Deep-learning-aided design of LDPC coding scheme for two-user Gaussian multiple access channels
Author:
Affiliation:
1. Tokyo University of Science, Japan
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/comex/11/2/11_2021XBL0200/_pdf
Reference6 articles.
1. [1] A. Amraoui, S. Dusad, and R. Urbanke, “Achieving general points in the 2-user Gaussian MAC without time-sharing or rate-splitting by means of iterative coding,” Proc. IEEE Int. Symp. Inf. Theory, 334, July 2002. DOI: 10.1109/ISIT.2002.1023606
2. [2] A. Roumy and D. Declercq, “Characterization and optimization of LDPC codes for the 2-user Gaussian multiple access channel,” EURASIP J. Wireless Commun. Netw., vol. 2007, 074890, May 2007. DOI: 10.1155/2007/74890
3. [3] S. Sharifi, A.K. Tanc, and T.M. Duman, “LDPC code design for the two-user Gaussian multiple access channel,” IEEE Trans. Wireless Commun., vol. 15, no. 4, pp. 2833-2844, April 2016. DOI: 10.1109/TWC.2015.2511749
4. [4] J. Du, L. Zhou, L. Yang, S. Peng, and J. Yuan, “A new LDPC coded scheme for two-user Gaussian multiple access channels,” IEEE Commun. Lett., vol. 22, no. 1, pp. 21-24, Jan. 2018. DOI: 10.1109/LCOMM.2017.2760252
5. [5] E. Nachmani, E. Marciano, L. Lugosch, W.J. Gross, D. Burshtein, and Y. Be’ery, “Deep learning methods for improved decoding of linear codes,” IEEE J. Sel. Topics Signal Process., vol. 12, no. 1, pp. 119-131, Feb. 2018. DOI: 10.1109/JSTSP.2017.2788405
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