Optimal layout method of base station equipment planarization based on gridded small area principle and genetic algorithm

Abstract

The invention discloses a method for optimizing the plane layout of base station equipment based on the principle of gridded small area and genetic algorithm. This method proposes a method to divide the plane covered area by grid, and use the principle of differential calculus to approximate the coverage area. It solves the problems of low coverage efficiency, many overlapping coverage areas, and waste of equipment resources due to the fact that the current equipment layout in related fields mainly relies on experience methods. The proposed method locates the coordinates of the covered area by grid division, and determines the coordinates of the "possible" equipment installation points; the Monte Carlo method is used to simulate and approximate the area of ​​the intersection area covered by the equipment signal; The signal coverage area of ​​the edge area; the genetic algorithm is used to optimize the installation quantity and installation position of the equipment, so as to achieve the optimal cost performance between the maximum signal coverage area in the plane area and the installation quantity of the equipment.

Description

technical field [0001] The invention relates to the field of plane area optimization layout, in particular to a method for plane optimization layout of base station equipment based on the principle of gridded small area and genetic algorithm. Background technique [0002] In recent years, with the rapid development and continuous promotion of 5G technology, smart security and other technologies, the arrangement of base station (5G base station, panoramic camera base station, etc.) facilities has become more and more extensive. Traditionally, the layout of base stations such as indoor or campus WiFi and cameras is often planned and laid out by designers based on experience. This method has problems such as low coverage efficiency, multiple coverage crossovers, and waste of equipment resources. SUMMARY OF THE INVENTION [0003] In order to effectively improve the layout efficiency of the base station, reduce the ratio of coverage and cross-range, improve the utilization effi...

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Problems solved by technology

[0003] In order to effectively improve the layout efficiency of base stations, reduce the proportion of coverage crossing range, improve the utilization efficiency of equipment, and reduce the overall construction cost of the project, combined with the existing machine learning and computer-aided design methods, the present invention proposes a A planarized optimal layout method of base station equipment based on the principle of gridded small area and genetic algorithm to solve the problem that the equipment layout in the field of optimized layout of the planar area mainly relies on empirical methods, which leads to low coverage efficiency, large coverage crossing range, waste of equipment resources, etc. question

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