Edge Computing and Wireless Power Transfer for Integrated Radar and Communication-Equipped IoT Systems

HH Le, NHK Long, NC Luong, NT Hoa… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
In this paper, we investigate the wireless power-enabled mobile edge computing (WP-MEC)
for an integrated radar and communication (IRC)-equipped internet of things (IoT) system …

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 …

Dynamic offloading for energy harvesting mobile edge computing: architecture, case studies, and future directions

B Li, Z Fei, J Shen, X Jiang, X Zhong - IEEE Access, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) is envisioned as a new paradigm by integrating the mobile
computing functionality into 5G wireless networks, aiming at empowering communication …

[HTML][HTML] Dynamic offloading strategy for computational energy efficiency of wireless power transfer based MEC networks in industry 5.0

S Aljubayrin, G Aldehim, N Alruwais… - Journal of King Saud …, 2023 - Elsevier
Wireless power transfer (WPT) has emerged as a promising solution for delivering services
to low-power Internet of Things (IoT) devices in a demand-driven manner. In this work, we …

Dynamic computation offloading with energy harvesting devices: A graph-based deep reinforcement learning approach

J Chen, Z Wu - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
We study a joint partial offloading and resource allocations (JPORA) problem for the mobile
edge computing (MEC) with energy harvesting (EH), where the number of MDs, computation …

Distributed Task Scheduling for Wireless Powered Mobile Edge Computing: A Federated-Learning-Enabled Framework

X Wang, S Wang, Y Wang, Z Ning, L Guo - IEEE Network, 2021 - ieeexplore.ieee.org
Sixth generation (6G) wireless communication networks are expected to provide ultra-low
latency and energy-efficient services for global users. The paradigm of wireless powered …

Reinforcement learning for task offloading in mobile edge computing for sdn based wireless networks

N Kiran, C Pan, Y Changchuan - 2020 Seventh International …, 2020 - ieeexplore.ieee.org
The explosive growth of the distributed computing resources in mobile edge computing
(MEC) create a necessity to have a reasonable controller to ensure efficient utilization of …

Cooling-Aware Optimization of Edge Server Configuration and Edge Computation Offloading<? brk?> for Wirelessly Powered Devices

X Chen, Z Lu, W Ni, X Wang, F Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Edge computing (EC) provides an effective means to cope with explosive computation
demands of the Internet-of-Things (IoT). This paper presents a new cooling-aware joint …

A continuous policy learning approach for hybrid offloading in backscatter communication

A Gao, T Geng, SX Ng, W Liang - IEEE Communications …, 2020 - ieeexplore.ieee.org
In wireless powered communication networks (WPCNs), wireless devices (WDs) can offload
tasks to edge server by both passive backscatter and active transmission with low or even …

Mixed-timescale joint computational offloading and wireless resource allocation strategy in energy harvesting multi-MEC server systems

Y Teng, K Cheng, Y Zhang, X Wang - IEEE Access, 2019 - ieeexplore.ieee.org
As an emerging paradigm enabling mobile devices to leverage additional computation
resources from nearby MEC servers (MSs), mobile edge computing (MEC) has drawn great …