TY - GEN
T1 - Variational Hierarchical Posterior Matching for mmWave Wireless Channels Online Learning
AU - Akdim, Nabil
AU - Manchon, Carles Navarro
AU - Benjillali, Mustapha
AU - Duhamel, Pierre
PY - 2020/8/3
Y1 - 2020/8/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85090387752&partnerID=8YFLogxK
U2 - 10.1109/SPAWC48557.2020.9154340
DO - 10.1109/SPAWC48557.2020.9154340
M3 - Article in proceeding
SN - 978-1-7281-5479-4
T3 - IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
BT - 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
PB - IEEE
T2 - 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Y2 - 26 May 2020 through 29 May 2020
ER -