Compressive-sensing based beam and channel tracking with reconfigurable hybrid beamforming in mmwave MIMO OFDM systems

Sau Hsuan Wu, Guan Yu Lu

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

    1 Scopus citations

    Abstract

    An efficient beam and channel tracking method is developed under a reconfigurable hybrid beamforming (R-HBF) architecture for wideband millimeter wave (mmWave) multiple input multiple output (MIMO) systems. With the R-HFB architecture, a multi-resolution compressive sensing (CS) method is proposed for initial beam and channel acquisitions in mmWave MIMO orthogonal frequency division multiplexing (OFDM) systems. With the initial beam and channel estimates, recursive schemes are further developed to track the angles of arrivals and departures and the channel coefficients of time-varying multiple channel paths. Simulation results show that the proposed method can significantly reduce the beam training time with a beam selection error rate less than 10^{-3} at typical vehicular speeds when the transmit power is greater than 10 dBm.

    Original languageEnglish
    Title of host publication2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728112206
    DOIs
    StatePublished - Sep 2019
    Event90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
    Duration: 22 Sep 201925 Sep 2019

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume2019-September
    ISSN (Print)1550-2252

    Conference

    Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
    Country/TerritoryUnited States
    CityHonolulu
    Period22/09/1925/09/19

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