Deep Reinforcement Learning-Based Adaptive Offloading Algorithm for Wireless Power Transfer-Aided Mobile Edge Computing

X Wu, X Yan, S Yuan, C Li - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
Mobile Edge Computing (MEC), as a real-time computing paradigm extended to the network
edge, has been widely adopted. In recent years, Wireless Power Transfer-Aided Mobile …

[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 …

[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 …

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 …

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 …

New two-stage deep reinforcement learning for task admission and channel allocation of wireless-powered mobile edge computing

X Chen, W Dai, W Ni, X Wang, S Zhang… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
This paper presents a new two-stage deep Q-network (DQN), referred to as" TS-DQN", for
online optimization of wireless power transfer (WPT)-powered mobile edge computing …

Optimizing Task Offloading Algorithms for Mobile Edge Computing in Support of Simultaneous Wireless Information and Power Transfer (Swipt)

Y Ge, Z Wei, Z Ma, Z Lyu, L Shi, Z Wei - Available at SSRN 4421776 - papers.ssrn.com
The proliferation of mobile devices has led to an exponential increase in mobile data and
computing requirements. In response, mobile edge computing (MEC) has emerged as a low …

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 …

Intelligent Time Allocation for Wireless Power Transfer in Wireless‐Powered Mobile Edge Computing

X Dong, Z Wan, C Deng, W Wen… - … and Mobile Computing, 2022 - Wiley Online Library
Wireless‐powered mobile edge computing is a new network computing paradigm that
combines with the advantages of wireless power transfer and mobile edge computing. When …

DRL based partial offloading for maximizing sum computation rate of FDMA-based wireless powered mobile edge computing

W Chen, G Shen, K Chi, S Zhang, X Chen - Computer Networks, 2022 - Elsevier
Abstract Since most Internet of Things (IoT) nodes are powered by small-capacity batteries
and equipped with small computing units, it is difficult for them to process computing …