no code implementations • 19 Nov 2022 • Shenghang Luo, Sunish Kumar Orappanpara Soman, Lutz Lampe, Jeebak Mitra
Second, we advance the state-of-the-art of learned PB-NLC by proposing and designing a fully learned structure.
no code implementations • 7 Oct 2022 • Shenghang Luo, Sunish Kumar Orappanpara Soman, Lutz Lampe, Jeebak Mitra, Chuandong Li
Several machine learning inspired methods for perturbation-based fiber nonlinearity (PBNLC) compensation have been presented in recent literature.
no code implementations • 11 Oct 2021 • Xiang Lin, Shenghang Luo, Sunish Kumar Orappanpara Soman, Octavia A. Dobre, Lutz Lampe, Deyuan Chang, Chuandong Li
The proposed scheme is evaluated by numerical simulations of a single carrier optical fiber communication system operating at 32 Gbaud with 64-quadrature amplitude modulation and 20*80 km transmission distance.
no code implementations • 19 May 2021 • O. S. Sunish Kumar, Lutz Lampe, Shenghang Luo, Mrinmoy Jana, Jeebak Mitra, Chuandong Li
We propose a fiber nonlinearity post-compensation technique using the DNN and the second-order perturbation theory.