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

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文摘 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.
来源 Journal of Communications and Information Networks ,2020,5(4):369-380 【核心库】
DOI 10.23919/JCIN.2020.9306011
关键词 reconfigurable intelligent surface (RIS) ; device-to-device (D2D) underlay communication ; twotimescale optimization
地址

1. Center for Intelligent Networking and Communications (CINC),University of Electronic Science and Technology of China (UESTC), Chengdu, 611731  

2. Department of Information Engineering,The Chinese University of Hong Kong, Hong Kong, 999077

语种 英文
文献类型 研究性论文
ISSN 2096-1081
学科 电子技术、通信技术
基金 in part by General Research Funding from Research Grants Council of Hong Kong ;  supported in part by National Natural Science Foundation of China
文献收藏号 CSCD:6870891

参考文献 共 35 共2页

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引证文献 1 篇

1 Wang Jiaping Secrecy Rate Analysis for RIS-Aided Multi-User MISO System over Rician Fading Channel Journal of Communications and Information Networks,2023,8(1):48-56
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