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We propose a lightweight context-aware online learning algorithm, namely FML, with proven performance bound and guaranteed convergence.
In this paper, we propose fast machine learning (FML), which is a low-complexity and a highly scalable online learning algorithm for mmWave base stations. FML ...
Apr 27, 2018 · In this paper, we propose fast machine learning (FML), which is a low-complexity and a highly scalable online learning algorithm for mmWave base ...
This work proposes the first online learning algorithm addressing the problem of beam selection with environment-awareness in mmWave vehicular systems as a ...
An online beamalignment algorithm for mmWave vehicular communications was introduced in [15], which uses the vehicle's direction of arrival as a contextual ...
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FML: Fast Machine Learning for 5G mmWave Vehicular Communications. A. Asadi, S. Müller, G. Sim, A. Klein, and M. Hollick. INFOCOM, page 1961-1969. IEEE ...
Sep 26, 2018 · We propose a lightweight context-aware online learning algorithm, namely fast machine learning (FML), with proven performance bound and guaranteed convergence.
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FML: Fast Machine Learning for 5G mmWave Vehicular Communications. IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. Millimeter-Wave (mmWave) ...
FML: Fast Machine Learning for 5G mmWave Vehicular Communications. A Asadi, S Müller, GHA Sim, A Klein, M Hollick. Proceedings of IEEE INFOCOM'18, 1961-1969 ...