期刊文献+

基于超鞅理论的VLC系统服务效率优化算法

Optimization algorithm of service efficiency for VLC system based on supermartingale theory
下载PDF
导出
摘要 为提高通信网络带宽资源的利用率,针对可见光通信(VLC)上行系统,设计了一种基于超鞅理论的服务效率优化算法,以应对终端业务对网络服务质量(QoS)的差异化需求。该算法首先通过构建基于马尔可夫调制的On-Off(MMOO)过程与ALOHA随机接入过程的网络队列系统模型,推导了各终端设备成功接入协调器的概率。接着,利用超鞅理论评估了系统的时延性能,并将多用户QoS高效保障问题转化为一个受鞅域时延界约束的服务速率最小化问题。最终,采用蜜獾算法(HBA)来求解该问题。仿真结果表明,该算法能满足终端业务的不同Qo S要求,并优化了网络服务效率。 In order to enhance the bandwidth utilization of the communication network,a service efficiency optimization algorithm founded on supermartingale theory is devised for the visible light communication(VLC)uplink system to fulfill the differentiated demands of terminal services regarding the network quality of service(QoS).Firstly,the network queue system model based on the Markov modulated on-off(MMOO)process and the ALOHA random access process is established,and the probability of each terminal device accessing the coordinator is derived.Then,the supermartingale theory is employed to assess the delay performance of the system,and the multi-user QoS efficient guarantee issue is transformed into a service rate minimization problem constrained by the martingale domain delay bound.Finally,the honey badger algorithm(HBA)is utilized to solve the problem.The simulation results demonstrate that the algorithm can satisfy the diverse QoS requirements of terminal services and optimize service efficiency of the network.
作者 孙洪亮 王超 胡雪 钱磊 SUN Hongliang;WANG Chao;HU Xue;QIAN Lei(College of Information and Control Engineering,Jilin Institute of Chemical Technology,Jilin Jilin 132022,China;School of Electronic and Information Engineering,Tiangong University,Tianjin 300387,China)
出处 《光通信技术》 北大核心 2024年第5期35-40,共6页 Optical Communication Technology
基金 国家自然科学基金项目(批准号:62301359)资助 吉林省教育厅科学研究项目(批准号:JJKH20220243KJ)资助。
关键词 可见光通信网络 超鞅理论 服务质量保障 蜜獾算法 服务效率优化 visible light communication network supermartingale theory quality of service guarantee honey badger algorithm service efficiency optimization
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部