Journal article · Ahead of Print article
Time-Domain Neural Network Receiver for Nonlinear Frequency Division Multiplexed Systems
The nonlinear Fourier transform is a new approach of addressing the capacity limiting Kerr nonlinearities in optical communication systems. It exploits the property of integrability of the lossless nonlinear Schrödinger equation and thus incorporates nonlinearities as an element of the transmission.
However, practical links employing erbium-doped fiber amplifiers include losses/gains and introduce noise which breaks the integrability of the nonlinear Schrödinger equation. Although the lossless path average approximation proposes an integrable model, its imprecision still leads to unintended distortions and thus performance degradation.
We propose an alternative receiver for nonlinear frequency division multiplexing optical communication systems using techniques from machine learning. It is highly adaptive as it learns from previously transmitted pulses and thus holds no assumptions on the system and noise distribution. The detection method presented is fully applied in time-domain and omits the nonlinear Fourier transform.
The numerical results provide a benchmark for nonlinear Fourier transform based detection of high order solitons for fiber links with losses and noise present.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2018 |
| Pages: | 1079-1082 |
| ISSN: | 19410174 and 10411135 |
| Types: | Journal article and Ahead of Print article |
| DOI: | 10.1109/LPT.2018.2831693 |
| ORCIDs: | Gaiarin, Simone , Yankov, Metodi Plamenov and Zibar, Darko |
(inverse) Nonlinear Fourier transform Coherent communication Machine Learning Optical fiber communication
(inverse) nonlinear Fourier transform Distortion Eigenvalues and eigenfunctions Fourier transforms Optical losses Receivers Schrodinger equation Solitons Time-domain analysis approximation theory capacity limiting Kerr nonlinearities coherent communication erbium erbium-doped fiber amplifiers fiber links frequency division multiplexing high order soliton detection integrability property integrable model learning (artificial intelligence) lossless nonlinear Schrödinger equation lossless path average approximation machine learning neural nets noise distribution nonlinear Fourier transform nonlinear frequency division multiplexed systems optical Kerr effect optical communication systems optical fibre amplifiers optical fibre communication optical modulation optical noise optical solitons telecommunication computing time-domain neural network receiver
