Transparent AAA security design for low-latency MEC-integrated cellular networks

CY Li, YD Lin, YC Lai, HT Chien… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Multi-access edge computing (MEC) is a key enabler for low-latency services in the cellular
network. It enables service requests to be served at the edge without reaching the Internet …

Hagp: A heuristic algorithm based on greedy policy for task offloading with reliability of mds in mec of the industrial internet

M Guo, X Huang, W Wang, B Liang, Y Yang, L Zhang… - Sensors, 2021 - mdpi.com
In the Industrial Internet, computing-and power-limited mobile devices (MDs) in the
production process can hardly support the computation-intensive or time-sensitive …

Energy-efficient computation offloading and resource management in ultradense heterogeneous networks

T Zhou, D Qin, X Nie, X Li, C Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To meet the demand of green communications of ultradense mobile devices (MDs), an
energy-efficient mechanism, jointly considering the computation offloading and resource …

TCSC: A novel file distribution strategy in integrated LEO satellite-terrestrial networks

Z Yang, Y Li, P Yuan, Q Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Integrated Satellite-Terrestrial (IST) networks consisting of low earth orbit (LEO) satellite
constellation and terrestrial users are widely developed for potentially attractive …

Energy Efficiency Optimization for SWIPT-Enabled IoT Network with Energy Cooperation

Y Cao, Y Zhong, C Peng, X Peng, S Pan - Sensors, 2022 - mdpi.com
As an advanced technology, simultaneous wireless information and power transfer (SWIPT),
combined with the internet of things (IoT) devices, can effectively extend the online cycle of …

Modeling and analysis of the uplink local delay in MEC-based VANETs

Y Wu, J Zheng - IEEE Transactions on Vehicular Technology, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a new computing paradigm for addressing users' ever-
increasing demand for quality of service (QoS) in vehicular ad hoc networks (VANETs). The …

[HTML][HTML] Multiuser computing offload algorithm based on mobile edge computing in the internet of things environment

X Chu, Z Leng - Wireless Communications and Mobile Computing, 2022 - hindawi.com
As traditional cloud computing is not efficient enough to support large-scale computational
task execution in IoT environments, a task offloading and resource allocation algorithm for …

Lyapunov-based partial computation offloading for multiple mobile devices enabled by harvested energy in MEC

M Guo, W Wang, X Huang, Y Chen… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has been garnering considerable level of interests by
processing computation tasks nearby mobile devices (MDs). With limited computation and …

Deep reinforcement learning-based resource allocation and seamless handover in multi-access edge computing based on SDN

C Li, Y Zhang, Y Luo - Knowledge and Information Systems, 2021 - Springer
With the access devices that are densely deployed in multi-access edge computing
environments, users frequently switch access devices when moving, which causes the …

Throughput maximization by deep reinforcement learning with energy cooperation for renewable ultradense IoT networks

Y Li, X Zhao, H Liang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Ultradense network (UDN) is considered as one of the key technologies for the explosive
growth of mobile traffic demand on the Internet of Things (IoT). It enhances network capacity …