Cooling-aware resource allocation and load management for mobile edge computing systems

X Chen, Z Lu, W Ni, X Wang, F Wang, S Zhang… - arXiv preprint arXiv …, 2020 - arxiv.org
Driven by explosive computation demands of Internet of Things (IoT), mobile edge
computing (MEC) provides a promising technique to enhance the computation capability for …

Residual energy maximization-based resource allocation in wireless-powered edge computing industrial IoT

H Xu, Q Li, H Gao, X Xu, Z Han - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) is a new stage for traditional industry to achieve intelligent
development. However, the problems of limited resource, communication congestion, and …

Energy-aware task offloading with deadline constraint in mobile edge computing

Z Li, V Chang, J Ge, L Pan, H Hu, B Huang - EURASIP Journal on Wireless …, 2021 - Springer
With the development of the wireless network, increasing mobile applications are emerging
and receiving great popularity. These applications cover a wide area, such as traffic …

Online scheduling for energy minimization in wireless powered mobile edge computing

X He, Y Shen, X Wang, S Wang, S Xu… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
The integration of Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT),
which is usually referred to as Wireless Powered Mobile Edge Computing (WP-MEC), has …

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 …

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 …

Joint offloading and resource allocation using deep reinforcement learning in mobile edge computing

X Zhang, X Zhang, W Yang - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
Mobile edge computation offloading (MECO) has recently emerged as a promising method
to support computation-intensive and latency-sensitive applications, significantly saving the …

Backscatter-assisted data offloading in OFDMA-based wireless-powered mobile edge computing for IoT networks

PX Nguyen, DH Tran, O Onireti, PT Tin… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has emerged as a prominent technology to overcome
sudden demands on computation-intensive applications of the Internet of Things (IoT) with …

Improved Deep Deterministic Policy Gradient Algorithm based on PER for Partial Task Offloading

J Mao, C Tan, H Liu, J Bian, P Tang… - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
Mobile edge computing (MEC) is the deployment of storage and computing resources at the
edge of the network for latency-critical applications. However, it is often challenging for …

Computation offloading in energy harvesting systems via continuous deep reinforcement learning

J Zhang, J Du, C Jiang, Y Shen… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
As a promising technology to improve the computation experience for mobile devices,
mobile edge computing (MEC) is becoming an emerging paradigm to meet the tremendous …