RIS-Aided Angular-Based Hybrid Beamforming Design in mmWave Massive MIMO Systems - Ibrahim Yildirim

The paper is available at https://arxiv.org/abs/2208.06622

This study has been accepted for presentation at the IEEE GLOBECOM 2022, December 4 - 8, in Rio de Janeiro, Brazil.

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 beamformer, (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.

E-mail: [email protected]

00:00 Introduction
00:53 Reconfigurable Intelligent Surface
01:39 Hybrid Precoding/Combining
03:48 System Model
05:47 Channel Model
06:59 RIS-Aided Angular-Based Hybrid Beamforming
10:45 Simulation Results
14:38 Final Remarks

#Reconfigurableintelligentsurface
#MassiveMIMO
#Hybridbeamforming
#6g
#Intelligentsurface
#Metasurface