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End-to-End Throughput Maximization for Underlay Multi-Hop Cognitive Radio Networks with RF Energy Harvesting
文献类型：期刊论文
| 作者 | Liang W(梁炜) ; Yu HB(于海斌); Liang YC(梁应敞); Zheng M(郑萌); Xu C(许驰)
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| 刊名 | IEEE Transactions on Wireless Communications
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| 出版日期 | 2017 |
| 卷号 | 16期号:6页码:3561-3572 |
| 关键词 | Multi-hop underlay cognitive radio networks energy harvesting end-to-end throughput convex optimization |
| ISSN号 | 1536-1276 |
| 产权排序 | 1 |
| 通讯作者 | Yu HB(于海斌) ; Liang W(梁炜) |
| 中文摘要 | This paper studies a green paradigm for the underlay coexistence of primary users (PUs) and secondary users (SUs) in energy harvesting cognitive radio networks (EH-CRNs), wherein battery-free SUs capture both the spectrum and the energy of PUs to enhance spectrum efficiency and green energy utilization. To lower the transmit powers of SUs, we employ multi-hop transmission with time division multiple access, by which SUs first harvest energy from the RF signals of PUs, and then, transmit data in the allocated time concurrently with PUs, all in the licensed spectrum. In this way, the available transmit energy of each SU mainly depends on the harvested energy before the turn to transmit, namely energy causality. Meanwhile, the transmit powers of SUs must be strictly controlled to protect PUs from harmful interference. Thus, subject to the energy causality constraint and the interference power constraint, we study the end-to-end throughput maximization problem for optimal time and power allocation. To solve this nonconvex problem, we first equivalently transform it into a convex optimization problem and then propose the joint optimal time and power allocation (JOTPA) algorithm that iteratively solves a series of feasibility problems until convergence. Extensive simulations evaluate the performance of EH-CRNs with JOTPA in three typical deployment scenarios and validate the superiority of JOTPA by making comparisons with two other resource allocation algorithms. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Electrical & Electronic ; Telecommunications |
| 研究领域[WOS] | Engineering ; Telecommunications |
| 关键词[WOS] | POWER TRANSFER ; WIRELESS INFORMATION ; RESOURCE-ALLOCATION ; OPTIMIZATION ; SYSTEMS |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000403495400003 |
| 源URL | [http://ir.sia.cn/handle/173321/20747]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.University of Electronic Science and Technology of China, Chengdu, 611731, China 3.School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, 2006, Australia 4.State Key Laboratory of Robotics, Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Liang W,Yu HB,Liang YC,et al. End-to-End Throughput Maximization for Underlay Multi-Hop Cognitive Radio Networks with RF Energy Harvesting[J]. IEEE Transactions on Wireless Communications,2017,16(6):3561-3572. |
| APA | Liang W,Yu HB,Liang YC,Zheng M,&Xu C.(2017).End-to-End Throughput Maximization for Underlay Multi-Hop Cognitive Radio Networks with RF Energy Harvesting.IEEE Transactions on Wireless Communications,16(6),3561-3572. |
| MLA | Liang W,et al."End-to-End Throughput Maximization for Underlay Multi-Hop Cognitive Radio Networks with RF Energy Harvesting".IEEE Transactions on Wireless Communications 16.6(2017):3561-3572. |
入库方式： OAI收割
来源：沈阳自动化研究所
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