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

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

QC 20200626
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.

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering hsv//eng
beam-alignment
Kolmogorov model
learning-based beam alignment
Millimeter wave
prediction
Alignment
Antenna arrays
Computational complexity
Computer circuits
Microwave antennas
Millimeter waves
Beam alignments
Conventional approach
Millimeter wave antenna arrays
Millimeter-wave antennas
Predictive power
Radio frequency chains
Test performance
Learning systems

Ghauch, H. (författare)
Kim, T. (författare)
De Carvalho, E. (författare)
Fodor, Gabor,1964-KTH,Reglerteknik,Ericsson Research, Kista, Sweden(Swepub:kth)u1cec4wg (författare)
KTHReglerteknik (creator_code:org_t)

Ingår i:Conference Record - Asilomar Conference on Signals, Systems and Computers: Institute of Electrical and Electronics Engineers (IEEE), s. 411-415

Av författaren/redakt...: Chan, W. M.; Ghauch, H.; Kim, T.; De Carvalho, E.; Fodor, Gabor, 19 ...

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