Publication: Ris-aided angular-based hybrid beamforming design in mmwave massive mimo systems
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KU-Authors
KU Authors
Co-Authors
Koc, Asil
Tho Le-Ngoc
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Abstract
This paper proposes a reconfigurable intelligent surface (RIS)-aided and angular-based hybrid beamforming (AB-HBF) technique for the millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. The proposed RIS-AB-HBF architecture consists of three stages: (i) RF beam-former, (ii) baseband (BB) precoder/combiner, and (iii) RIS phase shift design. First, in order to reduce the number of RF chains and the channel estimation overhead, RF beamformers are designed based on the 3D geometry-based mmWave channel model using slow time-varying angular parameters of the channel. Second, a BB precoder/combiner is designed by exploiting the reduced-size effective channel seen from the BB stages. Then, the phase shifts of the RIS are adjusted to maximize the achievable rate of the system via the nature-inspired particle swarm optimization (PSO) algorithm. Illustrative simulation results demonstrate that the use of RISs in the AB-HBF systems has the potential to provide more promising advantages in terms of reliability and flexibility in system design.
Source
Publisher
IEEE
Subject
Computer science, Information systems, Theory, Methods, Engineering, Electrical, Electronic, Telecommunications
Citation
Has Part
Source
2022 IEEE Global Communications Conference (Globecom 2022)
Book Series Title
Edition
DOI
10.1109/GLOBECOM48099.2022.10001250