A Deep Learning Scheme for Integrated Active and Passive Beamforming in Reconfigurable Intelligent Surface Aided Wireless MISO Networks

VD Potu, VS Sunku, M Mounika… - … Signal Processing and …, 2022 - ieeexplore.ieee.org
The fifth-generation wireless networks deployment has stared since 2020. We consider a
Reconfigurable Intelligent Surface (RIS) aided multi-user multiple-input single-output (MISO) …

Hybrid reinforcement learning for STAR-RISs: A coupled phase-shift model based beamformer

R Zhong, Y Liu, X Mu, Y Chen, X Wang… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
A simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)
assisted multi-user downlink multiple-input single-output (MISO) communication system is …

Robust beamforming for RIS-aided communications: Gradient-based manifold meta learning

F Zhu, X Wang, C Huang, Z Yang, X Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Reconfigurable intelligent surface (RIS) has become a promising technology to realize the
programmable wireless environment via steering the incident signal in fully customizable …

Low-complexity channel estimation and passive beamforming for RIS-assisted MIMO systems relying on discrete phase shifts

J An, C Xu, L Gan, L Hanzo - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) are capable of enhancing the capacity of wireless
networks at a low cost. In practical RIS-assisted communication systems, the acquisition of …

Deep reinforcement learning based on location-aware imitation environment for RIS-aided mmWave MIMO systems

W Xu, J An, C Huang, L Gan… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) has recently gained popularity as a promising
solution for improving the signal transmission quality of wireless communications with less …

DRL-Based Beamforming Design in RIS-Aided Multi-user Wireless Networks

K Singh, H Albinsaid, SK Singh, C Pan… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
This paper proposes a deep reinforcement learning (DRL) based passive beamforming
design in a reconfigurable intelligent surface (RIS) aided multi-user wireless network. In …

Unsupervised learning-based joint active and passive beamforming design for reconfigurable intelligent surfaces aided wireless networks

H Song, M Zhang, J Gao… - ieee communications …, 2020 - ieeexplore.ieee.org
This letter consider a reconfigurable intelligent surface (RIS) aided multi-user multiple-input
single-output (MISO) downlink system, where transmit beamforming and phase shifts of RIS …

Multi-Agent DRL Approach to Two-Timescale Transmission for RIS-Aided MU-MISO Systems

Y Wang, H Zhang, X Li, L Liang… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) have become one of the key enabling
technologies of the sixth generation (6G) wireless communications. In this paper, we …

Reconfigurable intelligent surface assisted multiuser MISO systems exploiting deep reinforcement learning

C Huang, R Mo, C Yuen - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
Recently, the reconfigurable intelligent surface (RIS), benefited from the breakthrough on the
fabrication of programmable meta-material, has been speculated as one of the key enabling …

A novel discrete phase shift design for RIS-assisted multi-user MIMO

P Ramezani, Y Khorsandmanesh… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is a newly-emerged technology that might
fundamentally change how wireless networks are operated. Though extensively studied in …