Noncoordinated Individual Preference Aware Caching Policy in Wireless D2D Networks

Ming Chun Lee, Andreas F. Molisch

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Recent investigations showed that cache-aided device-to-device (D2D) networks can be improved by properly exploiting the individual preferences of users. Since in practice it might be difficult to make centralized decisions about the caching distributions, this paper investigates the individual preference aware caching policy that can be implemented distributedly by users without coordination. The proposed policy is based on categorizing different users into different reference groups associated with different caching policies according to their preferences. To construct reference groups, learning-based approaches are used. To design caching policies that maximize throughput and hit-rate, optimization problems are formulated and solved. Numerical results based on measured individual preferences show that our design is effective and exploiting individual preferences is beneficial.

    Original languageEnglish
    Title of host publication2020 IEEE International Conference on Communications, ICC 2020 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728150895
    DOIs
    StatePublished - Jun 2020
    Event2020 IEEE International Conference on Communications, ICC 2020 - Dublin, Ireland
    Duration: 7 Jun 202011 Jun 2020

    Publication series

    NameIEEE International Conference on Communications
    Volume2020-June
    ISSN (Print)1550-3607

    Conference

    Conference2020 IEEE International Conference on Communications, ICC 2020
    Country/TerritoryIreland
    CityDublin
    Period7/06/2011/06/20

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