Reconfigurable Intelligent Surface Aided Power Control for Physical-Layer Broadcasting

被引:26
作者
Han, Huimei [1 ,2 ]
Zhao, Jun [3 ]
Zhai, Wenchao [4 ]
Xiong, Zehui [5 ]
Niyato, Dusit [3 ]
Di Renzo, Marco [6 ]
Pham, Quoc-Viet [7 ]
Lu, Weidang [1 ]
Lam, Kwok-Yan [3 ]
机构
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310014, Zhejiang, Peoples R China
[2] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore 639798, Singapore
[3] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore 639798, Singapore
[4] China Jiliang Univ, Coll Informat Engn, Key Lab Elect & Metrol Zhejiang Prov, Hangzhou 310018, Peoples R China
[5] Singapore Univ Technol & Design, Pillar Informat Syst Technol & Design, Singapore 487372, Singapore
[6] Univ Paris Saclay, CNRS, Cent Supelec, Lab Signaux & Syst, F-91192 Gif Sur Yvette, France
[7] Pusan Natl Univ, Korean Southeast Ctr Ind trial Revolut Leader 4, Busan 46241, South Korea
基金
中国国家自然科学基金; 新加坡国家研究基金会; 欧盟地平线“2020”;
关键词
Power control; Optimization; Wireless communication; Quality of service; Broadcasting; Communication systems; Simulation; Reconfigurable intelligent surface; power control; quality of service; wireless communications; REFLECTING SURFACE; BEAMFORMING OPTIMIZATION; WIRELESS COMMUNICATIONS; DESIGN; NETWORK;
D O I
10.1109/TCOMM.2021.3104871
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Reconfigurable intelligent surface (RIS), a recently introduced technology for future wireless communication systems, enhances the spectral and energy efficiency by intelligently adjusting the propagation conditions between base stations (BSs) and mobile equipments (MEs). An RIS consists of many low-cost passive reflecting elements that are optimized to improve the quality of the received signal. In this paper, we study the problem of power control at the BS and RIS optimization for application to physical-layer broadcasting. Our goal is to minimize the transmit power at the BS by jointly designing the transmit beamforming at the BS and the phase shifts of the passive elements at the RIS. Furthermore, to help validate the proposed optimization methods, we derive lower bounds to quantify the average transmit power at the BS as a function of the number of MEs, the number of RIS elements, and the number of antennas at the BS. The simulation results demonstrate that the average transmit power at the BS is close to the lower bound in an RIS-aided system, and is significantly lower than the average transmit power in conventional schemes without an RIS.
引用
收藏
页码:7821 / 7836
页数:16
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