- AURUM Mühendislik Sistemleri ve Mimarlık Dergisi
- Volume:8 Issue:2
- IMPROVING THE LIMITATIONS IN THE CAPACITY OF FIBER OPTICS USING MODIFIED NONLINEAR FOURIER TRANSFORM
IMPROVING THE LIMITATIONS IN THE CAPACITY OF FIBER OPTICS USING MODIFIED NONLINEAR FOURIER TRANSFORM
Authors : Qusay Muaad Alı, Osman Nuri Uçan
Pages : 190-205
Doi:10.53600/ajesa.863296
View : 11 | Download : 51
Publication Date : 2024-12-31
Article Type : Research Paper
Abstract :The central objective of this work is to suggest and develop one simple, unified method for communication over optical fiber networks, valid for all values of dispersion and nonlinearity parameters, and for a single-user channel or a multiple-user network. The method is based on the nonlinear Fourier transform (NFT), a powerful tool in soliton theory and exactly solvable models for solving integral partial differential equations governing wave propagation in certain nonlinear media. The NFT related signal degrees of freedom in such models, in much the same way that the Fourier transform does for linear systems. In this thesis, this observation is exploited for data transmission over integral channels such as optical fibers, where pulse propagation is governed by the nonlinear Schödinger (NLS) equation. In this transmission scheme, which can be viewed as a nonlinear analogue of orthogonal frequency-division multiplexing commonly used in linear channels, information is encoded in the nonlinear spectrum of the signal. Just as the (ordinary) Fourier transform converts a linear convolutional channel into a number of parallel scalar channels, the nonlinear Fourier transform converts a nonlinear dispersive channel described by a lax convolution into a number of parallel scalar channels. Since, in the spectral coordinates the NLS equation is multiplicative, users of a network can operate in independent nonlinear frequency bands with no deterministic inter-channel interference.Keywords : Vertical cavity surface emitting laser, Data transmission, Fiber optics, Dispersion shifted fiber, Power consumption, Fourier transform