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作 者:陈勇[1] 胡陈毅 刘焕淋[2] 吴志倩 吴金兰 王创世 Chen Yong;Hu Chenyi;Liu Huanlin;Wu Zhiqian;Wu Jinlan;Wang Chuangshi(Key Laboratory of Industrial Internet of Things&Network Control,Ministry of Education,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
机构地区:[1]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 [2]重庆邮电大学通信与信息工程学院,重庆400065
出 处:《光学学报》2023年第14期57-67,共11页Acta Optica Sinica
基 金:国家自然科学基金(51977021);重庆市自然科学基金(cstc2020jcyj-msxmX0682);重庆市研究生科研创新项目(CYS22483)。
摘 要:本文提出了一种基于融合改进策略的快速鲸鱼优化算法(FWOA),用于解决室内可见光通信(VLC)系统中光信号分布不均匀的问题。该算法通过反向学习和非线性收敛因子提升了收敛速度,采取扰动搜索机制实现全局寻优。在考虑发光二极管(LED)部署高度的光源布局和功率分配方面,采取了同步优化方案。实验结果表明,在优化16个LED布局模型后,系统照度均匀度提升了7.39%~109.03%,接收功率的品质因子由5.25提高到12.23,同步优化后进一步提高至15.12。此外,实验发现,当LED数量存在限制时,通过选择合适的LED数量,可以在系统能量和性能之间达到较好的平衡。Objective In an indoor visible light communication(VLC)system,it is indispensable to optimize the uniformity of the system,ensuring the flatness of illumination and the fairness of communication.On the one hand,uniform received illuminance can provide a more comfortable lighting environment,which is also the primary purpose of indoor lighting sources.On the other hand,uniform received optical power can improve the communication quality and fairness of the VLC system.However,the layout and configuration parameters of the lighting source will directly affect the uniformity of the light signals.The existing schemes often optimize the lighting source layout based on the top of the room without considering the deployment height of the lighting source and tend to employ a sequential optimization scheme to improve the lighting source layout and power allocation.Besides,little research is conducted on simultaneous optimization.Therefore,it is extremely important to optimize the uniformity of illuminance and received power of the system in view of the uneven distribution of light signals in the indoor VLC system.Methods Given the above problems,a fast whale optimization algorithm(FWOA)based on a fusion improvement strategy is proposed to simultaneously optimize the indoor lighting source layout and power allocation in this study.Considering the lighting source layout and power distribution of the LED deployment height,we adopt a simultaneous optimization scheme to achieve the optimal LED position layout and uniformity of indoor light signals.At the same time,as there may be a wide range of search and long optimization time in simultaneous optimization,the whale optimization algorithm(WOA)is introduced from the perspective of swarm intelligence.The convergence speed and global optimization ability of the algorithm are further improved through the fusion improvement strategy.The specific improvement design is as follows.First,to solve the problem of insufficient convergence speed of the WOA,we employ reverse learning to opt
关 键 词:光通信 可见光通信 鲸鱼优化算法 光源部署高度 功率分配 同步优化
分 类 号:TN929.1[电子电信—通信与信息系统]
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