Smart long-haul fiber optic communication systems using brain-like intelligence (original) (raw)

2019 16th Canadian Workshop on Information Theory (CWIT), 2019

Abstract

Brain-inspired intelligence using the cognitive dynamic system (CDS) concept is proposed to control the quality of service (QoS) over a long haul fiber-optic link which is nonlinear and with non-Gaussian channel noise. The information extraction (Bayesian statistical modeling) using the intelligent perception processing on the received data or using the previously extracted models in the model library is carried out to estimate the quality of the transmitted data in the receiver. The BER is sent to the executive through the main feedback channel, and the executive produces actions on the physical system/signal to ensure that the BER is continuously under the forward-error-correction (FEC) threshold. Therefore, the proposed CDS is an intelligent and adaptive system that can mitigate disturbance in the fiber optic link (especially in the optical network) using prediction in the perceptor and/or doing proper actions in the executive based on BER and the internal reward. A simplified CDS was implemented for nonlinear fiber optic systems based on orthogonal frequency division multiplexing (OFDM) to show how the proposed CDS can bring a noticeable improvement in system performance. As a result, enhancement of the data rate by 12.5% was achieved in comparison to the conventional system.

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