iCOS: A deep reinforcement learning scheme for wireless-charged MEC networks

C Wan, S Guo, J He, G Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Computation offloading is an effective method in mobile edge computing (MEC) to relieve
user equipment (UE) from the limited computation resource and battery capacity …

Deep reinforcement learning based computation offloading in SWIPT-assisted MEC networks

C Wan, S Guo, Y Yang - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Computation offloading is an effective method to relieve user equipment (UE) from the
limited battery capacity and computation resource in mobile edge computing (MEC) …

Deep deterministic policy gradient based computation offloading in wireless-powered MEC networks

R Liu, X Liu, S Wang, C Yin - 2020 IEEE Globecom Workshops …, 2020 - ieeexplore.ieee.org
With the upsurge of Internet of Things (IoT), mobile edge computing (MEC) and wireless
power transfer (WPT) are becoming promising methods to relieve IoT devices from the …

Deep reinforcement learning empowers wireless powered mobile edge computing: Towards energy-aware online offloading

X Jiao, Y Wang, S Guo, H Zhang, H Dai… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Deep integration of wireless power transmission and mobile edge computing (MEC)
promotes wireless powered MEC to become a new research hotspot in the field of Internet of …

Federated deep reinforcement learning for online task offloading and resource allocation in WPC-MEC networks

L Zang, X Zhang, B Guo - IEEE Access, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) is considered a more effective technological solution for
developing the Internet of Things (IoT) by providing cloud-like capabilities for mobile users …

Asynchronous deep reinforcement learning for data-driven task offloading in MEC-empowered vehicular networks

P Dai, K Hu, X Wu, H Xing, Z Yu - IEEE INFOCOM 2021-IEEE …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been an effective paradigm to support real-time
computation-intensive vehicular applications. However, due to highly dynamic vehicular …

Game-combined multi-agent DRL for tasks offloading in wireless powered MEC networks

A Gao, S Zhang, Y Hu, W Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Wireless powered mobile edge computing (MEC) networks have been envisaged as a
promising technology to ensure the ultra-low-power requirement and enhance the …

Computation-efficient offloading and power control for MEC in IoT networks by Meta reinforcement learning

MA Hossain, W Liu, N Ansari - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Due to the proliferation of devices and the availability of computing servers, mobile-edge
computing (MEC) has gained popularity in executing various computational tasks. MEC …

Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks

L Huang, S Bi, YJA Zhang - IEEE Transactions on Mobile …, 2019 - ieeexplore.ieee.org
Wireless powered mobile-edge computing (MEC) has recently emerged as a promising
paradigm to enhance the data processing capability of low-power networks, such as …

[HTML][HTML] ArticlesWireless Power Assisted Computation Offloading in Mobile Edge Computing: A Deep Reinforcement Learning Approach

M Maray, E Mustafa, J Shuja - hcisj.com
One of the missions of mobile edge computing (MEC) is to develop innovative applications
in closer proximity while preserving latency constraints. Integration of MEC with the …