| 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
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| Department | 工业控制网络与系统研究室 |
| Source Publication | IEEE Access
 |
| ISSN | 2169-3536 |
| 2019 | |
| Volume | 7Pages:4338-4347 |
| Indexed By | SCI ; EI |
| EI Accession number | 20185006231789 |
| WOS ID | WOS:000456235000001 |
| Contribution Rank | 1 |
| Funding Organization | National Natural Science Foundation of China ; Liaoning Provincial Natural Science Foundation of China ; State Grid Corporation Science and Technology Project |
| Keyword | Multi-hop cognitive wireless powered networks energy harvesting outage probability particle swarm optimization |
| Abstract | 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. |
| Language | 英语 |
| WOS Subject | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
| WOS Keyword | RESOURCE-ALLOCATION ; RELAY NETWORKS ; ENERGY ; INFORMATION ; ACCESS |
| WOS Research Area | Computer Science ; Engineering ; Telecommunications |
| Funding Project | State 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] |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.sia.cn/handle/173321/23873 |
| Collection | 工业控制网络与系统研究室 |
| Corresponding Author | Zeng P(曾鹏); Yu HB(于海斌) |
| Affiliation | 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 |
| 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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| File Name/Size | DocType | Version | Access | License | ||
| Multi-Hop Cognitive （7438KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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