most citedAnalysis of Nonlinear Fiber Interactions for Finite-Length Constant-Composition Sequences

49 citations · 74 across the 4 of their papers we have counts for

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5 papers

eess.SP2020

Huffman-Coded Sphere Shaping for Extended-Reach Single-Span Links

Pavel Skvortcov, Ian Phillips, Wladek Forysiak +4

Huffman-coded sphere shaping (HCSS) is an algorithm for finite-length probabilistic constellation shaping, which provides nearly optimal energy efficiency at low implementation com…

eess.SP202025 cited

Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables

Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +3

In this paper, we study amplitude shaping schemes for the probabilistic amplitude shaping (PAS) framework as well as algorithms for constant-composition distribution matching (CCDM…

eess.SP202049 cited

Analysis of Nonlinear Fiber Interactions for Finite-Length Constant-Composition Sequences

Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +3

In order to realize probabilistically shaped signaling within the probabilistic amplitude shaping (PAS) framework, a shaping device outputs sequences that follow a certain nonunifo…

eess.SP2019

Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation

Toshiaki Koike-Akino, Ye Wang, David S. Millar +2

Recently, data-driven approaches motivated by modern deep learning have been applied to optical communications in place of traditional model-based counterparts. The application of…

eess.SP2019

Parallel-Amplitude Architecture and Subset Ranking for Fast Distribution Matching

Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +2

A distribution matcher (DM) maps a binary input sequence into a block of nonuniformly distributed symbols. To facilitate the implementation of shaped signaling, fast DM solutions w…