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 (...

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Bibliografiska uppgifter
Huvudupphovsmän: Qiao Wang, David Grace
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2023-01-01
Serie:IEEE Access
Ämnen:
Proactive edge caching
reinforcement learning
multi-armed bandit learning
mobility prediction
vehicular networks
roadside units (RSUs)
Länkar:https://ieeexplore.ieee.org/document/10077392/

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

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