Multi-agent deep reinforcement learning for joint decoupled user association and trajectory design in full-duplex multi-UAV networks
In multi-UAV networks, the downlink (DL) and uplink (UL) associations between a UAV and
a user equipment (UE) is typically coupled, which restricts each UE to associate to the same …
a user equipment (UE) is typically coupled, which restricts each UE to associate to the same …
Full-duplex UAV relaying for multiple user pairs
Based on the advantages of small size, lightweight, as well as flexible deployment and
recycling, unmanned aerial vehicle (UAV) has been more and more widely used in military …
recycling, unmanned aerial vehicle (UAV) has been more and more widely used in military …
Joint resource allocation and trajectory design for multi-UAV systems with moving users: Pointer network and unfolding
As an important part of the fifth generation (5G) mobile networks, unmanned aerial vehicles
(UAVs) have been applied in various communication scenarios due to their high operability …
(UAVs) have been applied in various communication scenarios due to their high operability …
Deep reinforcement learning-based resource allocation in cooperative UAV-assisted wireless networks
We consider the downlink of an unmanned aerial vehicle (UAV) assisted cellular network
consisting of multiple cooperative UAVs, whose operations are coordinated by a central …
consisting of multiple cooperative UAVs, whose operations are coordinated by a central …
Multi-agent deep reinforcement learning for secure UAV communications
In this paper, we investigate a multi-unmanned aerial vehicle (UAV) cooperation mechanism
for secure communications, where the UAV transmitter moves around to serve the multiple …
for secure communications, where the UAV transmitter moves around to serve the multiple …
Decoupled association with rate splitting multiple access in UAV-assisted cellular networks using multi-agent deep reinforcement learning
In unmanned aerial vehicles (UAVs) assisted cellular networks, user association plays an
important role in interference control and spectrum efficiency. In this paper, we study the …
important role in interference control and spectrum efficiency. In this paper, we study the …
QoE-driven adaptive deployment strategy of multi-UAV networks based on hybrid deep reinforcement learning
Y Zhou, X Ma, S Hu, D Zhou… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) serve as aerial base stations to provide controlled
wireless connections for ground users. Due to their constraints on both mobility and energy …
wireless connections for ground users. Due to their constraints on both mobility and energy …
Simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning
Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the
full potential of UAVs in the future by reusing the cellular base stations (BSs) to enable their …
full potential of UAVs in the future by reusing the cellular base stations (BSs) to enable their …
Multi-UAV-assisted MEC system: Joint association and resource management framework
In this paper, we study an energy-efficient multi-UAV-assisted multi-access edge computing
(MEC) system in which unmanned aerial vehicles (UAVs) equipped with MEC servers offer …
(MEC) system in which unmanned aerial vehicles (UAVs) equipped with MEC servers offer …
Deep reinforcement learning based computation offloading and trajectory planning for multi-UAV cooperative target search
Unmanned aerial vehicles (UAVs) are widely used for surveillance and monitoring to
complete target search tasks. However, the short battery life and moderate computational …
complete target search tasks. However, the short battery life and moderate computational …
相关搜索
- trajectory design user association
- deep reinforcement trajectory planning
- deep reinforcement wireless networks
- deep reinforcement computation offloading
- simultaneous navigation reinforcement learning
- radio mapping reinforcement learning
- deep reinforcement resource allocation
- decoupled association cellular networks
- moving users pointer network
- joint association resource management
- moving users resource allocation
- trajectory design moving users
- trajectory design pointer network
- trajectory design resource allocation