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) …

DRL-based Joint Beamforming Design for RIS-assisted mmWave MU-MISO system

K Long, J Lin, G Zhao, Y Zhou… - 2022 14th International …, 2022 - ieeexplore.ieee.org
Reconfigurable intelligence surface (RIS) is an emerging technology based on digital
metamaterials, which can improve the transmission performance of wireless communication …

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 …

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 …

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 …

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 …

Piecewise-drl: Joint beamforming optimization for ris-assisted mu-miso communication system

J Li, W Wang, R Jiang, X Wang, Z Fei… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the widespread connectivity of everyday devices realized by the advent of the Internet
of Things (IoT), communication between users of different devices has become increasingly …

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 …

Resource Allocation for Multi-Active-RIS assisted MISO Communications via Deep Reinforcement Learning

Y Ma, N Gao, X Li, S Jin - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
As the fifth-generation mobile communication system (5G) is commercially available,
countries around the world have gradually launched research plans for the sixth-generation …