Statistical CSI-Based Transmission Design for RIS and DMA Assisted MIMO Communication System

Xiaojun Huang*, Jun Zhang, Yu Han, Kaizhe Xu, Shi Jin, Shaodan Ma

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

This paper presents a hybrid reconfigurable intelligent surface (RIS) and dynamic metasurface antenna (DMA) assisted multiple-input multiple-output (MIMO) communication system, which is capable to realize massive MIMO technology with superior performance at low hardware implementation cost. We aim for maximizing the achievable ergodic rate of the system through jointly designing the transmit covariance matrix of user, the phase shift matrix of RIS, and the DMA weight matrix at BS only with statistical channel state information. Based on the derived closed-form asymptotic ergodic rate, we first obtain the optimal transmit covariance matrix under the power consumption constraint and specific absorption rate constraints. Then, we obtain a locally optimal phase shift matrix of RIS via the projected gradient ascent algorithm. Finally, we reconfigure the DMA weights by utilizing the optimal solution of the unconstrained DMA problem. Simulation results demonstrate that the proposed optimization algorithm outperforms the baseline.

Original languageEnglish
Title of host publication2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350345384
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 IEEE/CIC International Conference on Communications in China, ICCC 2023 - Dalian, China
Duration: 10 Aug 202312 Aug 2023

Publication series

Name2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

Conference

Conference2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
Country/TerritoryChina
CityDalian
Period10/08/2312/08/23

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