Learning-empowered resource allocation for air slicing in UAV-assisted cellular V2X communications
YH Xu, JH Li, W Zhou, C Chen - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
In this article, we propose a resource allocation scheme for air slicing in unmanned aerial
vehicle (UAV)-assisted cellular vehicle-to-everything (V2X) communications. We consider a …
vehicle (UAV)-assisted cellular vehicle-to-everything (V2X) communications. We consider a …
A self-organized approach for neighboring message interaction in UAV swarms
K Yao, J Wang, Y Zhang, Y Xu, Y Xu… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Message interaction among neighborhood is necessary for unmanned aerial vehicles
(UAVs) and Time Division Multiple Access is a feasible implementation by which each UAV …
(UAVs) and Time Division Multiple Access is a feasible implementation by which each UAV …
Resource allocation and trajectory design in UAV-aided cellular networks based on multiagent reinforcement learning
In this article, we focus on a downlink cellular network, where multiple unmanned aerial
vehicles (UAVs) serve as aerial base stations for ground users through frequency-division …
vehicles (UAVs) serve as aerial base stations for ground users through frequency-division …
Outage analysis using probabilistic channel model for drone assisted multi-user coded cooperation system
This paper proposes a statistical-based channel modelling approach for a drone assisted
multi-user coded cooperation (DA-MUCC) for evaluating the performance metrics of a next …
multi-user coded cooperation (DA-MUCC) for evaluating the performance metrics of a next …
Multiagent federated reinforcement learning for resource allocation in UAV-enabled internet of medical things networks
In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …
UAV-assisted vehicular communication for densely crowded environments
Connected and Autonomous Electric Vehicles (CAEVs) are becoming a feature of our roads
in the imminent future. This disruptive technology is likely to enhance the way we get around …
in the imminent future. This disruptive technology is likely to enhance the way we get around …
Dynamic spectrum interaction of UAV flight formation communication with priority: A deep reinforcement learning approach
The formation flights of multiple unmanned aerial vehicles (UAV) can improve the success
probability of single-machine. Dynamic spectrum interaction solves the problem of the …
probability of single-machine. Dynamic spectrum interaction solves the problem of the …
Joint computation offloading, channel access and scheduling optimization in UAV swarms: A game-theoretic learning approach
R Chen, L Cui, M Wang, Y Zhang, K Yao… - IEEE Open Journal …, 2021 - ieeexplore.ieee.org
Coalition-based unmanned aerial vehicle (UAV) swarms havebeen widelyused in urgent
missions. To fasten the completion, mobile edge computing (MEC) has been introduced into …
missions. To fasten the completion, mobile edge computing (MEC) has been introduced into …
Joint coverage and resource allocation for federated learning in UAV-enabled networks
M Yahya, S Maghsudi - 2022 IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
Thanks to its communication efficiency and low latency, federated learning (FL) has
emerged as a promising learning paradigm in the unmanned aerial vehicle (UAV)-enabled …
emerged as a promising learning paradigm in the unmanned aerial vehicle (UAV)-enabled …
Multi-agent reinforcement learning-based coordinated dynamic task allocation for heterogenous UAVs
D Liu, L Dou, R Zhang, X Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The coordinated dynamic task allocation (CDTA) problem for heterogeneous unmanned
aerial vehicles (UAVs) in the presence of environment uncertainty is studied in this paper …
aerial vehicles (UAVs) in the presence of environment uncertainty is studied in this paper …