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 (...

書誌詳細
主要な著者:	Qiao Wang, David Grace
フォーマット:	論文
言語:	English
出版事項:	IEEE 2023-01-01
シリーズ:	IEEE Access
主題:	Proactive edge caching reinforcement learning multi-armed bandit learning mobility prediction vehicular networks roadside units (RSUs)
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10077392/

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