A survey on mobile edge computing: The communication perspective

Y Mao, C You, J Zhang, K Huang… - … surveys & tutorials, 2017 - ieeexplore.ieee.org
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …

Dynamic computation offloading for mobile-edge computing with energy harvesting devices

Y Mao, J Zhang, KB Letaief - IEEE Journal on Selected Areas …, 2016 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is an emerging paradigm to meet the ever-increasing
computation demands from mobile applications. By offloading the computationally intensive …

[PDF][PDF] Mobile edge computing: Survey and research outlook

Y Mao, C You, J Zhang, K Huang… - arxiv preprint arxiv …, 2017 - researchgate.net
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards …

Mobile edge computing for efficient energy management systems

P Selvarajan, BE Samuel… - Human-Assisted …, 2023 - iopscience.iop.org
Chapter 16 discusses mobile edge computing for an efficient energy management system.
Edge computing environment provides an optimal solution for latency and lifetime of a …

[HTML][HTML] A convex OPF approximation for selecting the best candidate nodes for optimal location of power sources on DC resistive networks

OD Montoya - Engineering Science and Technology, an International …, 2020 - Elsevier
This paper proposes a convex approximation approach for solving the optimal power flow
(OPF) problem in direct current (DC) networks with constant power loads by using a …

Battery-aware optimization of green small cells: Sizing and energy management

M Mendil, A De Domenico, V Heiries… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Motivated by the concerns about climate change, energy-harvesting technologies have
recently gained particular interest to support the growing power demand of cellular …

Federated learning over wireless channels: Dynamic resource allocation and task scheduling

S Chu, J Li, J Wang, Z Wang, M Ding… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
With the development of federated learning (FL), mobile devices (MDs) are able to train their
local models with private data and send them to a central server for aggregation, thereby …

Base station wake-up strategy in cellular networks with hybrid energy supplies for 6G networks in an IoT environment

H Wang, M Huang, Z Zhao, Z Guo… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
To reduce carbon footprint, a hybrid energy powered cellular network (HybE-Net) in the
Internet-of-Things (IoT) environment is widely sought after. Different from cellular network …

Quality-aware video streaming for green cellular networks with hybrid energy sources

G Huang, B Zhang, Z Yao, C Li - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Mobile video traffic has experienced explosive growth in recent years due to the rapid
development of mobile intelligent terminals and cellular communication technologies. The …

Beamforming aided secrecy energy efficiency maximization in heterogeneous cellular networks

Y Jiang, Y Zou, J Ouyang, J Zhu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper investigates the secrecy energy efficiency (SEE) for a two-tier heterogeneous
cellular network having a macro cell and multiple small cells, where the macro cell consists …