CN112910514B - Parameter configuration method and device of MIMO (multiple input multiple output) antenna - Google Patents

Parameter configuration method and device of MIMO (multiple input multiple output) antenna Download PDF

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CN112910514B
CN112910514B CN201911227245.7A CN201911227245A CN112910514B CN 112910514 B CN112910514 B CN 112910514B CN 201911227245 A CN201911227245 A CN 201911227245A CN 112910514 B CN112910514 B CN 112910514B
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mimo
grid
grid distribution
alignment direction
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CN112910514A (en
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程日涛
尧文彬
刘咏荷
汪况伦
汤利民
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China Mobile Communications Group Co Ltd
China Mobile Group Design Institute Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Design Institute Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract

The embodiment of the invention provides a parameter configuration method and a device of an MIMO antenna, wherein the method comprises the following steps: determining UE weighted grid distribution corresponding to a target coverage area of the MIMO antenna; determining a MIMO center alignment direction based on the UE weighted grid distribution; configuring parameters of the MIMO antenna according to the UE weighted grid distribution and the MIMO center alignment direction; and the UE weighting grid distribution is used for representing the distribution situation of the busy degree of UE traffic in the target coverage area. According to the invention, MIMO parameters are configured through UE weighted grid distribution, so that accurate hot spot area alignment is realized, the system capacity is improved, and the coverage maximization can be ensured.

Description

Parameter configuration method and device of MIMO (multiple input multiple output) antenna
Technical Field
The present invention relates to the field of mobile communication technologies, and in particular, to a method and an apparatus for configuring parameters of MIMO antennas.
Background
With the continuous and rapid growth of the mobile internet, a mobile communication system is required to support higher high-speed packet data exchange, and in order to improve the capacity and spectrum utilization rate of the communication system by a multiple without increasing the bandwidth, the existing communication network adopts a multiple-input multiple-output (MIMO) technology.
The existing MIMO technical solution adopts parameter configuration of multiple fixed modes, that is, there are several matched fixed downtilt, azimuth, horizontal wave width and vertical wave width parameters, and these different modes are used in different scene types. The existing MIMO antenna parameter configuration mode has the following disadvantages:
1) the MIMO antenna parameter configuration mode of the prior art scheme adopting multiple fixed modes is a rough estimation under the condition of determining a scene, and has difference with the actual user condition, so that the user perception improvement in a hot spot area is small, and the flow increase is suppressed;
2) the prior art scheme adopting multiple fixed modes does not pay attention to the difference of users in service and the like, so that capacity bottlenecks easily occur in areas with high service volume and frequency resources are easily wasted in areas with low service volume;
3) the prior art scheme adopting multiple fixed modes is insensitive to the UE position and service change in the target coverage area, and particularly causes the conditions of poor coverage and limited capacity when the UE position in the target coverage area changes violently and the service generates tide phenomenon.
Disclosure of Invention
In order to overcome the defects caused by the configuration of parameters of the MIMO antenna in multiple fixed modes, embodiments of the present invention provide a method and an apparatus for configuring parameters of the MIMO antenna.
In a first aspect, an embodiment of the present invention provides a method for configuring parameters of MIMO antennas, where the method includes:
determining UE weighted grid distribution corresponding to a target coverage area of the MIMO antenna;
determining a MIMO center alignment direction based on the UE weighted grid distribution;
configuring parameters of the MIMO antenna according to the UE weighted grid distribution and the MIMO center alignment direction;
and the UE weighting grid distribution is used for representing the distribution situation of the busy degree of UE traffic in the target coverage area.
Wherein, the determining the UE weighted grid distribution corresponding to the target coverage area of the MIMO antenna specifically includes:
acquiring base station position information corresponding to a service cell where the MIMO antenna is located, performing grid division on a target coverage area of the MIMO antenna according to the base station position information, and determining the central position of each grid;
acquiring communication parameters of a service cell where the MIMO antenna is located, and determining the number of UE and the weight of the UE of each grid;
determining the UE weighted grid distribution according to the central position of each grid, the UE quantity and the UE weight;
wherein the communication parameters comprise measurement report, MR, data, the UE weights being determined based on the MR data.
Wherein, based on the UE weighted grid distribution, determining a MIMO center alignment direction specifically comprises:
dividing a plurality of unit detection areas in a partially overlapping manner based on the UE weighting grid distribution;
calculating the number of UE corresponding to each unit detection area based on the number of UE of each grid, calculating the total weight of UE corresponding to each unit detection area based on the weight of UE of each grid, and taking the total weight of UE as the score corresponding to each unit detection area;
and determining the MIMO center alignment direction based on the UE number and the score corresponding to each unit detection area.
Determining the MIMO center alignment direction based on the number of the UEs corresponding to each unit detection area and the score, specifically:
taking the central position of the grid with the maximum UE weight in the unit detection area with the highest score as the target alignment position of the MIMO antenna; or,
determining that the scores of two or more unit detection areas are the highest, judging whether the two or more unit detection areas are partially overlapped, if so, taking the central position of the grid with the maximum weight of the UE in the overlapped part as the target alignment position of the MIMO antenna, otherwise, selecting the central position of the grid with the maximum weight of the UE in the unit detection area with the highest score and the maximum number of the UE as the target alignment position of the MIMO antenna;
and determining the MIMO center alignment direction according to the target alignment position.
Configuring parameters of the MIMO antenna according to the UE weighted grid distribution and the MIMO center alignment direction, specifically:
calculating a downtilt angle and an azimuth angle of the MIMO antenna according to the MIMO center alignment direction;
projecting horizontal grid distribution and vertical grid distribution based on the UE weighted grid distribution, determining the horizontal wave width of the MIMO antenna according to the horizontal grid distribution and the MIMO center alignment direction, and determining the vertical wave width of the MIMO antenna according to the vertical grid distribution and the MIMO center alignment direction.
Wherein, calculating the downtilt of the MIMO antenna according to the MIMO center alignment direction specifically comprises:
and calculating the downtilt angle of the MIMO antenna according to the MIMO center alignment direction and the base station position information by adopting the following formula:
Figure BDA0002302576600000031
wherein (x)0,y0,z0) H is the sum of the height of the building where the base station is located and the height of the base station.
Wherein, projecting a horizontal grid distribution and a vertical grid distribution based on the UE weighted grid distribution, determining a horizontal wave width of the MIMO antenna according to the horizontal grid distribution and the MIMO center alignment direction, and determining a vertical wave width of the MIMO antenna according to the vertical grid distribution and the MIMO center-of-gravity alignment direction, specifically:
projecting the UE weight of each grid in the UE weighted grid distribution to a horizontal plane and a vertical plane respectively to obtain a plurality of projection grids, wherein the projection grids comprise a horizontal grid and a vertical grid;
counting the weight sum and the number of the UE in each projection grid, taking the weight sum of the UE as the score of the projection grid, and obtaining projection grid distribution, wherein the projection grid distribution comprises horizontal grid distribution and vertical grid distribution;
based on the horizontal grid distribution, respectively calculating the included angles between the central positions of the horizontal grids in the left side area and the right side area of the MIMO central alignment direction and the MIMO central alignment direction, and based on the vertical grid distribution, respectively calculating the included angles between the central positions of the vertical grids in the upper side area and the lower side area of the MIMO central alignment direction and the MIMO central alignment direction;
accumulating the number and the score of the UE of the projection grid according to the mode that the included angle is from small to large aiming at each area, and obtaining the accumulated number and the score of the UE corresponding to each area;
if the accumulated number of the UE exceeds a preset threshold of the sum of the number of the UE of all the projection grids in the corresponding region and the accumulated score also exceeds a preset threshold of the sum of the scores of all the projection grids in the corresponding region, acquiring a corresponding minimum included angle, and determining the horizontal wave width and the vertical wave width of the MIMO antenna according to the minimum included angle.
Wherein, after configuring the parameters of the MIMO antennas according to the UE weighted grid distribution and the MIMO center alignment direction, the method further comprises:
and if the number of the UE in the target coverage area of the MIMO antenna changes and exceeds a preset threshold value, readjusting the parameters of the MIMO antenna.
In a second aspect, an embodiment of the present invention provides an apparatus for configuring parameters of MIMO antennas, including:
a UE weighted grid distribution determining module, configured to determine UE weighted grid distribution corresponding to a target coverage area of the MIMO antenna;
a MIMO center alignment direction determining module, configured to determine a MIMO center alignment direction based on the UE weighted grid distribution;
a parameter configuration module, configured to configure parameters of the MIMO antennas according to the UE weighted grid distribution and the MIMO center alignment direction;
and the UE weighting grid distribution is used for representing the distribution situation of the busy degree of UE traffic in the target coverage area.
In a third aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the method for configuring parameters of a MIMO antenna as provided in the first aspect when executing the program.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the parameter configuration method for MIMO antennas as provided in the first aspect.
According to the parameter configuration method and device for the MIMO antenna, the UE weighting grid distribution is introduced, the quantity, weight and position of the UE are considered comprehensively, the downward inclination angle and the azimuth angle are optimized and configured by adopting an overlapping division method, the horizontal wave width and the vertical wave width are optimized and configured by adopting a threshold judgment method, more accurate hot spot area alignment and optimal network coverage considering hot spot capacity are realized, the system capacity is improved, and meanwhile, the coverage maximization can be guaranteed.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a method for configuring parameters of MIMO antennas according to an embodiment of the present invention;
fig. 2 is a schematic diagram of detection area division according to an embodiment of the present invention;
fig. 3 is a diagram of a location relationship between a base station and a UE according to an embodiment of the present invention;
FIG. 4 is a diagram of a horizontal projection coordinate system provided by an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a parameter configuration apparatus for MIMO antennas according to an embodiment of the present invention;
fig. 6 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method for optimizing and configuring MIMO parameters based on UE weighted grid distribution, which determines the downward inclination angle and the azimuth angle, the horizontal wave width and the vertical wave width of MIMO through the relation among the weight, the quantity and the position of rasterized UE, realizes more accurate hot spot area alignment and guarantees the maximum coverage of the hot spot area, improves the system capacity and simultaneously guarantees the coverage maximization.
As shown in fig. 1, a schematic flow chart of a method for configuring parameters of MIMO antennas according to an embodiment of the present invention includes:
step 100, determining UE weighted grid distribution corresponding to a target coverage area of an MIMO antenna;
specifically, grid division is performed on a target coverage area of the MIMO antenna by acquiring base station position information and communication parameters corresponding to a serving cell where the MIMO antenna is located, and the central position, the UE number and the UE weight of each grid are determined, so that UE weighted grid distribution is determined. And the UE weighting grid distribution is used for representing the distribution situation of the busy degree of UE traffic in the target coverage area. The UE weighting grid distribution comprises UE weight, UE quantity and UE position information, so that the UE condition of a target coverage area can be accurately analyzed.
Step 101, determining a MIMO center alignment direction based on the UE weighted grid distribution;
specifically, the position with the busiest UE service is determined based on the UE grid weighted distribution, and the MIMO center alignment direction is determined according to the position with the busiest UE service.
102, configuring parameters of the MIMO antenna according to the UE weighted grid distribution and the MIMO center alignment direction;
specifically, the downtilt, azimuth, horizontal wave width and vertical wave width of the MIMO antenna are optimally configured. And calculating the downward inclination angle and the azimuth angle of the MIMO according to the MIMO center alignment direction, and finding the position of a hot spot area of a target coverage area while adapting to various scenes, thereby being beneficial to further improving the spectrum efficiency and the network capacity. And calculating the horizontal wave width and the vertical wave width of the MIMO antenna by adopting a threshold judgment mode according to the UE weighted grid distribution and the MIMO center alignment direction, realizing the maximum coverage while ensuring the capacity improvement of a hot spot area, and effectively absorbing more users.
According to the parameter configuration method of the MIMO antenna, the UE weighted grid distribution is introduced, the busy degree distribution condition of the UE service in the target coverage area is comprehensively considered, the parameters of the MIMO antenna are optimally configured based on the UE weighted grid distribution, the hot spot area alignment is more accurate, the optimal network coverage of the hot spot capacity is considered, the system capacity is improved, and the coverage maximization can be guaranteed.
Based on the content of the foregoing embodiment, the determining the UE weighted grid distribution corresponding to the target coverage area of the MIMO antenna specifically includes:
acquiring base station position information corresponding to a service cell where the MIMO antenna is located, performing grid division on a target coverage area of the MIMO antenna according to the base station position information, and determining the central position of each grid;
acquiring communication parameters of a service cell where the MIMO antenna is located, and determining the number of UE and the weight of the UE of each grid;
determining the UE weighted grid distribution according to the central position of each grid, the UE quantity and the UE weight;
wherein the communication parameters comprise MR data, the UE weights being determined based on MR data.
Specifically, the base station position information includes information such as a base station longitude and latitude, a building height where the base station is located, a base station height, and the like, and further includes a rectangular coordinate system Γ which takes the base station as an origin and a due north direction as an axis.
In a practical example, in the rectangular coordinate system Γ, the target coverage area is divided into grids with a plane of 20 meters × 20 meters and a height of 3 meters, and after division, the center position of each grid can be determined.
The communication parameters include MR (measurement report) data and the like, and the MR data is measurement report data reported by actual users of the existing network in the service generation process, and can truly represent the coverage condition and service distribution condition of the existing network. The UE quantity and the UE weight of each grid are determined by obtaining communication parameters of a service cell where the MIMO antenna is located, wherein the UE weight of each grid is determined and can be updated based on the MR data, and the busy degree of service in each grid is mainly reflected.
According to the center position of each grid, the number of the UE and the weight of the UE, the weighted grid distribution of the UE can be output, as shown in Table 1.
TABLE 1 UE weighted grid distribution
Center position of grid Number of UEs in grid Grid center weight
(0，0，0) N1 M1
(-20，0，3) N2 M2
… … …
(20l，20m，3n) Ni Mi
By comprehensively considering information such as UE weight, quantity and position, more accurate hot spot area alignment and better network coverage considering hot spot capacity can be realized, the system capacity is improved, and meanwhile, the coverage maximization is ensured.
Based on the content of the foregoing embodiment, determining the MIMO center alignment direction based on the UE weighted grid distribution specifically includes:
dividing a plurality of unit detection areas in a partially overlapping manner based on the UE weighting grid distribution;
calculating the number of UE corresponding to each unit detection area based on the number of UE of each grid, calculating the total weight of UE corresponding to each unit detection area based on the weight of UE of each grid, and taking the total weight of UE as the score corresponding to each unit detection area;
and determining the MIMO center alignment direction based on the UE number and the score corresponding to each unit detection area.
Specifically, based on UE grid weighting distribution, a plurality of unit detection areas are divided in a partial overlapping mode, each unit detection area is composed of a plurality of grids, the sum of UE weights and the number of UE corresponding to each unit detection area can be obtained through calculation according to the number of UE and the weight of UE of each grid, the sum of the UE weights is called the score of the unit detection area, the number of the corresponding UE and the score are obtained, then the grid with the busiest UE service is determined based on the number of UE and the score corresponding to each unit detection area, and the MIMO center alignment direction is determined according to the center position of the grid with the busiest UE service.
Taking a preset number of grids as a unit detection area, and taking every other grid with the preset number of grids as a unit detection area to obtain a detection area formed by a plurality of unit detection areas;
and respectively calculating and obtaining the UE number and the score corresponding to each unit detection area according to the UE number and the UE weight of each grid, wherein the score is the sum of the UE weights of the grids in each unit detection area.
In one embodiment, the 18 grid weights M are calculated with 3 × 3 × 2 grids as one unit detection regionjSum of (S)iAnd total number of UEs RiNamely:
Figure BDA0002302576600000091
Figure BDA0002302576600000092
definition of SiIs a region AiScore of (2), RiIs a region AiThe number of UEs. Every other grid, 3 × 3 × 2 grids are used as a unit detection area, and a detection area A composed of a plurality of unit detection areas is divided1,A2,...,AnThe unit detection areas are partially overlapped, as shown in fig. 2, which is a schematic diagram of detection area division provided by the embodiment of the present invention.
Respectively calculating each unit detection area A according to the formulas (1) and (2)1,A2,...,AnRespectively is S1,S2,...,SnEach unit detecting area A1,A2,...,AnRespectively R1,R2,...,Rn。
Based on the content of the above embodiment, determining the MIMO center alignment direction based on the number of UEs and the score corresponding to each unit detection area specifically includes:
taking the central position of the grid with the maximum UE weight in the unit detection area with the highest score as the target alignment position of the MIMO antenna; or,
determining that the scores of two or more unit detection areas are the highest, judging whether the two or more unit detection areas are partially overlapped, if so, taking the central position of the grid with the maximum weight of the UE in the overlapped part as the target alignment position of the MIMO antenna, otherwise, selecting the central position of the grid with the maximum weight of the UE in the unit detection area with the highest score and the maximum number of the UE as the target alignment position of the MIMO antenna;
and determining the MIMO center alignment direction according to the target alignment position.
In particular, from S1,S2,...,SnThe maximum value in the series of scores corresponds to region ASMAXAnd taking the central position of the grid with the highest score as the target alignment position of the MIMO antenna.
If the highest score corresponds to two or more unit detection areas, judging whether the two or more unit detection areas are partially overlapped: if the areas are partially overlapped, taking the central position of the grid with the maximum weight of the UE in the overlapped parts of the areas as the target alignment position of the MIMO antenna; otherwise, selecting the central position of the grid with the maximum UE weight in the unit detection area with the highest score and the maximum UE number as the target alignment position of the MIMO antenna.
And determining the target alignment position of the MIMO antenna, and in a coordinate system gamma, taking the base station as an origin, and pointing to the target alignment position of the MIMO antenna from the base station to obtain the MIMO center alignment direction.
Based on the content of the foregoing embodiment, configuring the parameters of the MIMO antenna according to the UE weighted grid distribution and the MIMO center alignment direction specifically includes:
calculating a downtilt angle and an azimuth angle of the MIMO antenna according to the MIMO center alignment direction;
projecting horizontal grid distribution and vertical grid distribution based on the UE weighted grid distribution, determining the horizontal wave width of the MIMO antenna according to the horizontal grid distribution and the MIMO center alignment direction, and determining the vertical wave width of the MIMO antenna according to the vertical grid distribution and the MIMO center alignment direction.
Specifically, the downtilt and azimuth of the MIMO antenna are calculated according to the MIMO center alignment direction and the base station location information.
Projecting horizontal grid distribution and vertical grid distribution based on the UE weighted grid distribution, then calculating included angles between the central positions of the horizontal grids in the left and right side areas of the MIMO central alignment direction and the MIMO central alignment direction according to the horizontal grid distribution and the MIMO central alignment direction, accumulating the UE weights and the UE number corresponding to the horizontal grids from small to large according to the included angles, determining the minimum included angle meeting a threshold condition when the UE weights and the UE number both reach the threshold condition, and determining the horizontal wave width of the MIMO antenna according to the minimum included angle; and calculating included angles between the central positions of the vertical grids in the upper and lower side areas of the MIMO center alignment direction and the MIMO center alignment direction according to the vertical grid distribution and the MIMO center alignment direction by adopting a similar method, accumulating the UE weights and the UE quantity corresponding to the vertical grids from small to large according to the included angles, determining the minimum included angle meeting a threshold condition when the UE weights and the UE quantity both reach the threshold condition, and determining the vertical wave width of the MIMO antenna according to the minimum included angle.
According to the parameter configuration device of the MIMO antenna, the UE weighting grid distribution is introduced, the quantity, weight and position of the UE are comprehensively considered, the MIMO center alignment direction is optimally configured by adopting an overlapping division method, the downward inclination angle and the azimuth angle are further configured, the horizontal wave width and the vertical wave width are optimally configured by adopting a threshold judgment method, the accurate hot spot area alignment is realized, the optimal network coverage of the hot spot capacity is considered, the system capacity is improved, and the coverage maximization can be ensured.
Based on the content of the above embodiment, calculating the downtilt of the MIMO antenna according to the MIMO center alignment direction specifically includes:
and calculating the downtilt angle of the MIMO antenna according to the MIMO center alignment direction and the base station position information by adopting the following formula:
Figure BDA0002302576600000121
wherein (x)0,y0,z0) For the MIMO center pairThe coordinate of the quasi-direction (i.e. the target alignment position) h is the sum of the height of the building where the base station is located and the height of the base station.
Specifically, under a coordinate system Γ, a target alignment position (x) of the MIMO antenna is determined0,y0,z0) And then, calculating to obtain the downward inclination angle of the MIMO antenna according to the target alignment position, the base station position and the base station height.
Fig. 3 is a diagram illustrating a location relationship between a base station and a UE according to an embodiment of the present invention. Assuming that the sum of the height of the building where the base station is located and the height of the base station is H, the height of the target alignment position is H, and the vertical distance from the base station to the target alignment position is d, the following corresponding relationship is as follows:
Figure BDA0002302576600000122
z0＝H-h (4)
the following 3 cases are discussed according to the magnitude relationship between H and H:
h is more than 0 and less than or equal to H/2, the downward inclination angle is as follows:
Figure BDA0002302576600000123
when H/2 is more than H and less than or equal to H, the downward inclination angle is as follows:
Figure BDA0002302576600000124
when H is more than H, the downward inclination angle is as follows:
Figure BDA0002302576600000125
in summary, the downtilt angle of the MIMO antenna is:
Figure BDA0002302576600000126
according to the formula (3) and the formula (4), the formula (5) is transformed to obtain a formula (6), namely, the downtilt angle is determined according to the MIMO center alignment direction as follows:
Figure BDA0002302576600000131
determining the MIMO azimuth angle according to the MIMO center alignment direction specifically comprises:
the azimuth angle of the MIMO antenna is as follows by taking a positive half shaft of a y axis as a starting point and taking a counterclockwise rotation angle as positive:
Figure BDA0002302576600000132
based on the content of the foregoing embodiment, projecting a horizontal grid distribution and a vertical grid distribution based on the UE weighted grid distribution, determining a horizontal bandwidth of the MIMO antenna according to the horizontal grid distribution and the MIMO center alignment direction, and determining a vertical bandwidth of the MIMO antenna according to the vertical grid distribution and the MIMO center alignment direction, further includes:
projecting the UE weight of each grid in the UE weighted grid distribution to a horizontal plane and a vertical plane respectively to obtain a plurality of projection grids, wherein the projection grids comprise a horizontal grid and a vertical grid;
counting the weight sum and the number of the UE in each projection grid, taking the weight sum of the UE as the score of the projection grid, and obtaining projection grid distribution, wherein the projection grid distribution comprises horizontal grid distribution and vertical grid distribution;
based on the horizontal grid distribution, respectively calculating the included angles between the central positions of the horizontal grids in the left side area and the right side area of the MIMO central alignment direction and the MIMO central alignment direction, and based on the vertical grid distribution, respectively calculating the included angles between the central positions of the vertical grids in the upper side area and the lower side area of the MIMO central alignment direction and the MIMO central alignment direction;
accumulating the number and the score of the UE of the projection grid according to the mode that the included angle is from small to large aiming at each area, and obtaining the accumulated number and the score of the UE corresponding to each area;
if the accumulated number of the UE exceeds a preset threshold of the sum of the number of the UE of all the projection grids in the corresponding region and the accumulated score also exceeds a preset threshold of the sum of the scores of all the projection grids in the corresponding region, acquiring a corresponding minimum included angle, and determining the horizontal wave width and the vertical wave width of the MIMO antenna according to the minimum included angle.
Specifically, the embodiment of the present invention projects horizontal grid distribution and vertical grid distribution based on the UE weighted grid distribution, and divides four regions based on the MIMO center alignment direction, respectively accumulates the number of UEs and scores in each region from small to large according to an included angle with the MIMO center alignment direction, and determines the horizontal wave width and the vertical wave width of the MIMO antenna when the accumulated number of UEs and scores both reach a preset threshold. And the score is the UE weight sum corresponding to the grid.
Projecting the UE weight of each grid to a horizontal plane to obtain a plurality of horizontal grids, and counting the total weight MH of the UE in each horizontal gridiAnd number of UEs NHiAnd defining the UE weight sum as a score of a horizontal grid, thereby obtaining a horizontal grid distribution, as shown in table 2.
TABLE 2 horizontal grid distribution
Figure BDA0002302576600000141
Let the center coordinate of any one horizontal grid be (x)i,yi) Fig. 4 is a diagram of a horizontal projection coordinate system according to an embodiment of the present invention. To the right of the MIMO center alignment direction, i.e. (y)0/x0)·xi≥yiThe horizontal grid on the right side of the MIMO center alignment direction is screened out based on table 2.
Calculating to obtain the horizontal included angle tau between the center of each horizontal grid and the MIMO center alignment direction according to the center position of the screened horizontal grid and a formula (8)i。
Figure BDA0002302576600000151
The horizontal grid distributions on the right side of the center alignment direction are obtained by sorting the horizontal included angles from small to large, as shown in table 3.
Make the horizontal included angle at
Figure BDA0002302576600000152
j＝1,2,3,....,a,a∈Z+The corresponding horizontal grid UE number and the horizontal grid score in the interval are respectively summed to obtain the accumulated UE number
Figure BDA0002302576600000153
And accumulated scores
Figure BDA0002302576600000154
TABLE 3 horizontal grid distribution to the right of the center alignment direction
Figure BDA0002302576600000155
If the accumulated number of UEs exceeds the preset threshold of the sum of the numbers of UEs of all projection grids in the corresponding region, the accumulated score also exceeds the preset threshold of the sum of the scores of all projection grids in the corresponding region, in an embodiment, the value of the preset threshold is 85%, that is:
Figure BDA0002302576600000156
Figure BDA0002302576600000157
determining the minimum horizontal included angle which simultaneously meets the two conditions as the right side wave width rho of the MIMO antennaR。
Similarly, to the left of the MIMO center alignment direction, i.e., (y)0/x0)·xi＜yiThe horizontal grid on the left side of the center alignment direction is selected according to Table 2 and is aligned with the MIMAnd respectively accumulating the number of the UE and the score in a mode that the included angle of the alignment direction of the center of the O is from small to large. If the accumulated number of the UE and the accumulated score respectively exceed 85% of the sum of the number of the UE and 85% of the sum of the scores in the left area of the center alignment direction, determining the minimum horizontal included angle meeting the two conditions as the left side wave width rho of the MIMOL。
In summary, the horizontal bandwidth of the MIMO is determined to be ρH＝ρL+ρR。
The method for determining the MIMO vertical wave width is similar to the method for determining the MIMO horizontal wave width, firstly, the UE weight of each grid is projected to a vertical plane to obtain a plurality of vertical grids; counting the UE weight sum and the UE number of each vertical grid based on the UE number and the UE weight of each grid, and defining the UE weight sum as a score of the vertical grid to obtain vertical grid distribution; and sequencing according to the distance between the center of the vertical grid and the MIMO center alignment direction to obtain the upper side vertical grid distribution and the lower side vertical grid distribution, namely calculating the included angle between the center position of the upper side/lower side vertical grid in the MIMO center alignment direction and the MIMO center alignment direction, taking the included angle as the vertical included angle of each upper side/lower side vertical grid in the MIMO center alignment direction, sequencing the upper side/lower side vertical grids in the MIMO center alignment direction according to the sequence of the vertical included angles from small to large to obtain the upper side/lower side vertical grid distribution in the center alignment direction. Respectively calculating the accumulated UE quantity and the accumulated score at the upper side and the lower side, and determining the upper side wave width rho of the MIMO when the corresponding minimum vertical included angle simultaneously meets two conditions that the accumulated UE quantity exceeds the preset percentage of the total UE quantity in the side area and the accumulated score exceeds the preset percentage of the total score in the side areaCAnd a lower side wave width ρFSo as to obtain the vertical wave width of the MIMO as rhoV＝ρC+ρF。
Based on the content of the foregoing embodiment, after configuring the parameters of the MIMO antennas according to the UE weighted grid distribution and the MIMO center alignment direction, the method further includes:
and if the number of the UE in the target coverage area of the MIMO antenna changes and exceeds a preset threshold value, readjusting the parameters of the MIMO antenna.
Specifically, if the variation of the number of UEs in the target coverage area of the MIMO antenna exceeds a preset threshold, for example, the variation of the number of UEs exceeds 10%, the UE weighting grid distribution is re-determined by using the method of the foregoing embodiment, and the downtilt angle, the azimuth angle, the horizontal wave width, and the vertical wave width of the MIMO antenna are re-adjusted.
According to the parameter configuration method of the MIMO antenna, provided by the embodiment of the invention, a feedback adjustment process exists in the process of determining the parameters of the downward inclination angle, the azimuth angle, the horizontal wave width and the vertical wave width of the MIMO, so that the method can better adapt to the performance improvement requirements of different scenes and different time periods.
As shown in fig. 5, a schematic structural diagram of a parameter configuration apparatus for MIMO antennas according to an embodiment of the present invention includes: a UE weighted grid distribution determination module 510, a MIMO center alignment direction determination module 520, and a parameter configuration module 530, wherein,
a UE weighted grid distribution determining module 510, configured to determine a UE weighted grid distribution corresponding to a target coverage area of the MIMO antenna;
specifically, the UE weighted grid distribution determining module 510 performs grid division on a target coverage area of the MIMO antenna by obtaining base station location information and communication parameters corresponding to a serving cell in which the MIMO antenna is located, and determines a central position, a UE number, and a UE weight of each grid, thereby determining UE weighted grid distribution. The UE weighting grid distribution comprises UE weight, UE quantity and UE position information, so that the UE condition of a target coverage area can be accurately analyzed.
A MIMO centering direction determining module 520, configured to determine a MIMO centering direction based on the UE weighted grid distribution;
specifically, the MIMO centering direction determining module 520 determines a location where the UE traffic is the busiest based on the UE grid weighted distribution, and determines the MIMO centering direction according to the location where the UE traffic is the busiest. .
A parameter configuration module 530, configured to configure parameters of the MIMO antennas according to the UE weighted grid distribution and the MIMO center alignment direction;
specifically, the parameter configuration module 530 optimally configures a downtilt angle, an azimuth angle, a horizontal wave width, and a vertical wave width of the MIMO antenna. And calculating the downward inclination angle and the azimuth angle of the MIMO according to the MIMO center alignment direction, and finding the position of a hot spot area of a target coverage area while adapting to various scenes, thereby being beneficial to further improving the spectrum efficiency and the network capacity. And calculating the horizontal wave width and the vertical wave width of the MIMO antenna by adopting a threshold judgment mode according to the UE weighted grid distribution and the MIMO center alignment direction, realizing the maximum coverage while ensuring the capacity improvement of a hot spot area, and effectively absorbing more users.
According to the parameter configuration device of the MIMO antenna, the UE weighted grid distribution is introduced, the busy degree distribution condition of UE services in the target coverage area is comprehensively considered, the parameters of the MIMO antenna are optimally configured based on the UE weighted grid distribution, the hot spot area alignment is more accurate, the optimal network coverage of the hot spot capacity is considered, the system capacity is improved, and the coverage maximization can be guaranteed.
Fig. 6 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 6, the electronic device may include: a processor (processor)610, a communication Interface (Communications Interface)620, a memory (memory)630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may invoke a computer program stored on the memory 630 and executable on the processor 610 to perform the parameter configuration method for the MIMO antenna provided by the above method embodiments, for example, including: determining UE weighted grid distribution corresponding to a target coverage area of the MIMO antenna; determining a MIMO center alignment direction based on the UE weighted grid distribution; configuring parameters of the MIMO antenna according to the UE weighted grid distribution and the MIMO center alignment direction; and the UE weighting grid distribution is used for representing the distribution situation of the busy degree of UE traffic in the target coverage area.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
An embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for configuring parameters of a MIMO antenna provided in the foregoing method embodiments, for example, including: determining UE weighted grid distribution corresponding to a target coverage area of the MIMO antenna; determining a MIMO center alignment direction based on the UE weighted grid distribution; configuring parameters of the MIMO antenna according to the UE weighted grid distribution and the MIMO center alignment direction; and the UE weighting grid distribution is used for representing the distribution situation of the busy degree of UE traffic in the target coverage area.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units 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 may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (6)

1. A method for configuring parameters of MIMO antennas is characterized by comprising the following steps:
determining UE weighted grid distribution corresponding to a target coverage area of the MIMO antenna;
determining a MIMO center alignment direction based on the UE weighted grid distribution;
configuring parameters of the MIMO antenna according to the UE weighted grid distribution and the MIMO center alignment direction;
the UE weighting grid distribution is used for representing the distribution situation of the busy degree of UE traffic in the target coverage area;
wherein, the determining the UE weighted grid distribution corresponding to the target coverage area of the MIMO antenna specifically includes:
acquiring base station position information corresponding to a service cell where the MIMO antenna is located, performing grid division on a target coverage area of the MIMO antenna according to the base station position information, and determining the central position of each grid;
acquiring communication parameters of a service cell where the MIMO antenna is located, and determining the number of UE and the weight of the UE of each grid;
determining the UE weighted grid distribution according to the central position of each grid, the UE quantity and the UE weight;
wherein the communication parameters comprise Measurement Report (MR) data, the UE weights being determined based on the MR data;
wherein, based on the UE weighted grid distribution, determining a MIMO center alignment direction specifically comprises:
dividing a plurality of unit detection areas in a partially overlapping manner based on the UE weighting grid distribution;
calculating the number of UE corresponding to each unit detection area based on the number of UE of each grid, calculating the total weight of UE corresponding to each unit detection area based on the weight of UE of each grid, and taking the total weight of UE as the score corresponding to each unit detection area;
determining the MIMO center alignment direction based on the UE number and the score corresponding to each unit detection area;
configuring parameters of the MIMO antenna according to the UE weighted grid distribution and the MIMO center alignment direction, specifically:
calculating a downtilt angle and an azimuth angle of the MIMO antenna according to the MIMO center alignment direction;
projecting horizontal grid distribution and vertical grid distribution based on the UE weighted grid distribution, determining the horizontal wave width of the MIMO antenna according to the horizontal grid distribution and the MIMO center alignment direction, and determining the vertical wave width of the MIMO antenna according to the vertical grid distribution and the MIMO center alignment direction;
wherein, projecting a horizontal grid distribution and a vertical grid distribution based on the UE weighted grid distribution, determining a horizontal wave width of the MIMO antenna according to the horizontal grid distribution and the MIMO center alignment direction, and determining a vertical wave width of the MIMO antenna according to the vertical grid distribution and the MIMO center-of-gravity alignment direction, specifically:
projecting the UE weight of each grid in the UE weighted grid distribution to a horizontal plane and a vertical plane respectively to obtain a plurality of projection grids, wherein the projection grids comprise a horizontal grid and a vertical grid;
counting the weight sum and the number of the UE in each projection grid, taking the weight sum of the UE as the score of the projection grid, and obtaining projection grid distribution, wherein the projection grid distribution comprises horizontal grid distribution and vertical grid distribution;
based on the horizontal grid distribution, respectively calculating the included angles between the central positions of the horizontal grids in the left side area and the right side area of the MIMO central alignment direction and the MIMO central alignment direction, and based on the vertical grid distribution, respectively calculating the included angles between the central positions of the vertical grids in the upper side area and the lower side area of the MIMO central alignment direction and the MIMO central alignment direction;
accumulating the number and the score of the UE of the projection grid according to the mode that the included angle is from small to large aiming at each area, and obtaining the accumulated number and the score of the UE corresponding to each area;
if the accumulated number of the UE exceeds a preset threshold of the sum of the number of the UE of all the projection grids in the corresponding region and the accumulated score also exceeds a preset threshold of the sum of the scores of all the projection grids in the corresponding region, acquiring a corresponding minimum included angle, and determining the horizontal wave width and the vertical wave width of the MIMO antenna according to the minimum included angle.
2. The method for configuring parameters of a MIMO antenna according to claim 1, wherein the determining the MIMO center alignment direction based on the number of UEs and the score corresponding to each unit detection area specifically includes:
taking the central position of the grid with the maximum UE weight in the unit detection area with the highest score as the target alignment position of the MIMO antenna; or,
determining that the scores of two or more unit detection areas are the highest, judging whether the two or more unit detection areas are partially overlapped, if so, taking the central position of the grid with the maximum weight of the UE in the overlapped part as the target alignment position of the MIMO antenna, otherwise, selecting the central position of the grid with the maximum weight of the UE in the unit detection area with the highest score and the maximum number of the UE as the target alignment position of the MIMO antenna;
and determining the MIMO center alignment direction according to the target alignment position.
3. The method for configuring parameters of a MIMO antenna according to claim 1, wherein the calculating of the downtilt of the MIMO antenna according to the MIMO center alignment direction includes:
and calculating the downtilt angle of the MIMO antenna according to the MIMO center alignment direction and the base station position information by adopting the following formula:
Figure FDA0003371657630000031
wherein (x)0,y0,z0) H is the sum of the height of the building where the base station is located and the height of the base station.
4. The method of configuring parameters of MIMO antennas according to any of claims 1 to 3, wherein the configuring the parameters of the MIMO antennas according to the UE weighting grid distribution and the MIMO center alignment direction further comprises:
and if the number of the UE in the target coverage area of the MIMO antenna changes and exceeds a preset threshold value, readjusting the parameters of the MIMO antenna.
5. An apparatus for configuring parameters of a MIMO antenna, comprising:
a UE weighted grid distribution determining module, configured to determine UE weighted grid distribution corresponding to a target coverage area of the MIMO antenna;
a MIMO center alignment direction determining module, configured to determine a MIMO center alignment direction based on the UE weighted grid distribution;
a parameter configuration module, configured to configure parameters of the MIMO antennas according to the UE weighted grid distribution and the MIMO center alignment direction;
the UE weighting grid distribution is used for representing the distribution situation of the busy degree of UE traffic in the target coverage area;
wherein, the determining the UE weighted grid distribution corresponding to the target coverage area of the MIMO antenna specifically includes: acquiring base station position information corresponding to a service cell where the MIMO antenna is located, performing grid division on a target coverage area of the MIMO antenna according to the base station position information, and determining the central position of each grid; acquiring communication parameters of a service cell where the MIMO antenna is located, and determining the number of UE and the weight of the UE of each grid; determining the UE weighted grid distribution according to the central position of each grid, the UE quantity and the UE weight; wherein the communication parameters comprise Measurement Report (MR) data, the UE weights being determined based on the MR data;
wherein, based on the UE weighted grid distribution, determining a MIMO center alignment direction specifically comprises: dividing a plurality of unit detection areas in a partially overlapping manner based on the UE weighting grid distribution; calculating the number of UE corresponding to each unit detection area based on the number of UE of each grid, calculating the total weight of UE corresponding to each unit detection area based on the weight of UE of each grid, and taking the total weight of UE as the score corresponding to each unit detection area; determining the MIMO center alignment direction based on the UE number and the score corresponding to each unit detection area;
configuring parameters of the MIMO antenna according to the UE weighted grid distribution and the MIMO center alignment direction, specifically: calculating a downtilt angle and an azimuth angle of the MIMO antenna according to the MIMO center alignment direction; projecting horizontal grid distribution and vertical grid distribution based on the UE weighted grid distribution, determining the horizontal wave width of the MIMO antenna according to the horizontal grid distribution and the MIMO center alignment direction, and determining the vertical wave width of the MIMO antenna according to the vertical grid distribution and the MIMO center alignment direction;
wherein, projecting a horizontal grid distribution and a vertical grid distribution based on the UE weighted grid distribution, determining a horizontal wave width of the MIMO antenna according to the horizontal grid distribution and the MIMO center alignment direction, and determining a vertical wave width of the MIMO antenna according to the vertical grid distribution and the MIMO center-of-gravity alignment direction, specifically: projecting the UE weight of each grid in the UE weighted grid distribution to a horizontal plane and a vertical plane respectively to obtain a plurality of projection grids, wherein the projection grids comprise a horizontal grid and a vertical grid; counting the weight sum and the number of the UE in each projection grid, taking the weight sum of the UE as the score of the projection grid, and obtaining projection grid distribution, wherein the projection grid distribution comprises horizontal grid distribution and vertical grid distribution; based on the horizontal grid distribution, respectively calculating the included angles between the central positions of the horizontal grids in the left side area and the right side area of the MIMO central alignment direction and the MIMO central alignment direction, and based on the vertical grid distribution, respectively calculating the included angles between the central positions of the vertical grids in the upper side area and the lower side area of the MIMO central alignment direction and the MIMO central alignment direction; accumulating the number and the score of the UE of the projection grid according to the mode that the included angle is from small to large aiming at each area, and obtaining the accumulated number and the score of the UE corresponding to each area; if the accumulated number of the UE exceeds a preset threshold of the sum of the number of the UE of all the projection grids in the corresponding region and the accumulated score also exceeds a preset threshold of the sum of the scores of all the projection grids in the corresponding region, acquiring a corresponding minimum included angle, and determining the horizontal wave width and the vertical wave width of the MIMO antenna according to the minimum included angle.
6. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for configuring parameters of a MIMO antenna according to any one of claims 1 to 4 when executing the program.
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