Online trajectory and resource optimization for stochastic UAV-enabled MEC systems

Z Yang, S Bi, YJA Zhang - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
The recent development of unmanned aerial vehicle (UAV) and mobile edge computing
(MEC) technologies provides flexible and resilient computation services to mobile users out …

Energy-efficient trajectory optimization for UAV-assisted IoT networks

L Zhang, A Celik, S Dang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we propose and study an energy-efficient trajectory optimization scheme for
unmanned aerial vehicle (UAV) assisted Internet of Things (IoT) networks. In such networks …

Joint computation offloading and trajectory planning for UAV-assisted edge computing

C Sun, W Ni, X Wang - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
With excellent flexibility, unmanned aerial vehicles (UAVs) can act as airborne computing
servers to assist smart terminals (STs) with their computationally-intense and delay-sensitive …

Aerial–ground cost tradeoff for multi-UAV-enabled data collection in wireless sensor networks

C Zhan, Y Zeng - IEEE Transactions on Communications, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled communication has emerged as an appealing
technology for efficient data collection in wireless sensor networks (WSNs). This paper …

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 …

UAV-enabled wireless power transfer with base station charging and UAV power consumption

H Yan, Y Chen, SH Yang - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Wireless power transfer (WPT) is a promising charging technology for battery-limited
sensors. In this paper, we study the use of an unmanned aerial vehicle (UAV) as a charger …

Energy-efficient UAV backscatter communication with joint trajectory design and resource optimization

G Yang, R Dai, YC Liang - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
Backscatter communication which enables wireless-powered backscatter devices (BDs) to
transmit information by reflecting incident signals, is an energy-and cost-efficient …

Service caching based aerial cooperative computing and resource allocation in multi-UAV enabled MEC systems

G Zheng, C Xu, M Wen, X Zhao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Service caching refers to caching the necessary programs or/and the related databases for
performing computational tasks at edge servers, which has been considered to save both …

Orchestrated scheduling and multi-agent deep reinforcement learning for cloud-assisted multi-UAV charging systems

S Jung, WJ Yun, MJ Shin, J Kim… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper proposes a cloud-assisted joint charging scheduling and energy management
framework for unmanned aerial vehicle (UAV) networks. For charging the UAVs those are …

Synchronizing UAV teams for timely data collection and energy transfer by deep reinforcement learning

OS Oubbati, M Atiquzzaman, H Lim… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Due to their promising applications and intriguing characteristics, Unmanned Aerial Vehicles
(UAVs) can be dispatched as flying base stations to serve multiple energy-constrained …