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 contribution

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
CountryUnited States
CityHonolulu
Period22/09/1925/09/19

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    Wu, S. H., & Lu, G. Y. (2019). Compressive-sensing based beam and channel tracking with reconfigurable hybrid beamforming in mmwave MIMO OFDM systems. In 2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings [8891532] (IEEE Vehicular Technology Conference; Vol. 2019-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2019.8891532