A DRL Approach for RIS-Assisted Full-Duplex UL and DL Transmission: Beamforming, Phase Shift and Power Optimization

N Nayak, S Kalyani… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
We propose a deep reinforcement learning (DRL) approach for a full-duplex (FD)
transmission that predicts the phase shifts of the reconfigurable intelligent surface (RIS) …

Instantaneous channel oblivious phase shift design for an IRS-assisted SIMO system with quantized phase shift

S Shekhar, A Subhash, T Kella, S Kalyani - arXiv preprint arXiv …, 2022 - arxiv.org
We design the phase shifts of an intelligent reflecting surface (IRS)-assisted single-input-
multiple-output communication system to minimize the outage probability (OP) and to …

A Novel Deep Reinforcement Learning-based Approach for Enhancing Spectral Efficiency of IRS-assisted Wireless Systems

F Zohari, SM Shahabi, M Ardebilipour - arXiv preprint arXiv:2302.14706, 2023 - arxiv.org
This letter investigates an intelligent reflecting surfaces (IRS)-enhanced network from
spectral efficiency enhancement point of view for downlink multi-user (MU) multi-input-single …