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改进遗传模拟退火算法优化室内VLC覆盖均匀性

Optimization of Indoor VLC Coverage Uniformity by Improved Genetic Simulated Annealing Algorithm

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摘要

基于LED的室内可见光通信(VLC)能够实现照明和高速率的数据传输, 但LED朗伯辐射模式和光线多径效应等使VLC系统下行链路在同一接收水平面的光功率和照明强度分布不均匀, 难以保证通信服务的公平性。提出了一种改进的遗传模拟退火算法(IGSAA)搜索最优的功率调节因子并调节LED阵列的发射功率。IGSAA基于不同接收点的接收功率差异的适应度函数, 采用双点交叉操作方式并根据种群最优个体信息和进化代数设计自适应变异概率以增强算法的搜索能力, 采用基于子群划分的概率交叉和变异方法以增加种群多样性。仿真结果表明, IGSAA能在有限进化代数内有效地提高室内VLC系统的覆盖均匀性。

Abstract

Indoor visible light communication (VLC) based on light-emitting diodes (LED) can meet the needs of illuminance and high-rate data communications. However, the optical power and illuminance intensity distributions for the downlink of a VLC system on the same receiving plane are nonuniform owing to the LED Lambertian radiation pattern, the inherent ray multipath effect, and so on. Thus, it is difficult to ensure the fairness of communication services. An improved genetic simulated annealing algorithm (IGSAA) is proposed to search a set of optimal power regulating factors and adjust the transmitting power of LED arrays. In the IGSAA, the adaptive function is designed in the view of the received power differences among different positions on the receiving plane. A two-point crossover operation mode is used and a adaptive mutation probability is designed based on the optimal chromosome information of the population and the evolutional generation to enhance the search ability of the algorithm. Besides, to maintain the diversity of population, the probability crossover and mutation methods based on subgroup division are used to increase the population diversity. The numerical results show that the proposed IGSAA can effectively improve the coverage uniformity of an indoor VLC system within limited evolutional generations.

Newport宣传-MKS新实验室计划
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中图分类号:TN929.11

DOI:10.3788/cjl201946.0106001

所属栏目:光纤光学与光通信

基金项目:国家电网公司科技项目(52010118000Q)

收稿日期:2018-07-26

修改稿日期:2018-08-23

网络出版日期:2018-09-05

作者单位    点击查看

刘焕淋:重庆邮电大学通信与信息工程学院, 重庆 400065
朱平鑫:重庆邮电大学通信与信息工程学院, 重庆 400065
陈勇:重庆邮电大学工业物联网与网络化控制教育部重点实验室, 重庆 400065
林振宇:重庆邮电大学通信与信息工程学院, 重庆 400065

联系人作者:刘焕淋(liuhl2@sina.com)

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引用该论文

Liu Huanlin,Zhu Pingxin,Chen Yong,Lin Zhenyu. Optimization of Indoor VLC Coverage Uniformity by Improved Genetic Simulated Annealing Algorithm[J]. Chinese Journal of Lasers, 2019, 46(1): 0106001

刘焕淋,朱平鑫,陈勇,林振宇. 改进遗传模拟退火算法优化室内VLC覆盖均匀性[J]. 中国激光, 2019, 46(1): 0106001

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