Proportionally-Fair Sequencing and Scheduling for Machine-Type Communication

Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani, Duy T. Ngo

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

    Abstract

    We consider uplink machine-type communication (MTC) from energy-constrained devices following the time division multiple access (TDMA) protocol. Conventionally, the energy efficiency performance in TDMA is optimized through multi-user scheduling, i.e., changing the transmission block length allocated to different devices. In such a system, the sequence of devices for transmission, i.e., who transmits first and who transmits second, etc., has not been considered as it does not have any impact on the energy efficiency. In this work, we consider that data compression is performed before transmission and show that the multi-user sequencing is indeed important. We propose to jointly optimize both multi-user sequencing and scheduling along with the compression and transmission rate control. Our results show that multi-user sequence optimization significantly improves the energy efficiency performance of the system, and especially the performance gain is large when the delay bound is stringent. This is advantageous for lower latency MTC.

    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
    Publication statusPublished - 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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