TY - GEN
T1 - Kolmogorov Model for Large Millimeter-Wave Antenna Arrays
T2 - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
AU - Chan, Wai Ming
AU - Ghauch, Hadi
AU - Kim, Taejoon
AU - De Carvalho, Elisabeth
AU - Fodor, Gabor
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - 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.
AB - 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.
KW - Kolmogorov model
KW - Millimeter wave
KW - beam-alignment
KW - learning-based beam alignment
KW - prediction
UR - https://www.scopus.com/pages/publications/85083337665
U2 - 10.1109/IEEECONF44664.2019.9048734
DO - 10.1109/IEEECONF44664.2019.9048734
M3 - Conference contribution
AN - SCOPUS:85083337665
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 411
EP - 415
BT - Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
A2 - Matthews, Michael B.
PB - IEEE Computer Society
Y2 - 3 November 2019 through 6 November 2019
ER -