Signal Design and Machine Learning Assisted Nonlinearity Compensation for Coherent Optical Fibre Communication Links
The thesis was published by
Dzieciol, Hubert,
in February 2023,
UCL (University College London).
Abstract:
This thesis investigates low-complexity digital signal processing (DSP) for signal design and nonlinearity compensation strategies to improve the performance of single-mode optical fibre links over different distance scales.
The performance of a novel ML-assisted inverse regular perturbation technique that mitigates fibre nonlinearities was investigated numerically with a dual-polarization 64 quadrature amplitude modulation (QAM) link over 800 km distance. The model outperformed the heuristically-optimised digital backpropagation approach with
The full thesis can be downloaded at :
https://discovery.ucl.ac.uk/id/eprint/10165513/2/PhD_Thesis_final.pdf
https://discovery.ucl.ac.uk/id/eprint/10165513/2/PhD_Thesis_final.pdf