General Low-complexity Beamforming Designs for Reconfigurable Intelligent Surface-aided Multi-user Systems

CHEN Xiao; SHI Jianfeng; ZHU Jianyue; PAN Cunhua

doi:10.11999/JEIT240051

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CHEN Xiao, SHI Jianfeng, ZHU Jianyue, PAN Cunhua. General Low-complexity Beamforming Designs for Reconfigurable Intelligent Surface-aided Multi-user Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240051

Citation:

CHEN Xiao, SHI Jianfeng, ZHU Jianyue, PAN Cunhua. General Low-complexity Beamforming Designs for Reconfigurable Intelligent Surface-aided Multi-user Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240051

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General Low-complexity Beamforming Designs for Reconfigurable Intelligent Surface-aided Multi-user Systems

doi: 10.11999/JEIT240051

1.
School of Artificial Intelligence/School of Future Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China
2.
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
3.
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Funds: The National Natural Science Foundation of China (62101273, 62201274), The Natural Science Foundation of Jiangsu Province of China (BK20210641, BK20220439)

Received Date: 2024-01-24
Rev Recd Date: 2024-03-15

Available Online: 2024-03-26

Abstract

Abstract

General low-complexity joint beamforming designs are proposed for Reconfigurable Intelligent Surface (RIS) assisted multi-user systems. First, the non-convex optimization problem of joint beamforming design is analyzed to maximize sum data rate for RIS-aided multi-user systems. Second, the RIS reflection matrix is designed by using the approximation orthogonality of the beam steering vectors, and the transmit beamforming at the base station is derived from the zero forcing method, and the power allocation is optimized for multiple users. Finally, it is found that the proposed scheme has wide applicability and an order of magnitude reduction on computational complexity than that of existing work. Numerical results show that the proposed beamforming design can achieve high sum data rate, which can be further improved by employing the optimal power allocation. Besides, both the simulation results and theoretical analysis indicate that the sum data rate changes with the RIS location, which provides reference standards for the selection of RIS location.
- Reconfigurable Intelligent Surface (RIS),
- Beamforming,
- Sum data rate,
- Low complexity

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References(22)

References

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