Reinforcement learning-based intelligent control strategies for optimal power management in advanced power distribution systems: A survey

M Al-Saadi, M Al-Greer, M Short - Energies, 2023 - mdpi.com
Intelligent energy management in renewable-based power distribution applications, such as
microgrids, smart grids, smart buildings, and EV systems, is becoming increasingly important …

[HTML][HTML] Non-Terrestrial UAV clients for beyond 5G networks: A comprehensive survey

MMH Qazzaz, SA Zaidi, D McLernon, AM Hayajneh… - Ad Hoc Networks, 2024 - Elsevier
The rapid proliferation of consumer UAVs, or drones, is reshaping the wireless
communication landscape. These agile, autonomous devices find new life as UE in cellular …

Deep reinforcement learning for uav routing in the presence of multiple charging stations

M Fan, Y Wu, T Liao, Z Cao, H Guo… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Deploying Unmanned Aerial Vehicles (UAVs) for traffic monitoring has been a hotspot given
their flexibility and broader view. However, a UAV is usually constrained by battery capacity …

Joint power allocation and 3D deployment for UAV-BSs: A game theory based deep reinforcement learning approach

S Fu, X Feng, A Sultana, L Zhao - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Ultra-dense unmanned aerial vehicle (UAV) plays an important role in the field of
communications due to its flexibility and low-cost feature. Ultra-dense unnamed aerial …

Mobile edge computing (MEC)-enabled UAV placement and computation efficiency maximization in disaster scenario

Z Shah, U Javed, M Naeem… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are considered for disaster management to provide better
coverage or help first responders provide advanced services. Furthermore, UAVs combined …

3D radio map-based GPS spoofing detection and mitigation for cellular-connected UAVs

Y Dang, A Karakoc, S Norshahida… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the upcoming 5G and beyond wireless communication system, cellular-connected
Unmanned Aerial Vehicles (UAVs) are emerging as a new pattern to give assistance for …

Collaborative relay for achieving long-term and low-AoI data collection in UAV-aided IoT systems

X Fu, X Huang, Q Pan - Vehicular Communications, 2024 - Elsevier
Abstract In Internet of Things (IoT) systems, sensor nodes are frequently placed in remote
and unattended locations to monitor environmental data. One significant challenge is …

Decentralized navigation with heterogeneous federated reinforcement learning for UAV-enabled mobile edge computing

P Wang, H Yang, G Han, R Yu, L Yang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing has been proposed as an
efficient task-offloading solution for user equipments (UEs). Nevertheless, the presence of …

Low complexity online RL enabled UAV trajectory planning considering connectivity and obstacle avoidance constraints

MMH Qazzaz, SA Zaidi, D McLernon… - … Sea Conference on …, 2023 - ieeexplore.ieee.org
In recent years, we have witnessed a significant proliferation of UAV s to service variety of
verticals, including last-mile delivery, medical assistance, crop monitoring etc. The true utility …

Minimizing age of information for hybrid uav-ris-assisted vehicular networks

W Qi, C Yang, Q Song, Y Guan, L Guo… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Periodic data collection from numerous vehicular onboard sensors is necessary for aiding
decision making in complex navigation and autonomous driving applications. The temporal …