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 …
several decades has increased the demand for intelligent intersection management …
Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing
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 …
architecture, which can empower user equipments (UEs) with computation and energy …
Reverse auction-based computation offloading and resource allocation in mobile cloud-edge computing
This article proposes a novel Reverse Auction-based Computation Offloading and Resource
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …
Edge intelligence: A computational task offloading scheme for dependent IoT application
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 …
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
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 …
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
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 …
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
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) …
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 …
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
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 …
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
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 …
is investigated, where the terrestrial base stations (BSs) communicate with satellite by …