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作 者:孙洪亮 李丹 刘晓琳 SUN Hongliang;LI Dan;LIU Xiaolin(School of Information and Control Engineering,Jilin Institute of Chemical Technology,Jilin City 132022,China)
机构地区:[1]吉林化工学院信息与控制工程学院,吉林吉林132022
出 处:《吉林化工学院学报》2024年第5期18-21,共4页Journal of Jilin Institute of Chemical Technology
基 金:吉林省教育厅科学研究项目(JJKH20220243KJ)。
摘 要:为提高可见光通信(VLC)系统的资源利用率,实现系统的高效服务,设计一种ALOHA机制下VLC系统接入控制算法。首先,针对VLC系统建模具有多包接收(MPR)能力的ALOHA服务机制,采用泊松过程刻画数据包到达过程。然后,结合有效容量和有效带宽理论,计算服务质量(QoS)约束下系统可支持的到达强度。构建以到达强度最大化为目标的优化问题并采用灰狼算法(GWO)求解。将灰狼算法与粒子群算法(PSO)进行仿真对比,可以得出灰狼算法的寻优效果好,全局搜索能力强。最后,利用Matlab仿真分析终端数量、未被遮挡概率、多包接收能力对接入到达强度的影响。仿真结果表明,算法可以为VLC系统的接入控制提供一定的指导,提高系统资源利用率。In order to improve the resource utilization of visible light communication(VLC)system and realize efficient service of the system,VLC system access control algorithm based on ALOHA mechanism has been designed in this study.Firstly,the ALOHA service mechanism with multi-packet reception(MPR)capability was modeled for VLC system,and the packet arrival process was described by poisson process.Then,combined with the theory of effective capacity and effective bandwidth,the arrival intensity that the system can support under the constraint of quality of service(QoS)was calculated.The Optimization problem with the objective of maximizing the arrival intensity was constructed and solved by grey wolf optimization(GWO).The GWO was compared with particle swarm optimization(PSO).It could be concluded that the GWO has good optimization effect and strong global search ability.Finally,Matlab simulation was used to analyze the influence of the number of terminals,the probability of not being occluded,and the multi-packet reception ability on the arrival intensity.Simulation results showed that the algorithm provides some guidance for the access control of VLC system and improves the utilization rate of system resources.
分 类 号:TN92[电子电信—通信与信息系统]
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