main lobe is obtained through the direction indicated by the vector sum of all the direction angles, so that the user experience in all the directions is considered; and optimizing the target base station according to the optimal direction angle of the horizontal main lobe, so that the network coverage of the optimized base station can consider users in all directions.

Fig. 4 is a flowchart illustrating another method for optimizing a base station according to an embodiment of the present application, where an execution main body of the embodiment of the present application may be a processor of the terminal 101 in the embodiment shown in fig. 1. As shown in fig. 4, the embodiment of the present application is based on the embodiment of fig. 2, and includes:

s401: and acquiring target points with the number not less than the target number in each cell of the target base station, wherein the target points comprise MR sampling points and/or MR grid marking points.

S402: and determining the direction angle of each target point and the corresponding antenna in the target base station.

S403: and determining the vector sum of each direction angle according to the unit vector of each direction angle.

S404: and taking the direction of the vector sum as the optimal direction angle of the horizontal main lobe of the corresponding antenna.

The implementation of 401-404 is the same as the implementation of S201-S204, and the description thereof is omitted here

S405: and optimizing the target base station according to the optimal direction angle of the horizontal main lobe.

Optionally, the optimizing the target base station according to the optimal direction angle of the horizontal main lobe includes:

s4051: and judging whether the difference value between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is greater than a preset threshold value.

The preset threshold may be set according to an actual application scenario, for example, when the requirement on deployment quality of the base station is high, the preset threshold may be set to be smaller, so that a deviation between a horizontal main lobe direction angle of a corresponding antenna and an optimal direction angle of a horizontal main lobe is smaller; when the requirement on the deployment quality of the base station is low, the preset threshold value can be set to be larger, so that the follow-up adjustment is avoided from being too frequent.

S4052: and if the difference value between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is greater than a preset threshold value, adjusting the direction angle of the horizontal main lobe of the corresponding antenna according to the optimal direction angle of the horizontal main lobe.

If the difference between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is greater than the preset threshold, it is indicated that the deviation between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is large, and the direction angle of the horizontal main lobe of the corresponding antenna can be adjusted to a state with good user experience in each direction by adjusting the corresponding antenna based on the optimal direction angle of the horizontal main lobe, so that the network coverage of the optimized base station can give consideration to users in each direction.

According to the base station optimization method provided by the embodiment of the application, the positioning big data of the actual user are utilized by acquiring the target points with the number not less than the target number in each cell of the target base station, so that the distribution requirements of the user are better met; determining the direction angles of each target point and the corresponding antenna, determining the vector sum of each direction angle according to the unit vector of each direction angle, converting the direction angles into vectors, and overcoming the problem that the direction angles cannot calculate an average value; the direction indicated by the vector sum is taken as the optimal direction angle of the horizontal main lobe of the corresponding antenna, and the optimal direction angle of the horizontal main lobe is obtained through the direction indicated by the vector sum of all the direction angles, so that the user experience in all the directions is considered; when the difference between the direction angle of the horizontal main lobe of the corresponding antenna and the optimal direction angle of the horizontal main lobe is greater than the preset threshold, the corresponding antenna is adjusted based on the optimal direction angle of the horizontal main lobe, so that the direction angle of the horizontal main lobe of the corresponding antenna can be adjusted to a state with better user experience in each direction, and the optimized network coverage of the base station can give consideration to users in each direction.

Corresponding to the optimization method of the base station in the foregoing embodiment, fig. 5 is a schematic structural diagram of an optimization apparatus of the base station provided in the embodiment of the present application. For convenience of explanation, only portions related to the embodiments of the present application are shown. As shown in fig. 5, the optimization apparatus 50 of the base station includes: an acquisition module 501, a first determination module 502, a second determination module 503, a processing module 504, and an optimization module 505.

An obtaining module 501, configured to obtain target points that are not less than a target number in each cell of a target base station, where the target points include MR sampling points and/or MR grid marking points;

a first determining module 502, configured to determine a direction angle between each target point and a corresponding antenna in the target base station;

a second determining module 503, configured to determine a sum of vectors of each direction angle according to the unit vector of each direction angle;

a processing module 504, configured to take the direction indicated by the vector sum as the optimal direction angle of the horizontal main lobe of the corresponding antenna;

and an optimizing module 505, configured to optimize the target base station according to the optimal direction angle of the horizontal main lobe.

The apparatus provided in the embodiment of the present application may be configured to implement the technical solution of the method embodiment, and the implementation principle and the technical effect are similar, which are not described herein again in the embodiment of the present application.

Fig. 6 is a schematic structural diagram of another optimization apparatus for a base station according to an embodiment of the present disclosure. As shown in fig. 6, the optimization apparatus 60 for a base station provided in this embodiment further includes, on the basis of the embodiment in fig. 5: the third determination module 506, the optimization module 505, includes a determination sub-module 5051 and an adjustment sub-module 5052.

The third determining module 506 is configured to determine the expression

Determining unit vectors of the respective direction angles

Wherein, theta_jJ is 1,2, …, n is the total number of target points.

The second determining module 503 determines the vector sum of each direction angle according to the unit vector of each direction angle, including:

according to the unit vector of each direction angle, based on expression

Determining the sum of the vectors of the respective direction angles

Wherein the content of the first and second substances,

is composed of

Is composed of

θ_jJ is 1,2, …, n is the total number of target points.

The processing module 504 regards the direction indicated by the vector sum as the optimal direction angle of the horizontal main lobe of the corresponding antenna, and includes:

according to the expression

Determining the direction to which the sum of said vectors points

Will be provided with

As the optimal azimuth angle of the horizontal main lobe of the corresponding antenna;

wherein the content of the first and second substances,

is composed of

Is composed of

θ_jJ is 1,2, …, n is the total number of target points.

The determining submodule 5051 is configured to determine whether a difference between the horizontal main lobe direction angle of the corresponding antenna and the optimal direction angle of the horizontal main lobe is greater than a preset threshold.

The adjusting module 5052 is configured to adjust the horizontal main lobe direction angle of the corresponding antenna according to the horizontal main lobe optimal direction angle if a difference between the horizontal main lobe direction angle of the corresponding antenna and the horizontal main lobe optimal direction angle is greater than a preset threshold.

The apparatus provided in the embodiment of the present application may be configured to implement the technical solution of the method embodiment, and the implementation principle and the technical effect are similar, which are not described herein again in the embodiment of the present application.

Fig. 7 is a schematic hardware structure diagram of an optimization device of a base station according to an embodiment of the present application. As shown in fig. 7, the optimization apparatus 70 of the base station according to the embodiment of the present application includes: a processor 701 and a memory 702; wherein

A memory 702 for storing computer-executable instructions;

the processor 701 is configured to execute the computer execution instructions stored in the memory to implement the steps of the optimization method of the base station in the foregoing embodiments. Reference may be made in particular to the description relating to the method embodiments described above.

Alternatively, the memory 702 may be separate or integrated with the processor 701.

When the memory 702 is provided separately, the optimizing device of the base station further comprises a bus 703 for connecting said memory 702 and the processor 701.

An embodiment of the present application further provides a computer-readable storage medium, where a computer execution instruction is stored in the computer-readable storage medium, and when a processor executes the computer execution instruction, the method for optimizing the base station in the foregoing embodiment is implemented.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the optimization apparatus of the base station are merely illustrative, and for example, the division of the modules is only one logical function division, and there may be other divisions when the actual implementation is performed, for example, a plurality of modules may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to implement the scheme of the embodiment of the present application.

In addition, functional modules in the embodiments of the present application may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.

The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor to execute part of the steps of the optimization method of the base station according to the embodiments of the present application.

It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the optimization method for a base station disclosed in this application may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor.

The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.

The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (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, the buses in the figures of the present application are not limited to only one bus or one type of bus.

The storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.

Those of ordinary skill in the art will understand that: all or part of the steps of the optimization method embodiment for realizing the base stations can be completed by hardware related to program instructions. The program may be stored in a computer-readable storage medium. When the program is executed, the program executes the steps of the optimization method embodiment comprising each base station; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should 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 or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.