THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO OPTICAL COMMUNICATION SYSTEMS

The rapid development of Artificial Intelligence (AI) technologies is significantly impacting modern telecommunication systems. In particular, optical communication systems represent one of the most advanced technologies for transmitting high-speed and high-volume data. This article analyzes the application, potential capabilities, and practical results of integrating artificial intelligence into optical communication systems. The study first examines the key components of optical communication systems, their technological advantages, and areas of application. It then introduces the fundamental AI technologies such as machine learning, deep learning, and neural networks. These technologies can be effectively utilized in critical processes within optical networks, including signal quality monitoring, network traffic prediction, automatic configuration, fault detection, and routing.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-20
DOI
https://doi.org/10.5281/zenodo.15485168
Primary Topic
History, Medicine, and Leadership
Type
article
Field-Weighted Citation Impact
0.00
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article

THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO OPTICAL COMMUNICATION SYSTEMS

Zenodo (CERN European Organization for Nuclear Research)
History, Medicine, and Leadership
article

THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO OPTICAL COMMUNICATION SYSTEMS

article en

Abstract

The rapid development of Artificial Intelligence (AI) technologies is significantly impacting modern telecommunication systems. In particular, optical communication systems represent one of the most advanced technologies for transmitting high-speed and high-volume data. This article analyzes the application, potential capabilities, and practical results of integrating artificial intelligence into optical communication systems. The study first examines the key components of optical communication systems, their technological advantages, and areas of application. It then introduces the fundamental AI technologies such as machine learning, deep learning, and neural networks. These technologies can be effectively utilized in critical processes within optical networks, including signal quality monitoring, network traffic prediction, automatic configuration, fault detection, and routing.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
History, Medicine, and Leadership
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