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Edge Computation Offloading With Content Caching in 6G-Enabled IoV

IEEE transactions on intelligent transportation systems (Print)
Using the powerful communication capability of 6G, various in-vehicle services in the Internet of Vehicles (IoV) can be offered with low delay, which provide users with a high-quality driving experience.
Xuanhong Zhou   +6 more
semanticscholar   +1 more source

Computation Offloading and Resource Allocation in MEC-Enabled Integrated Aerial-Terrestrial Vehicular Networks: A Reinforcement Learning Approach

IEEE transactions on intelligent transportation systems (Print), 2022
As important services of the future sixth-generation (6G) wireless networks, vehicular communication and mobile edge computing (MEC) have received considerable interest in recent years for their significant potential applications in intelligent ...
Noor Waqar   +5 more
semanticscholar   +1 more source

Computation Offloading in LEO Satellite Networks With Hybrid Cloud and Edge Computing

IEEE Internet of Things Journal, 2021
Low earth orbit (LEO) satellite networks can break through geographical restrictions and achieve global wireless coverage, which is an indispensable choice for future mobile communication systems.
Qingqing Tang   +3 more
semanticscholar   +1 more source

Computation Offloading in MEC-Enabled IoV Networks: Average Energy Efficiency Analysis and Learning-Based Maximization

IEEE Transactions on Mobile Computing
This paper investigates the energy efficiency of computation offloading strategies in multi-access edge computing-enabled (MEC-enabled) Internet-of-Vehicles (IoV) networks.
Tan Zheng   +2 more
semanticscholar   +1 more source

Computation Offloading and Service Caching for Intelligent Transportation Systems With Digital Twin

IEEE transactions on intelligent transportation systems (Print), 2022
Mobile edge computing (MEC) provides a novel computing paradigm to satisfy the increasing computation requirements of mobile applications. In MEC-enabled intelligent transportation systems (ITS), the latency-sensitive computing tasks are offloaded to ...
Xiaolong Xu   +4 more
semanticscholar   +1 more source

DRL-Based Resource Allocation for Computation Offloading in IoV Networks

IEEE Transactions on Industrial Informatics, 2022
Due to the dynamic nature of a vehicular fog computing environment, efficient real-time resource allocation in an Internet of Vehicles (IoV) network without affecting the quality of service of any of the onboard vehicles can be challenging.
Bishmita Hazarika   +3 more
semanticscholar   +1 more source

Energy-Efficient Computation Peer Offloading in Satellite Edge Computing Networks

IEEE Transactions on Mobile Computing
Recently, MEC has been integrated with satellite networks to process remote terrestrial computation tasks with superior coverage and delay. Since single satellite computation is hard to tackle spatially uneven computation workloads, computation peer ...
Xinyuan Zhang   +7 more
semanticscholar   +1 more source

Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution

IEEE transactions on intelligent transportation systems (Print), 2021
Recently, Internet of Vehicles (IoV) has become one of the most active research fields in both academic and industry, which exploits resources of vehicles and Road Side Units (RSUs) to execute various vehicular applications.
Zhaolong Ning   +7 more
semanticscholar   +1 more source

Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization

IEEE Internet of Things Journal, 2021
Smart mobile devices (SMDs) can meet users’ high expectations by executing computational intensive applications but they only have limited resources, including CPU, memory, battery power, and wireless medium.
J. Bi   +4 more
semanticscholar   +1 more source

Multiuser Computation Offloading and Resource Allocation for Cloud–Edge Heterogeneous Network

IEEE Internet of Things Journal, 2022
Cloud–edge heterogeneous network is an emerging technique built on edge infrastructure, which is based on the core of cloud computing technology and edge computing capabilities.
Qinglin Chen, Zhufang Kuang, Lian Zhao
semanticscholar   +1 more source

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