Resource allocation for intelligent reflecting surface aided wireless powered mobile edge computing in OFDM systems

T Bai, C Pan, H Ren, Y Deng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Wireless powered mobile edge computing (WP-MEC) has been recognized as a promising
technique to provide both enhanced computational capability and sustainable energy …

Energy-efficient edge offloading in heterogeneous industrial IoT networks for factory of future

CW Hsu, YL Hsu, HY Wei - IEEE Access, 2020 - ieeexplore.ieee.org
The ultra-reliable and low latency communication (URLLC) and massive machine type
communication (mMTC) in 5G are envisioned to support intelligent automation in the …

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 …

Parallel offloading in green and sustainable mobile edge computing for delay-constrained IoT system

Y Deng, Z Chen, X Yao, S Hassan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Currently, the Internet of Things (IoT) solutions are playing an important role in numerous
areas, especially in smart homes and buildings, health-care, vehicles, and energy. It will …

Joint task offloading and resource allocation for IoT edge computing with sequential task dependency

X An, R Fan, H Hu, N Zhang, S Atapattu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Incorporating mobile-edge computing (MEC) in the Internet of Things (IoT) enables resource-
limited IoT devices to offload their computation tasks to a nearby edge server. In this article …

Cooperative-evolution-based WPT resource allocation for large-scale cognitive industrial IoT

L Sun, L Wan, K Liu, X Wang - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
The recently developed technique of wireless power transfer (WPT) provides a promising
way to charge the wireless sensor networks (WSNs) of cognitive industrial Internet of Things …

DRL-based multidimensional resource management in SWIPT-NOMA-enabled MEC

Z Shi, X Xie, H Lu, H Yang, Z Xiong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) enables communication users with limited computation
power to offload computation-intensive tasks to the edge server, thus dramatically …

Energy-efficient task offloading using dynamic voltage scaling in mobile edge computing

S Li, W Sun, Y Sun, Y Huo - IEEE Transactions on Network …, 2020 - ieeexplore.ieee.org
By offloading computation-intensive and latency-sensitive tasks from mobile devices to the
mobile edge server, mobile edge computing (MEC) has been considered as a promising …

Energy efficient joint computation offloading and service caching for mobile edge computing: A deep reinforcement learning approach

H Zhou, Z Zhang, Y Wu, M Dong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) meets the delay requirements of emerging applications and
reduces energy consumption by pushing cloud functions to the edge of the networks …

Computation offloading and resource allocation based on distributed deep learning and software defined mobile edge computing

Z Wang, T Lv, Z Chang - Computer Networks, 2022 - Elsevier
In this paper, a software defined mobile edge computing (SD-MEC) in Internet of Things
(IoT) is investigated, in which multiple IoT devices choose to offload their computation tasks …