CN117097373A

CN117097373A - MIMO antenna parameter determination method and device, electronic equipment and storage medium

Info

Publication number: CN117097373A
Application number: CN202210517928.1A
Authority: CN
Inventors: 赵皓; 尹笑康; 吕喆
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Priority date: 2022-05-12
Filing date: 2022-05-12
Publication date: 2023-11-21

Abstract

The application discloses a method and a device for determining Multiple Input Multiple Output (MIMO) antenna parameters, electronic equipment and a storage medium. The method comprises the following steps: acquiring first information, second information and third information; the first information comprises engineering parameters of network equipment; the second information includes Minimum Drive Test (MDT) data associated with the network device; the third information comprises digital map data associated with the network device; according to the first information, the second information and the third information, N first beams, M second beams and antenna parameters of each beam corresponding to a first cell corresponding to the network equipment are determined; wherein N and M are integers greater than 0; the first parameter of the first beam is greater than the first parameter of the second beam; the first parameter characterizes the coverage area of the beam; the first parameter is determined from the first information, the second information, and the third information.

Description

MIMO antenna parameter determination method and device, electronic equipment and storage medium

Technical Field

The present application relates to the field of wireless communications, and in particular, to a method and apparatus for determining multiple input multiple output (MIMO, multiple Input Multiple Output) antenna parameters, an electronic device, and a storage medium.

Background

In general, the goal of Massive (Massive) MIMO antenna parameter optimization is to adjust the beam of a cell by adjusting the antenna parameters so that the user experience of a cell or cells is optimal, even if the coverage of the cell is optimal.

However, in the related art, the manner of optimizing the MIMO antenna parameters (i.e., the manner of determining the MIMO antenna parameters) is still required to be optimized.

Disclosure of Invention

In order to solve the related technical problems, the embodiment of the application provides a method and a device for determining MIMO antenna parameters, electronic equipment and a storage medium.

The technical scheme of the embodiment of the application is realized as follows:

the embodiment of the application provides a method for determining MIMO antenna parameters, which comprises the following steps:

acquiring first information, second information and third information; the first information comprises engineering parameters of network equipment; the second information includes Minimum Drive Test (MDT) data associated with the network device; the third information comprises digital map data associated with the network device;

according to the first information, the second information and the third information, N first beams, M second beams and antenna parameters of each beam corresponding to a first cell corresponding to the network equipment are determined; wherein N and M are integers greater than 0; the first parameter of the first beam is greater than the first parameter of the second beam; the first parameter characterizes the coverage area of the beam; the first parameter is determined from the first information, the second information, and the third information.

In the above solution, the determining, according to the first information, the second information, and the third information, N first beams and M second beams corresponding to the first cell includes:

acquiring an adjustable range of a digital azimuth corresponding to the first cell;

according to the adjustable range of the digital azimuth angle corresponding to the first cell, P candidate beams are determined; p is an integer greater than Q, Q represents a preset total beam number corresponding to the first cell, and Q is equal to the sum of N and M; the digital azimuth of each candidate beam is different;

determining a first parameter of each candidate beam according to the first information, the second information and the third information;

determining N first beams from the P candidate beams according to the first parameters of each candidate beam; and determining M second beams based on the determined N first beams.

In the above solution, the determining, according to the first information, the second information, and the third information, the first parameter of each candidate beam includes:

according to the third information, performing three-dimensional rasterization on a first geographic area associated with the network equipment to obtain a plurality of grids and the position of each grid; the third information includes digital map data of the first geographic area;

Determining the position of the network equipment according to the first information;

determining a plurality of grids corresponding to the first cell from the obtained grids according to the obtained positions of each grid and the positions of the network equipment;

determining a plurality of grids which can be covered by each candidate beam according to the position of each grid corresponding to the first cell and the position of the network equipment;

determining a first parameter of each candidate beam according to the second information and a plurality of grids which can be covered by each candidate beam; the second information includes MDT data associated with the first geographic area.

In the above solution, the determining, according to the obtained location of each grid and the location of the network device, a plurality of grids corresponding to the first cell from the obtained plurality of grids includes:

screening out grids which do not meet a first condition from a plurality of grids obtained by rasterizing the first geographical area according to the third information to obtain a plurality of filtered grids; the geographic area corresponding to the first condition representation grid cannot receive communication signals;

and determining a plurality of grids corresponding to the first cell from the filtered grids according to the obtained position of each grid and the position of the network equipment.

In the above solution, the determining, according to the obtained location of each grid and the location of the network device, a plurality of grids corresponding to the first cell from the filtered plurality of grids includes:

determining a first angle corresponding to each grid in the filtered multiple grids according to the position of the network device and the position of the grid; the first angle characterizes an included angle between the grid and the network device and a first direction on a first plane; the first plane is parallel to the ground; the first direction comprises a Y-axis direction of a coordinate system of the rasterization process;

and determining a plurality of grids corresponding to the first cell according to the obtained first angle corresponding to each grid.

In the above solution, the determining, according to the location of each grid corresponding to the first cell and the location of the network device, a plurality of grids that each candidate beam can cover includes:

for each grid corresponding to the first cell, determining a first angle and a second angle corresponding to the grid according to the position of the network equipment and the position of the grid; the first angle characterizes an included angle between the grid and the network device and a first direction on a first plane; the first plane is parallel to the ground; the first direction comprises a Y-axis direction of a coordinate system of the rasterization process; the second angle characterizes an included angle between the grid and the network device in a second direction; the second direction is perpendicular to the ground;

For each candidate beam, determining the grid as a grid which can be covered by the candidate beam when the first angle corresponding to the grid meets a second condition and the second angle corresponding to the grid meets a third condition; the second condition represents the relation among the first angle corresponding to the grid, the digital azimuth angle of the candidate beam and the second parameter; the second parameter is determined according to a preset beam horizontal wave width; the third condition represents the relation among a second angle corresponding to the grid, the digital downtilt angle of the candidate beam and a third parameter; the third parameter is determined according to a preset vertical wave width of the wave beam; the digital downtilt angle of the candidate beam is determined according to the position of each grid corresponding to the first cell and the position of the network equipment.

In the above scheme, the method further comprises:

and determining the digital downtilt angle of each candidate beam according to the position of each grid corresponding to the first cell and the position of the network equipment.

In the above solution, the determining, according to the position of each grid corresponding to the first cell and the position of the network device, the digital downtilt angle of each candidate beam includes:

Determining a minimum second angle corresponding to the first cell according to a second angle corresponding to each grid corresponding to the first cell;

according to the first information, determining a network equipment distance and a mechanical downtilt angle corresponding to the first cell;

determining the digital downtilt angle of each candidate wave beam according to the minimum second angle, the network equipment spacing, the mechanical downtilt angle corresponding to the first cell and a third parameter; wherein the third parameter is determined according to a preset vertical wave width of the wave beam; the digital downtilt angle satisfies a fourth condition and a fifth condition; the fourth condition characterizes a relationship between the digital downtilt, the minimum second angle, and a mechanical downtilt corresponding to the first cell; the fifth condition characterizes a relationship between the fourth parameter and the fifth parameter; the fourth parameter is determined according to the digital downtilt angle, the mechanical downtilt angle corresponding to the first cell and the third parameter; the fourth parameter can reflect coverage of the N first beams; the fifth parameter is determined from the network device spacing.

In the above solution, the determining, according to the second information and the multiple grids that each candidate beam can cover, the first parameter of each candidate beam includes:

Determining a plurality of grids with heights meeting a sixth condition from a plurality of grids obtained by rasterizing the first geographical area;

according to the second information, determining a sixth parameter corresponding to each grid with the height meeting a sixth condition; the sixth parameter characterizes the total flow number of the grids corresponding to the second direction; the second direction is perpendicular to the ground;

determining a seventh parameter corresponding to each grid obtained by rasterizing the first geographic area according to a sixth parameter corresponding to each grid with the height meeting a sixth condition; the seventh parameter characterizes an average number of flows between a grid and a plurality of grids corresponding to the second direction;

and determining the first parameter of each candidate beam by using a seventh parameter corresponding to each grid in the plurality of grids which can be covered by each candidate beam.

In the above solution, the determining, according to the first parameter of each candidate beam, N first beams from the P candidate beams includes:

sorting the P candidate beams according to the first parameter to obtain a sorting result;

according to the sorting result, N first beams are determined from the P candidate beams; the difference of the digital azimuth angles of any two first beams in the determined N first beams is larger than or equal to a second parameter; the second parameter is determined according to a preset beam horizontal bandwidth.

In the above solution, the determining the antenna parameter of each beam includes:

for each first beam, determining a digital azimuth of the corresponding candidate beam as a digital azimuth of the first beam, and determining a digital downtilt of the corresponding candidate beam as a digital downtilt of the first beam; the digital downtilt angle of the candidate beam is determined according to the position of each grid corresponding to the first cell and the position of the network equipment.

and determining the digital downtilt angle and the digital azimuth angle of each second beam according to the position of each grid corresponding to the first cell and the position of the network equipment.

In the above solution, the determining, according to the position of each grid corresponding to the first cell and the position of the network device, the digital downtilt angle of each second beam includes:

determining the maximum distance between the grid corresponding to the first cell and the network equipment according to the position of each grid corresponding to the first cell and the position of the network equipment;

determining a digital downtilt angle of each second beam according to the maximum distance between the grid corresponding to the first cell and the network equipment, the third parameter and the position of the network equipment; the third parameter is determined according to a preset beam vertical bandwidth.

The embodiment of the application also provides a device for determining the parameters of the MIMO antenna, which comprises the following steps:

an acquisition unit configured to acquire first information, second information, and third information; the first information comprises engineering parameters of network equipment; the second information comprises MDT data associated with the network equipment; the third information comprises digital map data associated with the network device;

the processing unit is used for determining N first beams, M second beams and antenna parameters of each beam corresponding to a first cell corresponding to the network equipment according to the first information, the second information and the third information; wherein N and M are integers greater than 0; the first parameter of the first beam is greater than the first parameter of the second beam; the first parameter characterizes the coverage area of the beam; the first parameter is determined from the first information, the second information, and the third information.

The embodiment of the application also provides electronic equipment, which comprises: a communication interface and a processor; wherein,

the processor is used for acquiring first information, second information and third information through the communication interface; the first information comprises engineering parameters of network equipment; the second information comprises MDT data associated with the network equipment; the third information comprises digital map data associated with the network device;

The embodiment of the application also provides electronic equipment, which comprises: a processor and a memory for storing a computer program capable of running on the processor,

wherein the processor is configured to execute the steps of any of the methods described above when the computer program is run.

The embodiment of the application also provides a storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of any of the methods described above.

The method, the device, the electronic equipment and the storage medium for determining the MIMO antenna parameters acquire first information, second information and third information; the first information comprises engineering parameters of network equipment; the second information comprises MDT data associated with the network equipment; the third information comprises digital map data associated with the network device; according to the first information, the second information and the third information, N first beams, M second beams and antenna parameters of each beam corresponding to a first cell corresponding to the network equipment are determined; wherein N and M are integers greater than 0; the first parameter of the first beam is greater than the first parameter of the second beam; the first parameter characterizes the coverage area of the beam; the first parameter is determined from the first information, the second information, and the third information. According to the scheme provided by the embodiment of the application, N first beams, M second beams, antenna parameters of each first beam and antenna parameters of each second beam corresponding to a first cell corresponding to network equipment are determined according to engineering parameters of the network equipment, MDT data associated with the network equipment and digital map data associated with the network equipment, wherein the first parameters of the first beams are larger than the first parameters of the second beams, and the first parameters characterize the coverage range of the beams; since the first parameters are determined according to engineering parameters of the network device, MDT data associated with the network device, and digital map data associated with the network device, the first parameters can reflect a depth coverage (i.e., a three-dimensional coverage) of the beam, so that a depth coverage (i.e., a three-dimensional coverage) of the cell can be guaranteed by N first beams, and a plane coverage (i.e., a coverage for an indoor scene such as a high-rise building) of the cell can be guaranteed by M second beams, thereby improving an effective coverage of the cell.

Drawings

Fig. 1 is a flow chart of a method for determining MIMO antenna parameters according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a Massive MIMO antenna parameter optimization system according to an application embodiment of the present application;

fig. 3 is a schematic diagram of an optimization flow of Massive MIMO antenna parameters according to an application embodiment of the present application;

fig. 4 is a schematic structural diagram of a MIMO antenna parameter determining apparatus according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the application.

Detailed Description

The present application will be described in further detail with reference to the accompanying drawings and examples.

Before describing embodiments of the present application, the following terms will be explained:

the horizontal bandwidth of a beam refers to the angle between the two directions of the half power angle (3 dB) of the radiation power drop at the two sides of the maximum radiation direction of the beam in the horizontal direction.

The vertical bandwidth of a beam refers to the angle between the two directions of 3dB of radiation power drop at both sides of the maximum radiation direction of the beam in the vertical direction.

Azimuth, which may also be referred to as azimuth, refers to the angle that a plane in the north direction rotates clockwise to coincide with the plane in which the antenna is located; the mechanical azimuth angle refers to a physical azimuth angle, namely a real azimuth angle; the digital azimuth may also be referred to as electronic azimuth, which is a software-level azimuth, i.e. the antenna is controlled to adjust to the corresponding mechanical azimuth.

Downtilt refers to the angle between the antenna and the vertical plane; the mechanical downtilt is the physical downtilt, i.e. the true downtilt; the digital downtilt may also be referred to as an electronic downtilt, which is a software-level downtilt, i.e. a downtilt that controls the antenna to adjust to a corresponding mechanical downtilt.

The coverage area (which may be expressed as Cross region coverage in english) refers to the area covered by other sites because the coverage distance of the cell is too far due to the too high hanging or too small pitching angle of the base station antenna, and the signal level received by the mobile phone is better in the area.

Overlapping coverage means that the interference influence from the users of one cell to more co-frequency adjacent cells is larger.

Coverage holes refer to areas in the network where coverage holes or signals are weak.

In the related art, when configuring the Massive MIMO antenna parameters, a configuration mode based on a preset composite beam or a configuration mode based on a preset sub-beam may be adopted. Where the composite beam refers to the maximum value of the gains of all beams of a cell in different directions, a plurality of composite beams may be generally set for each cell based on a scene, and a downtilt angle and an azimuth angle of each composite beam. When the configuration mode based on the preset sub-beams is adopted, a plurality of sub-beams which can provide optimal user experience can be selected for each cell from the preset limited sub-beams.

However, in the related art, MIMO antenna parameters configured for a cell generally consider only a planar coverage case, and do not consider a deep coverage case (i.e., a three-dimensional coverage case) for an indoor scene such as a high-rise building, which may result in lower effective coverage of the cell.

Based on this, in various embodiments of the present application, according to engineering parameters of a network device, MDT data associated with the network device, and digital map data associated with the network device, N first beams, M second beams, antenna parameters of each first beam, and antenna parameters of each second beam (N and M are integers greater than 0) corresponding to a first cell corresponding to the network device are determined, the first parameters of the first beams are greater than the first parameters of the second beams, and the first parameters characterize coverage of the beams; because the first parameters are determined according to engineering parameters of the network equipment, MDT data associated with the network equipment and digital map data associated with the network equipment, the first parameters can reflect the depth coverage (i.e., three-dimensional coverage) of the beams, so that the three-dimensional coverage conditions (such as coverage conditions for indoor scenes such as high-rise buildings) of the cells can be ensured through the N first beams, and the plane coverage conditions of the cells can be ensured through the M second beams, thereby improving the effective coverage rate of the cells.

The embodiment of the application provides a method for determining parameters of MIMO antennas, which is applied to electronic equipment (such as a server and the like), as shown in FIG. 1, and comprises the following steps:

step 101: acquiring first information, second information and third information;

here, the first information includes engineering parameters of the network device; the second information comprises MDT data associated with the network equipment; the third information comprises digital map data associated with the network device;

step 102: according to the first information, the second information and the third information, N first beams, M second beams and antenna parameters of each beam corresponding to a first cell corresponding to the network equipment are determined;

wherein N and M are integers greater than 0; the first parameter of the first beam is greater than the first parameter of the second beam; the first parameter characterizes the coverage area of the beam; the first parameter is determined from the first information, the second information, and the third information.

In practical application, the first parameter is determined according to the first information, the second information and the third information, so that the first parameter can reflect the three-dimensional coverage of the beam; the three-dimensional coverage can also be understood as depth coverage, stereoscopic coverage, etc., such as coverage for indoor scenes such as high-rise buildings. The embodiment of the application does not limit the specific type of the beam coverage of the first parameter characterization, so long as the function is realized.

In practical application, the first beam may also be referred to as a capacity layer beam, a capacity boosting beam, etc., and the name of the first beam is not limited in the embodiment of the present application, so long as the function thereof is implemented.

In practical application, the second beam may also be called a base coverage layer beam, etc., and the name of the second beam is not limited in the embodiment of the present application, so long as the function thereof is implemented.

In practical application, the values of N and M may be set according to requirements, for example, N is greater than or equal to M in a case of more high-rise buildings, N is less than or equal to M in a case of less high-rise buildings, and the like. Illustratively, assuming that the total number of sub-beams corresponding to the first cell is 8, N may be less than or equal to 4, then M is equal to 8 minus N.

In practical application, the network device may include a base station, etc., and may be specifically set according to requirements, where the type of the network device is not limited in the embodiment of the present application.

In practical application, the engineering parameters of the network device may include longitude and latitude coordinates, altitude, mechanical azimuth angle of the corresponding cell, mechanical downtilt angle of the corresponding cell, number of antennas, and the like, which may be specifically set according to requirements.

In practical application, the MDT data associated with the network device may include MDT data collected by the network device from the terminal, and/or MDT data collected by other network devices associated with the network device from the terminal, which may be specifically set according to requirements, and the content of the second information is not limited in the embodiment of the present application. Here, the terminal may also be referred to as a User Equipment (UE), and may also be referred to as a User. In addition, the association manner between the network device and the other network devices may be set according to requirements, for example, the network device and the other network devices are located in the same geographic area, which is not limited in the embodiment of the present application.

In practical application, the digital map data associated with the network device may include digital map data of a geographical area where the network device is located, and/or digital map data of a geographical area where other network devices associated with the network device are located, where the digital map data may include geographical information such as buildings, streets, lakes, forests, and corresponding coordinate information, and the like, and may be specifically set according to requirements.

In step 101, during actual application, the electronic device may obtain the first information, the second information, and the third information from a local or other electronic device (such as the network device or other network devices associated with the network device), where a specific manner in which the electronic device obtains the information may be set according to needs, which is not limited by the embodiment of the present application.

In step 102, in actual application, a plurality of candidate beams and first parameters of each candidate beam may be determined first, then N first beams are determined from the plurality of candidate beams according to the first parameters of each candidate beam, and M second beams are determined based on the determined N first beams.

Based on this, in an embodiment, the determining, according to the first information, the second information, and the third information, N first beams and M second beams corresponding to the first cell may include:

Here, the value of Q may be set according to a requirement (for example, an engineering parameter of the network device), which is not limited in the embodiment of the present application. Illustratively, Q may be equal to 8.

In addition, the determining the M second beams based on the determined N first beams means that after determining the value of N, the value of M may be determined according to m=q-N.

In practical application, the adjustable range of the digital azimuth corresponding to the first cell may be preset according to requirements (such as a base station model), that is, the electronic device may obtain the adjustable range of the digital azimuth corresponding to the first cell locally.

In practical application, the value of P may be determined according to the adjustable range of the digital azimuth corresponding to the first cell. Illustratively, in case the adjustable range of the digital azimuth corresponding to the first cell is [ -47, 47], p may be equal to 95 if the adjustment step size is set to 1.

In practical application, it can be understood that when determining P candidate beams, the digital azimuth angle of each candidate beam can be determined according to the adjustable range of the digital azimuth angle corresponding to the first cell. In addition, it is also necessary to determine the digital downtilt angle of each candidate beam.

Based on this, in an embodiment, the method may further include:

In practical application, the first geographical area associated with the network device may include a geographical area in which the network device is located, and/or a geographical area in which other network devices associated with the network device are located, and may specifically be set according to requirements, and the scope of the first geographical area is not limited by the embodiments of the present application.

In practical application, when the three-dimensional rasterization processing is performed on the first geographical area associated with the network device, the size of each grid may be set according to requirements (such as calculation accuracy and/or load capacity, etc.), which is not limited in the embodiment of the present application. It will be appreciated that the smaller the size of each grid, the higher the computational accuracy, i.e. the higher the effective coverage of the cell, but the greater the demand for load capacity.

In actual application, the first information may include a location of the network device; in other words, determining the location of the network device according to the first information may be understood as directly obtaining the location of the network device from the first information. In addition, in actual application, there may be a difference in coordinate system between the location of the network device included in the first information and the digital map data included in the third information, so when determining the location of the network device, it is necessary to determine whether there is a difference in coordinate system between the location of the network device included in the first information and the digital map data included in the third information; here, the specific manner of determining whether the difference of the coordinate system exists between the location of the network device included in the first information and the digital map data included in the third information may be set according to the requirement, for example, whether the identifiers of the coordinate systems are consistent or not is determined by comparing the identifiers of the coordinate systems, which is not limited in the embodiment of the present application. In the case where it is determined that there is a difference in the coordinate system, the coordinates of the network device included in the first information may be converted into coordinates corresponding to the digital map data.

In practical application, the first geographical area may include a geographical area such as a lake or a forest, where the communication signal cannot be received, so, in order to improve the calculation efficiency, when determining the plurality of grid grids corresponding to the first cell, unnecessary grids, that is, grids corresponding to the geographical area where the communication signal cannot be received, may be screened out.

Based on this, in an embodiment, the determining, according to the obtained location of each grid and the location of the network device, a plurality of grids corresponding to the first cell from the obtained plurality of grids may include:

In practical application, a plurality of grids corresponding to the first cell may be determined based on a positional relationship between each grid and the network device.

Based on this, in an embodiment, the determining, according to the obtained location of each grid and the location of the network device, a plurality of grids corresponding to the first cell from the filtered plurality of grids may include:

Here, the coordinate system of the rasterizing process may be a coordinate system corresponding to the digital map data included in the third information. The angle between the grid and the network device in the first plane and the first direction refers to the angle between the vector from the network device to the grid in the first plane and the first direction.

In practical application, after determining a first angle corresponding to each grid in the multiple grids corresponding to the first cell, a matrix of c×d may be established for the network device, where C represents the number of cells including the first cell corresponding to the network device, D represents the number of grids corresponding to the network device, and data in the matrix may represent an absolute value of an included angle between the first angle and a direction angle of the cell. And removing the minimum value of each column in the matrix according to a preset angle value range (which can be set according to requirements, such as 0 and 180 degrees), and determining the cell to which each grid belongs, namely determining a plurality of grids corresponding to the first cell. When determining the grid corresponding to the network device, determining the distance between each grid in the filtered multiple grids and the network device, and determining the corresponding grid as the grid corresponding to the network device when the distance is smaller than a preset threshold (which can be set according to the requirement specifically, but the embodiment of the application is not limited thereto). Here, the reason for removing the minimum value of each column in the matrix is: and the grid overlapping of the sites (namely network equipment) caused by the too small included angle between the first angle and the direction angle of the cell is avoided, namely the grids corresponding to a plurality of network equipment are screened out, so that the calculation accuracy is improved.

In practical application, the digital downtilt angle of each candidate beam can be determined by using the position of each grid corresponding to the first cell, the position of the network equipment and the first information.

Based on this, in an embodiment, the determining the digital downtilt angle of each candidate beam according to the location of each grid corresponding to the first cell and the location of the network device may include:

determining a second angle corresponding to the grid according to the position of the network equipment and the position of the grid for each grid corresponding to the first cell; determining a minimum second angle corresponding to the first cell according to the second angle corresponding to each grid; the second angle characterizes an included angle between the grid and the network device in a second direction; the second direction is perpendicular to the ground;

Here, the angle between the grid and the network device in the second direction refers to the principal argument of the vector from the network device to the grid.

In practical application, the first information may include a network device distance and a mechanical downtilt angle corresponding to the first cell; in other words, determining the network device spacing and the mechanical downtilt angle corresponding to the first cell according to the first information may be understood as directly acquiring the network device spacing and the mechanical downtilt angle corresponding to the first cell from the first information.

In practical application, the vertical beam bandwidth may be preset according to requirements, and the size of the vertical beam bandwidth is not limited in the embodiment of the present application.

In practical application, the specific relationship between the third parameter and the vertical bandwidth of the beam may be set according to requirements, which is not limited in the embodiment of the present application. The third parameter may be equal to half the vertical beamwidth of the beam, for example.

In practical application, the fourth condition may be specifically set according to requirements, which is not limited in the embodiment of the present application. Illustratively, the fourth condition may include: and the sum of the digital downtilt angle and the mechanical downtilt angle corresponding to the first cell is larger than or equal to the minimum second angle.

In practical application, the fifth condition may be specifically set according to requirements, which is not limited in the embodiment of the present application. Illustratively, to avoid the handoff coverage, the fifth condition may include: the fourth parameter is less than 1.5 times the fifth parameter.

In practical application, after determining the digital downtilt angle of each candidate beam, the first parameter of each candidate beam may be determined according to the position of each grid corresponding to the first cell, the position of the network device, and the second information.

Based on this, in an embodiment, the determining the first parameter of each candidate beam according to the first information, the second information, and the third information may include:

In practical application, the first angle and the second angle corresponding to each grid can be utilized to determine a plurality of grids which can be covered by each candidate beam.

Based on this, in an embodiment, the determining, according to the location of each grid corresponding to the first cell and the location of the network device, a plurality of grids that each candidate beam can cover may include:

for each candidate beam, determining the grid as a grid which can be covered by the candidate beam when the first angle corresponding to the grid meets a second condition and the second angle corresponding to the grid meets a third condition; the second condition represents the relation among the first angle corresponding to the grid, the digital azimuth angle of the candidate beam and the second parameter; the second parameter is determined according to a preset beam horizontal wave width; the third condition characterizes a relationship between a second angle corresponding to the grid, a digital downtilt angle of the candidate beam, and a third parameter.

In practical application, the beam horizontal bandwidth may be preset according to requirements, and the size of the beam horizontal bandwidth is not limited in the embodiment of the present application.

In practical application, the specific relationship between the second parameter and the beam horizontal bandwidth may be set according to requirements, which is not limited in the embodiment of the present application. The second parameter may be equal to half the beam horizontal bandwidth, for example.

In practical application, the second condition may be specifically set according to requirements, which is not limited in the embodiment of the present application. Illustratively, the second condition may include: the first angle corresponding to the grid is larger than or equal to the difference between the digital azimuth angle of the candidate beam and the second parameter, and smaller than or equal to the sum of the digital azimuth angle of the candidate beam and the second parameter.

In practical application, the third condition may be specifically set according to the requirement, which is not limited in the embodiment of the present application. Illustratively, the third condition may include: the second angle corresponding to the grid is larger than or equal to the difference between the digital downtilt angle of the candidate beam and the third parameter, and smaller than or equal to the sum of the digital downtilt angle of the candidate beam and the third parameter.

In practical application, the accuracy of the height field in the MDT data is limited, so that the three-dimensional coverage condition of a cell can be effectively guaranteed, and the height field in the MDT data can be ignored, namely all MDT data are regarded as MDT data generated by ground users. In other words, for each grid on the ground, the flow number corresponding to the respective grid determined using the MDT data is actually the total flow number corresponding to the respective grid and the plurality of grids corresponding thereto in the vertical direction; at this time, the average number of traffic between the respective grids and the grids corresponding thereto in the vertical direction may be determined, so that the first parameter of each candidate beam may be determined using the average number of traffic corresponding to each of the grids that each candidate beam can cover.

Based on this, in an embodiment, the determining the first parameter of each candidate beam according to the second information and the plurality of grids that each candidate beam can cover may include:

In practical application, the sixth condition may be set according to requirements, for example, the height is 0; the embodiment of the present application is not limited thereto.

In practical application, the determining the first parameter of each candidate beam by using the seventh parameter corresponding to each grid in the multiple grids that each candidate beam can cover may include:

and adding the seventh parameters corresponding to each grid in the multiple grids which can be covered by the corresponding candidate beam aiming at each candidate beam to obtain the first parameters of the corresponding candidate beam.

In practical application, after determining the first parameter of each candidate beam, N first beams may be determined from the P candidate beams according to the first parameter of each candidate beam.

Specifically, in an embodiment, the determining N first beams from the P candidate beams according to the first parameter of each candidate beam may include:

according to the sorting result, N first beams are determined from the P candidate beams; and the difference of the digital azimuth angles of any two first beams in the determined N first beams is larger than or equal to the second parameter.

Here, the difference between the digital azimuth angles of any two first beams is greater than or equal to the second parameter, and overlapping coverage can be avoided.

In practical application, when the P candidate beams are ranked, the P candidate beams may be ranked from large to small according to the first parameter, so as to obtain a ranking result. When determining N first beams from the P candidate beams according to the sorting result, the N candidate beams may be selected as the first beams from the candidate beams corresponding to the largest first parameter, that is, the N candidate beams are selected as the first beams from the first candidate beam in the sorting result, and it is ensured that the difference between the digital azimuth angles of any two first beams in the N first beams is greater than or equal to the second parameter. Or when the P candidate beams are ranked, the P candidate beams may be ranked from small to large according to the first parameter, so as to obtain a ranking result. When determining N first beams from the P candidate beams according to the sorting result, N candidate beams may be selected as first beams from the candidate beam corresponding to the largest first parameter, that is, N candidate beams are selected as first beams from the last candidate beam in the sorting result, and a difference between digital azimuth angles of any two first beams in the N first beams is ensured to be greater than or equal to the second parameter.

In step 102, in practical application, determining the antenna parameter of each beam refers to determining the antenna parameter of each first beam and the antenna parameter of each second beam. When determining N first beams from the P candidate beams according to the sorting result, the digital azimuth angle of the selected candidate beam may be determined as the digital azimuth angle of the first beam, and the digital downtilt angle of the selected candidate beam may be determined as the digital downtilt angle of the first beam.

Based on this, in an embodiment, the determining the antenna parameter of each beam may include:

In practical application, after determining the M second beams, the digital downtilt angle and the digital azimuth angle of each second beam may be determined according to the position of each grid corresponding to the first cell and the position of the network device.

Specifically, in an embodiment, the determining, according to the location of each grid corresponding to the first cell and the location of the network device, the digital downtilt angle of each second beam may include:

In practice, the digital downtilt angle of each second beam may be the same. In order to not cover the building as much as possible while the digital downtilt of each candidate beam is determined, the digital downtilt of each candidate beam may be determined before the digital downtilt of each candidate beam is determined, and the digital downtilt of each candidate beam is determined in combination with the digital downtilt of the candidate beam, the fourth condition and the fifth condition. Illustratively, the digital downtilt angle of each candidate beam may be the same, and may be preset as the difference between the digital downtilt angle of the second beam and the vertical beamwidth of the beam; and (3) reducing the preset digital downtilt angle of the candidate beam with the step length of 1 until the digital downtilt angle of the candidate beam meets the fourth condition and the fifth condition.

In practical application, the determining the digital azimuth angle of each second beam according to the position of each grid corresponding to the first cell and the position of the network device may include:

according to the first angle corresponding to each grid, determining the total wave width of the M second wave beams in the horizontal direction;

determining the horizontal bandwidth of each second beam according to the determined total beam bandwidth and the value of M;

and determining the digital azimuth angle of each second beam according to the determined horizontal wave width of each second beam.

Specifically, according to the first angle corresponding to each grid, a maximum first angle and a minimum first angle can be determined; subtracting the minimum first angle from the maximum first angle to obtain the total wave widths of the M second wave beams in the horizontal direction; dividing the determined total wave width of the wave beams by M to obtain the horizontal wave width of each second wave beam; for each second beam, multiplying the determined horizontal bandwidth by the beam serial number (i.e., index) of the corresponding second beam in the M second beams, so as to obtain the physical azimuth angle (i.e., mechanical azimuth angle) of the corresponding second beam, thereby obtaining the digital azimuth angle of each second beam through conversion of the mechanical azimuth angle and the digital azimuth angle (the specific conversion mode can be set according to the requirement (such as the model of the base station). By way of example, assuming that the value of M is 5 and the determined total beam width is 90 °, the horizontal beam width of each second beam may be determined to be 18 °, 36 °, 54 °, 72 ° and 90 ° in order of the physical direction angles of the 5 second beams.

In practical application, in order to improve the calculation efficiency, the total beam bandwidth (for example, 90 °) of the M second beams in the horizontal direction may also be preset.

In practical application, the difference of the digital azimuth angles of any two beams (i.e., any two beams in the determined Q beams) in the N first beams and the M second beams may be greater than or equal to the second parameter, so as to avoid overlapping coverage and further improve the effective coverage of the cell.

In various embodiments of the present application, determining, according to the first information, the second information, and the third information, the N first beams, the M second beams, and the antenna parameters of each beam corresponding to the first cell refers to: determining N first beams, M second beams, antenna parameters of each first beam and antenna parameters of each second beam corresponding to the first cell at least according to the first information, the second information and the third information; in other words, in determining the N first beams, the M second beams, and the antenna parameters of each beam corresponding to the first cell, other information, such as a preset beam horizontal bandwidth and a beam vertical bandwidth, a preset angle value range, a preset threshold, a first condition, a second condition, a third condition, a fourth condition, a fifth condition, a sixth condition, an adjustable range of a digital azimuth angle, and the like, is used in addition to the first information, the second information, and the third information.

In practical application, after determining the antenna parameter of each first beam and the antenna parameter of each second beam, the electronic device may send the antenna parameter of each first beam and the antenna parameter of each second beam to the network device, so that the network device configures the sub-beam configuration of the first cell according to the antenna parameter of each first beam and the antenna parameter of each second beam.

The MIMO antenna parameter determining method provided by the embodiment of the application obtains the first information, the second information and the third information; the first information comprises engineering parameters of network equipment; the second information comprises MDT data associated with the network equipment; the third information comprises digital map data associated with the network device; according to the first information, the second information and the third information, N first beams, M second beams and antenna parameters of each beam corresponding to a first cell corresponding to the network equipment are determined; wherein N and M are integers greater than 0; the first parameter of the first beam is greater than the first parameter of the second beam; the first parameter characterizes the coverage area of the beam; the first parameter is determined from the first information, the second information, and the third information. According to the scheme provided by the embodiment of the application, N first beams, M second beams, antenna parameters of each first beam and antenna parameters of each second beam corresponding to a first cell corresponding to network equipment are determined according to engineering parameters of the network equipment, MDT data associated with the network equipment and digital map data associated with the network equipment, wherein the first parameters of the first beams are larger than the first parameters of the second beams, and the first parameters characterize the coverage range of the beams; because the first parameters are determined according to engineering parameters of the network equipment, MDT data associated with the network equipment and digital map data associated with the network equipment, the first parameters can reflect the depth coverage (i.e., three-dimensional coverage) of the beams, so that the three-dimensional coverage conditions (such as coverage conditions for indoor scenes such as high-rise buildings) of the cells can be ensured through the N first beams, and the plane coverage conditions of the cells can be ensured through the M second beams, thereby improving the effective coverage rate of the cells.

The present application will be described in further detail with reference to examples of application.

The present application embodiment provides a Massive MIMO antenna parameter optimization system, which collects engineering parameter data (i.e., the first information), MDT data (i.e., the second information), and digital map data (i.e., the third information), and performs MIMO parameter optimization for each cell (which may include the first cell) of each base station in an area to be optimized (which may include the first geographical area) by using the collected data and rules preset based on expert experience (such as the value of M/N/Q, a preset beam horizontal bandwidth and beam vertical bandwidth, a preset angle value range, a preset threshold, a first condition, a second condition, a third condition, a fourth condition, a fifth condition, a sixth condition, an adjustable range of a digital azimuth angle, etc.).

Specifically, as shown in fig. 2, the Massive MIMO antenna parameter optimizing system includes a data acquisition device, a sub-beam optimizing device, and a configuration generating device. The data acquisition device is used for automatically acquiring engineering parameter data, MDT data and digital map data. The sub-beam optimizing device is used for dividing 8 sub-beams (namely, Q takes 8) of the cell into M basic coverage layer beams (namely, the second beam) and N capacity layer beams (namely, the first beam) according to engineering parameter data, MDT data and digital map data, and combining rules preset based on expert experience to obtain the horizontal wave width, the vertical wave width, the digital downtilt angle and the digital azimuth angle of each sub-beam. The configuration generating device is used for outputting 8 sub-beam configurations of each cell of the area to be optimized, and issuing and verifying the effective coverage rate of the cells to the current network equipment.

The following describes the optimization procedure of the Massive MIMO antenna parameters in detail with reference to fig. 3.

First, as shown in fig. 3, data needs to be read from a database and data preprocessing is performed.

Here, the data preprocessing includes city rasterizing processing and MDT data stuffing processing.

When city rasterization processing is performed, longitude and latitude of the WGS84 spatial reference system (i.e., the position of the base station in the engineering parameter data) can be converted into coordinates in meters in the CGCS2000 spatial reference system (i.e., the coordinate system corresponding to the digital map data). And then determining the maximum value and the minimum value of the three-dimensional dimensions x, y and z of the region to be optimized respectively, determining a rectangular region of the region to be optimized on the ground according to the two points of (x minimum value, y minimum value) and (x maximum value, y maximum value), and establishing a three-dimensional rectangular coordinate system by taking the (x minimum value, y minimum value, z minimum value) as an origin, the positive east direction as the positive x-axis direction, the positive north direction as the positive y-axis direction, and the vertical upward direction (i.e. the upward direction perpendicular to the ground) as the positive z-axis direction.

After the three-dimensional rectangular coordinate system is established, the area to be optimized is divided into a plurality of grids with the length of a, the width of b and the height of c (the values of a, b and c can be set according to the requirements), and the embodiment of the application is not limited to the above. The number of the grid is from the origin (x ₀ ，y ₀ ，z ₀ ) Starting to increment at 0, for any geographic location (x ₁ ，y ₁ ，z ₁ ) The position of the grid (L _x ，L _y ，L _z ) Can be equal toIn addition, according to the length, width and height of the area to be optimized, the maximum grid number x of each direction can be calculated _num 、y _num 、z _num And the number grid_id of the grid can be calculated by using the position of the grid by the following formula:

grid_id＝(L _x +L _y *x _num +L _z *x _num *y _num ) (1)

thereafter, the unnecessary grids (i.e., the grids that do not satisfy the first condition) may be screened out according to the city border map and the building map (i.e., the third information).

The process of performing the MDT data stuffing process may include the steps of:

step 1: and screening the MDT data, only reserving valid data with no null value in three fields of longitude, latitude and throughput, and then executing the step 2.

Here, the longitude and latitude of the WGS84 spatial reference system (i.e., coordinates in MDT data) need to be converted to coordinates in meters under the CGCS2000 spatial reference system. Since the height field error in the MDT data may be large, the height field needs to be ignored, and all MDT data is regarded as MDT data generated by a ground user and processed in a subsequent step. (x) for each piece of MDT data ₁ ，y ₁ 0) calculates a grid number grid_id.

Step 2: the number of users and the flow rate (i.e., the sixth parameter) of each grid (i.e., the grid having the height satisfying the sixth condition) are counted at the granularity of hours, and then step 3 is performed.

Here, the aggregation processing may be performed on the MDT data according to different requirements (such as use of the MDT data, etc.). The number of users is the number of effective MDT data in the grid; the traffic number is the sum of the upstream traffic in all MDT data in the grid.

Step 3: using a corresponding (x) of each grid ₁ ，y ₁ 0) determining the position of the grid, matching the ground grid with the building grid directly above it, and distributing the flow of the ground grid equally to the building grid above it (i.e. determining the seventh parameter corresponding to each grid as described above).

Second, as shown in fig. 3, the grid needs to be matched to the base station and cell.

In particular, the matching of the grid to the base station may be determined according to the euclidean distance between the grid and the base station. In practical application, a matrix A which represents the distance from the base station to each grid is established, wherein A represents the number of the base stations and B represents the number of the grids; and taking out the minimum value in each column to be the base station closest to the grid, namely the base station matched with the grid.

When the grid is matched with the cells, each cell faces different directions because each base station corresponds to a plurality of cells, and therefore, the cells can be allocated to the grid according to the included angle phi (namely the first angle) between the grid and the base station in the horizontal plane (namely the first plane) and the north direction (namely the first direction). Here, it is necessary to determine the base station position (x 0, y 0) and the grid position (x 1, y 1), and determine the base station-to-grid vector (x 1-x0, y1-y 0) from the base station position and the grid position, and calculate the principal argument θ of the vector (see formula 6). Since the θ value is an angle rotated counterclockwise in the positive x-axis direction, and the direction angle in the engineering parameter is an angle rotated clockwise in the positive y-axis direction, the angle conversion is required according to the following formula:

φ＝(90°-θ)mod360° (2)

Because the range of the direction angle in the engineering parameters is [0, 360 degrees ], the calculation result needs to be subjected to surplus operation so as to ensure that the range of the included angle phi between the grid and the base station is also [0, 360 degrees). At the same time, phi needs to be stored for subsequent calculations.

In practical application, a matrix of c×d can be established for each base station in the area to be optimized, C represents the number of cells corresponding to the base station, D represents the number of grids of the base station (i.e. the number of grids matched by the base station), and data in the matrix represents the absolute value of the included angle between phi and the direction angle of the cells, and the value range is [0, 180 °); and removing the minimum value of each column in the matrix to obtain the cell to which each grid belongs.

Third, as shown in FIG. 3, the digital downtilt of the base coverage beam needs to be determined.

Specifically, for each grid (x _i ，y _i ，z _i ) It is calculated from the following formula with the belonging base station (x ₀ ，y ₀ ，z ₀ ) Distance d in horizontal direction _i ：

Di for each grid is stored for subsequent calculations.

The total downtilt Tilt of the base coverage beam is calculated using the following formula, and it is guaranteed that the furthest grid can be covered by 3dB on the beam:

wherein max (d _i ) Representation taking d _i Is the maximum value of (2); v3dB represents the preset vertical bandwidth of the sub-beam I.e. the third parameter described above). And then determining the digital downtilt Digi_tiltM of the basic covering layer beam according to the mechanical downtilt Mech_tilt in the engineering parameter data:

Digi_tiltM＝Tilt-Mech_tilt (5)

fourth, as shown in fig. 3, it is necessary to determine the digital downtilt angle of the capacity layer beam.

In particular, in order not to cover the building as much as possible while not to cover it, the digital downtilt angle digi_tiltn=digi_tilm-V3 dB of the capacity layer beam can be preset; and each grid (x) is calculated by the following formula _i ，y _i ，z _i ) And the base station (x) ₀ ，y ₀ ，z ₀ ) Included angle θ in the vertical direction (i.e., the second direction) _i (i.e., the second angle described above):

where i represents the number of the grid (i.e., grid_id). Here, θ for each grid is required _i A store is made for subsequent calculations.

The digi_tiltn is scaled down by a step size of 1 until the coverage distance (i.e., the fourth parameter, calculated by the formula (8)) of the capacity layer beam is smaller than 1.5 times the inter-station distance (i.e., the distance is smaller than 1.5 times the inter-station distance, i.e., the fifth condition, and the inter-station distance is 1.5 times the fifth parameter) while the inequality (7) is satisfied (i.e., the fourth condition):

Digi_tiltN+Mech_tilt≥min(θ _i ) (7)

wherein min (θ _i ) Represents θ _i I.e. the above-mentioned minimum second angle).

Fifth, as shown in fig. 3, it is necessary to determine the digital azimuth angle of the capacity layer beam.

Here, it is necessary to traverse all possible digital azimuth angles of the capacity layer beam, sort the digital azimuth angles, and then determine the digital azimuth angle of the capacity layer beam.

Specifically, the adjustable range of the digital Azimuth angles digi_azimuth of the capacity layer beams can be preset to be [ -47, 47], the adjustment step length is set to be 1, 95 possible digital Azimuth angles are traversed, and in combination with the MDT data, the flow number (i.e. the first parameter) corresponding to the grids that can be covered by the sub-beams in each configuration mode is determined.

The position relation (phi) between each grid and the cell to which each grid belongs is calculated in the process _i ，θ _i ) (i.e., the first angle and the second angle described above), in combination with digi_tiltn and hypothetical digi_azimuth, can determine the grid that the sub-beams can cover in each configuration. Where inequalities 9 (i.e., the second condition described above) and 10 (i.e., the third condition described above) are both true, then it may be determined that the corresponding grid is covered by the sub-beam:

wherein H3dB represents a preset beam horizontal wave width [ ]I.e. the second parameter described above).

After determining the grids that can be covered by the sub-beam in each configuration mode, summing the flows (i.e., the seventh parameter) in the grids, so as to determine the flow number (i.e., the first parameter) corresponding to the grids that can be covered by the sub-beam in each configuration mode.

After determining the number of flows corresponding to the grids that each of the 95 configurations can cover, the configurations can be ordered according to the number of flows, if the number of flows corresponding to a certain configuration is 0, the configuration is considered not to cover the user, and the possibility is eliminated. For the sorting result, N digi_azimuths may be sequentially selected from digi_azimuths corresponding to the maximum traffic number, as digital Azimuth angles of N capacity layer beams, N is an integer greater than 0, and N may be less than or equal to 4.

Here, it should be noted that, to avoid overlapping coverage, the difference between digi_azimuth of any two capacity layer beams should be greater than or equal to

Finally, as shown in FIG. 3, the digital azimuth of the base coverage beam needs to be determined.

Specifically, the coverage area of the base coverage beam may be preset to be 90 ° (i.e., the total bandwidth of the M base coverage beams is 90 °), and M digital azimuth angles may be obtained according to the coverage area and the value of M (i.e., 8-N).

In practical application, in the process of determining the digital azimuth angle of the base coverage layer beam, the horizontal bandwidth of the base coverage layer beam can be adjusted according to deployment requirements, and the coverage area of the beam needs to be ensured to be about 90 degrees.

The scheme provided by the embodiment of the application has the following advantages:

1) The base coverage layer wave beam is utilized, so that the plane coverage condition of the cell can be effectively ensured, the continuity of wave beam coverage is improved, coverage holes are avoided, and the effective coverage rate of plane coverage can be improved.

2) By utilizing the capacity layer wave beam, the three-dimensional coverage condition of the cell can be effectively ensured, namely, the high-rise space such as a building is accurately covered on the basis of ensuring plane coverage, so that the user experience under indoor scenes such as the high-rise building is obviously improved, and the effective coverage rate of deep coverage (namely three-dimensional coverage) is improved.

3) The configuration of the sub-beams is more flexible, the scene limit of the synthesized beams in the related technology is broken, and the horizontal wave width, the vertical wave width, the digital azimuth angle and the digital downtilt angle of the beams can be flexibly configured according to requirements.

4) And optimizing the parameters of the Massive MIMO antenna by using engineering parameter data, MDT data and digital map data, and having lower requirements on the number of data sources, thereby improving the optimizing efficiency.

In order to implement the method of the embodiment of the present application, the embodiment of the present application further provides a MIMO antenna parameter determining apparatus, as shown in fig. 4, where the apparatus includes:

An acquisition unit 401 for acquiring first information, second information, and third information; the first information comprises engineering parameters of network equipment; the second information comprises MDT data associated with the network equipment; the third information comprises digital map data associated with the network device;

a processing unit 402, configured to determine N first beams, M second beams, and antenna parameters of each beam corresponding to a first cell corresponding to the network device according to the first information, the second information, and the third information; wherein N and M are integers greater than 0; the first parameter of the first beam is greater than the first parameter of the second beam; the first parameter characterizes the coverage area of the beam; the first parameter is determined from the first information, the second information, and the third information.

Wherein, in an embodiment, the processing unit 402 is specifically configured to:

In an embodiment, the processing unit 402 is further configured to:

In an embodiment, the processing unit 402 is further configured to determine a digital downtilt angle of each candidate beam according to a location of each grid corresponding to the first cell and a location of the network device.

In an embodiment, the processing unit 402 is further configured to:

In an embodiment, the processing unit 402 is further configured to determine, for each first beam, a digital azimuth angle of the corresponding candidate beam as the digital azimuth angle of the first beam, and determine a digital downtilt angle of the corresponding candidate beam as the digital downtilt angle of the first beam; the digital downtilt angle of the candidate beam is determined according to the position of each grid corresponding to the first cell and the position of the network equipment.

In an embodiment, the processing unit 402 is further configured to determine a digital downtilt angle and a digital azimuth angle of each second beam according to a location of each grid corresponding to the first cell and a location of the network device.

In an embodiment, the processing unit 402 is further configured to:

Here, the acquiring unit 401 may acquire the first information, the second information, and the third information from the data acquisition device in the application embodiment of the present application; the function of the processing unit 402 corresponds to the function of the sub-beam optimizing device in the application embodiment of the present application.

In practical application, the obtaining unit 401 may be implemented by a processor in the MIMO antenna parameter determining apparatus in combination with a communication interface; the processing unit 402 may be implemented by a processor in a MIMO antenna parameter determining apparatus.

It should be noted that: the MIMO antenna parameter determining apparatus provided in the above embodiment only illustrates the division of each program module when determining the MIMO antenna parameter, and in practical application, the above processing allocation may be performed by different program modules according to needs, i.e. the internal structure of the apparatus is divided into different program modules to complete all or part of the above processing. In addition, the MIMO antenna parameter determining apparatus provided in the foregoing embodiments and the MIMO antenna parameter determining method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment and are not described herein again.

Based on the hardware implementation of the program modules, and in order to implement the method according to the embodiment of the present application, an electronic device is further provided according to the embodiment of the present application, as shown in fig. 5, the electronic device 500 includes:

A communication interface 501 capable of information interaction with other electronic devices;

a processor 502, connected to the communication interface 501, for implementing information interaction with other electronic devices, and configured to execute the methods provided by one or more of the above technical solutions when running a computer program;

memory 503 stores a computer program capable of running on the processor 502.

Specifically, the processor 502 is configured to:

acquiring first information, second information and third information through the communication interface 501; the first information comprises engineering parameters of network equipment; the second information comprises MDT data associated with the network equipment; the third information comprises digital map data associated with the network device;

Wherein, in an embodiment, the processor 502 is further configured to:

In an embodiment, the processor 502 is further configured to:

In an embodiment, the processor 502 is further configured to determine a digital downtilt angle of each candidate beam according to a location of each grid corresponding to the first cell and a location of the network device.

In an embodiment, the processor 502 is further configured to:

In an embodiment, the processor 502 is further configured to determine, for each first beam, a digital azimuth of the corresponding candidate beam as a digital azimuth of the first beam, and determine a digital downtilt of the corresponding candidate beam as a digital downtilt of the first beam; the digital downtilt angle of the candidate beam is determined according to the position of each grid corresponding to the first cell and the position of the network equipment.

In an embodiment, the processor 502 is further configured to determine a digital downtilt angle and a digital azimuth angle of each second beam according to a location of each grid corresponding to the first cell and a location of the network device.

In an embodiment, the processor 502 is further configured to:

It should be noted that: the specific processing procedure of the processor 502 may be understood by referring to the above method, and will not be described herein.

Of course, in actual practice, the various components in electronic device 500 are coupled together via bus system 504. It is to be appreciated that bus system 504 is employed to enable connected communications between these components. The bus system 504 includes a power bus, a control bus, and a status signal bus in addition to the data bus. But for clarity of illustration, the various buses are labeled as bus system 504 in fig. 5.

The memory 503 in embodiments of the present application is used to store various types of data to support the operation of the electronic device 500. Examples of such data include: any computer program for operating on the electronic device 500.

The method disclosed in the above embodiment of the present application may be applied to the processor 502 or implemented by the processor 502. The processor 502 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the methods described above may be performed by integrated logic circuitry in hardware or instructions in software in the processor 502. The processor 502 may be a general purpose processor, a digital signal processor (DSP, digital Signal Processor), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor 502 may implement or perform the methods, steps and logic blocks disclosed in embodiments of the present application. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiment of the application can be directly embodied in the hardware of the decoding processor or can be implemented by combining hardware and software modules in the decoding processor. The software modules may be located in a storage medium in a memory 503 and the processor 502 reads information in the memory 503 to perform the steps of the method described above in connection with its hardware.

In an exemplary embodiment, the electronic device 500 may be implemented by one or more application specific integrated circuits (ASIC, application Specific Integrated Circuit), DSPs, programmable logic devices (PLD, programmable Logic Device), complex programmable logic devices (CPLD, complex Programmable Logic Device), field-programmable gate arrays (FPGA, field-Programmable Gate Array), general purpose processors, controllers, microcontrollers (MCU, micro Controller Unit), microprocessors (Microprocessor), or other electronic components for performing the aforementioned methods.

It will be appreciated that the memory 503 of embodiments of the present application may be either volatile memory or nonvolatile memory, and may include both volatile and nonvolatile memory. Wherein the nonvolatile Memory may be Read Only Memory (ROM), programmable Read Only Memory (PROM, programmable Read-Only Memory), erasable programmable Read Only Memory (EPROM, erasable Programmable Read-Only Memory), electrically erasable programmable Read Only Memory (EEPROM, electrically Erasable Programmable Read-Only Memory), magnetic random access Memory (FRAM, ferromagnetic random access Memory), flash Memory (Flash Memory), magnetic surface Memory, optical disk, or compact disk Read Only Memory (CD-ROM, compact Disc Read-Only Memory); the magnetic surface memory may be a disk memory or a tape memory. The volatile memory may be random access memory (RAM, random Access Memory), which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (SRAM, static Random Access Memory), synchronous static random access memory (SSRAM, synchronous Static Random Access Memory), dynamic random access memory (DRAM, dynamic Random Access Memory), synchronous dynamic random access memory (SDRAM, synchronous Dynamic Random Access Memory), double data rate synchronous dynamic random access memory (ddr SDRAM, double Data Rate Synchronous Dynamic Random Access Memory), enhanced synchronous dynamic random access memory (ESDRAM, enhanced Synchronous Dynamic Random Access Memory), synchronous link dynamic random access memory (SLDRAM, syncLink Dynamic Random Access Memory), direct memory bus random access memory (DRRAM, direct Rambus Random Access Memory). The memory described by embodiments of the present application is intended to comprise, without being limited to, these and any other suitable types of memory.

In an exemplary embodiment, the present application also provides a storage medium, i.e. a computer storage medium, in particular a computer readable storage medium, for example comprising a memory 503 storing a computer program executable by the processor 502 of the electronic device 500 for performing the steps of the method described above. The computer readable storage medium may be FRAM, ROM, PROM, EPROM, EEPROM, flash Memory, magnetic surface Memory, optical disk, or CD-ROM.

It should be noted that: "first," "second," etc. are used to distinguish similar objects and not necessarily to describe a particular order or sequence.

In addition, the embodiments of the present application may be arbitrarily combined without any collision.

The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the present application.

Claims

1. A method for determining parameters of a MIMO antenna, comprising:

acquiring first information, second information and third information; the first information comprises engineering parameters of network equipment; the second information comprises the MDT data associated with the network equipment; the third information comprises digital map data associated with the network device;

2. The method of claim 1, wherein the determining N first beams and M second beams corresponding to the first cell according to the first information, the second information, and the third information comprises:

3. The method of claim 2, wherein determining the first parameter for each candidate beam based on the first information, the second information, and the third information comprises:

4. The method of claim 3, wherein the determining the plurality of grids corresponding to the first cell from the plurality of grids based on the obtained location of each grid and the location of the network device comprises:

5. The method of claim 4, wherein the determining the plurality of grids corresponding to the first cell from the filtered plurality of grids according to the obtained location of each grid and the location of the network device comprises:

6. A method according to claim 3, wherein said determining a plurality of grids that each candidate beam can cover based on the location of each grid corresponding to the first cell and the location of the network device comprises:

7. The method of claim 6, wherein the method further comprises:

8. The method of claim 7, wherein said determining a digital downtilt for each candidate beam based on the location of each grid corresponding to the first cell and the location of the network device comprises:

9. A method according to claim 3, wherein said determining the first parameter of each candidate beam from the second information and the plurality of grids each candidate beam can cover comprises:

10. The method of claim 2, wherein said determining N first beams from said P candidate beams based on the first parameter of each candidate beam comprises:

11. The method according to any one of claims 3 to 9, wherein said determining the antenna parameters for each beam comprises:

12. The method according to any one of claims 3 to 9, wherein said determining the antenna parameters for each beam comprises:

13. The method of claim 12, wherein said determining a digital downtilt of each second beam based on the location of each grid corresponding to the first cell and the location of the network device comprises:

14. A MIMO antenna parameter determining apparatus, comprising:

15. An electronic device, comprising: a communication interface and a processor; wherein,

16. An electronic device, comprising: a processor and a memory for storing a computer program capable of running on the processor,

wherein the processor is adapted to perform the steps of the method of any of claims 1 to 13 when the computer program is run.

17. A storage medium having stored thereon a computer program, which when executed by a processor performs the steps of the method according to any of claims 1 to 13.