Abstract
We propose a novel low-complexity artificial neural
network (ANN)-based nonlinear equalizer (NLE) for coherent
optical orthogonal frequency-division multiplexing (CO-OFDM)
and compare it with the recent inverse Volterra-series transfer
function (IVSTF)-based NLE over up to 1000 km of uncompensated
links. Demonstration of ANN-NLE at 80-Gb/s CO-OFDM
using 16-quadrature amplitude modulation reveals a Q-factor
improvement after 1000-km transmission of 3 and 1 dB with
respect to the linear equalization and IVSTF-NLE, respectively.
network (ANN)-based nonlinear equalizer (NLE) for coherent
optical orthogonal frequency-division multiplexing (CO-OFDM)
and compare it with the recent inverse Volterra-series transfer
function (IVSTF)-based NLE over up to 1000 km of uncompensated
links. Demonstration of ANN-NLE at 80-Gb/s CO-OFDM
using 16-quadrature amplitude modulation reveals a Q-factor
improvement after 1000-km transmission of 3 and 1 dB with
respect to the linear equalization and IVSTF-NLE, respectively.
Original language | English |
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Pages (from-to) | 387-390 |
Number of pages | 4 |
Journal | IEEE Photonics Technology Letters |
Volume | 27 |
Issue number | 4 |
DOIs | |
Publication status | Published - 15 Feb 2015 |