Enhanced Compressed Sensing Based Multiuser Detection for Machine Type Communication

Mehmood Alam, Qi Zhang

    Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Compressed sensing based multiuser detection is a recently developed scheme to cope with the massive machine-type communication in the fifth generation wireless system. Activity detection is one of the critical steps in compressed sensing based multiuser detection which determines the performance of system. In this paper we address this issue and propose two approaches for efficient detection and recovery of the signal. First, the diversity in the multiuser detection is increased by using a circularly right-shifted version of the sensing matrix along with the original sensing matrix for spreading the user data. Secondly, a deterministic sensing matrix based on Zadoff-Chu sequences is designed and accordingly a low complexity decoding algorithm is proposed which significantly reduces the detection error rate. It is shown that the proposed methods reduce the bit error rate by magnitude of one and two.

    Original languageEnglish
    Title of host publication2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
    Number of pages6
    PublisherIEEE
    Publication date11 Jun 2018
    Pages1-6
    ISBN (Print)978-1-5386-1735-9
    ISBN (Electronic)978-1-5386-1734-2
    DOIs
    Publication statusPublished - 11 Jun 2018
    Event2018 IEEE Wireless Communications and Networking Conference - Centre de Convencions Internacional de Barcelona (CCIB), Barcelona, Spain
    Duration: 15 Apr 201818 Apr 2018
    http://wcnc2018.ieee-wcnc.org/

    Conference

    Conference2018 IEEE Wireless Communications and Networking Conference
    LocationCentre de Convencions Internacional de Barcelona (CCIB)
    Country/TerritorySpain
    CityBarcelona
    Period15/04/201818/04/2018
    Internet address

    Keywords

    • Compressive sensing
    • Machine type communication
    • Massive connectivity
    • Multiuser detection
    • Sporadic traffic

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