CN112020006B - Antenna adjustment method, device, equipment and computer storage medium - Google Patents
Antenna adjustment method, device, equipment and computer storage medium Download PDFInfo
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- CN112020006B CN112020006B CN201910462881.1A CN201910462881A CN112020006B CN 112020006 B CN112020006 B CN 112020006B CN 201910462881 A CN201910462881 A CN 201910462881A CN 112020006 B CN112020006 B CN 112020006B
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The embodiment of the invention relates to the technical field of antennas, and discloses an antenna adjusting method, an antenna adjusting device and a computer storage medium, wherein the method comprises the following steps: acquiring user information and base station information in a designated area; determining a hot spot domain according to the user information and the base station information; and adjusting the antenna of the base station covering the hot spot domain. Through the mode, the antenna optimization adjustment method and the antenna optimization adjustment device enable the antenna optimization adjustment to be more efficient, rapid and timely.
Description
Technical Field
The embodiment of the invention relates to the technical field of antennas, in particular to an antenna adjusting method, an antenna adjusting device, antenna adjusting equipment and a computer storage medium.
Background
MIMO antenna technology refers to a method in which a transmitting end and a receiving end of a base station use a plurality of transmitting antenna channels and receiving antenna channels, respectively, in a 4G network, thereby improving the capacity and quality of communication. And Massive MIMO (Massive Multiple-Input Multiple-Output) is a key antenna technology of 5G, the number of antenna channels is more than that of common MIMO antenna channels, up to 64/128/256, and signal adjustment introduces a vertical dimension on the basis of a horizontal dimension. Therefore, the Massive MIMO antenna has more advantages in the aspects of adjusting coverage effect, improving coverage quality and improving system capacity.
In carrying out embodiments of the present invention, the inventors found that: the existing optimization mode of the massive MIMO antenna and the common antenna is a manual setting method, and the antennas are mainly adjusted according to subjective judgment of operators. However, with the rapid increase of the number of mobile communication users, the complexity of the coverage scene of the base station and the frequent migration of people stream, the current method cannot optimize the antenna rapidly and timely, and cannot cope with the variation of people stream.
Disclosure of Invention
In view of the foregoing, embodiments of the present invention provide an antenna adjustment method, apparatus, device, and computer storage medium, which overcome or at least partially solve the foregoing problems.
According to an aspect of an embodiment of the present invention, there is provided an antenna adjustment, the method including: acquiring user information and base station information in a designated area; determining a hot spot domain according to the user information and the base station information; and adjusting the antenna of the base station covering the hot spot domain.
In an alternative manner, the user information includes MR (Measurement Report ) data, and the hotspot domain is determined according to the user information and the base station information, specifically: dividing a grid in the designated area; calculating the number of MR sampling points in each grid according to the MR data and longitude and latitude information of the base station; when the number of MR sampling points in the grid is larger than a first preset threshold value, determining the grid as a hot spot grid; the area containing the grid is determined as the hot spot domain.
In an alternative way, the hotspot domain comprises a hotspot grid; alternatively, the hotspot domain contains at least 2 adjacent hotspot grids.
In an alternative manner, before the adjusting the antenna of the base station covering the hot spot domain, the method further includes: and determining the priority of the hot spot domain according to the number of the hot spot grids in the hot spot domain and the number of the MR sampling points in the hot spot domain.
In an alternative manner, the determining the priority of the hot spot domain according to the number of the hot spot grids in the hot spot domain and the number of the MR sampling points in the hot spot domain includes: calculating the number of the hot spot grids in each hot spot domain in a designated area; and comparing the number of the hot spot grids in each hot spot domain, and determining the hot spot domains with the larger number of the hot spot grids as the hot spot domains with higher priorities.
In an alternative manner, the determining the priority of the hot spot domain according to the number of the hot spot grids in the hot spot domain and the number of the MR sampling points in the hot spot domain includes: calculating the number of the hot spot grids in each hot spot domain; comparing the number of the hot spot grids in each hot spot domain, and respectively counting the number of MR sampling points in each hot spot domain when the number of the hot spot grids in each hot spot domain is the same; comparing the number of the MR sampling points of the plurality of the hot spot domains, and determining the hot spot domains with more number of the MR sampling points as the hot spot domains with higher priorities.
In an optional manner, the adjusting the antenna of the base station covering the hot spot domain specifically includes: screening out a main coverage cell of the hot spot domain; acquiring data information of an antenna of a base station to which the main coverage cell belongs; calculating the central point of the hot spot domain; calculating a target electronic downtilt angle of an antenna of a base station to which the main coverage cell belongs according to the data information of the central point and the antenna; and adjusting the electronic downtilt angle of the antenna of the base station to which the main coverage cell belongs to be a target electronic downtilt angle.
In an optional manner, the adjusting the antenna of the base station covering the hot spot domain further includes: calculating horizontal beam width and vertical beam width according to the data information of the antenna and the geographic position of the hot spot domain; and adjusting the beam setting of the antenna according to the horizontal beam width and the vertical beam width.
According to another aspect of an embodiment of the present invention, there is provided an antenna adjustment apparatus including: the acquisition module is used for acquiring user information and base station information in a designated area; the first determining module is used for determining a hot spot domain according to the user information and the base station information; and the adjusting module is used for adjusting the antenna of the base station covering the hot spot domain.
According to another aspect of an embodiment of the present invention, there is provided an antenna adjustment apparatus including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus; the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the antenna adjustment method.
According to still another aspect of the embodiments of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing the processor to perform operations corresponding to the above-mentioned antenna adjustment method.
According to the embodiment of the invention, the hot spot area in the appointed area, namely the user dense area, is calculated by acquiring the user information and the base station information in the appointed area. And then only the antennas of the base stations covering the hot spot domain are optimally adjusted. By the method, areas with less people flow are filtered, so that the antenna optimization adjustment is more efficient and quick. In addition, when people flow migrates, the user information is updated, so that the hot spot domain is changed, and the antenna optimization adjustment is more timely.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and may be implemented according to the content of the specification, so that the technical means of the embodiments of the present invention can be more clearly understood, and the following specific embodiments of the present invention are given for clarity and understanding.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 shows a flowchart of an antenna adjustment method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating the substeps of determining a hotspot domain in an embodiment of the present invention;
fig. 3 is a flowchart of an antenna adjustment method according to another embodiment of the present invention;
FIG. 4 is a flowchart illustrating the substeps of dividing a grid within the designated area in an embodiment of the invention;
FIG. 5 is a flowchart illustrating the substeps of adjusting antennas of a base station covering a hot spot domain in an embodiment of the present invention;
FIG. 6 is a schematic diagram showing a method for calculating a target electron downtilt angle according to another embodiment of the present invention;
FIG. 7 is a schematic diagram showing a method for calculating a vertical beam width according to another embodiment of the present invention;
FIG. 8 is a schematic diagram showing a method for calculating horizontal beam width according to another embodiment of the present invention;
fig. 9 is a schematic structural diagram of an antenna adjustment device according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a base station location information checking device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
An antenna is a basic device in a base station for receiving and transmitting radio waves. A base station typically has multiple antennas, one covering each cell. And MIMO (Multiple-Input Multiple-Output) antennas refer to using Multiple transmit antenna channels and receive antenna channels at a transmitting end and a receiving end of a base station, respectively, so that signals are transmitted and received through the Multiple antenna channels at the transmitting end and the receiving end, thereby improving communication quality and capacity. The principle of the Massive MIMO antenna is the same as that of the MIMO antenna, but the number of antenna channels is more, and the signal adjustment introduces the vertical dimension on the basis of the horizontal dimension, so that compared with the original MIMO technology, the Massive MIMO technology has obvious advantages in adjusting the coverage effect, improving the coverage quality and improving the system capacity. The optimization adjustment of the antenna mainly refers to adjusting parameters of the antenna of the base station according to the coverage condition of the current base station and the distribution condition of users so as to improve the coverage quality of the antenna and adjust the coverage. The current base station covers a complex scene, and the traffic migration is frequent. In order to meet the communication demands of users, the antennas are required to be continuously adjusted and set along with the migration of people streams so as to ensure the coverage quality of areas with dense people streams.
Embodiments of the present invention will be described below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 shows a flowchart of an antenna adjustment method according to an embodiment of the present invention, where the method includes the following steps:
step S110: user information and base station information in a designated area are acquired.
When the parameter setting of the antenna is completed, its coverage and quality are also determined. And when people flow moves to an area with poor coverage quality or a large amount of people flow gushes into the same area, the conversation quality of the people flow is poor. Therefore, antenna optimization is needed, and parameter setting of the antenna is adjusted, so that the coverage range and quality of the antenna can be changed according to the change of the dense people stream area. Thus, the designated area refers to a larger area where people stream is frequently migrated, and may be all areas of a city or county. The user refers to a user using a mobile phone or other mobile terminals for communication, and the user information refers to MR data and service statistics data of the user, which can be obtained through a communication system and a communication network signal measurement statistics file. The base station refers to a base station covering the specified area, and the base station information comprises configuration data of the base station and an antenna thereof, and can be acquired through a communication system operation and maintenance server. Specifically, the base station information may be parameter data of the base station, which includes longitude and latitude information of the base station and parameter configuration data of an antenna in the base station. In addition, the user information and the base station information may be obtained directly from the underlying databases of the user communication system and the base station, respectively.
Step S130: and determining a hot spot domain according to the user information and the base station information.
The hot spot domain is a user-dense area, typically a business or school, etc. that is dense in people within a designated area. The geographic position of the user terminal, namely the longitude and latitude information of the user terminal, can be calculated through the user information and the base station information. Therefore, points can be marked on a GIS (Geographic Information System ) map according to the longitude and latitude of the user terminal, so that the area with dense points in the designated area, namely the area with dense user terminals, can be found. These densely populated areas can be identified as hot spot areas. In addition, when the people flow migrates, the user information is updated, so that the longitude and latitude of the calculated user terminal are changed, and the finally obtained hot spot domain is changed. Therefore, the embodiment of the invention can track the people stream dense area in real time.
Step S150: and adjusting the antenna of the base station covering the hot spot domain.
Because the number of users in the hot spot area is large, and the antennas of the base station may not completely cover the hot spot area or the coverage cannot meet the requirements of users in the hot spot area, the antennas of the base station need to be optimally adjusted to improve the coverage quality and the user perception. For example: the coverage quality can be improved by improving the gain of the antenna, or the coverage of the antenna can be adjusted by adjusting the electronic downtilt angle of the antenna, so that the antenna can completely cover the hot spot area. For the area which is not the hot spot area, because fewer users in the area cannot burden the communication of the base station, the antenna can be optimally adjusted for the area, so that the efficiency of antenna adjustment is improved.
According to the embodiment of the invention, the user information and the base station information in the designated area are acquired, the hot spot area in the designated area, namely the user dense area, is calculated, and then the antennas of the base stations covering the hot spot area are optimized and adjusted. By the method, areas with less people flow are filtered, so that the antenna optimization adjustment is more efficient and quick. In addition, when people flow migrates, the user information is updated, so that the hot spot domain is changed, and the antenna optimization adjustment is more timely.
There are various implementations of step S130 described above, and fig. 2 is a flowchart illustrating the substeps of determining a hotspot domain in an embodiment of the present invention. As shown in fig. 2, in some embodiments, the implementation of determining the hotspot domain is specifically:
step S131: and dividing grids in the designated area.
This step geographically divides the designated area into a plurality of grids of g meters by g meters. The g value can be preset, but cannot be set too small, so that the user density degree cannot be reflected. The g value cannot be set too large to ensure that the sparse user area can be filtered out. Each grid region can be characterized by longitude and latitude coordinates of a southwest angular vertex and a northeast angular vertex, and the two points are respectively (a 1, b 1), (a 2 and b 2), so that the grid region S is { x, y|a1 is less than or equal to x is less than or equal to a2, and b1 is less than or equal to y is less than or equal to b2}.
Step S132: and calculating the number of MR sampling points in each grid according to the MR data and the longitude and latitude information of the base station.
In this step, the MR data includes an eNB arrival angle AOA and a time advance TA. When the user uses the flow to surf the internet or make a call, the user terminal reports the report value specified by the 3GPP every 5 seconds, and each report value specified by the 3GPP has corresponding AOA and TA. And then calculating an MR sampling point through AOA and TA. Therefore, MR sampling points reflect the user's intensity and how frequently the user terminal is used. Wherein, AOA reflects the reference azimuth angle of the user terminal relative to the service base station, and TA reflects the signal propagation time from the user terminal to the service base station. The MR sampling points reflect latitude and longitude information of the user terminal, but one user terminal may also have multiple MR sampling points, because the user may use the mobile phone to communicate multiple times in a period of time. Specifically, the correspondence between AOA and TA and the reported value specified by 3GPP is shown in table 1:
TABLE 1
The MR sampling points are calculated as follows:
if the longitude and latitude coordinates of the base station covering the ue are (u, v), the longitude x= -k×sin (AOA/2+0.25) (ta×78.12+39.06) +u of the MR sampling point; the latitude y=h×cos (AOA/2+0.25) ×78.12+39.06) +v of the MR sample point. Where the k and h values are approximate corresponding values in units of meters and longitudes, and TA and AOA may be arbitrarily selected from the ranges corresponding to reported values specified by 3GPP in the above table.
After the coordinates of the MR sampling points are obtained, the MR sampling points can be projected into a grid on a GIS map. Through the mode, the number of MR sampling points in each grid can be calculated.
Step S133: judging whether the number of MR sampling points in the grid is larger than a first preset threshold value or not; if yes, determining the grid as a hot spot grid.
As described in the above steps, the MR sampling points reflect the geographical location information of the user terminal, so if the MR sampling points in the grid indicate that the more user terminals in the grid or the more frequent the user communication is on the internet, the greater the communication burden of the antenna covering the grid. Therefore, when there are more MR sampling points in one grid, this grid is regarded as a hot spot grid for which antenna optimization adjustment is performed. The first preset threshold is a criterion for judging whether the MR sampling points are more, and the selection of the first preset threshold can be determined by the actual performance of the antenna.
Step S134: the area containing the grid is determined as the hot spot domain.
In some embodiments, the hotspot domain may include a hotspot grid, i.e., each hotspot grid is defined as a hotspot domain.
In other embodiments, the hotspot domain contains at least 2 adjacent hotspot grids.
The adjacent hotspot grids refer to those hotspot grids determined in step S133, and some hotspot grids may be adjacent in geographic location, that is, at least one vertex of the hotspot grids is the same. These neighboring hotspot grids may be collectively considered as a hotspot domain. For example, grid 1 is adjacent to grid 2, and grid 2 is adjacent to grid 3, so that grid 1, grid 2, and grid 3 are collectively considered a hot spot domain.
According to the embodiment of the invention, the appointed area is rasterized, and the MR sampling points are mapped in the grids, so that the area with dense people flow can be rapidly positioned, and the optimization adjustment of the antenna is faster and more accurate.
Referring to fig. 3, in another embodiment, before step S150, the method further includes:
step S140: and determining the priority of the hot spot domain according to the number of the hot spot grids in the hot spot domain and the number of the MR sampling points in the hot spot domain.
In some embodiments, there may be multiple hot spot domains within the same cell, and one hot spot domain may belong to multiple cells. If the antenna optimization adjustment is performed for all the hot spot domains in the same cell, the antenna optimization adjustment performed later on the base station to which the cell belongs may affect the antenna optimization adjustment performed earlier. Therefore, under the condition of a plurality of hot spot domains in the same cell, antenna optimization adjustment is only needed for the hot spot domain with the highest priority in the cell, and the cell does not perform antenna optimization adjustment for other hot spot domains with lower priorities in the cell. The hotspot domains with lower priorities can also belong to other cells, and antennas of base stations to which the cells belong can be optimally adjusted for the hotspot domains with lower priorities.
In some embodiments, the manner in which the priorities of the hotspot domains are determined may be: calculating the number of the hot spot grids in each hot spot domain in a designated area; and comparing the number of the hot spot grids in each hot spot domain, and determining the hot spot domains with the larger number of the hot spot grids as the hot spot domains with higher priorities. Wherein, because the size of each hotspot grid is the same, if the number of the hotspot grids in the hotspot domain is larger, the geographical range is the widest, and the more the designated area is occupied. Because the optimization adjustment of the antenna is performed on the previous hot spot domain, the optimization result of the hot spot domain which is performed with the optimization adjustment of the antenna may be affected, the optimization adjustment of the antenna is performed on the hot spot domain with a large number of hot spot grids, so that a good antenna optimization result of most areas of the designated area can be ensured.
In other embodiments, when the number of hotspot grids in a part of the hotspot domains is the same, the determining the priority of the hotspot domains further includes: calculating the number of the hot spot grids in each hot spot domain; comparing the number of the hot spot grids in each hot spot domain, and respectively counting the number of MR sampling points in each hot spot domain when the number of the hot spot grids in each hot spot domain is the same; comparing the number of the MR sampling points of the plurality of the hot spot domains, and determining the hot spot domains with more number of the MR sampling points as the hot spot domains with higher priorities. Priority is to consider the user's intensity in addition to the size of the range. The more total MR sample points, the more densely the user is accounted for. The higher the user density is, the higher the priority of the hot spot domain is, so that most users in the appointed area can be guaranteed to have better antenna optimization results.
It will be appreciated that: the determination of the priority of the hot spot domain is not limited to the above-described manner, but may be other manners, and will not be described herein.
According to the embodiment of the invention, the sequence of the hot spot domain processing is determined by calculating the number of the hot spot grids and the MR sampling points in the hot spot domain, so that the hot spot domain with the widest range and the denser people flow is preferentially processed, and the optimization effect of the whole designated area is improved more quickly and better.
There are various implementations of the step S131, and fig. 4 is a flowchart illustrating the substeps of dividing the grid in the specified area according to the embodiment of the present invention. As shown in fig. 4, in some embodiments, the implementation manner of dividing the grid in the specified area is specifically:
step S1311: dividing the designated area into a plurality of sub-areas.
In this step, the division of the subareas is mainly based on the geographic location of the designated area, such as a business center, community, school, and the like. And a sub-area typically comprises a plurality of cells.
Step S1312: and calculating the traffic of each subarea according to the traffic statistical data.
The service statistical data is a network telephone traffic statistical file and is used for representing the running condition of the network, and specifically comprises the flow and telephone traffic of all users in 30 minutes of each cell. The traffic refers to wireless utilization, i.e. the utilization of the base station. The radio utilization rate may be a maximum value among an uplink utilization rate PUSCH, a downlink utilization rate PDSCH, and a downlink utilization rate PDCCH of the sub-region. The uplink utilization rate PUSCH, the downlink utilization rate PDSCH and the downlink utilization rate PDCCH are obtained by summing traffic statistical data with the granularity of 30 minutes recently of all cells in the statistical sub-area.
Step S1313: and selecting a target area from each subarea according to the traffic.
The traffic reflects the utilization of the base station, and the larger the traffic, the larger the communication burden of the base station in the subarea. Therefore, the sub-area with large traffic should be used as a target area requiring antenna optimization adjustment to improve the communication condition of the target area.
In some embodiments, the selecting a target area in each sub-area according to the traffic is specifically: calculating the difference between the traffic of the subarea and the previous traffic; and when the difference value is larger than a second preset threshold value and the traffic volume of the subarea is larger than a third preset threshold value, determining the subarea as the target area.
If the difference is too large, the traffic of the subarea is greatly increased compared with the historical same time period, the communication burden of the base stations in the subarea is suddenly increased, and the antennas of the base stations in the subarea may need to be optimally adjusted. However, if the historical traffic is small, the traffic in the sub-area is still small, although it increases much, in which case there is no need to optimally adjust the antennas of the base stations in the sub-area.
In other embodiments, the selecting a target area from each of the sub-areas according to the traffic is specifically: and when the traffic volume of the subarea is larger than a fourth preset threshold value, determining the subarea as the target area.
And the situation that the traffic volume of the subarea is greatly increased compared with the traffic volume of the subarea in the historical period is not considered, and whether the traffic volume of the subarea at present reaches the degree that the antenna optimization adjustment is required is only judged.
It should be noted that: the second preset threshold, the third preset threshold and the fourth preset threshold may be determined according to antenna performance of the base station in the sub-area.
Step S1314: dividing the grid within the target area.
The traffic is low for sub-areas other than the target area, so the communication load of the base station therein is not great, and antenna optimization may not be required. At the same time, MR sampling points in these non-target regions may not be calculated. Therefore, only the target area needs to be subjected to the process of dividing the grid as described in step S131.
The embodiment of the invention screens the appointed area through the service statistical data in the user information, selects the target area with larger service volume, and then only performs the grid dividing treatment on the target area. By the method, time for antenna optimization is saved, the calculated amount of MR sampling points is reduced, and adverse effects of excessive antenna adjustment on a network in a designated area are avoided.
There are various implementations of the step S150, and fig. 5 is a flowchart illustrating the substeps of adjusting the antenna of the base station covering the hot spot domain according to the embodiment of the present invention. In some embodiments, as shown in fig. 5, one implementation of adjusting the antenna of the base station covering the hot spot domain is specifically:
step S151: and screening out the main coverage cells of the hot spot domain.
As described above, a hot spot domain may be covered by a plurality of cells, but some of the cells may have a small coverage area of the hot spot domain, and the coverage quality and the coverage area of the hot spot domain are not affected by the optimization adjustment of the antennas of the base stations to which the cells belong, so that the optimization adjustment is only required for the antennas of the base stations to which the main coverage cell of the hot spot domain belongs. While the primary coverage cell may be determined by the duty cycle of the MR sample points within the cell throughout the hot spot domain. In addition, this primary coverage cell may also be primary coverage cells of other hot spot domains, so that these primary coverage cells may have already performed antenna optimization adjustments when processing other hot spot domains, and if the antenna settings of the base stations to which these primary coverage cells belong are again adjusted for the present hot spot domain, they may destroy the antenna optimization adjustments that they perform when processing other hot spot domains. Therefore, among these primary coverage cells, cells that have been optimally adjusted in the previous hot spot domain processing are also eliminated. Only the remaining primary coverage cells are optimally adjusted. Of course, if all the primary coverage cells have been optimally adjusted, the present hot spot domain may not be processed.
It should be noted that: the order of the hot spot domain processes may be ordered according to the priorities of the hot spot domains determined in step S136. Because, the first processed hotspot domain may affect the primary coverage cell of the post-processed hotspot domain, the primary coverage cell of the post-processed hotspot domain may be eliminated. Higher priority hot spot domains should be handled first to avoid most of their primary coverage cells being rejected, resulting in poor final antenna optimization. And the hot spot areas with lower priority, namely areas with small range and insufficient people flow, can not cause larger influence on the antenna optimization effect of the whole appointed area even if the final antenna optimization effect is very good.
It will be appreciated that: the acquisition manner of the primary coverage cell is not limited to the above description, but may be other manners, which are not repeated here.
Step S152: and acquiring data information of an antenna of the base station to which the main coverage cell belongs.
The base station information in step S110 includes the data information of the antennas of all the base stations, and thus the data information of the antennas of the base station to which the primary coverage cell belongs can be selected from among the data information. Wherein the data information of the antenna includes the position information of the antenna, the mechanical downtilt angle of the antenna, and the like.
Step S153: and calculating the central point of the hot spot domain.
The center point of the hotspot domain may be calculated by the vertices of each hotspot grid in the hotspot domain. Longitude p= (a1+a2+a3+ … +an)/n of the center point of the hot spot domain, where a is the longitude of each grid vertex; latitude q= (b1+b2+b3+ … +bn)/n of the center point of the hot spot domain, where b is the latitude of each grid vertex.
Step S154: and calculating the target electronic downtilt angle of the antenna of the base station to which the main coverage cell belongs according to the data information of the central point and the antenna.
As shown in fig. 6, Q is the position of the antenna, QO is the vertical distance between the antenna and the hot spot domain, and M is the center point of the hot spot domain. The length of QO and OM can also be determined according to the longitude and latitude of the M point and the geographic position of the Q point, so that the angle OMQ can be calculated. And the target electronic downtilt = -OMQ-the mechanical downtilt of the antenna. Wherein the mechanical downtilt of the antenna may be obtained in step S152.
Step S155: and adjusting the electronic downtilt angle of the antenna of the base station to which the main coverage cell belongs to be a target electronic downtilt angle.
In the main coverage cells, some antennas of the main coverage cells may not completely cover the hot spot domain, but by adjusting the electronic downtilt angles of the antennas to the target electronic downtilt angles, the coverage directions of the antennas can be oriented to the center point of the hot spot domain, so that the hot spot domain can be completely covered, and the coverage quality of the hot spot domain is improved. Wherein the target electronic downtilt angles of the antennas of different main coverage cells are calculated according to the geographic positions of the antennas respectively. Of course, the target electronic downtilt angle of these antennas also meets the minimum threshold set by the electronic downtilt angle, otherwise, the electronic downtilt angle cannot be adjusted.
According to the embodiment of the invention, the coverage quality and the coverage range of the hot spot domain are increased by adjusting the electronic downtilt angle of the antenna in the cell covering the hot spot domain, so that the communication of the people stream dense region is optimized.
In other embodiments, the antennas in the cell may be Massive MIMO antennas. For Massive MIMO antennas, the beam settings thereof may also be adjusted. Thus, with continued reference to fig. 5, another implementation of adjusting an antenna of a base station covering a hot spot domain further includes adjusting a beam setting of the antenna, specifically:
step S156: and calculating the horizontal beam width and the vertical beam width according to the data information of the antenna and the geographic position of the hot spot domain.
Referring to fig. 7, as shown in fig. 7, Q is the geographic position of the antenna in the primary coverage cell, QO is the vertical distance between the antenna and the hot spot domain, N is the nearest point between the hot spot domain and Q, and F is the farthest point between the hot spot domain and Q, then the vertical beam width= FQO- & lt NQO.
The calculation manner of the horizontal beam width may refer to fig. 8, as shown in fig. 8, Q is the geographic position of the antenna in the primary coverage cell, QO is the vertical distance between the antenna and the hot spot domain, OT is the ray led out in the primary radiation direction opposite to the antenna in the primary coverage cell, L is one vertex of the hot spot domain, so that the angle of the +_lot is the largest, that is, the angles formed by other vertices of the hot spot domain and OT are smaller than the angle LOT. Horizontal beamwidth = 2 × LOT.
Step S157: the beam setting of the antenna is adjusted according to the horizontal beam width and the vertical beam width.
The following 7 beam setting modes are specifically shown in table 2.
TABLE 2
When the beam setting scheme is selected, the horizontal scanning range is more than or equal to the horizontal beam width, and the vertical scanning range is more than or equal to the vertical beam width, so that the hot spot area can be completely covered. At the same time, it is also ensured that (horizontal scanning range-horizontal beam width + vertical scanning range-vertical beam width) is minimum, thereby ensuring that the beam gain is sufficiently large. For example, if the calculated horizontal beam width is 64 ° and the vertical beam width is 8 °, then the scene 6 configuration is selected; the horizontal beam width is 91 °, the vertical beam width is 5 °, and the scene 1 configuration is selected.
It should be noted that: in this embodiment, the steps of adjusting the beam setting and adjusting the electronic downtilt angle are not sequential, and the steps of adjusting the beam setting and adjusting the electronic downtilt angle may be performed first, or the steps of step S156 and step S157 may be performed first, and then the steps of step S153 to step S155 may be performed, or alternatively, the steps of adjusting the beam setting and adjusting the electronic downtilt angle may be performed simultaneously.
Compared with the embodiment, the method and the device have the advantages that the adjustment of the antenna beam setting is increased, so that the method and the device can be applied to the Massive MIMO antenna, and the applicability of the method and the device is improved. In addition, through adjusting the antenna beam setting, the coverage area of the antenna can cover the hot spot domain, and meanwhile, the high beam gain is realized, so that the coverage quality of the hot spot domain is further improved.
Fig. 9 is a schematic structural diagram of an antenna adjustment device according to an embodiment of the present invention. As shown in fig. 9, the antenna adjustment device 100 includes an acquisition module 10, a first determination module 20, and an adjustment module 30.
An acquisition module 10, configured to acquire user information and base station information in a specified area; a first determining module 20, configured to determine a hotspot domain according to the user information and the base station information; and the adjusting module 30 is used for adjusting the antenna of the base station covering the hot spot domain.
In an alternative manner, the user information includes MR data, the base station information includes latitude and longitude information of a base station, and the first determining module 20 includes a dividing unit 21, a first calculating unit 22, a first determining subunit 23, and a second determining subunit 24.
A dividing unit 21 for dividing a grid within the specified area; a first calculating unit 22, configured to calculate the number of MR sampling points in each grid according to the MR data and longitude and latitude information of the base station; a first determining subunit 23, configured to determine that the grid is a hotspot grid when the number of MR sampling points in the grid is greater than a first preset threshold; a second determining subunit 24 is configured to determine an area containing the grid as the hotspot domain.
In an alternative way, the hotspot domain comprises a hotspot grid; alternatively, the hotspot domain contains at least 2 adjacent hotspot grids.
In an alternative manner, the antenna adjustment device 100 further includes a second determining module 40, configured to determine the priority of the hot spot domain according to the number of the hot spot grids in the hot spot domain and the number of the MR sampling points in the hot spot domain.
In an alternative manner, the second determining module 40 specifically includes: the method comprises the steps of calculating the number of the hot spot grids in each hot spot domain in a designated area; and comparing the number of the hot spot grids in each hot spot domain, and determining the hot spot domains with the larger number of the hot spot grids as the hot spot domains with higher priorities.
In an alternative manner, the second determining module 40 further includes: for calculating the number of said hotspot grids within each of said hotspot domains; comparing the number of the hot spot grids in each hot spot domain, and respectively counting the number of MR sampling points in each hot spot domain when the number of the hot spot grids in each hot spot domain is the same; comparing the number of the MR sampling points of the plurality of the hot spot domains, and determining the hot spot domains with more number of the MR sampling points as the hot spot domains with higher priorities. .
In an alternative manner, the adjustment module 30 includes a screening unit 31, an acquisition subunit 32, a second calculation unit 33, a third calculation unit 34, and a first adjustment unit 35.
A screening unit 31, configured to screen out a primary coverage cell of the hot spot domain; an acquisition subunit 32, configured to acquire data information of an antenna of a base station to which the primary coverage cell belongs; a second calculating unit 33, configured to calculate a center point of the hot spot domain; a third calculation unit 34, configured to calculate, according to the data information of the center point and the antenna, a target electronic downtilt angle of the antenna of the base station to which the primary coverage cell belongs; a first adjusting unit 35, configured to adjust an electronic downtilt angle of an antenna of a base station to which the primary coverage cell belongs to a target electronic downtilt angle.
In an alternative, the adjustment module 30 further comprises a fourth calculation unit 36 and a second adjustment unit 37.
A fourth calculation unit 36, configured to calculate a horizontal beam width and a vertical beam width according to the data information of the antenna and the geographic location of the hot spot domain; a second adjusting unit 37 for adjusting the beam setting of the antenna according to the horizontal beam width and the vertical beam width.
In the embodiment of the invention, the acquisition module 10 acquires the user information and the base station information in the designated area, and the first determination module 20 calculates the hot spot area in the acquired designated area, namely the user dense area. And then only the antennas of the base stations covering the hot spot domain are optimally adjusted. By the method, areas with less people flow are filtered, so that the antenna optimization adjustment is more efficient and quick. In addition, when people flow migrates, the user information is updated, so that the hot spot domain is changed, and the antenna optimization adjustment is more timely.
The embodiment of the invention provides an executable program, which can execute the antenna adjustment method in any of the method embodiments.
Embodiments of the present invention provide a non-volatile computer storage medium storing at least one executable instruction that may perform the antenna adjustment method of any of the above-described method embodiments.
The executable instructions may be particularly useful for causing a processor to:
acquiring user information and base station information in a designated area;
determining a hot spot domain according to the user information and the base station information;
And adjusting the antenna of the base station covering the hot spot domain.
In an alternative, the executable instructions may be further operable to cause the processor to:
dividing a grid in the designated area;
calculating the number of MR sampling points in each grid according to the MR data and longitude and latitude information of the base station;
when the number of MR sampling points in the grid is larger than a first preset threshold value, determining the grid as a hot spot grid;
the area containing the grid is determined as the hot spot domain.
In an alternative, the executable instructions may be further operable to cause the processor to:
and determining the priority of the hot spot domain according to the number of the hot spot grids in the hot spot domain and the number of the MR sampling points in the hot spot domain.
In an alternative, the executable instructions may be further operable to cause the processor to:
calculating the number of the hot spot grids in each hot spot domain in a designated area;
and comparing the number of the hot spot grids in each hot spot domain, and determining the hot spot domains with the larger number of the hot spot grids as the hot spot domains with higher priorities.
In an alternative, the executable instructions may be further operable to cause the processor to:
calculating the number of the hot spot grids in each hot spot domain;
comparing the number of the hot spot grids in each hot spot domain, and respectively counting the number of MR sampling points in each hot spot domain when the number of the hot spot grids in each hot spot domain is the same;
comparing the number of the MR sampling points of the plurality of the hot spot domains, and determining the hot spot domains with more number of the MR sampling points as the hot spot domains with higher priorities.
In an alternative, the executable instructions may be further operable to cause the processor to:
screening out a main coverage cell of the hot spot domain;
acquiring data information of an antenna of a base station to which the main coverage cell belongs;
calculating the central point of the hot spot domain;
calculating a target electronic downtilt angle of an antenna of a base station to which the main coverage cell belongs according to the data information of the central point and the antenna;
and adjusting the electronic downtilt angle of the antenna of the base station to which the main coverage cell belongs to be a target electronic downtilt angle.
In an alternative, the executable instructions may be further operable to cause the processor to:
Calculating horizontal beam width and vertical beam width according to the data information of the antenna and the geographic position of the hot spot domain;
the beam setting of the antenna is adjusted according to the horizontal beam width and the vertical beam width.
Fig. 10 is a schematic structural diagram of an antenna adjustment device according to an embodiment of the present invention, and the specific embodiment of the present invention is not limited to the specific implementation of the antenna adjustment device.
As shown in fig. 10, the antenna adjustment apparatus may include: a processor 202, a communication interface (Communications Interface) 204, a memory 206, and a communication bus 208.
Wherein: processor 202, communication interface 204, and memory 206 communicate with each other via communication bus 208. A communication interface 204 for communicating with network elements of other devices, such as clients or other servers. The processor 202 is configured to execute the program 210, and may specifically perform relevant steps in the above-described antenna adjustment method embodiment.
In particular, program 210 may include program code including computer-operating instructions.
The processor 202 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors comprised by the antenna adjustment device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
A memory 206 for storing a program 210. The memory 206 may comprise high-speed RAM memory or may further comprise non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 210 may be specifically operable to cause the processor 202 to:
acquiring user information and base station information in a designated area;
determining a hot spot domain according to the user information and the base station information;
and adjusting the antenna of the base station covering the hot spot domain.
In an alternative, the program 210 may be specifically further configured to cause the processor 202 to:
dividing a grid in the designated area;
calculating the number of MR sampling points in each grid according to the MR data and longitude and latitude information of the base station;
when the number of MR sampling points in the grid is larger than a first preset threshold value, determining the grid as a hot spot grid;
the area containing the grid is determined as the hot spot domain.
In an alternative, the program 210 may be specifically further configured to cause the processor 202 to:
and determining the priority of the hot spot domain according to the number of the hot spot grids in the hot spot domain and the number of the MR sampling points in the hot spot domain.
In an alternative, the program 210 may be specifically further configured to cause the processor 202 to:
calculating the number of the hot spot grids in each hot spot domain in a designated area;
and comparing the number of the hot spot grids in each hot spot domain, and determining the hot spot domains with the larger number of the hot spot grids as the hot spot domains with higher priorities.
In an alternative, the program 210 may be specifically further configured to cause the processor 202 to:
calculating the number of the hot spot grids in each hot spot domain;
comparing the number of the hot spot grids in each hot spot domain, and respectively counting the number of MR sampling points in each hot spot domain when the number of the hot spot grids in each hot spot domain is the same;
comparing the number of the MR sampling points of the plurality of the hot spot domains, and determining the hot spot domains with more number of the MR sampling points as the hot spot domains with higher priorities.
In an alternative, the program 210 may be specifically further configured to cause the processor 202 to:
screening out a main coverage cell of the hot spot domain;
acquiring data information of an antenna of a base station to which the main coverage cell belongs;
Calculating the central point of the hot spot domain;
calculating a target electronic downtilt angle of an antenna of a base station to which the main coverage cell belongs according to the data information of the central point and the antenna;
and adjusting the electronic downtilt angle of the antenna of the base station to which the main coverage cell belongs to be a target electronic downtilt angle.
In an alternative, the program 210 may be specifically further configured to cause the processor 202 to:
calculating horizontal beam width and vertical beam width according to the data information of the antenna and the geographic position of the hot spot domain;
the beam setting of the antenna is adjusted according to the horizontal beam width and the vertical beam width.
According to the embodiment of the invention, the hot spot area in the appointed area, namely the user dense area, is calculated by acquiring the user information and the base station information in the appointed area. And then only the antennas of the base stations covering the hot spot domain are optimally adjusted. By the method, areas with less people flow are filtered, so that the antenna optimization adjustment is more efficient and quick. In addition, when people flow migrates, the user information is updated, so that the hot spot domain is changed, and the antenna optimization adjustment is more timely.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.
Claims (8)
1. An antenna adjustment method, comprising:
acquiring user information and base station information in a designated area; the appointed area refers to an area with frequent people stream migration; the user information refers to MR data and business statistics data of a user; the base station information comprises configuration data of a base station and an antenna thereof; the service statistical data is a network telephone traffic statistical file and is used for representing the running condition of a network;
According to the user information and the base station information, determining a hot spot domain comprises: dividing the designated area into a plurality of sub-areas; calculating the traffic of each subarea according to the traffic statistics data; selecting a target area from each sub-area according to the traffic; dividing a grid in the target area; projecting MR sampling points into grids on a GIS map, calculating the number of the MR sampling points in each grid, and judging whether the number of the MR sampling points in the grid is larger than a first preset threshold value or not; if yes, determining the grid as a hot spot grid;
determining the priority of the hot spot domain according to the number of the hot spot grids in the hot spot domain and the number of the MR sampling points in the hot spot domain comprises: calculating the number of the hot spot grids in each hot spot domain; comparing the number of the hot spot grids in each hot spot domain, and respectively counting the number of MR sampling points in each hot spot domain when the number of the hot spot grids in each hot spot domain is the same; comparing the number of the MR sampling points of the plurality of the hot spot domains, and determining the hot spot domains with more number of the MR sampling points as the hot spot domains with higher priority;
Adjusting the antennas of the base stations covering the hot spot domain according to the priority of the hot spot domain, including: and performing antenna optimization adjustment only for the hot spot domain with the highest priority in the cell.
2. The method of claim 1, wherein the user information comprises MR data, the base station information comprises latitude and longitude information of a base station, and the hotspot domain is determined according to the user information and the base station information, specifically:
dividing a grid in the designated area;
calculating the number of MR sampling points in each grid according to the MR data and longitude and latitude information of the base station;
when the number of MR sampling points in the grid is larger than a first preset threshold value, determining the grid as a hot spot grid;
the area containing the grid is determined as the hot spot domain.
3. The method of claim 2, wherein the hotspot domain comprises a hotspot grid; or alternatively, the process may be performed,
the hot spot domain contains at least 2 adjacent hot spot grids.
4. A method according to any of claims 1-3, characterized in that the adjustment of the antennas of the base station covering the hot spot domain is performed, in particular:
Screening out a main coverage cell of the hot spot domain;
acquiring data information of an antenna of a base station to which the main coverage cell belongs;
calculating the central point of the hot spot domain;
calculating a target electronic downtilt angle of an antenna of a base station to which the main coverage cell belongs according to the data information of the central point and the antenna;
and adjusting the electronic downtilt angle of the antenna of the base station to which the main coverage cell belongs to be a target electronic downtilt angle.
5. The method of claim 4, wherein said adjusting the antennas of the base stations covering the hotspot domain further comprises:
calculating horizontal beam width and vertical beam width according to the data information of the antenna and the geographic position of the hot spot domain;
and adjusting the beam setting of the antenna according to the horizontal beam width and the vertical beam width.
6. An antenna adjustment device, comprising:
the acquisition module is used for acquiring user information and base station information in a designated area; the appointed area refers to an area with frequent people stream migration; the user information refers to MR data and business statistics data of a user; the base station information comprises configuration data of a base station and an antenna thereof; the service statistical data is a network telephone traffic statistical file and is used for representing the running condition of a network;
The first determining module is configured to determine a hotspot domain according to the user information and the base station information, and includes: dividing the designated area into a plurality of sub-areas; calculating the traffic of each subarea according to the traffic statistics data; selecting a target area from each sub-area according to the traffic; dividing a grid in the target area; projecting MR sampling points into grids on a GIS map, calculating the number of the MR sampling points in each grid, and judging whether the number of the MR sampling points in the grid is larger than a first preset threshold value or not; if yes, determining the grid as a hot spot grid;
an adjustment module, configured to determine a priority of the hot spot domain according to the number of hot spot grids in the hot spot domain and the number of MR sampling points in the hot spot domain, including: calculating the number of the hot spot grids in each hot spot domain; comparing the number of the hot spot grids in each hot spot domain, and respectively counting the number of MR sampling points in each hot spot domain when the number of the hot spot grids in each hot spot domain is the same; comparing the number of the MR sampling points of the plurality of the hot spot domains, and determining the hot spot domains with more number of the MR sampling points as the hot spot domains with higher priority; adjusting the antennas of the base stations covering the hot spot domain according to the priority of the hot spot domain, including: and performing antenna optimization adjustment only for the hot spot domain with the highest priority in the cell.
7. An antenna adjustment apparatus, characterized by comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to perform the antenna adjustment method according to any one of claims 1-5.
8. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform the antenna adjustment method of any one of claims 1-5.
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