Passive Beamforming for Practical RIS-Assisted Communication Systems With Non-Ideal Hardware

被引:1
作者
Liu, Yiming [1 ,2 ]
Wang, Rui [3 ,4 ]
Han, Zhu [5 ,6 ]
机构
[1] Tongji Univ, Dept Informat & Commun Engn, Shanghai 201804, Peoples R China
[2] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
[3] Tongji Univ, Coll Elect & Informat Engn, Shanghai 201804, Peoples R China
[4] Tongji Univ, Shanghai Inst Intelligent Sci & Technol, Shanghai 201804, Peoples R China
[5] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77004 USA
[6] Kyung Hee Univ, Dept Comp Sci & Engn, Seoul 446701, South Korea
基金
中国国家自然科学基金;
关键词
Hardware; Array signal processing; Wireless communication; Transceivers; Optimization; Reconfigurable intelligent surfaces; Transforms; Fractional programming; hardware impairments; passive beamforming; practical phase shifts; reconfigurable intelligent surface (RIS); INTELLIGENT REFLECTING SURFACE; AIDED COMMUNICATIONS; ENERGY EFFICIENCY; RATE MAXIMIZATION; WIRELESS NETWORK; CAPACITY; OPTIMIZATION; DESIGN; ROBUST;
D O I
10.1109/TVT.2024.3416249
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) technology is a promising solution for enhancing the performance of existing wireless communication systems. To achieve its advantage of cost-effectiveness, there inevitably exist certain hardware impairments in the system, leading to severe performance degradation. Some existing works have considered such problems under transceiver hardware impairments but neglected the practical model of RIS. Moreover, their performance still leaves room for improvement. To address these issues, RIS passive beamforming is re-optimized in this paper to maximize spectrum efficiency, taking into account both transceiver hardware impairments and practical RIS model. We deal with the fractional structure of the problem by using the quadratic transform. The remaining sub-problems are addressed utilizing the penalty-based method and the difference-of-convex programming. Since all sub-problems have closed-form solutions, our method is highly efficient. Numerical results demonstrate the superiority of our method. Most importantly, our solution reduces unnecessary resource consumption in practical scenarios.
引用
收藏
页码:17743 / 17748
页数:6
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