Centralized coded caching with heterogeneous cache sizes

Abdelrahman M. Ibrahim, Ahmed A. Zewail, Aylin Yener

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    24 Scopus citations

    Abstract

    Coded caching can improve fundamental limits of communication, utilizing storage memory at individual users. This paper considers a centralized coded caching system, introducing heterogeneous cache sizes at the users, i.e., the users' cache memories are of different size. The goal is to design cache placement and delivery policies that minimize the worst-case delivery load on the server. To that end, the paper proposes an optimization framework for cache placement and delivery schemes which explicitly accounts for the heterogeneity of the cache sizes. We also characterize explicitly the optimal caching scheme, for the case where the sum of the users' cache sizes is smaller than or equal to the library size.

    Original languageEnglish (US)
    Title of host publication2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509041831
    DOIs
    StatePublished - May 10 2017
    Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
    Duration: Mar 19 2017Mar 22 2017

    Publication series

    NameIEEE Wireless Communications and Networking Conference, WCNC
    ISSN (Print)1525-3511

    Other

    Other2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
    CountryUnited States
    CitySan Francisco
    Period3/19/173/22/17

    All Science Journal Classification (ASJC) codes

    • Engineering(all)

    Fingerprint Dive into the research topics of 'Centralized coded caching with heterogeneous cache sizes'. Together they form a unique fingerprint.

    Cite this