A Model for Self-Phase Modulation Noise in Fiber-link Communication Systems
MetadataShow full item record
Recent tele-communication hugely relies on ﬁber-optic systems. Linear ﬁber-optic impairments can be modeled with chromatic and polarization-mode dispersion. However, nonlinear impairments such as SPM and XPM noise are much more complicated to model and compensate. In this thesis, we try to manipulate an original model which is used by Ciena Corporation -called the C-model- to achieve a simpler form which provides lower time-complexity and performs eﬃciently on random data stream during online transmission. This simpliﬁed model is deﬁned based on C-matrix which is used to calculate ﬁber-link Self-Phase Modulation (SPM) noise. Our model, which is ﬁtted on random training data sets, is evaluated with respect to diﬀerent performance measures such as Minimum Mean Square Error (MMSE). Diﬀerent analytic and iterative algorithms such as gradient Descent and Moore-Penrose pseudo-inverse method are proposed for model ﬁtting and it is shown that these algorithms perform quite eﬃciently according to error calculations. Also, we propose a method that enables us to track the perturbations in model parameters which are caused by the changes in channel characteristics that can happen frequently in online ﬁber-link transmission.
Cite this version of the work
Alireza Hosseinzadeh (2020). A Model for Self-Phase Modulation Noise in Fiber-link Communication Systems. UWSpace. http://hdl.handle.net/10012/15553