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 (...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Qiao Wang, David Grace
Format:	Artykuł
Język:	English
Wydane:	IEEE 2023-01-01
Seria:	IEEE Access
Hasła przedmiotowe:	Proactive edge caching reinforcement learning multi-armed bandit learning mobility prediction vehicular networks roadside units (RSUs)
Dostęp online:	https://ieeexplore.ieee.org/document/10077392/

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