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Title: Physical layer modelling of optical fibre communication systems in the nonlinear regime
Author: Semrau, Daniel Francis
ISNI:       0000 0004 9359 4206
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2020
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This thesis describes substantial advances in the physical layer modelling of optical fibre communication systems in the nonlinear regime. Optical communication networks are currently limited by the optical Kerr nonlinearity which imposes an upper bound on the information throughput that can be achieved in such systems. Novel analytical descriptions of the fibre channel are required, to accurately predict this performance limitation and to develop effective algorithms to potentially mitigate it. Novel, low complexity models are proposed, that predict the nonlinear distortions arising from the Kerr effect, particularly in the context of next-generation, ultra-wideband transmission systems, where optical bandwidths exceed the conventional 5 THz window (C-band). Over such wide bandwidths, the delayed nature of the nonlinear fibre response becomes significant, giving rise to inter-channel stimulated Raman scattering (ISRS). A new low-complexity model is derived: based on a first-order regular perturbation approach, it accurately describes the impact of ISRS on the nonlinear distortions. Furthermore, approximations in closed-form are proposed, enabling efficient system design and real-time optimisation. The results are significant to enable rapid modelling of ultra-wideband communication systems in the nonlinear regime. Additionally, it is theoretically and experimentally shown that nonlinear interactions between signal and noise from the transceiver sub-system become performance limiting in nonlinearity-compensated fibre transmission. These interactions, which have previously been overlooked, challenge state-of-the art proposals on the optimal design of digital nonlinearity compensation algorithms, such as digital back-propagation. Enabled by the new model, a new optimal design is proposed suggesting substantial gains of around 25% in reach with respect to previously published designs. The research results can be directly applied to enable more rapid, efficient and accurate analysis and design of large bandwidth optical networks.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available