Joint Content Caching and Recommendation in Opportunistic Mobile Networks Through Deep Reinforcement Learning and Broad Learning

Edge caching has been a research hotspot of the Mobile Edge Computing (MEC) in recent years, which is an effective way to ease the burden of traffic in cellular networks. It places contents to the edge of the networks and assists contents transmission via Device-to-Device (D2D) links. Traditional ca...

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Veröffentlicht in:	IEEE transactions on services computing 2023-07, Vol.16 (4), p.2727-2741
Hauptverfasser:	Yu, Dongjin, Wu, Tong, Liu, Chengfei, Wang, Dongjing
Format:	Artikel
Sprache:	eng
Schlagworte:	Broad learning content caching Correlation Costs D2D Offloading Device-to-device communication Prediction algorithms recommendation Recommender systems Reinforcement learning Sparse matrices
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