2022
DOI: 10.1016/j.optcom.2022.127933
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Optical performance monitoring via domain adversarial adaptation in few-mode fiber

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Cited by 8 publications
(2 citation statements)
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“…Analyzing a network's performance is essential to determining how effective it is. Performance measurement addresses issues with existing communication systems by providing a metric to assess the network's quality of service [22].…”
Section: Results and Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Analyzing a network's performance is essential to determining how effective it is. Performance measurement addresses issues with existing communication systems by providing a metric to assess the network's quality of service [22].…”
Section: Results and Analysismentioning
confidence: 99%
“…presented an innovative study on optical performance monitoring in few-mode fibers, utilizing domain adversarial adaptation. This approach leverages advanced machine learning techniques to dynamically monitor and adjust optical signals, showcasing the potential of AI in enhancing the reliability and efficiency of optical networks [22]. conducted a thorough survey on millimeter-wave frequency radio over fiber (RoF) systems, summarizing the technological advancements, applications, and future directions.…”
mentioning
confidence: 99%