[HTML][HTML] Service provisioning in edge-cloud continuum: Emerging applications for mobile devices

DO Rodrigues, AM de Souza, T Braun… - Journal of Internet …, 2023 - sol.sbc.org.br
Disruptive applications for mobile devices can be enhanced by edge computing facilities. In
this context, Edge Computing (EC) is a proposed architecture to meet the mobility …

A comprehensive survey of spectrum sharing schemes from a standardization and implementation perspective

M Parvini, AH Zarif, A Nouruzi, N Mokari… - arXiv preprint arXiv …, 2022 - arxiv.org
As the services and requirements of next-generation wireless networks become increasingly
diversified, it is estimated that the current frequency bands of mobile network operators …

[HTML][HTML] Task offloading for edge-IoV networks in the industry 4.0 era and beyond: A high-level view

M Talebkhah, A Sali, V Khodamoradi… - … Science and Technology …, 2024 - Elsevier
As a promising platform on the Internet of Things (IoT), the smart Internet of Vehicle (IoV) has
emerged with the advent of the key connectivity to Industry 4.0, ie Fifth-Generation Mobile …

[HTML][HTML] Vehicular Edge-Computing Framework for Making Use of Parking and Charging Electric Vehicles

Q Deng, F Zeng - Applied Sciences, 2023 - mdpi.com
In big cities, there are more and more parking lots and charging piles for electric vehicles,
and the resources of parking and charging vehicles can be aggregated to provide strong …

Task Offloading for IoAV under Extreme Weather Conditions Using Dynamic Price Driven Double Broad Reinforcement Learning

X Peng, S Song, X Zhang, M Dong… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In the Internet of Autonomous Vehicles (IoAV), task offloading is a method to address
computationally intensive tasks and ensure the safe operation of vehicles. However, under …

AI 算法在车联网通信与计算中的应用综述

康宇, 刘雅琼, 赵彤雨, 寿国础 - 电信科学, 2023 - infocomm-journal.com
在5G 时代, 车联网的通信和计算发展受到信息量急速增加的限制. 将AI 算法应用在车联网,
可以实现车联网通信和计算方面的新突破. 调研了AI 算法在通信安全, 通信资源分配 …

Predictive Computation Offloading and Resource Allocation in DT-Empowered Vehicular Networks

B Lu, B Fan, Y Wu, L Qian, H Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To provide a better support for various vehicular applications, digital twin (DT), as an
emerging technology, can enable a virtual presentation of physical vehicular networks to …

Deep Reinforcement Learning-Based Task Offloading for Vehicular Edge Computing With Flexible RSU-RSU Cooperation

W Fan, Y Zhang, G Zhou, Y Liu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Vehicle edge computing (VEC) acts as an enhancement to provide low latency and low
energy consumption for internet of vehicles (IoV) applications. Mobility of vehicles and load …

A survey on intelligent computation offloading and pricing strategy in UAV-Enabled MEC network: Challenges and research directions

AA Baktayan, IA Al-Baltah - arXiv preprint arXiv:2208.10072, 2022 - arxiv.org
The Mobile Network Operator (MNO) must select how to delegate Mobile Device (MD)
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …

SAC-based Computation Offloading and Resource Allocation in Vehicular Edge Computing

Y Zheng, H Zhou, R Chen, K Jiang… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
The Vehicular Edge Computing (VEC) provides powerful computing resources for intelligent
terminals. However, the diversity of computing resources at edge nodes (ie, edge servers …