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Understanding the nonlinear characteristics of the optical link is essential to exploit it effectively. Even though various expensive experimental investigations have been conducted in the literature, this paper presents a simulation model to understand the nonlinear relationship that exists between the laser intensity, the nonlinear regime of the fiber and the error probability. Firstly, an analysis model is introduced to observe the numerical relevance between the aforesaid parameters. The analysis results are graphically portrayed to determine the relevance effectively. Secondly, an optical-neural model is adopted based on the feed-forward neural network architecture to relate the parameters mathematically, without hard technical constraints. The model is experimented for the fair estimation of the required laser intensity, which achieves the least desired error probability, when the nonlinear regime of the fiber is known.

Investigating and Modeling the Effect of Laser Intensity and Nonlinear Regime of the Fiber on the Optical Link