Practical Implementation of Sequence Selection for Nonlinear Probabilistic Shaping

10/23/2022

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We propose two novel techniques to implement sequence selection (SS) for fiber nonlinearity mitigation, demonstrating a nonlinear shaping gain of 0.24 bits/s/Hz, just 0.1 bits/s/Hz below the SS capacity lower bound.

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Practical Implementation of Sequence Selection for Nonlinear Probabilistic Shaping

A Sequence Selection Bound for the Capacity of the Nonlinear Fiber Channel

Nonlinear Probabilistic Constellation Shaping with Sequence Selection

Probabilistic Amplitude Shaping and Nonlinearity Tolerance: Analysis and Sequence Selection Method

Lower bounds for the number of random bits in Monte Carlo algorithms

Encoding Individual Source Sequences for the Wiretap Channel

New Lower Bounds on the Capacity of Optical Fiber Channels via Optimized Shaping and Detection

Nonlinear prediction with neural nets in ADPCM

Practical Implementation of Sequence Selection for Nonlinear Probabilistic Shaping

Related Research

A Sequence Selection Bound for the Capacity of the Nonlinear Fiber Channel

Nonlinear Probabilistic Constellation Shaping with Sequence Selection

Probabilistic Amplitude Shaping and Nonlinearity Tolerance: Analysis and Sequence Selection Method

Lower bounds for the number of random bits in Monte Carlo algorithms

Encoding Individual Source Sequences for the Wiretap Channel

New Lower Bounds on the Capacity of Optical Fiber Channels via Optimized Shaping and Detection

Nonlinear prediction with neural nets in ADPCM