Cooperative content caching in 5G networks with mobile edge computing

K Zhang, S Leng, Y He, S Maharjan… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Along with modern wireless networks being content-centric, the demand for rich multimedia
services has been growing at a tremendous pace, which brings significant challenges to …

A novel deep Q-learning-based air-assisted vehicular caching scheme for safe autonomous driving

J Shi, L Zhao, X Wang, W Zhao… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The safety driving-related content demands of vehicle users increase rapidly, especially with
the development of autonomous driving. It is significantly necessary to obtain the safety …

Mobile-aware and relay-assisted partial offloading scheme based on parked vehicles in B5G vehicular networks

J Zhao, P Dong, X Ma, X Sun, D Zou - Physical Communication, 2020 - Elsevier
Mobile edge computing (MEC) is an attractive solution for the contradiction between huge
computation resources and limited processing capacity of vehicular terminals, especially for …

Infotainment enabled smart cars: A joint communication, caching, and computation approach

SMA Kazmi, TN Dang, I Yaqoob… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Remarkable prevalence of cloud computing has enabled smart cars to provide infotainment
services. However, retrieving infotainment contents from long-distance data centers poses a …

Scheduling the operation of a connected vehicular network using deep reinforcement learning

RF Atallah, CM Assi, MJ Khabbaz - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Driven by the expeditious evolution of the Internet of Things, the conventional vehicular ad
hoc networks will progress toward the Internet of Vehicles (IoV). With the rapid development …

Deep-reinforcement-learning-based offloading scheduling for vehicular edge computing

W Zhan, C Luo, J Wang, C Wang, G Min… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a new computing paradigm that has great potential to
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …

Distributed task replication for vehicular edge computing: Performance analysis and learning-based algorithm

Y Sun, S Zhou, Z Niu - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In a vehicular edge computing (VEC) system, vehicles can share their surplus computation
resources to provide cloud computing services. The highly dynamic environment of the …

Edge computing resources reservation in vehicular networks: A meta-learning approach

D Chen, YC Liu, BG Kim, J Xie… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the development of autonomous vehicular technologies, the execution tasks become
more memory-consuming and computation-intensive. Simultaneously, a certain portion of …

Energy-efficient offloading decision-making for mobile edge computing in vehicular networks

X Huang, K Xu, C Lai, Q Chen, J Zhang - EURASIP Journal on Wireless …, 2020 - Springer
Driven by the explosion transmission and computation requirement in 5G vehicular
networks, mobile edge computing (MEC) attracts more attention than centralized cloud …

A computation offloading algorithm based on game theory for vehicular edge networks

Y Liu, S Wang, J Huang, F Yang - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) offers a new paradigm to improve vehicular services and
augment the capabilities of vehicles. In this paper, to reduce the latency of the computation …