计算机应用 ›› 2012, Vol. 32 ›› Issue (04): 949-952.DOI: 10.3724/SP.J.1087.2012.00949

• 网络与通信 • 上一篇    下一篇

基于遗传算法的室内光无线通信功率分布优化方案

徐春   

  1. 新疆财经大学 计算机科学与工程学院,乌鲁木齐 830012
  • 收稿日期:2011-11-01 修回日期:2011-12-09 发布日期:2012-04-20 出版日期:2012-04-01
  • 通讯作者: 徐春
  • 作者简介:徐春(1977-),女,新疆伊宁人,讲师,硕士,主要研究方向:计算机网络、多文种信息处理。

Genetic algorithm based power distribution optimization scheme for indoor optical wireless communication

XU Chun   

  1. College of Computer Science and Engineering, Xinjiang University of Finance and Economics, Urumqi Xinjiang 830012, China
  • Received:2011-11-01 Revised:2011-12-09 Online:2012-04-20 Published:2012-04-01
  • Contact: XU Chun

摘要: 室内光无线通信(OWC)具备频谱资源丰富、功耗低、抗电磁干扰等诸多优势,因而越来越为业界所关注。然而,由于多径传输效应的存在,即使在同一室内房间,同一接收端在不同的接受位置依旧难以获得一致的令人满意的高质量信号。针对这一问题,提出了一种基于遗传算法的动态优化方案,以期降低接受信号功率的波动程度。相应的,给出了基于商用光探测器(视场角为50°)的仿真实验。具体的仿真结果显示该优化方案可以将波动范围(相较于接收到的光信号功率的最大值)从优化之前的50.3%降低至34.6%,同时优化操作对照明功能的影响是可以忽略不计的。

关键词: 光无线通信, 遗传算法, 优化, 绿色照明, 信号覆盖

Abstract: As indoor Optical Wireless Communications (OWC) is characterized by enormous spectrum source, lower power need, immunity to interference caused by other Radio Frequency (RF) wireless devices, it has attracted an increasing attention in the field. However, due to multipath transmission, it is hard to obtain satisfactory uniform signal quality at the receiving terminal even for locations within the same room. A genetic algorithm based optimization scheme was proposed as a candidate approach for OWC to reduce the variability of the received power. And the simulation results based upon the use of a commercially available detector with the field of view of 50 degree show that the dynamic range of received power can be reduced to 34.6% against the peak optical power from 50.3% while the impact on illumination function is negligible.

Key words: Optical Wireless Communication (OWC), genetic algorithm, optimization, green lighting, signal coverage