Hybrid Active-Passive IRS Assisted Energy-Efficient Wireless Communication

被引:26
作者
Peng, Qiaoyan [1 ,2 ]
Wu, Qingqing [3 ]
Chen, Guangji [1 ]
Liu, Ruiqi [4 ]
Ma, Shaodan [1 ]
Chen, Wen [3 ]
机构
[1] Univ Macau, State Key Lab Internet Things Smart City, Macau 999078, Peoples R China
[2] Shanghai Jiao Tong Univ, Inst Signal Proc & Syst, Shanghai 200240, Peoples R China
[3] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
[4] ZTE Corp, State Key Lab Mobile Network & Mobile Multimedia T, Shenzhen 518057, Peoples R China
基金
中国国家自然科学基金;
关键词
Power demand; Rician channels; Fading channels; Wireless communication; Hybrid power systems; Energy efficiency; Reflection; Intelligent reflecting surface (IRS); hybrid active-passive IRS (H-IRS); energy efficiency (EE); the number of active; passive elements;
D O I
10.1109/LCOMM.2023.3291710
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Deploying active reflecting elements at the intelligent reflecting surface (IRS) increases signal amplification capability but incurs higher power consumption. Therefore, it remains a challenging and open problem to determine the optimal number of active/passive elements for maximizing energy efficiency (EE). To answer this question, we consider a hybrid active-passive IRS (H-IRS) assisted wireless communication system, where the H-IRS consists of both active and passive reflecting elements. Specifically, we study the optimization of the number of active/passive elements at the H-IRS to maximize EE. To this end, we first derive the closed-form expression for a near-optimal solution under the line-of-sight (LoS) channel case and obtain its optimal solution under the Rayleigh fading channel case. Then, an efficient algorithm is employed to obtain a high-quality sub-optimal solution for EE maximization under the general Rician channel case. Simulation results demonstrate the effectiveness of the H-IRS for maximizing EE under different Rician factors and IRS locations.
引用
收藏
页码:2202 / 2206
页数:5
相关论文
共 13 条
[1]   Active IRS Aided Multiple Access for Energy-Constrained IoT Systems [J].
Chen, Guangji ;
Wu, Qingqing ;
He, Chong ;
Chen, Wen ;
Tang, Jie ;
Jin, Shi .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (03) :1677-1694
[2]   Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead [J].
Di Renzo, Marco ;
Zappone, Alessio ;
Debbah, Merouane ;
Alouini, Mohamed-Slim ;
Yuen, Chau ;
de Rosny, Julien ;
Tretyakov, Sergei .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2020, 38 (11) :2450-2525
[3]  
Kang Z., 2022, arXiv
[4]   Active Reconfigurable Intelligent Surface: Fully-Connected or Sub-Connected? [J].
Liu, Kunzan ;
Zhang, Zijian ;
Dai, Linglong ;
Xu, Shenheng ;
Yang, Fan .
IEEE COMMUNICATIONS LETTERS, 2022, 26 (01) :167-171
[5]   A Path to Smart Radio Environments: An Industrial Viewpoint on Reconfigurable Intelligent Surfaces [J].
Liu, Ruiqi ;
Wu, Qingqing ;
Di Renzo, Marco ;
Yuan, Yifei .
IEEE WIRELESS COMMUNICATIONS, 2022, 29 (01) :202-208
[6]   Active Reconfigurable Intelligent Surface-Aided Wireless Communications [J].
Long, Ruizhe ;
Liang, Ying-Chang ;
Pei, Yiyang ;
Larsson, Erik G. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (08) :4962-4975
[7]  
Ma CZ, 2023, Arxiv, DOI arXiv:2303.06950
[8]   Hybrid Active-Passive Reconfigurable Intelligent Surface-Assisted UAV Communications [J].
Nguyen, Nhan T. ;
V-Dinh Nguyen ;
Wu, Qingqing ;
Tolli, Antti ;
Chatzinotas, Symeon ;
Juntti, Markku .
2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), 2022, :3126-3131
[9]   Hybrid Active-Passive Reconfigurable Intelligent Surface-Assisted Multi-User MISO Systems [J].
Nguyen, Nhan T. ;
V-Dinh Nguyen ;
Wu, Qingqing ;
Tolli, Antti ;
Chatzinotas, Symeon ;
Juntti, Markku .
2022 IEEE 23RD INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATION (SPAWC), 2022,
[10]  
Sankar RSP, 2022, EUR SIGNAL PR CONF, P1082