Nonlinearities Estimation in Optical Fiber Communication: Current Progress, Challenges and Perspectives
This review paper gives a comprehensive review of nonlinearities and recent advances in nonlinearities estimation in optical fiber transmission systems. The most frequent irregularities in optical communication systems are Four-Wave Mixing (FWM), Self-Phase Modulation (SPM), and Cross-Phase Modulat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sir Syed University of Engineering and Technology, Karachi.
2024-12-01
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| Series: | Sir Syed University Research Journal of Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/634 |
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| Summary: | This review paper gives a comprehensive review of nonlinearities and recent advances in nonlinearities estimation in optical fiber transmission systems. The most frequent irregularities in optical communication systems are Four-Wave Mixing (FWM), Self-Phase Modulation (SPM), and Cross-Phase Modulation (XPM). These nonlinearities have a significant impact on optical performance (i.e., bit error rate, optical signal-to-noise-ratio, Q-factor) and capacity by limiting the data rates. Accurately estimating these nonlinearities is crucial for designing robust, high-capacity fiber optic networks. This paper discusses nonlinearities estimation using experimental methods and highlights recent advances in nonlinearities estimation using machine and deep learning-based approaches. Traditional experimental methods for estimating nonlinearity in optical fiber communication are limited by their complexity, high sensitivity requirements, high costs, accuracy issues. and limited real-world applicability. The paper concludes with an outlook on future research directions in nonlinearities estimation to enable the development of next-generation optical communication systems.
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| ISSN: | 1997-0641 2415-2048 |