CN-115776719-B - Method, device, storage medium and computer equipment for locating cross-zone coverage cell

CN115776719BCN 115776719 BCN115776719 BCN 115776719BCN-115776719-B

Abstract

The embodiment of the invention provides a method, a device, a storage medium and computer equipment for locating a coverage cell. The method comprises the steps of constructing a data matrix according to an acquired sampling point identifier, a main service cell identifier, main service cell time advance TA information and main service cell antenna arrival angle AOA information, generating a TA distribution curve according to the data matrix, calculating the TA distribution curve through a differential vector calculation method to generate a cross-region coverage distance interval, selecting sampling points of the cross-region coverage distance interval according to the data matrix, calculating the sampling points through a clustering algorithm DBSCAN to generate a cross-region coverage area, and determining the cross-region coverage cell according to acquired macro station information and the cross-region coverage area. According to the technical scheme provided by the embodiment of the invention, the coverage area can be determined based on the TA distribution curve, and the accuracy of locating the coverage area is improved.

Inventors

ZHAO YANHANG
ZHAO ZEBAI
FENG BO
ZHOU YANG
LIU CHANGXING
ZHANG ZHENYI
ZHU YUAN

Assignees

中国移动通信集团吉林有限公司
中国移动通信集团有限公司

Dates

Publication Date: 20260505
Application Date: 20210907

Claims (10)

1. A method of locating a coverage area comprising: constructing a data matrix according to the acquired sampling point identification, the main service cell time advance TA information and the main service cell antenna arrival angle AOA information; generating a TA distribution curve according to the data matrix; calculating the TA distribution curve through a differential vector calculation method to generate a cross-region coverage distance interval; Selecting sampling points of the cross-region coverage distance interval according to the data matrix; calculating the sampling points through a clustering algorithm DBSCAN to generate a cross-region coverage area; and determining a cross-zone coverage cell according to the acquired macro station information and the cross-zone coverage area.
2. The method of claim 1 wherein said calculating said TA profile by a differential vector calculation method to generate a coverage distance interval comprises: calculating the TA distribution curve through a differential vector calculation method to generate a peak value position; Generating a secondary peak position according to the peak position; and generating a cross-region coverage distance interval according to the secondary peak position.
3. The method of claim 2, wherein the calculating the TA profile by a differential vector calculation method to generate peak bits comprises: Generating a first differential vector according to the number of sampling points of the acquired ith TA section; generating a second differential vector according to the first differential vector; generating a third differential vector according to the second differential vector; judging whether the third differential vector is a set value or not; And if the third differential vector is judged to be a set value, determining the peak value bit corresponding to the number of sampling points in the (i+1) th TA section as the peak value bit.
4. The method of claim 2, wherein generating secondary peak bits from the peak bits comprises: Calculating the peak position through a differential vector calculation method to generate a TA sampling point duty ratio; judging whether the TA sampling point duty ratio is the second largest and is larger than a set multiple of the largest TA sampling point duty ratio; And if the TA sampling point duty ratio is judged to be the second largest and is larger than the set multiple of the largest TA sampling point duty ratio, determining the peak position of the TA sampling point duty ratio which is the second largest and is larger than the set multiple of the largest TA sampling point duty ratio as the secondary peak position.
5. The method of claim 3, wherein generating the first differential vector based on the number of samples of the acquired ith TA interval comprises: Calculating the number of sampling points of the ith TA interval by a formula Diff v (i) =v (i+1) -V (i), i e1, 2, 3..n-1, and generating a first differential vector, wherein i represents the ith TA interval, V (i) represents the number of sampling points of the ith TA interval, and Diff v (i) is the first differential vector.
6. A method according to claim 3, wherein said generating a second differential vector from said first differential vector comprises: calculating the first differential vector by the following formula to generate a second differential vector: Trend=sign(Diff v ); trend (i) =1 if Trend (i) =0 and Trend (i+1) > 0; trend (i) = -1 if Trend (i) = 0 and Trend (i+1) < 0; Wherein Diff v (i) is the first differential vector and Trend is the second differential vector.
7. A method according to claim 3, wherein said generating a third differential vector from said second differential vector comprises: calculating the second differential vector through a formula r=diff (Trend) =trend (i+1) -Trend (i), and generating a third differential vector, wherein Trend is the second differential vector, and R is the third differential vector.
8. A positioning apparatus for a coverage area comprising: The construction module is used for constructing a data matrix according to the acquired sampling point identification, the main service cell time advance TA information and the main service cell antenna arrival angle AOA information; the first generation module is used for generating a TA distribution curve according to the data matrix; The second generation module is used for calculating the TA distribution curve through a differential vector calculation method to generate a cross-region coverage distance interval; The selecting module is used for selecting sampling points of the cross-region coverage distance interval according to the data matrix; the third generation module is used for calculating the sampling points through a clustering algorithm DBSCAN to generate a cross-region coverage area; and the determining module is used for determining a cross-zone coverage cell according to the acquired macro station information and the cross-zone coverage area.
9. A storage medium comprising a stored program, wherein the program, when run, controls a device in which the storage medium is located to perform the method of positioning a coverage cell according to any one of claims 1 to 7.
10. A computer device comprising a memory for storing information including program instructions and a processor for controlling the execution of the program instructions, characterized in that the program instructions, when loaded and executed by the processor, implement the steps of the method of positioning a coverage area according to any one of claims 1 to 7.

Description

Method, device, storage medium and computer equipment for locating cross-zone coverage cell [ Field of technology ] The present invention relates to the field of wireless communications technologies, and in particular, to a method and apparatus for locating a coverage cell, a storage medium, and a computer device. [ Background Art ] For the fourth generation mobile communication technology (the 4th generation mobile communication technology, the 4G for short) or the fifth generation mobile communication technology (the 5th generation mobile communication technology, the 5G for short) network, some base stations can cause the coverage distance of the cell to be too far due to the fact that the antenna is too high or the pitch angle is too small, so that the coverage area of the cell is covered to the site coverage area of other base stations, and the signal level received by a mobile phone in the area is good, interference can be generated with other cells, and user perception is affected. In the related art, the problem of the coverage area is difficult to find, the problem of the coverage area is usually checked by field test, but the field test is not accurate, and the main method for locating the coverage area is to comprehensively judge whether the area is the coverage area according to the average TA of the area and the inter-station distance, so that the number of the coverage area screened by the judging method is large, the error for locating the coverage area is large, and the located coverage area is very inaccurate. [ Invention ] In view of this, the embodiments of the present invention provide a method, an apparatus, a storage medium and a computer device for locating a coverage cell, so as to improve the accuracy of locating the coverage cell. In one aspect, an embodiment of the present invention provides a method for locating a coverage cell, including: constructing a data matrix according to the acquired sampling point identification, the main service cell time advance TA information and the main service cell antenna arrival angle AOA information; generating a TA distribution curve according to the data matrix; calculating the TA distribution curve through a differential vector calculation method to generate a cross-region coverage distance interval; Selecting sampling points of the cross-region coverage distance interval according to the data matrix; calculating the sampling points through a clustering algorithm DBSCAN to generate a cross-region coverage area; and determining a cross-zone coverage cell according to the acquired macro station information and the cross-zone coverage area. Optionally, the calculating the TA distribution curve by using a differential vector calculation method, to generate a coverage distance interval, includes: calculating the TA distribution curve through a differential vector calculation method to generate a peak value position; Generating a secondary peak position according to the peak position; and generating a cross-region coverage distance interval according to the secondary peak position. Optionally, the calculating the TA distribution curve by using a differential vector calculation method, generating a peak value bit includes: Generating a first differential vector according to the number of sampling points of the acquired ith TA section; generating a second differential vector according to the first differential vector; generating a third differential vector according to the second differential vector; judging whether the third differential vector is a set value or not; And if the third differential vector is judged to be a set value, determining the peak value bit corresponding to the number of sampling points in the (i+1) th TA section as the peak value bit. Optionally, the generating the secondary peak position according to the peak position includes: Calculating the peak position through a differential vector calculation method to generate a TA sampling point duty ratio; judging whether the TA sampling point duty ratio is the second largest and is larger than a set multiple of the largest TA sampling point duty ratio; And if the TA sampling point duty ratio is judged to be the second largest and is larger than the set multiple of the largest TA sampling point duty ratio, determining the peak position of the TA sampling point duty ratio which is the second largest and is larger than the set multiple of the largest TA sampling point duty ratio as the secondary peak position. Optionally, the generating a first differential vector according to the acquired number of sampling points in the ith TA interval includes: Calculating the number of sampling points of the ith TA interval by a formula Diff v (i) =v (i+1) -V (i), i e1, 2, 3..n-1, and generating a first differential vector, wherein i represents the ith TA interval, V (i) represents the number of sampling points of the ith TA interval, and Diff v (i) is the first differential vector. Optionally, the