A systematic literature review of autonomous and connected vehicles in traffic management

F Alanazi - Applied Sciences, 2023 - mdpi.com
The emergence of autonomous vehicles and the advancement of technology over the past
several decades has increased the demand for intelligent intersection management …

Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing

H Zhou, K Jiang, X Liu, X Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …

Reverse auction-based computation offloading and resource allocation in mobile cloud-edge computing

H Zhou, T Wu, X Chen, S He, D Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes a novel Reverse Auction-based Computation Offloading and Resource
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …

Edge intelligence: A computational task offloading scheme for dependent IoT application

H Xiao, C Xu, Y Ma, S Yang, L Zhong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Computational offloading, as an effective way to extend the capability of resource-limited
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …

Joint optimization of computing offloading and service caching in edge computing-based smart grid

H Zhou, Z Zhang, D Li, Z Su - IEEE Transactions on Cloud …, 2022 - ieeexplore.ieee.org
With the continuous expansion of the power Internet of Things (IoT) and the rapid increase in
the number of Smart Devices (SDs), the data generated by SDs has exponentially …

Cost minimization-oriented computation offloading and service caching in mobile cloud-edge computing: An A3C-based approach

H Zhou, Z Wang, H Zheng, S He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper considers computation offloading and service caching in a three-tier mobile
cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud …

Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks

M Khayyat, IA Elgendy, A Muthanna… - IEEE …, 2020 - ieeexplore.ieee.org
The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

[HTML][HTML] Digital transformation in wireless networks: A comprehensive analysis of mobile data offloading techniques, challenges, and future prospects

N Rosele, KM Zaini, NA Mustaffa, A Abrar… - Journal of King Saud …, 2024 - Elsevier
Mobile data offloading is a highly promising approach in mobile networks that tackles
network congestion at Base Stations (BSs) and greatly improves both the Quality of Service …

Incentive-driven deep reinforcement learning for content caching and D2D offloading

H Zhou, T Wu, H Zhang, J Wu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
Offloading cellular traffic via Device-to-Device communication (or D2D offloading) has been
proved to be an effective way to ease the traffic burden of cellular networks. However …

Resource allocation in terrestrial-satellite-based next generation multiple access networks with interference cooperation

Y Zhang, H Zhang, H Zhou, K Long… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In this paper, an uplink non-orthogonal multiple access (NOMA) terrestrial-satellite network
is investigated, where the terrestrial base stations (BSs) communicate with satellite by …