Machine Learning and Proactive Network Maintenance: Transforming Today’s Plant Operations
Published in Fall Technical Forum: SCTE, NCTA, CableLabs, 2021
Recommended citation: Berkan Ottlik, Brady Volpe. (2021). "Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations" 2021 Fall Technical Forum: SCTE, NCTA, CableLabs. https://www.nctatechnicalpapers.com/Paper/2021/2021-machine-learning-and-proactive-network-maintenance-transforming-today-s-plant-operations/
This paper will discuss the type of RF impairments observable by PNM. Next it will discuss how machine learning is used to analyze impairments using an unsupervised model. Then it will look at how machine learning is combined with CableLab’s spectral impairment detector (SID) to substantially improve on SID’s impairment classifiers. Finally, the paper will look at how the author is using gamification to use feedback from end users to migrate to a supervised learning model.