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End-to-End Throughput Maximization for Underlay Multi-Hop Cognitive Radio Networks with RF Energy Harvesting
Xu C(许驰); Zheng M(郑萌); Liang W(梁炜); Yu HB(于海斌); Liang YC(梁应敞)
作者部门工业控制网络与系统研究室
关键词Multi-hop Underlay Cognitive Radio Networks Energy Harvesting End-to-end Throughput Convex Optimization
发表期刊IEEE Transactions on Wireless Communications
ISSN1536-1276
2017
卷号16期号:6页码:3561-3572
收录类别SCI ; EI
EI收录号20172503803828
WOS记录号WOS:000403495400003
产权排序1
资助机构National Natural Science Foundation of China [61233007, 61673371, 71661147005, 61571100, 61631005] ; Youth Innovation Promotion Association, CAS [2015157]
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.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Engineering, Electrical & Electronic ; Telecommunications
关键词[WOS]POWER TRANSFER ; WIRELESS INFORMATION ; RESOURCE-ALLOCATION ; OPTIMIZATION ; SYSTEMS
WOS研究方向Engineering ; Telecommunications
引用统计
被引频次:14[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/20747
专题工业控制网络与系统研究室
通讯作者Liang W(梁炜); Yu HB(于海斌)
作者单位1.State Key Laboratory of Robotics, Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, 2006, Australia
4.University of Electronic Science and Technology of China, Chengdu, 611731, China
推荐引用方式
GB/T 7714
Xu C,Zheng M,Liang W,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 Xu C,Zheng M,Liang W,Yu HB,&Liang YC.(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 Xu C,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.
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