Kerr-induced nonlinearity reduction in coherent optical OFDM by low complexity support vector machine regression-based equalization
E. Giacoumidis, S. Mhatli, T. Nguyen, S. T. Le, I. Aldaya, M. A. McCarthy, B. J. Eggleton
ARTIGO
Inglês
We experimentally demonstrate 7-dB reduction of nonlinearity penalty in 40-Gb/s CO-OFDM at 2000-km using support vector machine regression-based equalization. Simulation in WDM-CO-OFDM shows up to 12-dB enhancement in Q-factor compared to linear equalization
Fechado
DOI: https://doi.org/10.1364/OFC.2016.Th2A.49
Texto completo: https://ieeexplore.ieee.org/document/7537387
Kerr-induced nonlinearity reduction in coherent optical OFDM by low complexity support vector machine regression-based equalization
E. Giacoumidis, S. Mhatli, T. Nguyen, S. T. Le, I. Aldaya, M. A. McCarthy, B. J. Eggleton
Kerr-induced nonlinearity reduction in coherent optical OFDM by low complexity support vector machine regression-based equalization
E. Giacoumidis, S. Mhatli, T. Nguyen, S. T. Le, I. Aldaya, M. A. McCarthy, B. J. Eggleton
Fontes
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2016 Optical Fiber Communications Conference and Exhibition (OFC) (Fonte avulsa) |