Joint task assignment and spectrum allocation in heterogeneous UAV communication networks: A coalition formation game-theoretic approach

J Chen, Q Wu, Y Xu, N Qi, X Guan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Coalition structure is an efficient networking architecture for task implementation in
unmanned aerial vehicle (UAV) networks. However, both the formation of coalition and the …

Energy efficient task cooperation for multi-UAV networks: A coalition formation game approach

H Luan, Y Xu, D Liu, Z Du, H Qian, X Liu, X Tong - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we study the multi-task cooperation problem for unmanned aerial vehicle
(UAV) swarms, where the UAV energy consumption is taken into consideration during …

Distributed cooperative spectrum sharing in uav networks using multi-agent reinforcement learning

A Shamsoshoara, M Khaledi, F Afghah… - 2019 16th IEEE …, 2019 - ieeexplore.ieee.org
In this paper, we develop a distributed mechanism for spectrum sharing among a network of
unmanned aerial vehicles (UAV) and licensed terrestrial networks. This method can provide …

[HTML][HTML] Joint position optimization, user association, and resource allocation for load balancing in UAV-assisted wireless networks

D Zhai, H Li, X Tang, R Zhang, H Cao - Digital Communications and …, 2022 - Elsevier
Unbalanced traffic distribution in cellular networks results in congestion and degrades
spectrum efficiency. To tackle this problem, we propose an Unmanned Aerial Vehicle (UAV) …

Energy-efficient joint scheduling and resource management for UAV-enabled multicell networks

H Yang, X Xie - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have attracted much attention recently in wireless
communication networks due to their low-cost and flexible deployment. In this paper, we …

A game theory approach for joint access selection and resource allocation in UAV assisted IoT communication networks

S Yan, M Peng, X Cao - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
The growing popularity of Internet of Things (IoT) with the requirements of highly reliable and
low latency has imposed huge challenges to current cellular networks. Using small aerial …

Dynamic spectrum interaction of UAV flight formation communication with priority: A deep reinforcement learning approach

Y Lin, M Wang, X Zhou, G Ding… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Task-driven relay assignment in distributed UAV communication networks

D Liu, J Wang, K Xu, Y Xu, Y Yang, Y Xu… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this paper, we study the distributed relay assignment problem in multi-channel multi-radio
unmanned aerial vehicle (UAV) communication networks. Multi-UAVs are driven by the …

Multi-agent reinforcement learning-based resource allocation for UAV networks

J Cui, Y Liu, A Nallanathan - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are capable of serving as aerial base stations (BSs) for
providing both cost-effective and on-demand wireless communications. This article …

Energy-efficient multi-UAV coverage deployment in UAV networks: A game-theoretic framework

L Ruan, J Wang, J Chen, Y Xu, Y Yang… - China …, 2018 - ieeexplore.ieee.org
UAV cooperative control has been applied in many complex UAV communication networks.
It remains challenging to develop UAV cooperative coverage and UAV energy-efficient …