Study on Optical Performance Monitoring for Fiber-Optical Link Utilizing Chaos Theory

Optical-link performance monitoring (OLPM) plays a crucial role in ensuring the link performance, the channel assignment and the network reconfiguration in the high-speed and WDM optical networks. An OLPM scheme based on the chaos theory and the pattern recognition is proposed in this paper. The identification results of nonlinear regimes of 4/8/16-channel WDM links with 10 Gb/s are demonstrated through utilizing the maximum Lyapunov exponent, the recurrence plot and the two-layer perceptron.

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Optical Link Performance Monitoring using Extended Link Management Protocol for Transparent Optical Networks

Optical Fiber Communication Conference and National Fiber Optic Engineers Conference ◽

10.1364/ofc.2009.otua7 ◽

2009 ◽

Cited By ~ 1

Author(s):

Jun Haeng Lee ◽

Noboru Yoshikane ◽

Takehiro Tsuritani ◽

Tomohiro Otani

Keyword(s):

Optical Networks ◽

Performance Monitoring ◽

Optical Link ◽

Transparent Optical Networks ◽

Link Performance ◽

Management Protocol

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Optical performance monitoring in reconfigurable WDM optical networks using subcarrier multiplexing

Journal of Lightwave Technology ◽

10.1109/50.908673 ◽

2000 ◽

Vol 18 (12) ◽

pp. 1639-1648 ◽

Cited By ~ 65

Author(s):

G. Rossi ◽

T.E. Dimmick ◽

D.J. Blumenthal

Keyword(s):

Optical Networks ◽

Performance Monitoring ◽

Wdm Optical Networks ◽

Optical Performance ◽

Optical Performance Monitoring ◽

Subcarrier Multiplexing

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AI-Based Modeling and Monitoring Techniques for Future Intelligent Elastic Optical Networks

Applied Sciences ◽

10.3390/app10010363 ◽

2020 ◽

Vol 10 (1) ◽

pp. 363 ◽

Cited By ~ 4

Author(s):

Xiaomin Liu ◽

Huazhi Lun ◽

Mengfan Fu ◽

Yunyun Fan ◽

Lilin Yi ◽

...

Keyword(s):

Optical Networks ◽

Performance Monitoring ◽

Recent Progress ◽

Optical Network ◽

Data Driven ◽

High Definition ◽

Optical Performance Monitoring ◽

Monitoring Tools ◽

Quality Of Transmission

With the development of 5G technology, high definition video and internet of things, the capacity demand for optical networks has been increasing dramatically. To fulfill the capacity demand, low-margin optical network is attracting attentions. Therefore, planning tools with higher accuracy are needed and accurate models for quality of transmission (QoT) and impairments are the key elements to achieve this. Moreover, since the margin is low, maintaining the reliability of the optical network is also essential and optical performance monitoring (OPM) is desired. With OPM, controllers can adapt the configuration of the physical layer and detect anomalies. However, considering the heterogeneity of the modern optical network, it is difficult to build such accurate modeling and monitoring tools using traditional analytical methods. Fortunately, data-driven artificial intelligence (AI) provides a promising path. In this paper, we firstly discuss the requirements for adopting AI approaches in optical networks. Then, we review various recent progress of AI-based QoT/impairments modeling and monitoring schemes. We categorize these proposed methods by their functions and summarize advantages and challenges of adopting AI methods for these tasks. We discuss the problems remained for deploying AI-based methods to a practical system and present some possible directions for future investigation.

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