Deep reinforcement learning based joint active and passive beamforming design for RIS-assisted MISO systems
Owing to the unique advantages of low cost and controllability, reconfigurable intelligent
surface (RIS) is a promising candidate to address the blockage issue in millimeter wave …
surface (RIS) is a promising candidate to address the blockage issue in millimeter wave …
DRL-based joint beamforming and BS-RIS-UE association design for RIS-assisted mmWave networks
Reconfigurable intelligent surface (RIS) is considered as an extraordinarily promising
technology to solve the blockage problem of millimeter wave (mmWave) communications …
technology to solve the blockage problem of millimeter wave (mmWave) communications …
A robust deep learning-based beamforming design for RIS-assisted multiuser MISO communications with practical constraints
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 …
wireless communication in recent years. It steers the incident signals to create a favorable …
Deep reinforcement learning-empowered beamforming design for IRS-assisted MISO interference channels
Intelligent reflecting surface (IRS) is a promising technology to enable programmable
wireless propagation environments, by dynamically adjusting its phase shifters. Unlike most …
wireless propagation environments, by dynamically adjusting its phase shifters. Unlike most …
Piecewise-drl: Joint beamforming optimization for ris-assisted mu-miso communication system
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 …
of Things (IoT), communication between users of different devices has become increasingly …
Hybrid beamforming for mmWave MU-MISO systems exploiting multi-agent deep reinforcement learning
In this letter, we investigate the hybrid beamforming based on deep reinforcement learning
(DRL) for millimeter Wave (mmWave) multi-user (MU) multiple-input-single-output (MISO) …
(DRL) for millimeter Wave (mmWave) multi-user (MU) multiple-input-single-output (MISO) …
Deep reinforcement learning based on location-aware imitation environment for RIS-aided mmWave MIMO systems
Reconfigurable intelligent surface (RIS) has recently gained popularity as a promising
solution for improving the signal transmission quality of wireless communications with less …
solution for improving the signal transmission quality of wireless communications with less …
Deep reinforcement learning based beamforming codebook design for RIS-aided mmWave systems
Reconfigurable intelligent surfaces (RISs) are envisioned to play a pivotal role in future
wireless systems with the capability of enhancing propagation environments by intelligently …
wireless systems with the capability of enhancing propagation environments by intelligently …
Two-timescale-based beam training for RIS-aided millimeter-wave multi-user MISO systems
Reconfigurable intelligent surfaces (RISs), as a promising technology for 6 G
communications, have received considerable attention. Herein, we investigate the downlink …
communications, have received considerable attention. Herein, we investigate the downlink …
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 …
transmit beamforming and reconfigurable intelligent surface (RIS) phase shifts in a multiuser …
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