Cognitive-Caching: Cognitive Wireless Mobile Caching by Learning Fine-Grained Caching-Aware Indicators

Caching content on mobile devices reduces not only the transmission of backhaul links but also the latency of content acquisition. However, in the existing caching schemes, the joint effect of the caching-aware indicator of users and content dimensions on the caching strategy is not considered. Thus...

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Bibliographic Details
Published inIEEE wireless communications Vol. 27; no. 1; pp. 100 - 106
Main Authors Hao, Yixue, Chen, Min, Cao, Donggang, Zhao, Wenlai, Petrov, Ivan, Antonenko, Vitaly, Smeliansky, Ruslan
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Base stations
Caching
Computer architecture
Device-to-device communication
Electronic devices
Indicators
Learning
Measurement
Mobile handsets
Servers
Wireless communication
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Summary:Caching content on mobile devices reduces not only the transmission of backhaul links but also the latency of content acquisition. However, in the existing caching schemes, the joint effect of the caching-aware indicator of users and content dimensions on the caching strategy is not considered. Thus, how to learn fine-grained caching- aware indicators and design caching schemes are still challenging issues. In order to solve these problems, in this article, we first propose the cognitive caching architecture and give the fine-grained caching-aware indicators metric. Then we design a cognitive caching scheme that includes what to do in cognitive caching and how to do cognitive caching. Finally, experimental results show that the proposed cognitive caching scheme is superior to other caching schemes in terms of learning regret and caching cost.
ISSN:1536-1284
1558-0687
DOI:10.1109/MWC.001.1900273