IRS-Assisted Wireless Powered NOMA: Do We Really Need Different Phase Shifts in DL and UL?

被引:107
作者
Wu, Qingqing [1 ,2 ]
Zhou, Xiaobo [3 ]
Schober, Robert [4 ]
机构
[1] Univ Macau, State Key Lab Internet Things Smart City, Macau, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[3] Fuyang Normal Univ, Sch Phys & Elect Engn, Fuyang 236037, Peoples R China
[4] Friedrich Alexander Univ, Inst Digital Commun, D-91054 Erlangen, Germany
关键词
Array signal processing; Wireless communication; Optimization; NOMA; Throughput; Heuristic algorithms; Wireless power transfer; IRS; wireless powered networks; dynamic beamforming; time allocation; INTELLIGENT REFLECTING SURFACE; BEAMFORMING OPTIMIZATION; RESOURCE-ALLOCATION; ENERGY EFFICIENCY; COMMUNICATION; NETWORK;
D O I
10.1109/LWC.2021.3072502
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intelligent reflecting surface (IRS) is a promising technology to improve the performance of wireless powered communication networks (WPCNs) due to its capability to reconfigure signal propagation environments via smart reflection. In particular, the high passive beamforming gain promised by IRS can significantly enhance the efficiency of both downlink wireless power transfer (DL WPT) and uplink wireless information transmission (UL WIT) in WPCNs. Although adopting different IRS phase shifts for DL WPT and UL WIT, i.e., dynamic IRS beamforming, is in principle possible but incurs additional signaling overhead and computational complexity, it is an open problem whether it is actually beneficial. To answer this question, we consider an IRS-assisted WPCN where multiple devices employ a hybrid access point (HAP) to first harvest energy and then transmit information using non-orthogonal multiple access (NOMA). Specifically, we aim to maximize the sum throughput of all devices by jointly optimizing the IRS phase shifts and the resource allocation. To this end, we first prove that dynamic IRS beamforming is not needed for the considered system, which helps reduce the number of IRS phase shifts to be optimized. Then, we propose both joint and alternating optimization based algorithms to solve the resulting problem. Simulation results demonstrate the effectiveness of our proposed designs over benchmark schemes and also provide useful insights into the importance of IRS for realizing spectrum and energy efficient WPCNs.
引用
收藏
页码:1493 / 1497
页数:5
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