Department of Electrical and Electronics Engineering2024-12-292022978-1-6654-3540-62334-098310.1109/GLOBECOM48099.2022.100012502-s2.0-85146938045https://doi.org/10.1109/GLOBECOM48099.2022.10001250https://hdl.handle.net/20.500.14288/23542This 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.Computer scienceInformation systemsTheoryMethodsEngineeringElectricalElectronicTelecommunicationsConference proceeding2576-6813922633505052N/A41685