Base station equipment planarization optimization layout method based on gridding small area principle and genetic algorithm

Abstract

The invention discloses a base station equipment planarization optimization layout method based on a gridding small area principle and a genetic algorithm. The base station equipment planarization optimization layout method proposes to divide a planar covered area by gridding, approximately calculates the coverage area by using a differential small-area principle, and at the same time optimizes the spatial distribution of base station equipment in a covered area of a plane by using a genetic algorithm, so as to solve the problems of low coverage efficiency, multiple coverage cross ranges, equipment resource waste and the like caused by mainly depending on an empirical method during equipment layout in related fields. The base station equipment planarization optimization layout method positions coordinates of a covered area through gridding division, determines possible equipment installation point coordinate positions, adopts a Monte Carlo method to simulate the area of an approximatecalculation equipment signal coverage intersection region, calculates the signal coverage area of the edge region by adopting a differential principle small-area approximation method, and optimizes the installation number and the installation position of the equipment by using a genetic algorithm, so that the optimal cost performance between the maximization of the signal coverage area of the plane area and the installation number of the equipment is realized.

Description

technical field [0001] The invention relates to the field of optimized layout of planar areas, in particular to a method for planarized and optimized 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 layout of base stations (5G base stations, panoramic camera base stations, etc.) has become more and more extensive. The traditional layout of base stations, especially indoor or park 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 crossing ranges, and waste of equipment resources. Contents of the invention [0003] In order to effectively improve the layout efficiency of base stations, reduce the proportion of coverage crossing range, improve the utilization ef...

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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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