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Kolmogorov Model fo...
Kolmogorov Model for Large Millimeter-Wave Antenna Arrays : Learning-based Beam-Alignment
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Chan, W. M. (författare)
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Ghauch, H. (författare)
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Kim, T. (författare)
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De Carvalho, E. (författare)
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- Fodor, Gabor, 1964- (författare)
- KTH,Reglerteknik,Ericsson Research, Kista, Sweden
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2019
- 2019
- Engelska.
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Ingår i: Conference Record - Asilomar Conference on Signals, Systems and Computers. - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 411-415
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- 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
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)