中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-hop Cognitive Wireless Powered Networks: Outage Analysis and Optimization

文献类型:期刊论文

作者Song CH(宋纯贺)1,2; Yu HB(于海斌)1,2; Xu C(许驰)1,2; Xia CQ(夏长清)1,2; Zeng P(曾鹏)1,2
刊名IEEE Access
出版日期2019
卷号7页码:4338-4347
关键词Multi-hop cognitive wireless powered networks energy harvesting outage probability particle swarm optimization
ISSN号2169-3536
产权排序1
英文摘要This paper analyzes and optimizes the outage performance of multi-hop cognitive wireless powered networks (CWPNs) in underlay paradigms. To be specific, there are multiple power beacons (PBs) performing wireless power transfer (WPT) for multiple battery-free secondary users (SUs). Correspondingly, SUs first harvest energy from the RF signals of PBs and then execute multi-hop cognitive data transmission in the licensed channel concurrently with the primary users (PUs). Therefore, the transmit power of SUs are subject to the energy causality constraint imposed by WPT and the interference power constraint from multiple PUs. We derive and obtain the closed-form exact and asymptotic end-to-end outage probabilities for multi-hop CWPNs over Rayleigh block fading. Furthermore, we optimize the outage performance by studying the outage minimization problem with respect to the WPT power and the WPT time. Due to the complexity of outage probability, we propose a self-adaptive particle swarm optimization (SA-PSO)-based resource allocation algorithm to jointly optimize the power and time for WPT. Extensive simulations validate the correctness of theoretical analysis and the effectiveness of the proposed optimization algorithm.
WOS关键词RESOURCE-ALLOCATION ; RELAY NETWORKS ; ENERGY ; INFORMATION ; ACCESS
资助项目National Natural Science Foundation of China[61803368] ; National Natural Science Foundation of China[61533015] ; Liaoning Provincial Natural Science Foundation of China[20180540114] ; Liaoning Provincial Natural Science Foundation of China[20180520029] ; State Grid Corporation Science and Technology Project[SG2NK00DWJS1800123]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000456235000001
资助机构National Natural Science Foundation of China ; Liaoning Provincial Natural Science Foundation of China ; State Grid Corporation Science and Technology Project
源URL[http://ir.sia.cn/handle/173321/23873]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Yu HB(于海斌); Zeng P(曾鹏)
作者单位1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Song CH,Yu HB,Xu C,et al. Multi-hop Cognitive Wireless Powered Networks: Outage Analysis and Optimization[J]. IEEE Access,2019,7:4338-4347.
APA Song CH,Yu HB,Xu C,Xia CQ,&Zeng P.(2019).Multi-hop Cognitive Wireless Powered Networks: Outage Analysis and Optimization.IEEE Access,7,4338-4347.
MLA Song CH,et al."Multi-hop Cognitive Wireless Powered Networks: Outage Analysis and Optimization".IEEE Access 7(2019):4338-4347.

入库方式: OAI收割

来源:沈阳自动化研究所

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