Augmented deep reinforcement learning for online energy minimization of wireless powered mobile edge computing

X Chen, W Dai, W Ni, X Wang, S Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) offers an opportunity for devices relying on wireless power
transfer (WPT), to accomplish computationally demanding tasks. Such WPT-powered MEC …

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

M Maray, E Mustafa, J Shuja - HUMAN-CENTRIC COMPUTING …, 2024 - researchgate.net
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 …

Online learning for distributed computation offloading in wireless powered mobile edge computing networks

X Wang, Z Ning, L Guo, S Guo, X Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A novel paradigm named Wireless Powered Mobile Edge Computing (WP-MEC) emerges
recently, which integrates Mobile Edge Computing (MEC) and Wireless Power Transfer …

Task execution latency minimization for energy-sensitive IoTs in wireless powered mobile edge computing: A DRL-based method

L Li, G Xu, Z Liu, J Ge, W Jiang, J Li - Computer Networks, 2024 - Elsevier
Wireless powered mobile edge computing (MEC) has become a vital component of future
6G networks, offering efficient computational capabilities to internet of things (IoT) devices …

Task delay minimization in wireless powered mobile edge computing networks: A deep reinforcement learning approach

Y Yu, Y Yan, S Li, Z Li, D Wu - 2021 13th International …, 2021 - ieeexplore.ieee.org
With the emergence of a large number of intelligent terminals, the network is facing severe
challenges such as insufficient resources, limited bandwidth and environmental pollution …

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 …

Computation rate maximization for wireless powered mobile-edge computing with binary computation offloading

S Bi, YJ Zhang - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
Finite battery lifetime and low computing capability of size-constrained wireless devices
(WDs) have been longstanding performance limitations of many low-power wireless …

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 …

A parallel computing based model for online binary computation offloading in mobile edge computing

A Acheampong, Y Zhang, X Xu - Computer Communications, 2023 - Elsevier
Mobile-edge computing (MEC) with wireless power transfer has recently emerged as a
viable concept for improving the data processing capacity of limited powered networks like …

Energy-efficient cooperative resource allocation in wireless powered mobile edge computing

L Ji, S Guo - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) as an emerging and prospective computing paradigm,
offloads the computation-intensive tasks from resources-constrained smart mobile devices …