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

TL;DR

This paper develops a new correlated noise model for dual-polarization optical fiber channels using perturbation of the Manakov equation, and employs particle filtering to establish capacity lower bounds, demonstrating improved spectral efficiency.

Contribution

It introduces a generalized noise model with hidden Gauss-Markov processes and applies particle filtering to derive capacity bounds, advancing understanding of optical fiber channel limits.

Findings

Achieves 0.17 bits/s/Hz/pol gain in spectral efficiency

Demonstrates 0.8 dB power efficiency improvement

Shows frequency-dependent delays enhance single-polarization spectral efficiency

Abstract

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.