[HTML][HTML] Adaptive federated reinforcement learning for critical realtime communications in UAV assisted vehicular networks
J Hao, R Naja, D Zeghlache - Computer Networks, 2024 - Elsevier
This paper sheds the light on road active safety measurements implemented in unmanned
aerial vehicles assisted vehicular networks. Despite the great potential of deploying high …
aerial vehicles assisted vehicular networks. Despite the great potential of deploying high …
[HTML][HTML] Federated Reinforcement Learning for Collaborative Intelligence in UAV-Assisted C-V2X Communications
A Gupta, X Fernando - Drones, 2024 - mdpi.com
This paper applies federated reinforcement learning (FRL) in cellular vehicle-to-everything
(C-V2X) communication to enable vehicles to learn communication parameters in …
(C-V2X) communication to enable vehicles to learn communication parameters in …
Dispatch of UAVs for urban vehicular networks: A deep reinforcement learning approach
Due to the dynamic nature of connectivity in terrestrial vehicular networks, it is of great
benefit to deploy unmanned aerial vehicles (UAVs) in these networks to act as relays. As a …
benefit to deploy unmanned aerial vehicles (UAVs) in these networks to act as relays. As a …
Aerodynamics-based Collision-free Control of Connected Drones in Complex Urban Low-altitude Airspace Using Distributional Reinforcement Learning
Recent growth in the number of drones has made traffic management unworkable,
particularly in urban areas. The safe operation and optimized navigation of drone swarms …
particularly in urban areas. The safe operation and optimized navigation of drone swarms …
A multi-agent reinforcement learning-based approach for uav-assisted vehicle-to-everything network
Considering the stringent delay requirements in some use cases of V2X networks, relying
only on cloud computing to execute some tasks of vehicles is sometimes infeasible …
only on cloud computing to execute some tasks of vehicles is sometimes infeasible …
Deep reinforcement learning for unmanned aerial vehicle-assisted vehicular networks
Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G communication
infrastructure in future smart cities. Hot spots easily appear in road intersections, where …
infrastructure in future smart cities. Hot spots easily appear in road intersections, where …
Leveraging UAVs for coverage in cell-free vehicular networks: A deep reinforcement learning approach
The success in transitioning towards smart cities relies on the availability of information and
communication technologies that meet the demands of this transformation. The terrestrial …
communication technologies that meet the demands of this transformation. The terrestrial …
[HTML][HTML] Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networks
Unmanned aerial vehicles (UAVs) are increasingly deployed to provide wireless
connectivity to static and mobile ground users in situations of increased network demand or …
connectivity to static and mobile ground users in situations of increased network demand or …
Collision Avoidance Control for Connected Drones in Air-Intersections
In the past decade, the interest in automatic drones has constantly led to increasing the
number of drones and made air traffic management prohibitive, especially in urban …
number of drones and made air traffic management prohibitive, especially in urban …
Autonomous drones for medical assistance using reinforcement learning
In recent years, usage of the unmanned aerial vehicle in various fields has developed
rapidly. Drones have the potential to be reliable medical delivery platforms for …
rapidly. Drones have the potential to be reliable medical delivery platforms for …