罗轶¹,
孔静恬¹,
董健^2,,,
佘青青¹,
黄慧³,
黄正宇¹
1.湖南师范大学智能计算与语音信息处理湖南省重点实验室 长沙 410081
2.中南大学计算机学院 长沙 410075
3.华南理工大学电子与信息学院 广州 510641
基金项目:国家自然科学基金(61971450)，湖南省科技计划项目(2018TP1018)，湖南省自然科学基金(2018JJ2533)

详细信息

作者简介:罗轶：男，1980年生，博士，讲师，研究方向为认知无线通信与物联网关键技术等
董健：男，1980年生，博士，教授，博士生导师，研究方向为认知协作通信和5G/物联网通信
黄慧：女，1997年生，硕士生，研究方向为无线体域网MAC层协议设计

通讯作者:董健　dong0531@126.com

中图分类号:TN925

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被引次数:0

出版历程

收稿日期:2020-08-10
修回日期:2021-02-05
网络出版日期:2021-03-22
刊出日期:2021-10-18

Outage Performance Analysis and Optimization of Energy Harvesting Cognitive Multihop Relay Networks

Yi LUO¹,
Jingtian KONG¹,
Jian DONG^2,,,
Qingqing SHE¹,
Hui HUANG³,
Zhengyu HUANG¹
1. Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha 410081, China
2. School of Computer Science and Engineering, Central South University, Changsha 410075, China
3. School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
Funds:The National Natural Science Foundation of China (61971450), The Hunan Provincial Science and Technology Project Foundation (2018TP1018), The Natural Science Foundation of Hunan Province (2018JJ2533)


摘要
摘要:针对能量收集认知无线网络中的多跳中继传输问题，该文构建了一种新的具有主网络干扰的功率信标(PB)辅助能量收集认知多跳中继网络模型，并提出单向传输方案。在干扰链路统计信道状态信息场景下，推导了次网络精确和渐近总中断概率闭合式。针对精确总中断概率表达式的复杂性和非凸性，采用自适应混沌粒子群优化(ACPSO)算法对次网络总中断性能进行优化。仿真结果表明，PB功率、干扰约束、次网络跳数、能量收集比率、主接收端数目和信道容量阈值等参数对中断性能影响显著，所提算法能快速和有效地对网络中断性能进行优化。
关键词:认知无线电/
多跳中继网络/
能量收集/
中断概率
Abstract:Considering the problems of multihop relay transmission in energy harvesting cognitive radio networks, a novel Power Beacon (PB) assisted energy harvesting cognitive multihop relay network model with primary network interference is proposed, and a one-way transmission scheme is proposed. In the scenario of interference link statistical channel state information, the closed-form formulas of exact and asymptotic total outage probability are derived. In view of the complexity and nonconvexity of the exact total outage probability expression, the Adaptive Chaos Particle Swarm Optimization (ACPSO) algorithm is used to optimize the total outage performance of the secondary network. Simulation results show that the parameters such as PB’s power, interference constraint, number of secondary network hops, energy harvesting ratio, the number of primary receivers and channel capacity threshold have significant impacts on outage performance, the proposed algorithm can quickly and effectively optimize the network outage performance.
Key words:Cognitive radio/
Multihop relay networks/
Energy harvesting/
Outage probability



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