Probabilistic vs. Geometric Constellation Shaping in Commercial Applications

Olga Vassilieva; Inwoong Kim; Hiroyuki Irie; Yohei Koganei; Hisao Nakashima; Yuichi Akiyama; Takeshi Hoshida; Paparao Palacharla

doi:10.1364/OFC.2022.Th1H.5

Optical Fiber Communication Conference (OFC) 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper Th1H.5
•https://doi.org/10.1364/OFC.2022.Th1H.5

Probabilistic vs. Geometric Constellation Shaping in Commercial Applications

Olga Vassilieva, Inwoong Kim, Hiroyuki Irie, Yohei Koganei, Hisao Nakashima, Yuichi Akiyama, Takeshi Hoshida, and Paparao Palacharla

Optical Fiber Communication Conference 2022

San Diego, California United States
6–10 March 2022
ISBN: 978-1-55752-466-9

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Advanced Modulation and Signal Processing (Th1H)

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O. Vassilieva, I. Kim, H. Irie, Y. Koganei, H. Nakashima, Y. Akiyama, T. Hoshida, and P. Palacharla, "Probabilistic vs. Geometric Constellation Shaping in Commercial Applications," in Optical Fiber Communication Conference (OFC) 2022, S. Matsuo, D. Plant, J. Shan Wey, C. Fludger, R. Ryf, and D. Simeonidou, eds., Technical Digest Series (Optica Publishing Group, 2022), paper Th1H.5.

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Abstract

We discuss performance and implementation aspects of geometric and probabilistic constellation shaping, which can be optimized for different applications. We show that symbol rate optimization with probabilistic shaping can further improve reach/capacity.

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