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Multi-hop Cognitive Wireless Powered Networks: Outage Analysis and Optimization
Xu C(许驰)1,2; Xia CQ(夏长清)1,2; Song CH(宋纯贺)1,2; Zeng P(曾鹏)1,2; Yu HB(于海斌)1,2
Department工业控制网络与系统研究室
Source PublicationIEEE Access
ISSN2169-3536
2019
Volume7Pages:4338-4347
Indexed BySCI ; EI
EI Accession number20185006231789
WOS IDWOS:000456235000001
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China ; Liaoning Provincial Natural Science Foundation of China ; State Grid Corporation Science and Technology Project
KeywordMulti-hop cognitive wireless powered networks energy harvesting outage probability particle swarm optimization
AbstractThis 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.
Language英语
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS KeywordRESOURCE-ALLOCATION ; RELAY NETWORKS ; ENERGY ; INFORMATION ; ACCESS
WOS Research AreaComputer Science ; Engineering ; Telecommunications
Funding ProjectState Grid Corporation Science and Technology Project[SG2NK00DWJS1800123] ; Liaoning Provincial Natural Science Foundation of China[20180520029] ; Liaoning Provincial Natural Science Foundation of China[20180540114] ; National Natural Science Foundation of China[61533015] ; National Natural Science Foundation of China[61803368] ; 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]
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/23873
Collection工业控制网络与系统研究室
Corresponding AuthorZeng P(曾鹏); Yu HB(于海斌)
Affiliation1.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
Recommended Citation
GB/T 7714
Xu C,Xia CQ,Song CH,et al. Multi-hop Cognitive Wireless Powered Networks: Outage Analysis and Optimization[J]. IEEE Access,2019,7:4338-4347.
APA Xu C,Xia CQ,Song CH,Zeng P,&Yu HB.(2019).Multi-hop Cognitive Wireless Powered Networks: Outage Analysis and Optimization.IEEE Access,7,4338-4347.
MLA Xu C,et al."Multi-hop Cognitive Wireless Powered Networks: Outage Analysis and Optimization".IEEE Access 7(2019):4338-4347.
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