Efficient Hybrid Beamforming Design in mmWave Massive MU-MIMO DF Relay Systems with the Mixed-Structure

Han M. Du J. Zhang Y. Li X. Rabie K.M. Nauryzbayev G.
2021 Institute of Electrical and Electronics Engineers Inc.

IEEE Access
2021 #9 66141 - 66153 pp.

In this paper, we consider the decode-and-forward (DF) relay system in millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems, and propose a hybrid beamforming design method for the mixed structure, which contains the fully-connected and sub-connected structures. To satisfy constant-modulus and block-diagonalization (BD) constraints, the analog beamforming is designed by the idea of sorted successive interference cancellation (SSIC). More specifically, the proposed method first sorts the capacities of different analog sub-channels in descending order, and then designs the analog beamforming serially according to the order of the capacities. To efficiently mitigate the inner-user and inter-user interference, we propose a modified baseband BD technology to reduce the information loss in digital beamforming design, thereby improving the system capacity. In addition, the proposed hybrid beamforming algorithm is designed by considering both uniform linear arrays (ULAs) and uniform planar arrays (UPAs). Simulation results demonstrate that the proposed hybrid beamforming design scheme can obtain good performance in terms of the achievable sum-rate and power efficiency in ULAs and UPAs.

DF relay , hybrid beamforming , massive MIMO , mixed structure , mmWave

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School of Information and Communication Engineering, Communication University of China, Beijing, 100024, China
School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China
Department of Engineering, Manchester Metropolitan University, Manchester, M1 5GD, United Kingdom
School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan

School of Information and Communication Engineering
School of Physics and Electronic Information Engineering
Department of Engineering
School of Engineering and Digital Sciences

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