Kolmogorov Model for Large Millimeter-Wave Antenna Arrays: Learning-based Beam-Alignment

Wai Ming Chan, Hadi Ghauch, Taejoon Kim, Elisabeth De Carvalho, Gabor Fodor

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

A new approach is presented to the problem of beam alignment for large-dimensional millimeter-wave antenna systems, with a single radio-frequency chain, based on the application of the Kolmogorov Model (KM) framework to enable learning-based beam alignment. Unlike the conventional exhaustive search-based approach, the proposed KM does not require the entire beam space search, i.e., the number of beam soundings can be extremely smaller than the conventional approach, which is achieved by exploiting the predictive power of KM. We show, across several metrics, that by just sounding 25% of the beams, the proposed method approaches the performance of the exhaustive search method. Simulation results that validate the training and test performance of KM and illustrate the new method with significantly reduced overhead are presented.

Original languageEnglish
Title of host publication2019 53rd Asilomar Conference on Signals, Systems, and Computers
EditorsMichael B. Matthews
Number of pages5
PublisherIEEE
Publication date10 Mar 2020
Pages411-415
Article number9048734
ISBN (Print)978-1-7281-4301-9
ISBN (Electronic)978-1-7281-4300-2
DOIs
Publication statusPublished - 10 Mar 2020
Event2019 53rd Asilomar Conference on Signals, Systems, and Computers - Pacific Grove, United States
Duration: 3 Nov 20196 Nov 2019

Conference

Conference2019 53rd Asilomar Conference on Signals, Systems, and Computers
CountryUnited States
CityPacific Grove
Period03/11/201906/11/2019
SeriesAsilomar Conference on Signals, Systems and Computers. Conference Record
ISSN1058-6393

Keywords

  • Kolmogorov model
  • Millimeter wave
  • beam-alignment
  • learning-based beam alignment
  • prediction

Fingerprint Dive into the research topics of 'Kolmogorov Model for Large Millimeter-Wave Antenna Arrays: Learning-based Beam-Alignment'. Together they form a unique fingerprint.

  • Cite this

    Chan, W. M., Ghauch, H., Kim, T., De Carvalho, E., & Fodor, G. (2020). Kolmogorov Model for Large Millimeter-Wave Antenna Arrays: Learning-based Beam-Alignment. In M. B. Matthews (Ed.), 2019 53rd Asilomar Conference on Signals, Systems, and Computers (pp. 411-415). [9048734] IEEE. Asilomar Conference on Signals, Systems and Computers. Conference Record https://doi.org/10.1109/IEEECONF44664.2019.9048734