There is a tremendous need to maximize signal capacity without sacrificing energy consumption and complexity in optical fiber communications due to the rise of network traffic demand and critical latency-aware services such as telemedicine and the Internet-of-Things. In this work, the first system-agnostic and training-data-free fiber nonlinearity compensator (NLC) using affinity propagation (AP) clustering is experimentally demonstrated. It is shown that compared to linear equalization, AP can increase the signal quality-factor up to about 5 dB in 16-quadrature-amplitude-modulated coherent optical systems by effectively tackling deterministic and stochastic nonlinearities. AP outperforms benchmark clustering algorithms and complex deterministic schemes such as K-means, fuzzy-logic, digital-back propagation and Volterra-based NLC, offering a power margin extension of up to 4 dB.
@article{arxiv.1812.05600,
title = {Fiber-induced nonlinearity compensation in coherent optical systems by affinity propagation soft-clustering},
author = {Elias Giacoumidis and Jinlong Wei and Ivan Aldaya and Christian Sanchez and Hichem Mrabet and Liam P. Barry},
journal= {arXiv preprint arXiv:1812.05600},
year = {2018}
}