2018/12/13 by Elias Giacoumidis, Giacoumidis, Elias, Jinlong Wei +9
Engineering · Physics and Astronomy · #Advanced Fiber Laser Technologies #Advanced Photonic Communication Systems #FOS: Electrical engineering #Optical Network Technologies #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1812.05600
openalex publication_date 2018/12/13 · openalex created_date 2018/12/22 · openalex updated_date 2026/07/28
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.