Expectation propagation-based active user detection and channel estimation for massive machine-type communications

Jinyoup Ahn, Byonghyo Shim, Kwang Bok Lee

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

    3 Citations (Scopus)

    Abstract

    In massive machine-type communication (mMTC), by utilizing sporadic device activities, compressed sensing based multi-user detection (CS-MUD) can be used to recover sparse multi-user vectors in the grant-free uplink non-orthogonal multiple access (NOMA) environments. In CS-MUD, the channel state information (CSI) between each active device and the basestation should be estimated before the symbol detection. In this paper, we propose a novel Bayesian joint active user detection (AUD) and channel estimation (CE) method based on the expectation propagation (EP) algorithm. The proposed method finds the best Gaussian approximation for the computationally intractable posterior distribution of the sparse channel vector using iterative EP parameter update rules. Using the approximated distribution, identification and CSI estimation of active devices are jointly performed. We show from numerical simulations that the proposed technique greatly improves the performance of AUD and CE.

    Original languageEnglish
    Title of host publication2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-6
    Number of pages6
    ISBN (Electronic)9781538643280
    DOIs
    Publication statusPublished - 2018 Jul 3
    Event2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Kansas City, United States
    Duration: 2018 May 202018 May 24

    Publication series

    Name2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings

    Other

    Other2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018
    Country/TerritoryUnited States
    CityKansas City
    Period18/5/2018/5/24

    Bibliographical note

    Funding Information:
    ACKNOWLEDGMENT This work was supported by the Institute for Information and Communications Technology Promotion through Korea Government under grant 2016-0-00209, and LG Electronics Co. Ltd.

    Publisher Copyright:
    © 2018 IEEE.

    Keywords

    • Active user detection
    • Channel estimation
    • Compressed sensing
    • Expectation propagation
    • Massive machine-type communication
    • Nonorthogonal multiple access

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture

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