Deep reinforcement learning for internet of drones networks: issues and research directions

N Aboueleneen, A Alwarafy… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Internet of Drones (IoD) is one of the promising technologies to enhance the performance of
wireless networks. Deploying IoD to assist wireless networks, however, needs to address …

Applications of deep reinforcement learning in communications and networking: A survey

NC Luong, DT Hoang, S Gong, D Niyato… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …

Recent studies on deep reinforcement learning in RIS-UAV communication networks

TH Nguyen, H Park, L Park - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS) technologies
have recently been identified as enablers for future wireless networks. Deep reinforcement …

An overview of intelligent wireless communications using deep reinforcement learning

Y Huang, C Xu, C Zhang, M Hua… - … of Communications and …, 2019 - ieeexplore.ieee.org
Future wireless communication networks tend to be intelligentized to accomplish the
missions that cannot be preprogrammed. In the new intelligent communication systems …

Drone deep reinforcement learning: A review

AT Azar, A Koubaa, N Ali Mohamed, HA Ibrahim… - Electronics, 2021 - mdpi.com
Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and
diversified applications. These applications belong to the civilian and the military fields. To …

Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey

MS Frikha, SM Gammar, A Lahmadi… - Computer Communications, 2021 - Elsevier
Nowadays, many research studies and industrial investigations have allowed the integration
of the Internet of Things (IoT) in current and future networking applications by deploying a …

A survey on applications of reinforcement learning in flying ad-hoc networks

S Rezwan, W Choi - Electronics, 2021 - mdpi.com
Flying ad-hoc networks (FANET) are one of the most important branches of wireless ad-hoc
networks, consisting of multiple unmanned air vehicles (UAVs) performing assigned tasks …

Power control in Internet of Drones by deep reinforcement learning

J Yao, N Ansari - … 2020-2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Internet of Drones (IoD) employs drones as the internet of things (IoT) devices to provision
applications such as traffic surveillance and object tracking. Data collection service is a …

Deep-reinforcement-learning-based drone base station deployment for wireless communication services

GB Tarekegn, RT Juang, HP Lin… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Over the last few years, drone base station (DBS) technology has been recognized as a
promising solution to the problem of network design for wireless communication systems …

Drone-assisted cellular networks: A multi-agent reinforcement learning approach

SE Hammami, H Afifi, H Moungla… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Drone-cell technology is emerging as a solution to support and backup the cellular network
architecture. cell-drones are flexible and provide a more dynamic solution for resource …