Reconfigurable Intelligent Surface Assisted D2D Underlay Communications:A Two-Timescale Optimization Design

作     者：Chang Cai Huiyuan Yang Xiaojun Yuan Ying-Jun Angela Zhang Yi Liu Chang Cai;Huiyuan Yang;Xiaojun Yuan;Ying-Jun Angela Zhang;Yi Liu

作者机构：Center for Intelligent Networking and Communications(CINC)University of Electronic Science and Technology of China(UESTC)Chengdu 611731China Department of Information EngineeringThe Chinese University of Hong KongHong Kong 999077China 

出 版 物：《Journal of Communications and Information Networks》 (通信与信息网络学报（英文）)

年 卷 期：2020年第5卷第4期

页      面：369-380页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0839[工学-网络空间安全] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported in part by National Natural Science Foundation of China(No.62071090) in part by General Research Funding(Project number 14208107)from Research Grants Council of Hong Kong.The associate editor coordinating the review of this paper and approving it for publication was R.Wang. 

主　　题：reconfigurable intelligent surface(RIS) device-to-device(D2D)underlay communication twotimescale optimization 

摘      要：The performance of a device-to-device(D2D)underlay communication system is limited by the co-channel interference between cellular users(CUs)and D2D devices.To address this challenge,a reconfigurable intelligent surface(RIS)aided D2D underlay system is studied in this paper.A two-timescale optimization scheme is proposed to reduce the required channel training and feedback overhead,where transmit beamforming at the base station(BS)and power control at the D2D transmitters are adapted to instantaneous effective channel state information(CSI);and the RIS phase shifts are adapted to slow-varying channel mean.Based on the two-timescale optimization scheme,we aim to maximize the D2D ergodic weighted sum-rate(WSR)subject to a given outage probability constrained signal-to-interference-plus-noise ratio(SINR)target for each CU.The two-timescale problem is decoupled into two sub-problems,and the two sub-problems are solved iteratively.Numerical results verified that the two-timescale based optimization performs better than two baselines,and also demonstrated a favourable trade-off between system performance and CSI overhead.