Performance Improvement of Fast Time-Varying OFDM Channel Estimation by Machine Learning 


Vol. 44,  No. 2, pp. 281-284, Feb.  2019
10.7840/kics.2019.44.2.281


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  Abstract

The determination of system parameter values is very complicated for improving the performance of fast time-varying OFDM channel estimation with low complexity CE-BEM. In this letter, we propose a method to mitigate the problem of the CE-BEM by machine learning.

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  Cite this article

[IEEE Style]

D. Lim, "Performance Improvement of Fast Time-Varying OFDM Channel Estimation by Machine Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 2, pp. 281-284, 2019. DOI: 10.7840/kics.2019.44.2.281.

[ACM Style]

Dongmin Lim. 2019. Performance Improvement of Fast Time-Varying OFDM Channel Estimation by Machine Learning. The Journal of Korean Institute of Communications and Information Sciences, 44, 2, (2019), 281-284. DOI: 10.7840/kics.2019.44.2.281.

[KICS Style]

Dongmin Lim, "Performance Improvement of Fast Time-Varying OFDM Channel Estimation by Machine Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 2, pp. 281-284, 2. 2019. (https://doi.org/10.7840/kics.2019.44.2.281)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880