Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-Aided mmWave MIMO Systems
Li, Renwang1; Guo, Bei1; Tao, Meixia1; Liu, Ya-Feng2; Yu, Wei3
AbstractThis paper considers a reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) downlink communication system where hybrid analog-digital beamforming is employed at the base station (BS). We formulate a power minimization problem by jointly optimizing hybrid beamforming at the BS and the response matrix at the RIS, under the signal-to-interference-plus-noise ratio (SINR) constraints at all users. The problem is highly challenging to solve due to the non-convex SINR constraints as well as the unit-modulus phase shift constraints for both the RIS reflection coefficients and the analog beamformer. A two-layer penalty-based algorithm is proposed to decouple variables in SINR constraints, and manifold optimization is adopted to handle the non-convex unit-modulus constraints. We also propose a low-complexity sequential optimization method, which optimizes the RIS reflection coefficients, the analog beamformer, and the digital beamformer sequentially without iteration. Furthermore, the relationship between the power minimization problem and the max-min fairness (MMF) problem is discussed. Simulation results show that the proposed penalty-based algorithm outperforms the state-of-the-art semidefinite relaxation (SDR)-based algorithm. Results also demonstrate that the RIS plays an important role in the power reduction.
KeywordArray signal processing Signal to noise ratio Interference Millimeter wave communication Radio frequency Quality of service Minimization Reconfigurable intelligent surface (RIS) mmWave hybrid beamforming sub-connected structure manifold optimization
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China (NSFC)[61941106] ; National Natural Science Foundation of China (NSFC)[62125108] ; NSFC[12021001] ; NSFC[11991021] ; Canada Research Chairs program
WOS Research AreaEngineering ; Telecommunications
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000782801000020
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Document Type期刊论文
Corresponding AuthorTao, Meixia
Affiliation1.Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
2.Chinese Acad Sci, State Key Lab Sci & Engn Comp, Inst Computat Math & Sci Engn Comp, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Univ Toronto, Dept Elect & Engn, Toronto, ON M5S 3G4, Canada
Recommended Citation
GB/T 7714
Li, Renwang,Guo, Bei,Tao, Meixia,et al. Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-Aided mmWave MIMO Systems[J]. IEEE TRANSACTIONS ON COMMUNICATIONS,2022,70(4):2404-2416.
APA Li, Renwang,Guo, Bei,Tao, Meixia,Liu, Ya-Feng,&Yu, Wei.(2022).Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-Aided mmWave MIMO Systems.IEEE TRANSACTIONS ON COMMUNICATIONS,70(4),2404-2416.
MLA Li, Renwang,et al."Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-Aided mmWave MIMO Systems".IEEE TRANSACTIONS ON COMMUNICATIONS 70.4(2022):2404-2416.
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