Meta Reinforcement Learning-based Spectrum Sharing Between RIS-Assisted Cellular Communications and MIMO Radar
New wireless networks together with fixed spectrum allocation have resulted in spectrum
paucity, which has led to the idea of spectrum sharing between radar and communication …
paucity, which has led to the idea of spectrum sharing between radar and communication …
Reconfigurable intelligent surface assisted multiuser MISO systems exploiting deep reinforcement learning
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 …
fabrication of programmable meta-material, has been speculated as one of the key enabling …
Machine-Learning-Based Optimization for Multiple-IRS-Aided Communication System
Due to the benefits of the spectrum and energy efficiency, intelligent reflecting surfaces
(IRSs) are regarded as a promising technology for future networks. In this work, we consider …
(IRSs) are regarded as a promising technology for future networks. In this work, we consider …
Optimal user scheduling in multi antenna system using multi agent reinforcement learning
Multiple Input Multiple Output (MIMO) systems have been gaining significant attention from
the research community due to their potential to improve data rates. However, a suitable …
the research community due to their potential to improve data rates. However, a suitable …
Deep reinforcement learning based spectral efficiency maximization in STAR-RIS-assisted indoor outdoor communication
The significant growth in data consumption among mobile users necessitates the
development of new architecture to meet the increasing demand. On the other hand …
development of new architecture to meet the increasing demand. On the other hand …
Comprehensive review on ML-based RIS-enhanced IoT systems: basics, research progress and future challenges
Sixth generation (6G) internet of things (IoT) networks will modernize the applications and
satisfy user demands through implementing smart and automated systems. Intelligence …
satisfy user demands through implementing smart and automated systems. Intelligence …
Deep learning-based transceiver design for multi-user MIMO systems
Multi-user multiple-input multiple-output (MIMO) is a key technique to increase both the
channel capacity and the number of users that can be served simultaneously. One of the …
channel capacity and the number of users that can be served simultaneously. One of the …
Low-Complexity Joint Beamforming for RIS-Assisted MU-MISO Systems Based on Model-Driven Deep Learning
Reconfigurable intelligent surfaces (RIS) can improve signal propagation environments by
adjusting the phase of the incident signal. However, optimizing the phase shifts jointly with …
adjusting the phase of the incident signal. However, optimizing the phase shifts jointly with …
Joint Spectrum, Precoding, and Phase Shifts Design for RIS-Aided Multiuser MIMO THz Systems
A Mehrabian, VWS Wong - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Terahertz (THz) wireless systems aim to support content-rich applications with ultra-high
data rate. Due to high molecular absorption, THz signals experience severe path loss over …
data rate. Due to high molecular absorption, THz signals experience severe path loss over …
FlyReflect: Joint flying IRS trajectory and phase shift design using deep reinforcement learning
Aerial access infrastructures have been considered a compulsory component of the sixth-
generation (6G) networks, where airborne vehicles play the role of mobile access points to …
generation (6G) networks, where airborne vehicles play the role of mobile access points to …