Joint Optimization of Trajectory Control, Resource Allocation and User Association Based on DRL for Multi-Fixed-Wing UAV Networks
Owing to the abundance of onboard energy and wide coverage, fixed-wing unmanned
aerial vehicles (FW-UAVs) have better capabilities to serve as aerial base stations, thereby …
aerial vehicles (FW-UAVs) have better capabilities to serve as aerial base stations, thereby …
Energy efficient 3-D UAV control for persistent communication service and fairness: A deep reinforcement learning approach
Recently, unmanned aerial vehicles (UAVs) as flying wireless communication platform have
attracted much attention. Benefiting from the mobility, UAV aerial base stations can be …
attracted much attention. Benefiting from the mobility, UAV aerial base stations can be …
Joint power allocation and 3D deployment for UAV-BSs: A game theory based deep reinforcement learning approach
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 …
communications due to its flexibility and low-cost feature. Ultra-dense unnamed aerial …
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks
Y Qin, Y Yang, F Tang, X Yao, M Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Space-Air-Ground Integrated Network (SAGIN) plays a pivotal role as a comprehensive
foundational network communication infrastructure, presenting opportunities for highly …
foundational network communication infrastructure, presenting opportunities for highly …
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) …
AI-enabled space-air-ground integrated networks: Management and optimization
AI-enabled Beyond 5G (B5G) and 6G technologies are promising candidates to support the
future generation Space-Air-Ground Integrated Networks (SAGINs). The highly dynamic …
future generation Space-Air-Ground Integrated Networks (SAGINs). The highly dynamic …
Joint optimization of resource allocation and multi-UAV trajectory in space-air-ground IoRT networks
Given suburban and rural areas with limited ground infrastructure, the Internet of Remote
Things (IoRT) is considered as a promising way to provide services for smart devices that …
Things (IoRT) is considered as a promising way to provide services for smart devices that …
Energy-Efficient UAV Trajectory Plan for 6G Networks
P Qin, X Wu, X Zhao, H Zhao - International Conference in …, 2022 - Springer
Leveraging UAVs for access and Altitude Platform Stations (HAPSs) for data backhaul to
construct the Air-Ground Integrated Network (AGIN) is a feasible solution to achieve …
construct the Air-Ground Integrated Network (AGIN) is a feasible solution to achieve …
Deep-reinforcement-learning-based optimal transmission policies for opportunistic UAV-aided wireless sensor network
Y Liu, J Yan, X Zhao - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
When there are unmanned aerial vehicles (UAVs) performing their specifically assigned
tasks in the air, some of them still have available resources to access different ground …
tasks in the air, some of them still have available resources to access different ground …
Joint Resource Management and Deployment Optimization for Heterogeneous Aerial Networks with Backhaul Constraints
D Zhai, Y Jiang, Q Shi, R Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
How to improve the coverage capability of network including connectivity and throughput is
vital for enabling the Internet of Everything (IoE) in B5G/6G. However, the traditional …
vital for enabling the Internet of Everything (IoE) in B5G/6G. However, the traditional …