DDPG learning for aerial RIS-assisted MU-MISO communications

AS Abdalla, V Marojevic - 2022 IEEE 33rd Annual International …, 2022 - ieeexplore.ieee.org
This paper defines the problem of optimizing the downlink multi-user multiple input, single
output (MU-MISO) sum-rate for ground users served by an aerial reconfigurable intelligent …

Long-term CSI-based design for RIS-aided multiuser MISO systems exploiting deep reinforcement learning

H Ren, C Pan, L Wang, W Liu, Z Kou… - IEEE Communications …, 2022 - ieeexplore.ieee.org
In this letter, we study the transmission design for reconfigurable intelligent surface (RIS)-
aided multiuser communication networks. Different from most of the existing contributions …

Statistical CSI-based Beamforming for RIS-Aided Multiuser MISO Systems using Deep Reinforcement Learning

M Eskandari, H Zhu, A Shojaeifard, J Wang - arXiv preprint arXiv …, 2022 - arxiv.org
The paper presents a joint beamforming algorithm using statistical channel state information
(S-CSI) for reconfigurable intelligent surfaces (RIS) for multiuser MISO wireless …

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 …

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 …

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 …

Joint beamforming for RIS-assisted MU-MISO systems based on model-driven deep learning

W Jin, J Zhang, CK Wen, S Jin… - 2023 IEEE 23rd …, 2023 - ieeexplore.ieee.org
This paper aims to maximize the weighted sum rate of a multi-user multiple-input single-
output system that is assisted by reconfigurable intelligent surfaces (RIS). However …

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 …

A robust deep learning-based beamforming design for RIS-assisted multiuser MISO communications with practical constraints

W Xu, L Gan, C Huang - IEEE transactions on Cognitive …, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) has become a promising technology to improve
wireless communication in recent years. It steers the incident signals to create a favorable …

Aerial RIS for MU-MISO: Joint base station beamforming and RIS phase shifter optimization

AS Abdalla, V Marojevic - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
This paper proposes a reconfigurable intelligent surface (RIS), also known as intelligent
reflecting surface (IRS), that is carried by an unmanned aerial vehicle (UAV) to enhance the …