CN117135664A - Method for measuring and calculating 5G coverage cell of specified target area - Google Patents

Method for measuring and calculating 5G coverage cell of specified target area Download PDF

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Publication number
CN117135664A
CN117135664A CN202311048848.7A CN202311048848A CN117135664A CN 117135664 A CN117135664 A CN 117135664A CN 202311048848 A CN202311048848 A CN 202311048848A CN 117135664 A CN117135664 A CN 117135664A
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target area
base station
degrees
distance
calculating
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赵林春
王炳亮
吉宝伦
李伟
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Inspur Communication Information System Co Ltd
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Inspur Communication Information System Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/06Testing, supervising or monitoring using simulated traffic
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/232Non-hierarchical techniques
    • G06F18/2321Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/003Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Data Mining & Analysis (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention relates to the technical field of communication, in particular to a method for measuring and calculating a 5G coverage cell of a specified target area, which comprises the following steps: preparing data; preprocessing data; rough distance selection; finely selecting the azimuth; screening conditions; the beneficial effects are as follows: according to the method for measuring and calculating the 5G coverage cell of the appointed target area, a rough selection-quadrant design and azimuth calculation carefully chosen model of a short-distance base station is constructed through DBSCAN density clustering pretreatment and polling calculation, and 5G coverage cell list information in the target area is output through inputting local 5G industrial parameter information and target area position information; the condition of 5G coverage cells in the target area is rapidly acquired, so that the working efficiency of operators is improved, the operation and maintenance cost is reduced, and the service capacity of the operators is comprehensively improved.

Description

Method for measuring and calculating 5G coverage cell of specified target area
Technical Field
The invention relates to the technical field of communication, in particular to a method for measuring and calculating a 5G coverage cell of a specified target area.
Background
In the current mobile communication construction situation, 5G communication is the most mainstream communication technology means, and is the core supporting force for the whole information-based social construction.
In the prior art, for operators, 5G network coverage of high-value clients is made, which is a key for improving user satisfaction and expanding economic benefits. The conventional positioning method is to import the client position into MapInfo, manually circle out the sites covering the periphery of the target by manual identification, and export all cells in the circle.
However, considering that the high-value customer units are numerous and widely distributed, it is necessary to find a convenient and effective analysis method to screen out 5G cells covering the specified targets in batches, so as to improve the working efficiency of operators, reduce the operation and maintenance cost and comprehensively improve the business capacity of the operators.
Disclosure of Invention
The invention aims to provide a method for measuring and calculating a 5G coverage cell of a specified target area, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: a method of measuring and calculating a 5G coverage cell of a specified target area, the method comprising the steps of:
preparing data;
preprocessing data;
rough distance selection;
finely selecting the azimuth;
and (5) screening conditions.
Preferably, the data preparation includes 5G engineering data, cell name, CGI, base station ID, longitude, latitude, azimuth, frequency band, scene, and longitude and latitude of specified target area data.
Preferably, when data preprocessing is performed, density clustering is performed on longitude and latitude coordinates of cells associated with each base station by using a DBSCAN, if cells associated with a certain base station are divided into two or more categories, a CRAN base station situation occurs, a new base station ID is assigned to each category of cells to perform unique marking, and the base station ID is only used in the preprocessing stage and cannot be written into a 5G data file and a return value.
Preferably, the distance roughing is based on batch calculation of the distance between the 'target-base station' pairs, and all sites covering the target are primarily screened out, including calculation amount determination and polling calculation.
Preferably, the specific operation of the polling calculation includes:
the distance between a set target and all stations of the whole network is calculated, 6 pieces of base station information with the minimum distance are screened out, the base stations selected through the distance calculation are not all applicable, a reasonable critical value is further set, stations with too far distances are removed, potential coverage base stations are screened out, and the method is realized based on research on Timing Advance distribution statistics of a 5G network.
Preferably, after the efficiency and the accuracy are weighed by researching TA historical statistical data, the distance cut-off critical value of the 5G-2.6G frequency band urban macro cell is set to be 540M, the distance cut-off critical value of the 5G-2.6G frequency band urban macro cell is set to be 1170M, the distance cut-off critical value of the 5G-700M frequency band urban macro cell is set to be 780M, the distance cut-off critical value of the 5G-700M frequency band urban macro cell is set to be TA20, and the distance cut-off critical value of the rural area urban macro cell is set to be 1950M and the distance cut-off critical value of the rural area is set to be TA50.
Preferably, during azimuth fine selection, the azimuth of the target relative to the base station is firstly digitally represented, including quadrant division and azimuth calculation.
Preferably, the specific operation of quadrant division includes:
taking the position of a base station as an origin O (lon 0, lat 0), taking the north direction as 0 degrees, taking an interval (0 degrees, 90 degrees) as a quadrant 1, (90 degrees, 180 degrees) as a quadrant 2, (180 degrees, 270 degrees) as a quadrant 3, (270 degrees, 360 degrees) as a quadrant 4, and firstly judging the quadrant where the target position is located relative to the origin O;
the azimuth calculation formula is:
where degree () is a function of converting radian to an angle value, and || is an operation of taking an absolute value, becauseThe value of (2) has positive and negative fractions, and the absolute value needs to be taken; if no absolute value is added, the angle calculated by the user originally in the third quadrant is smaller than 180 degrees, and the radius () is a function of converting the angle value into radian.
Compared with the prior art, the invention has the beneficial effects that:
according to the method for measuring and calculating the 5G coverage cell of the appointed target area, a rough selection-quadrant design and azimuth calculation carefully chosen model of a short-distance base station is constructed through DBSCAN density clustering pretreatment and polling calculation, and 5G coverage cell list information in the target area is output through inputting local 5G industrial parameter information and target area position information; the condition of 5G coverage cells in the target area is rapidly acquired, so that the working efficiency of operators is improved, the operation and maintenance cost is reduced, and the service capacity of the operators is comprehensively improved.
Drawings
FIG. 1 is a diagram of an idealized model of a macrocell networking architecture of the present invention;
FIG. 2 is a quadrant diagram of the present invention;
FIG. 3 is an azimuthal schematic of the present invention.
Detailed Description
In order to make the objects, technical solutions, and advantages of the present invention more apparent, the embodiments of the present invention will be further described in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are some, but not all, embodiments of the present invention, are intended to be illustrative only and not limiting of the embodiments of the present invention, and that all other embodiments obtained by persons of ordinary skill in the art without making any inventive effort are within the scope of the present invention.
Referring to fig. 1 to 3, the present invention provides a technical solution: a method of measuring and calculating a 5G coverage cell of a specified target area, the method comprising the steps of:
the method comprises the steps of constructing a model of 'rough selection-quadrant design of a close-range base station and carefully selecting azimuth calculation by DBSCAN density clustering pretreatment and polling calculation', and outputting 5G coverage cell list information in a target area by inputting local 5G industrial parameter information and target area position information. The method comprises the following specific steps:
data preparation:
the 5G engineering data (cell name, CGI, base station ID, longitude, latitude, azimuth, frequency band, scene) specify target area data (longitude, latitude).
Data preprocessing:
at present, a 5G base station is built in a CRAN mode, so that matched resources such as GPS (Global positioning System), transmission and the like can be shared, and the matched resources can be shared in the CRAN; the RRU side does not need to newly build a station or rent a machine room, thereby greatly reducing the number of the machine rooms and reducing the investment of matched resources. However, the problem that the 5G base stations with the same base station number ID have different longitude and latitude information is brought at the same time, and the CRAN base stations need to be preprocessed in advance.
And performing density clustering on the longitude and latitude coordinates of the cell associated with each base station by using DBSCAN. If cells associated with a certain base station are classified into two or more categories, CRAN base stations may occur. At this time, each class of cell is uniquely marked with a new base station ID (this base station ID is used only in the preprocessing stage and is not written in the 5G data file and the return value). After identifying the CRAN site and associating with the new base station ID, the identification of the potential coverage cell may be better performed later.
DBSCAN is a density-based clustering algorithm. In the process of clustering, the DBSCAN uses Euclidean distance between points as a judging condition of whether to divide the points into clusters. This is in line with the business characteristics of CRAN remote sites being relatively far from each other, so DBSCAN is selected for identification of remote sites.
Distance roughing
The roughing purpose is to initially screen out all sites that may cover the target based on a batch calculation of the "target-base station" pair spacing. The method is mainly realized by the following steps:
(1) Calculation amount determination
As is well known, the mobile communication system widely adopts a cellular networking scheme, so that the utilization rate of radio resources is greatly improved. 5G networks are no exception, and at present, the 5G networks form a more perfect wide coverage macro cellular networking architecture, and an ideal model is shown in figure 1;
the location of the client O is necessarily covered by one cell in the nearest base station A, B, C, and one or two cells are covered by the other cell, so theoretically, only 3 base stations nearest to the client location need to be calculated, such as the base station A, B, C in the example of fig. 1. However, in consideration of the fact that the real networking has a large number of influencing factors, the wireless environment is complex, and in order to avoid omission, the calculation range is expanded to 6 nearest base stations, for example, the base station D, E, F in the circle 2 is also included.
(2) Polling calculation
The batch calculation process is realized through a polling algorithm, firstly, the distances between a set target and all stations of the whole network are calculated, and then 6 pieces of base station information with the minimum distance are screened out. The base stations selected by the distance calculation are not all applicable, and reasonable critical values are further required to be set, so that stations with too far distances are removed, and potential coverage base stations are screened out. This step is implemented based on a study of 5G network TA (Timing Advance) distribution statistics.
Through researching TA historical statistical data, after efficiency and accuracy are weighed, the distance cut-off critical value of the 5G-2.6G frequency band urban macro cell is set to 546M (TA 14), the rural area is set to 1170M (TA 30), the distance cut-off critical value of the 5G-700M frequency band urban macro cell is set to 780M (TA 20), and the rural area is set to 1950M (TA 50).
Fine selection of azimuth
After the distance roughing, we make further selections by studying the coverage direction of the cell under the station and the direction of the target. At this time, the azimuth of the target relative to the base station needs to be digitally represented, and the specific steps are as follows:
(1) Quadrant division
The base station position is taken as an origin O (lon 0, lat 0), the north direction is 0 degrees, the interval (0 degrees, 90 degrees) is quadrant 1, (90 degrees, 180 degrees) is quadrant 2, (180 degrees, 270 degrees) is quadrant 3, (270 degrees, 360 degrees) is quadrant 4, and the quadrant where the target position is located relative to the origin O is judged first.
1) If the target i (lon i, lat i) satisfies lon i not less than lon0 and lat i not less than lat0, the target is considered to fall into quadrant 1, such as target A (lon 1, lat 1) in FIG. 2;
2) If the target i (lon i, lat i) satisfies lon i.gtoreq.lon 0 and lat i < lat0, then consider that the target falls into quadrant 2, such as target B (lon 2, lat 2) in FIG. 2;
3) If the target i (lon i, lat i) satisfies lon i < lon0 and lat i < lat0, then consider the target to fall into quadrant 3, such as target C (lon 3, lat 3) in FIG. 2;
4) If the target i (lon i, lat i) satisfies lon i < lon0 and lat i is not less than lat0, then the target is considered to fall into quadrant 4, as in FIG. 2, target D (lon 4, lat 4).
(2) Azimuthal angle calculation
In fig. 2, D1, D2, D3, D4 are distances from the targets a (lon 1, lat 1), B (lon 2, lat 2), C (lon 3, lat 3), D (lon 4, lat 4) to the base station O (lon 0, lat 0), and the azimuth angles θ1, θ2, θ3, and θ4 respectively represent azimuth angles of the target A, B, C, D relative to the base station O (lon 0, lat 0), and the calculation methods of the azimuth angles in different quadrants are different, and the following azimuth angle calculation formulas in quadrants 1-4 are shown as follows:
where degree () is a function of converting radian to an angle value, and || is an operation of taking an absolute value, becauseThe value of (2) has positive and negative fractions, and the absolute value is required. If no absolute value is added, the angle calculated by the user who is originally in the third quadrant will be less than 180 degrees, which is obviously not true, and radian () is a function that converts the angle value into radians.
Where k= 111195m, i.e. the longitudes on the equator (latitude is 0 °) differ by a distance of 1 °, on the latitude line where the targets a, … …, D are located, the longitudes differ by 1 °, the corresponding distances differ by k×cos (lati), i=1, 2,3,4. Where D1, D2, D3, D4 are distances from the targets A (lon 1, lat 1), B (lon 2, lat 2), C (lon 3, lat 3), D (lon 4, lat 4) to the base station O (lon 0, lat 0).
Condition screening
Considering that the effective coverage area of the 5G macro Cell in the current network is within a 10dB beam width (120 ° included angle), as shown in Cell1 in fig. 3, θ is the azimuth angle of Cell2, d is the effective coverage radius of Cell2, θi (i=1, 2, 3) is the target A, B, C azimuth angle, and di (i=1, 2, 3) is the target A, B, C and base station spacing. Judging whether the Cell2 Cell in the figure forms effective coverage for the target A, B, C, and discussing two cases of 'urban area' and 'non-urban area':
if the target a satisfies d1 d (d=546 m or 1170 m) and |θ1- θl|60 ° (or 2pi— |θ1- θl|60° for cases where θ1, θ are both close to 0 °) at the urban (or non-urban) Cell2 Cell, then it can be considered that the target a falls within the effective coverage of the Cell2 Cell. Otherwise, it is considered that the Cell2 Cell is not the target coverage Cell, e.g., the Cell2 Cell is located at targets B (d 1> d), C (|θ3- θ| >60 °).
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. A method for measuring and calculating a 5G coverage cell of a specified target area, characterized in that: the method comprises the following steps:
preparing data;
preprocessing data;
rough distance selection;
finely selecting the azimuth;
and (5) screening conditions.
2. A method for measuring and calculating 5G coverage cells of a specified target area according to claim 1, wherein: when the data is prepared, the data comprises 5G engineering parameter data, cell name, CGI, base station ID, longitude, latitude, azimuth, frequency band and scene, and the longitude and latitude of the target area data are specified.
3. A method for measuring and calculating 5G coverage cells of a specified target area according to claim 1, wherein: when data preprocessing is performed, density clustering is performed on longitude and latitude coordinates of cells associated with each base station by using DBSCAN, if cells associated with a certain base station are divided into two or more categories, a CRAN base station situation occurs, a new base station ID is assigned to each category of cells to perform unique marking, and the base station ID is only used in a preprocessing stage and cannot be written into a 5G data file and a return value.
4. A method for measuring and calculating 5G coverage cells of a specified target area according to claim 1, wherein: the distance roughing is based on batch calculation of the distance between the 'target-base station' pairs, and all sites covering the target are primarily screened out, wherein the calculation amount determination and the polling calculation are included.
5. The method for measuring and calculating 5G coverage cells of a specified target area according to claim 4, wherein: specific operations of the polling calculation include:
the distance between a set target and all stations of the whole network is calculated, 6 pieces of base station information with the minimum distance are screened out, the base stations selected through the distance calculation are not all applicable, a reasonable critical value is further set, stations with too far distances are removed, potential coverage base stations are screened out, and the method is realized based on research on Timing Advance distribution statistics of a 5G network.
6. The method for measuring and calculating 5G coverage cells of a specified target area according to claim 5, wherein: through researching TA historical statistical data, after efficiency and accuracy are weighed, the distance cut-off critical value of the 5G-2.6G frequency band urban macro cell is set to be 540M, the distance cut-off critical value of the 5G-2.6G frequency band urban macro cell is set to be 1170M, the distance cut-off critical value of the 5G-700M frequency band urban macro cell is set to be 780M, the distance cut-off critical value of the 5G-2.6G frequency band urban macro cell is set to be 100M, the distance cut-off critical value of the 5G-700M frequency band urban macro cell is set to be 750M, and the distance cut-off critical value of the rural area is set to be 1950M and the distance cut-off critical value of the urban area macro cell is set to be 50.
7. A method for measuring and calculating 5G coverage cells of a specified target area according to claim 1, wherein: during azimuth fine selection, the azimuth of the target relative to the base station is firstly digitally represented, and the method comprises quadrant division and azimuth calculation.
8. A method for measuring and calculating 5G coverage cells of a specified target area according to claim 1, wherein: the specific operations of quadrant division include:
taking the position of a base station as an origin O (lon 0, lat 0), taking the north direction as 0 degrees, taking an interval (0 degrees, 90 degrees) as a quadrant 1, (90 degrees, 180 degrees) as a quadrant 2, (180 degrees, 270 degrees) as a quadrant 3, (270 degrees, 360 degrees) as a quadrant 4, and firstly judging the quadrant where the target position is located relative to the origin O;
the azimuth calculation formula is:
where degree () is a function of converting radian to an angle value, and || is an operation of taking an absolute value, becauseThe value of (2) has positive and negative fractions, and the absolute value needs to be taken; if no absolute value is added, the angle calculated by the user originally in the third quadrant is smaller than 180 degrees, and the radius () is a function of converting the angle value into radian.
CN202311048848.7A 2023-08-21 2023-08-21 Method for measuring and calculating 5G coverage cell of specified target area Pending CN117135664A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117615387A (en) * 2023-11-30 2024-02-27 亿海蓝(北京)数据技术股份公司 Method and device for determining signal coverage of base station and electronic equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117615387A (en) * 2023-11-30 2024-02-27 亿海蓝(北京)数据技术股份公司 Method and device for determining signal coverage of base station and electronic equipment
CN117615387B (en) * 2023-11-30 2024-05-03 亿海蓝(北京)数据技术股份公司 Method and device for determining signal coverage of base station and electronic equipment

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