Multi-UAV trajectory design and power control based on deep reinforcement learning
In this paper, multi-unmanned aerial vehicle (multi-UAV) and multi-user system are studied,
where UAVs are served as aerial base stations (BS) for ground users in the same frequency …
where UAVs are served as aerial base stations (BS) for ground users in the same frequency …
TinyFDRL-Enhanced Energy-Efficient Trajectory Design for Integrated Space-Air-Ground Networks
Space-air-ground integrated networks (SAGINs) hold immense potential for improved
network coverage and dynamic service delivery. Yet, current methods often depend on …
network coverage and dynamic service delivery. Yet, current methods often depend on …
3D deployment and user association of CoMP-assisted multiple aerial base stations for wireless network capacity enhancement
Deploying aerial base stations (AeBSs) has been regarded as an effective solution to
wireless network capacity enhancement in specific areas with excessive traffic burden but …
wireless network capacity enhancement in specific areas with excessive traffic burden but …
A Novel Network Optimization Scheme Based on Anti-flocking and Improved Nash Equilibrium Algorithm
T Wang, S Zhang, L Liu, D Wu, X Jin, S Cen… - IEEE Access, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) has very wide application prospect in aiding terrestrial
cellular network communication, but it remains a challenge to optimize UAV locations and …
cellular network communication, but it remains a challenge to optimize UAV locations and …
Multi-agent DRL for user association and power control in terrestrial-satellite network
X Li, H Zhang, W Li, K Long - 2021 IEEE global …, 2021 - ieeexplore.ieee.org
In the past few years, satellite communications have greatly affected our daily lives. Because
the resources of terrestrial-satellite network are limited, how to allocate resources of …
the resources of terrestrial-satellite network are limited, how to allocate resources of …
Joint power control and scheduling for high-dynamic multi-hop UAV communication: A robust mean field game
As an extensive prospect in communication technology, multi-hop unmanned aerial vehicle
(UAV) faces some challenges as well. How to ensure the availability of time slots in high …
(UAV) faces some challenges as well. How to ensure the availability of time slots in high …
LSTM-characterized deep reinforcement learning for continuous flight control and resource allocation in UAV-assisted sensor network
Unmanned aerial vehicles (UAVs) can be employed to collect sensory data in remote
wireless sensor networks (WSNs). Due to UAV's maneuvering, scheduling a sensor device …
wireless sensor networks (WSNs). Due to UAV's maneuvering, scheduling a sensor device …
Reinforcement Learning-Based Resource Allocation and Energy Efficiency Optimization for a Space–Air–Ground-Integrated Network
Z Chen, H Zhou, S Du, J Liu, L Zhang, Q Liu - Electronics, 2024 - mdpi.com
With the construction and development of the smart grid, the power business puts higher
requirements on the communication capability of the network. In order to improve the energy …
requirements on the communication capability of the network. In order to improve the energy …
Joint Delay and Throughput Network Resource Orchestration in SAGIN Based on SDN
YX Yang, B Li, YD Liu, JX Dai, JH He… - … on Computer and …, 2023 - ieeexplore.ieee.org
Due to the convergence of rapidly evolving terrestrial, airborne, and satellite communication
networks, the space-air-ground integrated network (SAGIN) will be an important architecture …
networks, the space-air-ground integrated network (SAGIN) will be an important architecture …
Intelligent Aerial Relay Deployment for Enhancing Connectivity in Emergency Communications
Guaranteeing stable connectivity for emergency communications in rural and remote areas
(eg, to transfer highquality video for remote surgery) has been challenging for any cellular …
(eg, to transfer highquality video for remote surgery) has been challenging for any cellular …