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 (...

Detaylı Bibliyografya
Asıl Yazarlar:	Qiao Wang, David Grace
Materyal Türü:	Makale
Dil:	English
Baskı/Yayın Bilgisi:	IEEE 2023-01-01
Seri Bilgileri:	IEEE Access
Konular:	Proactive edge caching reinforcement learning multi-armed bandit learning mobility prediction vehicular networks roadside units (RSUs)
Online Erişim:	https://ieeexplore.ieee.org/document/10077392/

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