Network-Coded Content Delivery in Femtocaching-Assisted Cellular Networks

Yousef N. Shnaiwer, Sameh Sorour, Neda Aboutorab, Parastoo Sadeghi, Tareq Y. Al-Naffouri

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

    Abstract

    Next-generation cellular networks are expected to be assisted by femtocaches (FCs), which collectively store the most popular files for the clients. Given any arbitrary non-fragmented placement of such files, a strict no-latency constraint, and clients' prior knowledge, new file download requests could be efficiently handled by both the FCs and the macrocell base station (MBS) using opportunistic network coding (ONC). In this paper, we aim to find the best allocation of coded file downloads to the FCs so as to minimize the MBS involvement in this download process. We first formulate this optimization problem over an ONC graph, and show that it is NP-hard. We then propose a greedy approach that maximizes the number of files downloaded by the FCs, with the goal to reduce the download share of the MBS. This allocation is performed using a dual conflict ONC graph to avoid conflicts among the FC downloads. Simulations show that our proposed scheme almost achieves the optimal performance and significantly saves on the MBS bandwidth.
    Original languageEnglish (US)
    Title of host publication2015 IEEE Global Communications Conference (GLOBECOM)
    PublisherIEEE
    ISBN (Print)9781479959525
    DOIs
    StatePublished - Mar 28 2016

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