Applications of Artificial Neural Networks in Optical Performance Monitoring

Abstract

The calculation and collection of numerous physical properties of transmitted signals and different optical network components is known as optical performance monitoring (OPM). Interest in OPM has increased as a result of advancements in optical networking, particularly with regard to signal quality metrics including optical signal-to-noise ratio (SNR), Q-factor, and dispersion. This paper reviews OPM algorithms and their advantages and disadvantages. It also reviews artificial intelligence (AI) methods in optical networks, and applications of AI in optical networking, optical impairments, and component faults.