射频能量收集认知无线电网络的最优时限约束频谱接入  

Optimal deadline-constrained spectrum access in RF energy harvesting cognitive radio networks

作　　者：张凯 沈世林 房婷 张葳 林艳 张一晋[1] Zhang Kai;Shen Shilin;Fang Ting;Zhang Wei;Lin Yan;Zhang Yijin(School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学电子工程与光电技术学院,江苏南京210094

出　　处：《南京理工大学学报》2024年第2期218-226,共9页Journal of Nanjing University of Science and Technology

基　　金：国家自然科学基金(62071236,62001225);中央高校基本科研业务费(30920021127,30919011227);江苏省自然科学基金(BK20190454)。

摘　　要：为了在能量收集与传输时限约束下优化认知无线电网络次用户的机会式频谱接入,该文综合考虑信道状态的时变性与观测性,基于队列所有数据包的传输紧迫性对次用户时限约束频谱接入进行马尔可夫决策过程(MDP)建模。证明此MDP建模具有单链性质,进而使用价值迭代算法求解确定性平稳ε-最优策略,有效降低了最优策略求解复杂度。仿真结果在不同网络参数配置下验证了该文策略相较于贪婪策略的吞吐率性能优势。To optimize the opportunistic spectrum access of secondary users in cognitive radio networks with both energy harvesting and delivery deadline constraints,by taking into account the time-varying channel status and its observability,this paper formulates such access as a Markov decision process(MDP)relying on the transmission urgencies of all packets in the data queue.We further prove the unichain property of this MDP,and apply the value iterative algorithm to obtain a deterministic stationary ε-optimal policy,which significantly reduces the computational complexity of optimal policies.Simulation results under a variety of system configurations demonstrate the throughput performance advantage of the proposed strategies over greedy strategy.

关 键 词：传输时限 能量收集 认知无线电 马尔可夫决策过程 吞吐率 机会式接入 计算复杂度 确定性平稳策略 

分 类 号：TN911[电子电信—通信与信息系统]