Best Papers
 Automatic Channel Coding Recognition Using Convolution-TKAN 


Vol. 50,  No. 4, pp. 603-610, Apr.  2025
10.7840/kics.2025.50.4.603


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  Abstract

Automatic channel coding recognition is a technology that automatically recognizes the channel coding type of the received signal in a wireless communication system, which contributes to improving the efficiency of data communication and smooth signal reception in non-cooperative communication situations where prior information is unknown. Recently, due to the development of deep learning technology, deep learning techniques have been utilized for automatic channel coding recognition. This paper proposes an automatic channel coding recognition technique based on Convolution-TKAN model. By simultaneously using a Convolution layer to extract local features and a TKAN layer to extract time-series features, it can efficiently learn various channel encoding methods. The proposed channel coding recognition technique improves the recognition accuracy by about 6% on average compared to common deep learning models such as CNN and GRU.

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[IEEE Style]

E. Cha and W. Lim, "Automatic Channel Coding Recognition Using Convolution-TKAN," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 4, pp. 603-610, 2025. DOI: 10.7840/kics.2025.50.4.603.

[ACM Style]

Eunjae Cha and Wansu Lim. 2025. Automatic Channel Coding Recognition Using Convolution-TKAN. The Journal of Korean Institute of Communications and Information Sciences, 50, 4, (2025), 603-610. DOI: 10.7840/kics.2025.50.4.603.

[KICS Style]

Eunjae Cha and Wansu Lim, "Automatic Channel Coding Recognition Using Convolution-TKAN," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 4, pp. 603-610, 4. 2025. (https://doi.org/10.7840/kics.2025.50.4.603)
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