Stochastic computation resource allocation for mobile edge computing powered by wireless energy transfer

C Li, W Chen, H Tang, Y Xin, Y Luo - Ad Hoc Networks, 2019 - Elsevier
Limited battery capacity and poor computing capability of wireless devices have been
longstanding performance limitations in the Internet of Things (IoT) era. Employing Wireless …

[HTML][HTML] Energy efficient SWIPT based mobile edge computing framework for WSN-assisted IoT

F Chen, A Wang, Y Zhang, Z Ni, J Hua - Sensors, 2021 - mdpi.com
With the increasing deployment of IoT devices and applications, a large number of devices
that can sense and monitor the environment in IoT network are needed. This trend also …

Efficient energy management for the internet of things in smart cities

W Ejaz, M Naeem, A Shahid… - IEEE Communications …, 2017 - ieeexplore.ieee.org
The drastic increase in urbanization over the past few years requires sustainable, efficient,
and smart solutions for transportation, governance, environment, quality of life, and so on …

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 …

Mobility-aware offloading and resource allocation in a MEC-enabled IoT network with energy harvesting

H Hu, Q Wang, RQ Hu, H Zhu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC)-enabled Internet of Things (IoT) networks have been
deemed a promising paradigm to support massive energy-constrained and computation …

Computational rate maximization for IRS-assisted multi-antenna WP-MEC systems with finite edge computing capability

P Chen, Y Yang, J Jiang, B Lyu, Z Yang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The progressing development of Internet of Things (IoT) has accelerated the emergence of
resource-intensive and latency-sensitive mobile applications, which throws out a great …

Optimal energy allocation and task offloading policy for wireless powered mobile edge computing systems

F Wang, J Xu, S Cui - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
This paper studies a single-user wireless powered mobile edge computing (MEC) system, in
which one multi-antenna energy transmitter (ET) employs energy beamforming for wireless …

Dynamic offloading and resource scheduling for mobile-edge computing with energy harvesting devices

F Zhao, Y Chen, Y Zhang, Z Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Driven by Internet of Things (IoT) and 5G communication technologies, the paradigm of
mobile computing has changed from centralized mobile cloud computing to distributed …

Deep reinforcement learning for time-energy tradeoff online offloading in MEC-enabled industrial internet of things

X Jiao, H Ou, S Chen, S Guo, Y Qu… - … on Network Science …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) has recently emerged as a promising technology to boost the
integration ability of sensing, transmission and computation in industrial Internet of Things …

Computation rate maximization for intelligent reflecting surface enhanced wireless powered mobile edge computing networks

S Mao, N Zhang, L Liu, J Wu, M Dong… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The combination of wireless energy transfer (WET) and mobile edge computing (MEC) has
been proposed to satisfy the energy supply and computation requirements of resource …