Joint computation offloading and data caching in multi-access edge computing enabled internet of vehicles

L Liu, X Yuan, N Zhang, D Chen, K Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has attracted global research interests across extensive
applications. Due to the significant increase in the number of vehicles accessing the Internet …

Energy-efficient resource allocation for cache-assisted mobile edge computing

Y Cui, W He, C Ni, C Guo, Z Liu - 2017 IEEE 42nd Conference …, 2017 - ieeexplore.ieee.org
In this paper, we jointly consider communication, caching and computation in a multi-user
cache-assisted mobile edge computing (MEC) system, consisting of one base station (BS) of …

Twin-timescale artificial intelligence aided mobility-aware edge caching and computing in vehicular networks

RQ Hu, L Hanzo - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
In this paper, we propose a joint communication, caching and computing strategy for
achieving cost efficiency in vehicular networks. In particular, the resource allocation policy is …

Optimal delay constrained offloading for vehicular edge computing networks

K Zhang, Y Mao, S Leng, S Maharjan… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
The increasing number of smart vehicles and their resource hungry applications pose new
challenges in terms of computation and processing for providing reliable and efficient …

Efficient task allocation for computation offloading in vehicular edge computing

Z Zhang, F Zeng - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular edge computing, the edge servers may be overloaded once too many vehicles
request the task offloading service, which will cause task offloading failure or the high …

Task offloading in vehicular edge computing networks via deep reinforcement learning

E Karimi, Y Chen, B Akbari - Computer Communications, 2022 - Elsevier
Given the rapid increase of various applications in vehicular networks, it is crucial to
consider a flexible architecture to improve the Quality of Service (QoS). Utilizing Multi-access …

A dynamic pricing strategy for vehicle assisted mobile edge computing systems

D Han, W Chen, Y Fang - IEEE Wireless Communications …, 2018 - ieeexplore.ieee.org
The idle computing resources of parked vehicles could be utilized to improve performance
by assisting task executions in mobile edge computing (MEC) systems. As a result, the …

Joint communication and computing resource allocation in vehicular edge computing

J Sun, Q Gu, T Zheng, P Dong… - International Journal of …, 2019 - journals.sagepub.com
The emergence of computation-intensive vehicle applications poses a significant challenge
to the limited computation capacity of on-board equipments. Mobile edge computing has …

Computation offloading for mobile edge computing enabled vehicular networks

J Wang, D Feng, S Zhang, J Tang, TQS Quek - IEEE Access, 2019 - ieeexplore.ieee.org
The emergence of computation-intensive and delay-sensitive vehicular applications poses a
great challenge for individual vehicles with limited computation resources. Mobile edge …

Deep learning-assisted energy-efficient task offloading in vehicular edge computing systems

B Shang, L Liu, Z Tian - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In this paper, we study an energy-efficient computation offloading for vehicular edge
computing systems, where multiple roadside units assist vehicular users to offload …