Two efficient beamforming methods for hybrid IRS-aided AF relay wireless networks  

作　　者：Xuehui WANG Qingbo LI Wen ZHU Feng SHU Mengxing HUANG Fuhui ZHOU Riqing CHEN Cunhua PAN Yongpeng WU Jiangzhou WANG 

机构地区：[1]School of Mathematics and Statistics,Hainan Normal University,Haikou 571158,China [2]Key Laboratory of Data Science and Smart Education,Ministry of Education,Hainan Normal University,Haikou 571158,China [3]School of Information and Communication Engineering,Hainan University,Haikou 570228,China [4]Collaborative Innovation Center of Information Technology,Hainan University,Haikou 570228,China [5]School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China [6]College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China [7]Digital Fujian Institute of Big Data for Agriculture,Fujian Agriculture and Forestry University,Fuzhou 350002,China [8]National Mobile Communications Research Laboratory,Southeast University,Nanjing 211111,China [9]Shanghai Key Laboratory of Navigation and Location Based Services,Shanghai Jiao Tong University,Shanghai 200240,China [10]School of Engineering,University of Kent,Canterbury CT27NT,UK

出　　处：《Science China(Information Sciences)》2025年第4期359-375,共17页中国科学(信息科学)(英文版)

基　　金：supported in part by National Natural Science Foundation of China(Grant Nos.U22A2002,62071234);Hainan Province Science and Technology Special Fund(Grant No.ZDKJ2021022);Scientific Research Fund Project of Hainan University(Grant No.KYQD(ZR)-21008);Collaborative Innovation Center of Information Technology,Hainan University(Grant No.XTCX2022XXC07)。

摘　　要：Owing to its ability to mitigate the double-fading effect by amplifying the reflected signal,the active intelligent reflecting surface(IRS)has garnered significant attention.In this paper,an amplify-and-forward(AF)relay network assisted by a hybrid IRS consisting of both passive and active units is developed.A signal-to-noise ratio(SNR)maximization problem is formulated,where the AF relay beamforming matrix and the hybrid IRS reflecting coefficient matrices for two-time slots need to be optimized.To address the SNR maximization problem,this paper proposes both a high-performance(HP)method and a low-complexity(LC)method.The HP method is based on the semidefinite relaxation and fractional programming(SDR-FP)algorithm,with rank-1 solutions obtained through Gaussian randomization.For the LC method,the amplification coefficient of each active IRS element is assumed to be equal.The SNR maximization problem is then addressed using the whitening filter,generalized power iteration,and generalized Rayleigh-Ritz(WF-GPI-GRR)approach.Simulation results show that compared with the benchmarks,such as the passive IRS-aided AF relay network,the proposed HP-SDR-FP and WF-GPI-GRR methods achieve significant rate improvements.In particular,the HP-SDR-FP and WF-GPI-GRR methods yield more than a 135.0%rate gain when the transmit power Ps of the source is 10 dBm.Furthermore,the proposed HP-SDR-FP method outperforms the WF-GPI-GRR method in terms of rate performance.

关 键 词：double-fading intelligent reflecting surface active elements passive elements hybrid IRS AF relay 

分 类 号：TN929.5[电子电信—通信与信息系统]