基于遗传算法的基站布局优化

O. M. Amine, A. Khireddine
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引用次数: 6

摘要

基站(BS)的放置,或规划小区问题,涉及到为小区网络选择位置和基础设施配置。这个问题被认为是一个数学优化问题,并将在我们的研究中使用遗传算法进行优化。将场地坐标(x, y)、发射功率、高度、倾角等参数作为BS放置的设计参数。本文以信号覆盖、干扰和成本为目标函数,以切换、流量需求和重叠为重要约束条件。所有项目的接收场强测试服务使用模拟计算,路径损耗使用Hata模型计算。假设考虑平坦区域,当网络中97%的用户被优质信号覆盖时,对所提出算法的性能进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Base station placement optimisation using genetic algorithms approach
The base station (BS) placement, or planning cell problem, involves choosing the position and infrastructure configuration for cellular networks. This problem is considered to be a mathematical optimisation problem and will be optimised in our study using genetic algorithms. The various parameters such as site coordinates (x, y), transmitting power, height and tilt are taken as design parameters for BS placement. This paper takes signal coverage, interference and cost as objective functions and handover, traffic demand and overlap as a very important constraint. Receiving field strength testing services for all items is calculated using simulations and path loss is calculated using Hata model. Assuming that a flat area is considered, the performance of the proposed algorithm was evaluated with 97% of the users in the network being covered with a good quality signal.
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