138 citations · 265 across the 13 of their papers we have counts for
14 papers
PDL Impact on Linearly Coded Digital Phase Conjugation Techniques in CO-OFDM Systems
O. S. Sunish Kumar, A. Amari, O. A. Dobre +1
We investigate the impact of polarization-dependent loss (PDL) on the linearly coded digital phase conjugation (DPC) techniques in coherent optical orthogonal frequency division mu…
Second-Order Perturbation Theory-Based Digital Predistortion for Fiber Nonlinearity Compensation
O. S. Sunish Kumar, A. Amari, O. A. Dobre +1
The first-order (FO) perturbation theory-based nonlinearity compensation (PB-NLC) technique has been widely investigated to combat the detrimental effects of the intra-channel Kerr…
A Spectrally Efficient Linear Polarization Coding Scheme for Fiber Nonlinearity Compensation in CO-OFDM Systems
O. S. Sunish Kumar, O. A. Dobre, R. Venkatesan +4
In this paper, we propose a linear polarization coding scheme (LPC) combined with the phase conjugated twin signals (PCTS) technique, referred to as LPC-PCTS, for fiber nonlinearit…
Intra-Channel Nonlinearity Compensation Based on Second-Order Perturbation Theory
O. S. Sunish Kumar, A. Amari, O. A. Dobre +1
The first-order (FO) perturbation theory has been widely investigated to design the digital nonlinearity compensation (NLC) technique to deal with the intra-channel fiber nonlinear…
Fiber Nonlinearity Mitigation via the Parzen Window Classifier for Dispersion Managed and Unmanaged Links
Abdelkerim Amari, Xiang Lin, Octavia A. Dobre +2
Machine learning techniques have recently received significant attention as promising approaches to deal with the optical channel impairments, and in particular, the nonlinear effe…
A Machine Learning-Based Detection Technique for Optical Fiber Nonlinearity Mitigation
Abdelkerim Amari, Xiang Lin, Octavia A. Dobre +2
We investigate the performance of a machine learning classification technique, called the Parzen window, to mitigate the fiber nonlinearity in the context of dispersion managed and…