Explainable Machine Learning Models and Architectures

8Applications of Artificial Neural Networks in Optical Performance Monitoring

Isra Imtiyaz¹, Anuranjana¹*, Sanmukh Kaur² and Anubhav Gautam²

¹Department of Information Technology, ASET, Amity University Uttar Pradesh, Noida, India

²Department of Electronics & Communication Engineering, ASET, Amity University Uttar Pradesh, Noida, India

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.

Keywords: ANN, optical performance monitoring, LSTM, optical impaitments

8.1 Introduction

Optical communication is long-distance communication that uses light to transport information. It can be done visually or using electronic instruments. Optical wireless communication (OWC) is a type of optical communication wherein unguided infrared (IR), visible, or ultraviolet (UV) light is used to transmit a signal. It is mostly used for short-distance communication. Visible light communication (VLC) has been recognised as a possible ...