Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search

12/06/2021
by   Andrej Rode, et al.
0

We perform geometric constellation shaping with optimized bit labeling using a binary autoencoder including a differential blind phase search (BPS). Our approach enables full end-to-end training of optical coherent transceivers taking into account the digital signal processing.

READ FULL TEXT

page 1

page 2

page 3

research
12/07/2022

End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search

As the demand for higher data throughput in coherent optical communicati...
research
03/15/2018

Interplay of Probabilistic Shaping and the Blind Phase Search Algorithm

Probabilistic shaping (PS) is a promising technique to approach the Shan...
research
12/05/2022

Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels

We show that separating the in-phase and quadrature component in optimiz...
research
07/19/2019

End-to-end Learning for GMI Optimized Geometric Constellation Shape

Autoencoder-based geometric shaping is proposed that includes optimizing...
research
06/24/2022

Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters

We present a novel method to investigate the effects of varying channel ...
research
12/17/2010

Detecting Image Forgeries using Geometric Cues

This chapter presents a framework for detecting fake regions by using va...
research
07/13/2022

Introducing γ-lifting for Learning Nonlinear Pulse Shaping in Coherent Optical Communication

Pulse shaping for coherent optical fiber communication has been an activ...

Please sign up or login with your details

Forgot password? Click here to reset