Cache-Enabled Multicast Content Pushing With Structured Deep Learning

The cache-enabled multicast content pushing, which multicasts the content items to multiple users and caches them until requested, is a promising technique to alleviate the heavy network load by enhancing the traffic offloading. This, in turn, has called for the optimization of content pushing strat...

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Vydané v:	IEEE journal on selected areas in communications Ročník 39; číslo 7; s. 2135 - 2149
Hlavní autori:	Chen, Qi, Wang, Wei, Chen, Wei, Yu, F. Richard, Zhang, Zhaoyang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Caching content pushing Convolution Coupling Couplings Datasets Decisions Deep learning Dynamic programming edge caching Multicast algorithms Multicasting Neural networks Optimization Pushing Training Upper bound Upper bounds Wireless networks
ISSN:	0733-8716, 1558-0008
On-line prístup:	Získať plný text
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