Mismatched Models to Lower Bound the Capacity of Dual-Polarization Optical Fiber Channels

Regular perturbation is applied to the Manakov equation and motivates a generalized correlated phase-and-additive noise model for wavelength-division multiplexing over dual-polarization optical fiber channels. The model includes three hidden Gauss-Markov processes: phase noise, polarization rotation...

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Bibliographic Details
Published inJournal of lightwave technology Vol. 39; no. 11; pp. 3390 - 3399
Main Authors Garcia-Gomez, Francisco Javier, Kramer, Gerhard
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Achievable rate
Channels
Computational modeling
Delays
Dispersion
Dual polarization (waves)
dual-polarization
Efficiency
Gaussian process
Lower bounds
Markov processes
Mathematical model
Noise
optical fiber
Optical fibers
Optical polarization
Perturbation
Perturbation methods
Phase noise
Power efficiency
regular perturbation
Wavelength division multiplexing
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Summary:Regular perturbation is applied to the Manakov equation and motivates a generalized correlated phase-and-additive noise model for wavelength-division multiplexing over dual-polarization optical fiber channels. The model includes three hidden Gauss-Markov processes: phase noise, polarization rotation, and additive noise. Particle filtering is used to compute lower bounds on the capacity of multi-carrier communication with frequency-dependent powers and delays. A gain of 0.17 bits/s/Hz/pol in spectral efficiency or 0.8 dB in power efficiency is achieved with respect to existing models at their peak data rate. Frequency-dependent delays also increase the spectral efficiency of single-polarization channels.
ISSN:0733-8724
1558-2213
DOI:10.1109/JLT.2021.3069686