Applications of Artificial Neural Networks in Optical Performance Monitoring
Isra ImtiyazDepartment of Information Technology, ASET, Amity University Uttar Pradesh, Noida, IndiaAnuranjanaDepartment of Information Technology, ASET, Amity University Uttar Pradesh, Noida, IndiaSanmukh KaurDepartment of Electronics & Communication Engineering, ASET, Amity University Uttar Pradesh, Noida, IndiaAnubhav GautamDepartment of Electronics & Communication Engineering, ASET, Amity University Uttar Pradesh, Noida, India
2023en
ABI
Аннотация
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.
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