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作 者:陈思佳 王庆泉 周丽 CHEN Sijia;WANG Qingquan;ZHOU Li(College of Information Engineering,Jiaxing Nanhu University,Jiaxing Zhejiang 314000,China;College of Information Science and Engineering,Jiaxing University,Jiaxing Zhejiang 314000,China)
机构地区:[1]嘉兴南湖学院信息工程学院,浙江嘉兴314000 [2]嘉兴大学信息科学与工程学院,浙江嘉兴314000
出 处:《激光杂志》2025年第2期185-192,共8页Laser Journal
基 金:教育部产学合作协同育人项目(No.202101220021)。
摘 要:超密集可见光通信网络节点数量庞大,节点间的连接关系复杂,关键通信节点承载着大量的数据流和通信任务,可以为资源分配提供重要的参考依据,为此提出了基于改进差分进化法的超密集可见光通信网络资源分配方法。根据信道增益、信干噪比、通信中断概率计算超密集可见光通信链路信息承载力,根据节点阻塞概率确定关键通信节点,根据链路信息承载力以及关键通信节点搭建资源分配模型,利用改进差分进化算法对该模型进行求解,根据最优方案实现超密集可见光通信网络资源分配。实验结果表明,所提方法能够有效地提高超密集可见光通信网络数据传输速率和吞吐量,实际应用效果好。The number of nodes in ultra dense visible light communication networks is huge,and the connection relationships between nodes are complex.Key communication nodes carry a large amount of data streams and commu-nication tasks,which can provide important reference for resource allocation.Therefore,a resource allocation method for ultra dense visible light communication networks based on improved differential evolution method is proposed.Cal-culate the information carrying capacity of ultra dense visible light communication links based on channel gain,signal-to-noise ratio,and communication interruption probability.Determine key communication nodes based on node bloc-king probability.Build a resource allocation model based on link information carrying capacity and key communication nodes.Use an improved differential evolution algorithm to solve the model and achieve optimal resource allocation for ultra dense visible light communication networks.The experimental results show that the proposed method can effec-tively improve the data transmission rate and throughput of ultra dense visible light communication networks,and has good practical application effects.
关 键 词:改进差分进化算法 超密集 可见光通信网络 资源分配 关键通信节点
分 类 号:TN92[电子电信—通信与信息系统]
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