Online cloud offloading using heterogeneous enhanced remote radio heads

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

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

    6 Citations (Scopus)

    Abstract

    This paper studies the cloud offloading gains of using heterogeneous enhanced remote radio heads (eRRHs) and dual-interface clients in fog radio access networks (F-RANs). First, the cloud offloading problem is formulated as a collection of independent sets selection problem over a network coding graph, and its NP-hardness is shown. Therefore, a computationally simple online heuristic algorithm is proposed, that maximizes cloud offloading by finding an efficient schedule of coded file transmissions from the eRRHs and the cloud base station (CBS). Furthermore, a lower bound on the average number of required CBS channels to serve all clients is derived. Simulation results show that our proposed framework that uses both network coding and a heterogeneous F-RAN setting enhances cloud offloading as compared to conventional homogeneous F-RANs with network coding.

    Original languageEnglish
    Title of host publication2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-5
    Number of pages5
    ISBN (Electronic)9781509059355
    DOIs
    Publication statusPublished - 2 Jul 2017
    Event86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada
    Duration: 24 Sept 201727 Sept 2017

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume2017-September
    ISSN (Print)1550-2252

    Conference

    Conference86th IEEE Vehicular Technology Conference, VTC Fall 2017
    Country/TerritoryCanada
    CityToronto
    Period24/09/1727/09/17

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