Deep reinforcement learning and NOMA-based multi-objective RIS-assisted IS-UAV-TNs: trajectory optimization and beamforming design

K Guo, M Wu, X Li, H Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we discuss the co-optimized performance of multi-reconfigurable intelligent
surface (RIS)-assisted integrated satellite-unmanned aerial vehicle-terrestrial network (IS …

Capacity maximization in RIS-UAV networks: a DDQN-based trajectory and phase shift optimization approach

H Zhang, M Huang, H Zhou, X Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Reconfigurable Intelligent Surface (RIS) has grown rapidly due to its performance
improvement for wireless networks, and the integration of unmanned aerial vehicle (UAV) …

3D-trajectory and phase-shift design for RIS-assisted UAV systems using deep reinforcement learning

H Mei, K Yang, Q Liu, K Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) can effectively work as temporary base station or access
point in the air to transfer/receive data to/from ground terminals (GTs). However, UAV-GT …

RIS-aided ground-aerial NOMA communications: A distributionally robust DRL approach

J Zhao, L Yu, K Cai, Y Zhu, Z Han - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
A reconfigurable intelligent surface (RIS) aided air-to-ground uplink non-orthogonal
transmission framework is investigated for next generation multiple access. Occupying the …

Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UAV-assisted mobile edge computing

F Song, H Xing, X Wang, S Luo, P Dai… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article studies the trajectory control and task offloading (TCTO) problem in an
unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies …

Resource allocation and 3D trajectory design for power-efficient IRS-assisted UAV-NOMA communications

Y Cai, Z Wei, S Hu, C Liu, DWK Ng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, an intelligent reflecting surface (IRS) is introduced to assist an unmanned
aerial vehicle (UAV) communication system based on non-orthogonal multiple access …

UAV-supported clustered NOMA for 6G-enabled Internet of Things: Trajectory planning and resource allocation

Z Na, Y Liu, J Shi, C Liu, Z Gao - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The sixth-generation (6G) communication requires supporting massive Internet of Things
(IoT) devices and extremely differentiated IoT applications for the air–space–ground …

Multi-agent deep reinforcement learning based transmission latency minimization for delay-sensitive cognitive satellite-uav networks

S Guo, X Zhao - IEEE Transactions on Communications, 2022 - ieeexplore.ieee.org
With the ubiquitous deployment of a massive number of Internet-of-Things (IoT) devices, the
satellite-aerial networks are becoming a promising candidate to provide flexible and …

Constrained deep reinforcement learning for energy sustainable multi-UAV based random access IoT networks with NOMA

S Khairy, P Balaprakash, LX Cai… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
In this paper, we apply the Non-Orthogonal Multiple Access (NOMA) technique to improve
the massive channel access of a wireless IoT network where solar-powered Unmanned …

Energy-efficient resource allocation for dual-NOMA-UAV assisted Internet of Things

Z Liu, X Liu, VCM Leung… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Employing unmanned aerial vehicles (UAVs) characterized by low cost, high
maneuverability, and on-demand deployment as aerial base stations (BSs) of Internet of …