TD3-Based Optimization Framework for RSMA-Enhanced UAV-Aided Downlink Communications in Remote Areas
The need for reliable wireless communication in remote areas has led to the adoption of
unmanned aerial vehicles (UAVs) as flying base stations (FlyBSs). FlyBSs hover over a …
unmanned aerial vehicles (UAVs) as flying base stations (FlyBSs). FlyBSs hover over a …
Trajectory design in multi-UAV-assisted RSMA downlink communication
In this study, we investigate the multi-UAV trajec-tory design problem for downlink rate
splitting multiple (RSMA) access, and design the movement function for the UAVs with its …
splitting multiple (RSMA) access, and design the movement function for the UAVs with its …
[HTML][HTML] On sum-rate maximization in downlink UAV-aided RSMA systems
The synergy of uncrewed aerial vehicles (UAVs) and the rate-splitting multiple access
(RSMA) technique has thrived as a crucial enabler for multi-user broadband sixth …
(RSMA) technique has thrived as a crucial enabler for multi-user broadband sixth …
Deep reinforcement learning-based optimization for RIS-based UAV-NOMA downlink networks
This study investigates the application of deep deterministic policy gradient (DDPG) to
reconfigurable intelligent surface (RIS)-based unmanned aerial vehicles (UAV)-assisted non …
reconfigurable intelligent surface (RIS)-based unmanned aerial vehicles (UAV)-assisted non …
Multi-UAV IRS-assisted communications: multi-node channel modeling and fair sum-rate optimization via deep reinforcement learning
Unmanned aerial vehicles (UAVs) combined with intelligent reflective surfaces (IRSs)
represent a cutting-edge technology for improving the channel capacity of wireless …
represent a cutting-edge technology for improving the channel capacity of wireless …
Radio resource management for cellular-connected UAV: a learning approach
Y Li, AH Aghvami - IEEE Transactions on Communications, 2023 - ieeexplore.ieee.org
Integrating unmanned aerial vehicles (UAVs) into existing cellular networks encounters lots
of challenges, among which one of the most striking concerns is how to achieve harmonious …
of challenges, among which one of the most striking concerns is how to achieve harmonious …
Trajectory design and access control for air–ground coordinated communications system with multiagent deep reinforcement learning
Unmanned-aerial-vehicle (UAV)-assisted communications has attracted increasing attention
recently. This article investigates air–ground coordinated communications system, in which …
recently. This article investigates air–ground coordinated communications system, in which …
Deep reinforcement learning based optimization for IRS based UAV-NOMA downlink networks
This paper investigates the application of deep deterministic policy gradient (DDPG) to
intelligent reflecting surface (IRS) based unmanned aerial vehicles (UAV) assisted non …
intelligent reflecting surface (IRS) based unmanned aerial vehicles (UAV) assisted non …
Deep reinforcement learning based rate enhancement scheme for RIS assisted mobile users underlaying UAV
The fifth generation (5G) network enabled communication between devices has emerged as
a state-of-the-art technology. In the era of proliferating smart devices and intelligent wireless …
a state-of-the-art technology. In the era of proliferating smart devices and intelligent wireless …
Decoupled association with rate splitting multiple access in UAV-assisted cellular networks using multi-agent deep reinforcement learning
In unmanned aerial vehicles (UAVs) assisted cellular networks, user association plays an
important role in interference control and spectrum efficiency. In this paper, we study the …
important role in interference control and spectrum efficiency. In this paper, we study the …