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http://dx.doi.org/10.17661/jkiiect.2020.13.5.338

A Study on the Decoding of Hamming Codes using Soft Values on the Molecular Communication Channel  

Cheong, Ho-Young (Department of Information and Communication Engineering, Namseoul University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.13, no.5, 2020 , pp. 338-343 More about this Journal
Abstract
In this paper, it was shown that the decoding method of Hamming codes using soft values can be applied to molecular communication channels. A soft value criterion that can be used for decoding of Hamming codes for a molecular communication channel was proposed, and it has been shown through simulation that the decoding method using these values can improve reliability even in the molecular communication channel. A diffusion-based molecular communication channel was assumed, and information symbols were transmitted using BCSK modulation. After demodulating the number of molecules absorbed by the receiver at each symbol interval with an appropriate threshold, the number of molecules is no longer used. In this paper, the BER performance of the decoder was improved by utilizing information on the number of molecules that are no longer used as soft values in the decoding process. Simulation was performed to confirm the improvement in BER performance. When the number of molecules per bit is 600, the error rate of the Hamming code (15,11) was improved about 5.0×10-3 to the error rate of the BCSK system without the Hamming code. It can be seen that the error rate of (15,11) Hamming code with the soft values was improved to the same extent. In the case of (7,4) Hamming code, the result is similar to that of (15,11) Hamming code. Therefore, it can be seen that the BER performance of the Hamming code can be greatly improved even in the molecular communication channel by using the difference between the number of molecules absorbed by the receiver and the threshold value as a soft value.
Keywords
Binary Concentration Shift Keying; Diffusion-based Molecular Communication; Hamming Code; Soft Value; Syndrome Decoding; Threshold Value;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 Po-Jen Shih, Chia-Han Lee, Ping-Cheng Yeh, Kwang-Cheng Chen, "Channel Codes for Reliability Enhancement in Molecular Communication," IEEE Journal on Selected Areas in Communications ( Volume: 31 , Issue: 12 , December 2013 , Vol. 31, Issue 12, pp. 857-867,December 2013.   DOI
2 Hoyoung Cheong, "An Improved Decoding Scheme of Hamming Codes using Soft Values," The Journal of KIIECT, Vol. 12, No. 1, pp. 37-42, February 2019.
3 Yi Lu, Xiayang Wang, Matthew D. Higgins, Adam Noel, Neophytos Neophytou, Mark. S. Leeson, "Energy Requirements of Error Correction Codes in Diffusion-Based Molecular Communication Systems ,"Nano Communications Networks, Vol. 11, pp. 24-35, March 2017.   DOI
4 W. Guo, T. Asyhari, N. Farsad, H. B. Yilmaz, B. Li, A. Eckford, C-B Chae, "Molecular Communications: Channel Model and Physical Layer Techniques," IEEE Wireless Communications, vol. 23, no. 4, pp. 120-127 , 2016.   DOI
5 H. Birkan, MolecUlar CommunicatIoN (MUCIN) Simulator,https://kr.mathworks.com/matlabcentral/fileexchange/46066-molecular-communication-mucin-simulator
6 W. Guo, , B. Li, S. Wang, and W. Liu, "Molecular Communications with longitudinal carrier waves: baseband to passband modulation," IEEE Communication Letters, Vol. 19, Issue:9, pp. 1512-1515, Sept. 2015.   DOI
7 Hoyoung Cheong, "An Improved Decoding Scheme of LCPC Codes," The Journal of KIIECT, Vol. 11, No. 4, pp. 430-435, Aug. 2018.