AI models for green communications towards 6G
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
The drone scheduling problem: A systematic state-of-the-art review
Drones are receiving popularity with time due to their advanced mobility. Although they were
initially deployed for military purposes, they now have a wide array of applications in various …
initially deployed for military purposes, they now have a wide array of applications in various …
3D UAV trajectory and data collection optimisation via deep reinforcement learning
Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the
network performance and coverage in wireless communication. However, due to the …
network performance and coverage in wireless communication. However, due to the …
RIS-assisted UAV communications for IoT with wireless power transfer using deep reinforcement learning
Many of the devices used in Internet-of-Things (IoT) applications are energy-limited, and
thus supplying energy while maintaining seamless connectivity for IoT devices is of …
thus supplying energy while maintaining seamless connectivity for IoT devices is of …
[HTML][HTML] Intelligent reflecting surfaces assisted UAV communications for massive networks: current trends, challenges, and research directions
An intelligent reflecting surface (IRS) can intelligently configure wavefronts such as
amplitude, frequency, phase, and even polarization through passive reflections and without …
amplitude, frequency, phase, and even polarization through passive reflections and without …
AI-enabled UAV communications: Challenges and future directions
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …
concentration as a talented technology for future wireless communications using its …
UAV-enabled ultra-reliable low-latency communications for 6G: A comprehensive survey
Ultra-reliable low-latency communications (URLLCs) and the adoption of unmanned aerial
vehicles (UAVs) for network coverage improvement have emerged as key enabling …
vehicles (UAVs) for network coverage improvement have emerged as key enabling …
Reconfigurable intelligent surface-assisted multi-UAV networks: Efficient resource allocation with deep reinforcement learning
KK Nguyen, SR Khosravirad… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
In this paper, we propose reconfigurable intelligent surface (RIS)-assisted unmanned aerial
vehicles (UAVs) networks that can utilise both advantages of UAV's agility and RIS's …
vehicles (UAVs) networks that can utilise both advantages of UAV's agility and RIS's …
Practical optimization and game theory for 6G ultra-dense networks: Overview and research challenges
Ultra-dense networks (UDNs) have been employed to solve the pressing problems in
relation to the increasing demand for higher coverage and capacity of the fifth generation …
relation to the increasing demand for higher coverage and capacity of the fifth generation …
[HTML][HTML] RIS-carried UAV communication: Current research, challenges, and future trends
N Rahmatov, H Baek - ICT Express, 2023 - Elsevier
Enhanced quality of service (QoS) and resource allocation are important measurements in a
mobile communication system. Compared to traditional mobile networks, 6G uses spectrum …
mobile communication system. Compared to traditional mobile networks, 6G uses spectrum …