Green-energy-powered cognitive radio networks: Joint time and power allocation

SIA OpenIR > 工业控制网络与系统研究室

	Green-energy-powered cognitive radio networks: Joint time and power allocation
	Xu C(许驰); Liang W(梁炜); Yu HB(于海斌)
作者部门	工业控制网络与系统研究室
关键词	Cognitive Radio Networks Resource Allocation Green Energy Energy Harvesting Throughput
发表期刊	ACM Transactions on Embedded Computing Systems
ISSN	1539-9087
	2018
卷号	17 期号:1 页码:1-18
收录类别	SCI ; EI
EI收录号	20173604117597
WOS记录号	WOS:000423294100013
产权排序	1
资助机构	National Natural Science Foundation of China
摘要	This article studies a green-energy-powered cognitive radio network (GCRN) in an underlay paradigm, wherein multiple battery-free secondary users (SUs) capture both the spectrum and the energy of primary users (PUs) to communicate with an access point (AP). By time division multiple access, each SU transmits data to AP in the allocated time and harvests energy from the RF signals of PUs otherwise, all in the same licensed spectrum concurrently with PUs. Thus, the transmit power of each SU is jointly constrained by the peak interference power at PU and the harvested energy of SU. With the formulated green coexistence paradigm, we investigate the sum-Throughput maximization problem with respect to time and power allocation, which is non-convex. To obtain the optimal resource allocation, we propose a joint optimal time and power allocation (JOTPA) algorithm that first transforms the original problem into a convex optimization problem with respect to time and energy allocation, and then solve it by iterative Lagrange dual decomposition. To comprehensively evaluate the performance of the GCRN with JOTPA, we deploy the GCRN in three typical scenarios and compare JOTPA with the equal time and optimal power allocation (ETOPA) algorithm. Extensive simulations show that the deployment of the GCRN significantly influences the throughput performance and JOTPA outperforms ETOPA under all considered scenarios.
语种	英语
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
关键词[WOS]	THROUGHPUT MAXIMIZATION ; RESOURCE-ALLOCATION ; OPTIMIZATION
WOS研究方向	Computer Science
资助项目	National Natural Science Foundation of China[61233007] ; National Natural Science Foundation of China[61533015] ; National Natural Science Foundation of China[71661147005]
引用统计
文献类型	期刊论文
条目标识符	http://ir.sia.cn/handle/173321/20976
专题	工业控制网络与系统研究室
通讯作者	Yu HB(于海斌)
作者单位	1.State Key Laboratory of Robotics and 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
推荐引用方式 GB/T 7714	Xu C,Liang W,Yu HB. Green-energy-powered cognitive radio networks: Joint time and power allocation[J]. ACM Transactions on Embedded Computing Systems,2018,17(1):1-18.
APA	Xu C,Liang W,&Yu HB.(2018).Green-energy-powered cognitive radio networks: Joint time and power allocation.ACM Transactions on Embedded Computing Systems,17(1),1-18.
MLA	Xu C,et al."Green-energy-powered cognitive radio networks: Joint time and power allocation".ACM Transactions on Embedded Computing Systems 17.1(2018):1-18.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Green-energy-powered（809KB）	期刊论文	作者接受稿	开放获取	ODC PDDL	浏览下载