Applications of multi-agent reinforcement learning in future internet: A comprehensive survey
Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
[HTML][HTML] Handover management for drones in future mobile networks—A survey
Drones have attracted extensive attention for their environmental, civil, and military
applications. Because of their low cost and flexibility in deployment, drones with …
applications. Because of their low cost and flexibility in deployment, drones with …
空天地一体化网络技术: 探索与展望
沈学民， 承楠， 周海波， 吕丰， 权伟， 时伟森… - 物联网 …, 2020 - infocomm-journal.com
随着信息技术的不断发展, 信息服务的空间范畴不断扩大, 各种天基, 空基, 海基,
地基网络服务不断涌现, 对多维综合信息资源的需求也逐步提升. 空天地一体化网络可以为 …
地基网络服务不断涌现, 对多维综合信息资源的需求也逐步提升. 空天地一体化网络可以为 …
Deep reinforcement learning for throughput improvement of the uplink grant-free NOMA system
Facing the dramatic increase of mobile devices and the scarcity of spectrum resources, grant-
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …
Trajectory design and access control for air–ground coordinated communications system with multiagent deep reinforcement learning
Unmanned-aerial-vehicle (UAV)-assisted communications has attracted increasing attention
recently. This article investigates air–ground coordinated communications system, in which …
recently. This article investigates air–ground coordinated communications system, in which …
Deep reinforcement learning for multi-user access control in non-terrestrial networks
Non-Terrestrial Networks (NTNs) composed of space-borne (eg, satellites) and airborne
vehicles (eg, drones and blimps) have recently been proposed by 3GPP as a new paradigm …
vehicles (eg, drones and blimps) have recently been proposed by 3GPP as a new paradigm …
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 …
Bandwidth allocation and trajectory control in UAV-assisted IoV edge computing using multiagent reinforcement learning
J Wang, X Zhang, X He, Y Sun - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The rapid development of an unmanned aerial vehicle (UAV) has brought new opportunities
for wireless communication and edge computing. In this article, we investigate the scenario …
for wireless communication and edge computing. In this article, we investigate the scenario …
Reinforcement learning for energy efficiency improvement in UAV-BS access networks: A knowledge transfer scheme
Z Hu, Y Zhang, H Huang, X Wen, O Agbodike… - … Applications of Artificial …, 2023 - Elsevier
Recently the possibility of forming unmanned aerial vehicle base station (UAV-BS) network
systems with energy harvesting capabilities to support persistent wireless access services …
systems with energy harvesting capabilities to support persistent wireless access services …
DP-Authentication: A novel deep learning based drone pilot authentication scheme
Abstract Unmanned Aerial Vehicles (UAVs), also known as drones, have recently been
proposed as flying base stations for providing reliable service to IoT devices. However, due …
proposed as flying base stations for providing reliable service to IoT devices. However, due …