非统一服务区AP部署优化:一种遗传算法方法

Zicong Zhi, Jianghong Wu, Xin Meng, Mengqian Yao, Qian Hu, Zhenzhou Tang
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引用次数: 4

摘要

研究了无线局域网在非统一服务区中的AP部署优化问题。具体而言,本文提出了一种基于遗传算法(GA)的AP部署方案,在全覆盖约束下共同优化每个AP的位置和发射功率。与大多数现有工程不同的是,本方案充分考虑了服务区域内存在各种障碍的非统一服务区域。通过与均匀部署方案的比较,对基于遗传算法的部署方案的性能进行了充分的仿真。仿真结果表明,利用该方案可以显著降低总发射功率,同时保证期望服务区域的全覆盖。同时,该方案还可以显著降低WLAN的重叠率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AP Deployment Optimization in Non-Uniform Service Areas: A Genetic Algorithm Approach
This paper investigates the AP deployment optimization for wireless local area networks (WLANs) within non- uniform service areas. Specifically, this paper proposes a genetic algorithm (GA) based AP deployment scheme to jointly optimize the location and the transmit power of each AP under the constraint of full coverage. Different from most existing works, the proposed scheme takes the non-uniform service area where there are various obstacles within it into fully consideration. Sufficient simulations have been done to evaluate the performance of the GA- based deployment scheme by comparing with the uniform deployment scheme. Simulation results indicate that the total transmit power can be significantly reduced by leveraging the proposed scheme while guaranteeing the full coverage of the desired service area. At the same time, the overlap rate of the WLAN can also be significantly reduced by the proposed scheme.
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