Resource Allocation in High Dynamic Multi-UAV Networks for Coverage Continuity: A Reinforcement Learning Approach
In next-generation mobile communication system, unmanned aerial vehicles mounted aerial
base stations (ABSs) are capable of providing on-demand coverage. However, resource …
base stations (ABSs) are capable of providing on-demand coverage. However, resource …
Reinforcement learning based resource allocation for coverage continuity in high dynamic UAV communication networks
Unmanned aerial vehicles mounted aerial base stations (ABSs) are capable of providing on-
demand coverage in next-generation mobile communication system. However, resource …
demand coverage in next-generation mobile communication system. However, resource …
UAV-assisted 5G/6G networks: Joint scheduling and resource allocation based on asynchronous reinforcement learning
Unmanned aerial vehicles (UAVs) can be used as flying base stations (BSs) for providing
wireless communications and coverage enhancement in fifth/sixth-generation (5G/6G) …
wireless communications and coverage enhancement in fifth/sixth-generation (5G/6G) …
Ahead-Me Coverage (AMC): On Maintaining Enhanced Mobile Network Coverage for UAVs
H Hellaoui, B Yang, T Taleb… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
This paper proposes the concept of Ahead-Me Cov-erage (AMC) aiming to get the coverage
of a cellular network ahead of the mobile users for maintaining enhanced Quality-of-Service …
of a cellular network ahead of the mobile users for maintaining enhanced Quality-of-Service …
Deep reinforcement learning for multi-user access control in UAV networks
Unmanned Aerial Vehicles (UAVs) have recently been proposed as flying base stations,
called UAV-BSs, to provide reliable connections and extend the coverage of the existing …
called UAV-BSs, to provide reliable connections and extend the coverage of the existing …
Joint multi-UAV deployment and resource allocation based on personalized federated deep reinforcement learning
Unmanned aerial vehicles (UAVs) are capable of serving as aerial base stations (BSs) for
providing dynamic coverage and connectivity extension for the sixth-generation (6G) …
providing dynamic coverage and connectivity extension for the sixth-generation (6G) …
Deep reinforcement learning for user access control in UAV networks
Unmanned Aerial Vehicles (UAV) are recently proposed as the flying base stations (BS),
namely, UAV-BS, to boost the capacity as well as extend the coverage of the current …
namely, UAV-BS, to boost the capacity as well as extend the coverage of the current …
Adaptive deployment of UAV-aided networks based on hybrid deep reinforcement learning
X Ma, S Hu, D Zhou, Y Zhou… - 2020 IEEE 92nd Vehicular …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be used as air base stations to provide fast wireless
connections for ground users. Due to their constraints on both mobility and energy …
connections for ground users. Due to their constraints on both mobility and energy …
Dense Multi-Agent Reinforcement Learning Aided Multi-UAV Information Coverage for Vehicular Networks
With the rapid development of wireless communication networks, UAVs serving as base
stations are increasingly being applied in various scenarios which not only include edge …
stations are increasingly being applied in various scenarios which not only include edge …
Multi-UAV dynamic wireless networking with deep reinforcement learning
This letter investigates a novel unmanned aerial vehicle (UAV)-enabled wireless
communication system, where multiple UAVs transmit information to multiple ground …
communication system, where multiple UAVs transmit information to multiple ground …