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

Sau Hsuan Wu, Guan Yu Lu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728112206
DOIs
出版狀態Published - 九月 2019
事件90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
持續時間: 22 九月 201925 九月 2019

出版系列

名字IEEE Vehicular Technology Conference
2019-September
ISSN(列印)1550-2252

Conference

Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
國家United States
城市Honolulu
期間22/09/1925/09/19

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  • 引用此

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