Variational Hierarchical Posterior Matching for mmWave Wireless Channels Online Learning

Nabil Akdim, Carles Navarro Manchon, Mustapha Benjillali, Pierre Duhamel

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Abstrakt

We propose a beam alignment algorithm that enables initial access establishment between two transceivers equipped with hybrid digital-analog antenna arrays operating in millimeter wave wireless channels. The proposed method builds upon an active channel learning method based on hierarchical posterior matching that was originally proposed for single-sided beam alignment on single path dominant channels. We extend it to the double-sided alignment problem and propose an estimation framework based on variational Bayesian inference that accounts for the uncertainties on the unknown channel complex gain and noise variance. The proposed approach is numerically shown to be resilient to the single path assumption and reaches near optimal beamforming gains with a moderate training overhead, even at low signal-to-noise ratios.
OriginalsprogEngelsk
Titel2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Antal sider5
ForlagIEEE
Publikationsdato3 aug. 2020
Artikelnummer9154340
ISBN (Trykt)978-1-7281-5479-4
ISBN (Elektronisk)978-1-7281-5478-7
DOI
StatusUdgivet - 3 aug. 2020
Begivenhed2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) - Atlanta, USA
Varighed: 26 maj 202029 maj 2020

Konference

Konference2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
LandUSA
ByAtlanta
Periode26/05/202029/05/2020
NavnIEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
ISSN1948-3252

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  • Citationsformater

    Akdim, N., Manchon, C. N., Benjillali, M., & Duhamel, P. (2020). Variational Hierarchical Posterior Matching for mmWave Wireless Channels Online Learning. I 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) [9154340] IEEE. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) https://doi.org/10.1109/SPAWC48557.2020.9154340