Joint Beamforming Design and Power Splitting Optimization in IRS-Assisted SWIPT NOMA Networks

doi:10.1109/TWC.2021.3108901

	Joint Beamforming Design and Power Splitting Optimization in IRS-Assisted SWIPT NOMA Networks
	Li, Zhendong 1; Chen, Wen 2; Wu, Qingqing 3; Wang, Kunlun4 ; Li, Jun 5
	2021
发表期刊	IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
ISSN	1536-1276
EISSN	1558-2248
DOI	10.1109/TWC.2021.3108901
摘要	This paper proposes a novel network framework of intelligent reflecting surface (IRS)-assisted simultaneous wireless information and power transfer (SWIPT) non-orthogonal multiple access (NOMA) networks, where IRS is used to enhance the NOMA performance and the wireless power transfer (WPT) efficiency of SWIPT. We formulate a problem of minimizing base station (BS) transmit power by jointly optimizing successive interference cancellation (SIC) decoding order, BS transmit beamforming vector, power splitting (PS) ratio and IRS phase shift while taking into account the quality-of-service (QoS) requirement and energy harvested threshold of each user. The formulated problem is non-convex optimization problem, which is difficult to solve it directly. Hence, a two-stage algorithm is proposed to solve the above-mentioned problem by applying semidefinite relaxation (SDR), Gaussian randomization and successive convex approximation (SCA). Specifically, after determining SIC decoding order by designing IRS phase shift in the first stage, we alternately optimize BS transmit beamforming vector, PS ratio, and IRS phase shift to minimize the BS transmit power. Numerical results validate the effectiveness of our proposed optimization algorithm in reducing BS transmit power compared to other baseline algorithms. Meanwhile, compared with non-IRS-assisted network, the IRS-assisted SWIPT NOMA network can decrease BS transmit power by 51.13%. IEEE
关键词	Approximation algorithms Beamforming Convex optimization Decoding Energy transfer Quality of service Gaussian randomizations Information and power transfers Optimization algorithms Qualityof-service requirement (QoS) Semidefinite relaxation Successive convex approximations Successive interference cancellation(SIC) Wireless power transfer (WPT)
URL	查看原文
收录类别	EI
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20213710895102
EI主题词	Wireless power transfer
EI分类号	711.2 Electromagnetic Waves in Relation to Various Structures ; 723.2 Data Processing and Image Processing ; 921 Mathematics
原始文献类型	Article in Press
引用统计
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/135748
专题	信息科学与技术学院_PI研究组_周勇组
作者单位	1.Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.; 2.Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. (e-mail: wenchen@sjtu.edu.cn); 3.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, 999078, and National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China.; 4.School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China, and School of Communication and Electronic Engineering, East China Normal University, Shanghai 200241, China.; 5.School of Electronic and Optical Engineering, Nanjing University of Science Technology, Nanjing 210094, China.
推荐引用方式 GB/T 7714	Li, Zhendong,Chen, Wen,Wu, Qingqing,et al. Joint Beamforming Design and Power Splitting Optimization in IRS-Assisted SWIPT NOMA Networks[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,2021.
APA	Li, Zhendong,Chen, Wen,Wu, Qingqing,Wang, Kunlun,&Li, Jun.(2021).Joint Beamforming Design and Power Splitting Optimization in IRS-Assisted SWIPT NOMA Networks.IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS.
MLA	Li, Zhendong,et al."Joint Beamforming Design and Power Splitting Optimization in IRS-Assisted SWIPT NOMA Networks".IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2021).