Fast generation method for wireless cell coverage distribution

Abstract

The invention belongs to a fast generation method for wireless cell coverage distribution in the field of mobile communication. The method is realized through the following steps: collecting effective base-station information; collecting target-boundary information; analyzing and filtering the collected information so as to determine effective base stations and wireless cells; estimating the regional coverage of each wireless cell, finishing and outputting the estimated regional coverage of each wireless cell in a coordinate mode; calculating the coverage adjacency relation between each wireless cell and the surrounding wireless cells thereof according to the estimated regional coverage of each wireless cell, and generating an adjacency matrix of base-station adjacency relation; adopting smoothing algorithm to accurately calculate the coverage boundaries of the wireless cells; and generating a wireless-cell closed coverage boundary with continuous coordinate points taking latitude and longitude as a unit. The method is simple to realize, can fast and effectively generate multilevel actual coverage-distribution fitting graphs of wireless cells, base stations, base-station controllers and mobile switches, and can be widely applied to GIS application analysis, mobile network optimization and other fields.

Description

Technical field [0001] The invention belongs to the field of mobile communication, in particular to a method for quickly generating coverage distribution of wireless cells. Background technique [0002] In the fierce mobile communication market competition environment, mobile operators need to timely and effectively grasp information such as communication networks and markets and make corresponding analysis, judgments and decisions based on this information. Since mobile communication has a significant correlation with regional characteristics, how to deeply mine the regional related information of various operations, operation and maintenance data provided in mobile operations and network management systems is an urgent problem for major operators to solve, especially How to analyze the existing base station and geographic area boundary information, generate the actual coverage distribution data of the wireless cell, reasonably analyze and solve the existing network problems and...

AI Technical Summary

Problems solved by technology

[0004] Due to the complexity of calculating the actual coverage area of ​​wireless cells, as well as the characteristics of wide distribution, high density, and large calculation scale of base stations of various mobile operators, the existing calculation methods for actual coverage distribution of wireless cells mainly use cellular model fitting method or Thailand Sen polygon method: The cellular model fitting method is to use a certain proportion of the cellular hexagonal grid to cover the range of a specific geographical area, and fit the base stations in the area to the model grid, such as Figure 5 As shown, although this method realizes the simulation of base station coverage distribution on the surface, in fact, because the actual base station distribution is based on the cell and the base station distribution is irregular, the coverage distribution simulation is quite different from the actual situation. In addition to showing the distribution of the cellular model schematically, it has no practical value for real data analysis and cannot reflect the coverage distribution of base stations and cells; the Thiessen polygon rule is based on the Delaunay triangle network by connecting A continuous polygon formed by the perpendicular bisector of two adjacent straight lines, such as Image 6 As shown, although this method can better solve the problem of space division from the mathematical model, it still has the following defects: 1. Since the method theoretically requires the range of the point set to be a convex area, the distribution of the actual base station is usually Concave area, so using this method may produce illegal triangles, and to overcome this problem requires complex follow-up processing of the results; 2. This method cannot be used to process discontinuous areas at one time, but in actual situations In , discontinuous areas often occur (such as islands, etc.), in this case, using this method will be more complicated and need to be processed separately; 3. Using this method cannot directly and effectively deal with large holes in the segmented area Situations, such as: the relationship between a province and a municipality, usually the province encircles the municipality. At this time, using this method still needs a lot of follow-up processing to overcome this problem; The weighted division or the division affected by the parameters of the base station is not considered, so the actual result is far from the real situation; 5. The time complexity of the method will increase with the increase of the number of base stations and the complexity of the boundary. Series growth, when the network scale is large, the efficiency is not very understandable; 6. Due to the limitation of the method itself, the calculation results are all convex polygon areas, so the effect of concave polygons cannot be fitted

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