A Hybrid Proactive Caching System in Vehicular Networks Based on Contextual Multi-Armed Bandit Learning

A Hybrid Proactive Caching System in Vehicular Networks Based on Contextual Multi-Armed Bandit Learning

Proactive edge caching has been regarded as an effective approach to satisfy user experience in mobile networks by providing seamless content transmission and reducing network delay. This is particularly useful in rapidly changing vehicular networks. This paper addresses the proactive edge caching (...

Full description

Bibliographic Details
Main Authors: Qiao Wang, David Grace
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Proactive edge caching
reinforcement learning
multi-armed bandit learning
mobility prediction
vehicular networks
roadside units (RSUs)
Online Access:https://ieeexplore.ieee.org/document/10077392/

Internet

https://ieeexplore.ieee.org/document/10077392/

Similar Items