Method of assessing the information reliability of in 5G wireless transmission systems

• Autorzy: Vasylenko Vladyslav , Zaitsev Serhii , Tkach Yuliіa , Korchenko Oleksander , Ziubina Ruslana , Veselska Olga

Identyfikatory

DOI

10.24425/ijet.2024.149532

• Języki publikacji: EN

Abstrakty

EN

The article proposes a method of assessing information transmission reliability by using the output normalized logarithmic ratio of the likelihood function (LRLF) of the decoder. Based on the evaluation, the method allows adapting system parameters with turbo codes (TC) or LDPC code. This method can be used in combination with other methods of parametric and structural adaptation using turbo codes or LDPC codes.

Słowa kluczowe

EN

logarithmic ratio of the likelihood function; turbo codes; LDPC code

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2024
• Tom: Vol. 70, No. 1
• Strony: 205--210
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Vasylenko Vladyslav

• Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine, Kyiv, Ukraine

autor

Zaitsev Serhii

• University of Technology, Kielce, Poland

autor

Tkach Yuliіa

• Chernihiv Polytechnic National University, Chernihiv, Ukraine

autor

Korchenko Oleksander

• Department of Information Technology Security of National Aviation University, Kyiv, Ukraine

autor

Ziubina Ruslana

• Department of Computer Science and Automatics of the University of Bielsko-Biala, Bielsko-Biala, Poland

autor

Veselska Olga

• Department of Computer Science and Automatics of the University of Bielsko-Biala, Bielsko-Biala, Poland

Bibliografia

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• [6] M. Sanz Rodrigo, D. Rivera, JI Moreno, M. Álvarez-Campana and DR López, “Digital Twins for 5G Networks: A Modeling and Deployment Methodology,” in IEEE Access, vol. 11, pp. 38112-38126, 2023, doi:10.1109/ACCESS.2023.3267548
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• [10] MacKay DJC, Near RM, “Shannon limit performance of low density parity check codes,” Electron. Lett., 1996, Vol. 32, no. 18, p. 457-458.
• [11] Takeuchi K. A, Muller RR, Vehkapera M., “Construction of Turbo-Like Codes for Iterative Channel Estimation Based on Probabilistic Bias,” 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011, p. 1-5. doi:10.1109/GLOCOM.2011.6133738
• [12] Arvinte M., Tewfik AH, Vishwanath S., “EQ-Net: Joint Deep Learning-Based Log-Likelihood Ratio Estimation and Quantization,” ArXiv,abs/2012.12843v2.
• [13] Jin X., Eckford AW, Fuja TE, “Analysis of Joint Channel Estimation and LDPC Decoding on Block Fading Channels,” International Symposium on Information Theory and its Applications, ISITA2004 Parma, Italy, October 10-13. - 2004. P. 679-684.
• [14] 14. Berrou C., “Codes and Turbo Codes”, Springer, 2010. - 415 p.
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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).