Invention Grant
- Patent Title: Predicting and forecasting roaming issues in a wireless network
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Application No.: US15880992Application Date: 2018-01-26
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Publication No.: US10735274B2Publication Date: 2020-08-04
- Inventor: Sharon Shoshana Wulff , Grégory Mermoud , Jean-Philippe Vasseur
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Behmke Innovation Group LLP
- Agent Kenneth J. Heywood; James J. Wong
- Main IPC: H04L12/24
- IPC: H04L12/24 ; H04W48/20 ; H04W24/02 ; H04W24/08 ; H04W24/10 ; H04W88/08 ; H04W88/18

Abstract:
In one embodiment, a network assurance service applies labels to feature vectors of network characteristics associated with a plurality of wireless access points in the network. An applied label for a feature vector indicates whether the access point associated with the feature vector experienced a threshold number of onboarding delays within a given time window. The service, based on the feature vectors and labels, trains a plurality of machine learning-based classifiers to predict onboarding delays, and uses one or more of the trained plurality of classifiers to predict onboarding delays for a particular access point. The service calculates one or more classifier performance metrics for the one or more classifiers based on the predicted onboarding delays for the particular access point. The service selects a particular one of the classifiers to monitor the network characteristics associated with the particular access point, based on the one or more classifier performance metrics.
Public/Granted literature
- US20190239158A1 PREDICTING AND FORECASTING ROAMING ISSUES IN A WIRELESS NETWORK Public/Granted day:2019-08-01
Information query