Geometrically shaped multi-dimensional modulation formats designed by deep learning
Author:
Affiliation:
1. Department of Electrical and Electronic Systems Engineering, Ibaraki University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/comex/12/4/12_2022XBL0176/_pdf
Reference9 articles.
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4. [4] G. Böcherer, F. Steiner, and P. Schulte, “Bandwidth efficient and rate-matched low-density parity-check coded modulation,” IEEE Trans. Commun., vol. 63, no. 12, pp. 4651-4665, 2015. DOI: 10.1109/TCOMM.2015.2494016
5. [5] F. Buchali, F. Steiner, G. Böcherer, L. Schmalen, P. Schulte, and W. Idler, “Rate adaptation and reach increase by probabilistically shaped 64-QAM: an experimental demonstration,” J. Lightw. Technol., vol. 34, no. 7, pp. 1599-1609, 2016. DOI: 10.1109/JLT.2015.2510034
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