Deep reinforcement learning-based partial task offloading in high altitude platform-aided vehicular networks

TH Nguyen, TP Truong, NN Dao, W Na… - … on Information and …, 2022 - ieeexplore.ieee.org
Compared with traditional terrestrial access networks, a mobile edge computing-enabled
aerial access network is a potential paradigm for performing complicated computations by …

Deep reinforcement learning for computation offloading and resource allocation in unmanned-aerial-vehicle assisted edge computing

S Li, X Hu, Y Du - Sensors, 2021 - mdpi.com
Computation offloading technology extends cloud computing to the edge of the access
network close to users, bringing many benefits to terminal devices with limited battery and …

A survey on deep reinforcement learning-driven task offloading in aerial access networks

TH Nguyen, L Park - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
Internet of Things computation offloading is a challenging problem, particularly in distant
places where mobile edge computing (MEC) or cloud infrastructure is absent. Fortunately …

Adaptive computation offloading policy for multi-access edge computing in heterogeneous wireless networks

H Ke, H Wang, W Sun, H Sun - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
In heterogeneous wireless networks, massive mobile terminals randomly generate a large
number of computation tasks (payloads). How to better manage these mobile terminals …

Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Edge Computing

P Zhang, Y Su, B Li, L Liu, C Wang, W Zhang, L Tan - Drones, 2023 - mdpi.com
Traditional multi-access edge computing (MEC) often has difficulty processing large
amounts of data in the face of high computationally intensive tasks, so it needs to offload …

Fine-grained task offloading for UAV via MEC-enabled networks

S Huang, L Li, Q Pan, W Zheng… - 2019 IEEE 30th …, 2019 - ieeexplore.ieee.org
The ground mobile edge computing (MEC) system has been effectively utilized to undertake
the computation-intensive tasks offloaded from unmanned aerial vehicles (UAVs), which has …

MCTS-enhanced hybrid offloading for aerial multi-access edge computing

J Xu, K Ota, M Dong, H Zhou - IEEE Wireless Communications, 2021 - ieeexplore.ieee.org
Computation offloading is a main issue in multi-access edge computing (MEC). In particular,
in aerial MEC (AMEC) relying on UAVs/drones, due to limited resources of single devices in …

Multi-agent DRL-based task offloading in hierarchical HAP-LAP networks

TH Nguyen, L Park - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
Future wireless networks promise to offer ubiq-uity connection to numerous Internet of
Things devices with various demands. Aerial access networks that combine satellite and …

Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing

N Zhao, Z Ye, Y Pei, YC Liang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …

Offloading strategy for UAV-assisted mobile edge computing based on reinforcement learning

X Zhang, J Wang, B Wang… - 2022 IEEE/CIC …, 2022 - ieeexplore.ieee.org
With the rapid development of mobile communication technology, mobile edge computing
(MEC) is increasingly becoming an effective technology solution to the excessive pressure …