Game combined multi-agent reinforcement learning approach for UAV assisted offloading

A Gao, Q Wang, W Liang, Z Ding - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Air ground integrated mobile cloud computing (MCC) provides unmanned aerial vehicles
(UAVs) the capability to act as an aerial relay with more flexibility and resilience. In the cloud …

Collaborative offloading for UAV-enabled time-sensitive MEC networks

WT Li, M Zhao, YH Wu, JJ Yu, LY Bao, H Yang… - EURASIP Journal on …, 2021 - Springer
Recently, unmanned aerial vehicle (UAV) acts as the aerial mobile edge computing (MEC)
node to help the battery-limited Internet of Things (IoT) devices relieve burdens from …

Cooperative task offloading and resource allocation for UAV-enabled mobile edge computing systems

D Xu, D Xu - Computer Networks, 2023 - Elsevier
Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) systems can
provide flexible computation services to user equipments (UEs). On the one hand, the UAV …

Transfer learning for distributed intelligence in aerial edge networks

K Zhang, D Si, W Wang, J Cao… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled edge computing is a promising paradigm to
provide task offloading service for computation-intensive applications. Catering for highly …

Unmanned-aerial-vehicle-assisted computation offloading for mobile edge computing based on deep reinforcement learning

H Wang, H Ke, W Sun - IEEE Access, 2020 - ieeexplore.ieee.org
Users in heterogeneous wireless networks may generate massive amounts of data that are
delay-sensitive or require computation-intensive processing. Owing to computation ability …

Utility-aware UAV deployment and task offloading in multi-UAV edge computing networks

Z Kuang, H Wang, J Li, F Hou - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled mobile-edge computing (MEC) is expected to
provide low-latency, ultrareliable, and highly robust network services to improve user service …

Multi-objective deep reinforcement learning for computation offloading in UAV-assisted multi-access edge computing

X Liu, ZY Chai, YL Li, YY Cheng, Y Zeng - Information Sciences, 2023 - Elsevier
Unmanned aerial vehicle-assisted multi-access edge computing (UAV-MEC) plays an
important role in some complex environments such as mountainous and disaster areas …

Computation offloading over multi-UAV MEC network: A distributed deep reinforcement learning approach

D Wei, J Ma, L Luo, Y Wang, L He, X Li - Computer Networks, 2021 - Elsevier
Unmanned aerial vehicle (UAV)-assisted computation offloading allows mobile devices
(MDs) to process computation-intensive and latency-sensitive tasks with limited or no …

Energy-efficient resource allocation in multi-UAV-assisted two-stage edge computing for beyond 5G networks

NN Ei, M Alsenwi, YK Tun, Z Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted multi-access edge computing (MEC) has become
one promising solution for energy-constrained devices to run the applications with high …

Task offloading strategy based on mobile edge computing in UAV network

W Qi, H Sun, L Yu, S Xiao, H Jiang - Entropy, 2022 - mdpi.com
When an unmanned aerial vehicle (UAV) performs tasks such as power patrol inspection,
water quality detection, field scientific observation, etc., due to the limitations of the …