Improving DML-Based OFDM Transmission by a Filter-Aided Neural Network Equalizer | IEEE Conference Publication | IEEE Xplore

Improving DML-Based OFDM Transmission by a Filter-Aided Neural Network Equalizer


Abstract:

We propose a filter-aided NN to compensate 10G-DML-based OFDM transmission, avoiding low-frequency SNR degradation. After 100- and 150-km SMF, the data rates are increase...Show More

Abstract:

We propose a filter-aided NN to compensate 10G-DML-based OFDM transmission, avoiding low-frequency SNR degradation. After 100- and 150-km SMF, the data rates are increased by 95 and 130% to achieve ~40 and 32 Gbps, respectively.
Date of Conference: 03-07 March 2019
Date Added to IEEE Xplore: 25 April 2019
ISBN Information:
Conference Location: San Diego, CA, USA

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