An Efficient Learning Algorithm for Phase Shift Optimization in RIS-Aided MISO Wireless Systems

J Tian, W Guan, X Li, TA Tsiftsis… - … Conference on Wireless …, 2023 - ieeexplore.ieee.org
Due to dynamic change of the wireless environment, devising the local phase shift matrix for
reconfigurable intelligent surface (RIS) can be a thought-provoking task. Therefore, in this …

Deep Reinforcement Learning based Downlink Beamforming and Phase Optimization for RIS-Aided Communication System

L Li, Y Yang, L Bao, Z Gao, Y Wu… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) has been envisioned as a critical technology for the
future wireless communication systems. However, the inter-cell interference and the …

Discrete phase shifts control and beam selection in RIS-aided MISO system via deep reinforcement learning

D Lin, Y Liu - China Communications, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) for wireless networks have drawn lots of attention in
both academic and industry communities. RIS can dynamically control the phases of the …

Joint Optimization of Reconfigurable Intelligent Surfaces and Base Station Beamforming in MISO System Based on Deep Reinforcement Learning

L Ma, X Zhang, J Sun, W Zhang… - 2023 IEEE 97th …, 2023 - ieeexplore.ieee.org
To solve the communication system throughput demand due to the rapid growth of
communication devices and the blocking problem of millimeter-wave (mmWave) …

A Deep Reinforcement Learning Approach to Two-Timescale Transmission for RIS-aided Multiuser MISO systems

H Zhang, X Li, N Gao, X Yi, S Jin - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) has drawn great attention recently as a promising
technology for future wireless networks. In this letter, considering the two-timescale …

Double deep learning for joint phase-shift and beamforming based on cascaded channels in RIS-assisted MIMO networks

K Li, C Huang, Y Gong, G Chen - IEEE wireless …, 2023 - ieeexplore.ieee.org
This letter investigates machine learning approach for the joint optimal phase shift and
beamforming in the reconfigurable intelligent surface (RIS) assisted multiple-input and …

An MRL-Based Design Solution for RIS-Assisted MU-MIMO Wireless System Under Time-Varying Channels

MQA Wu, TH Sang, L Schuhmacher… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Utilizing Deep Reinforcement Learning (DRL) for Reconfigurable Intelligent Surface (RIS)
assisted wireless communication has been extensively researched. However, existing DRL …

Deep Unfolded Fractional Programming Based Beamforming in RIS-Aided MISO Systems

W Xia, Y Jiang, B Zhao, H Zhao… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is a promising solution to programmable wireless
channels. However, most existing RIS phase optimization algorithms, relying on iterative …

Low-Complexity Joint Beamforming for RIS-Assisted MU-MISO Systems Based on Model-Driven Deep Learning

W Jin, J Zhang, CK Wen, S Jin, X Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RIS) can improve signal propagation environments by
adjusting the phase of the incident signal. However, optimizing the phase shifts jointly with …

Deep reinforcement learning based joint downlink beamforming and RIS configuration in RIS-aided MU-MISO systems under hardware impairments and imperfect …

B Saglam, D Gurgunoglu… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We introduce a novel deep reinforcement learning (DRL) approach to jointly optimize
transmit beamforming and reconfigurable intelligent surface (RIS) phase shifts in a multiuser …