Optimization of Probabilistic Shaping for Nonlinear Fiber Channels with Non-Gaussian Noise
Probabilistic constellation shaping is investigated in the context of nonlinear fiber optic communication channels. Based on a general framework, different link types are considered—1. dispersion-managed channels, 2. unrepeatered transmission channels and 3. ideal distributed Raman amplified channel...
Main Authors: | Henrik Enggaard Hansen, Metodi P. Yankov, Leif Katsuo Oxenløwe, Søren Forchhammer |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/8/872 |
Similar Items
-
A Novel Nonlinear Equalizer for Probabilistic Shaping 64-QAM Based on Constellation Segmentation and Support Vector Machine
by: Hui Xu, et al.
Published: (2022-02-01) -
Hybrid Constellation Shaping 64QAM Based on Hexagonal Lattice of Constellation Subset
by: Xiangyu Liu, et al.
Published: (2023-09-01) -
Probabilistic Shaping for Finite Blocklengths: Distribution Matching and Sphere Shaping
by: Yunus Can Gültekin, et al.
Published: (2020-05-01) -
Hierarchical Distribution Matching for Probabilistic Amplitude Shaping
by: Stella Civelli, et al.
Published: (2020-08-01) -
Mitigating the Impact of Noise on Nonlinear Frequency Division Multiplexing
by: Stella Civelli, et al.
Published: (2020-12-01)