Invention Grant
- Patent Title: Machine learning-based approach to network planning using observed patterns
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Application No.: US17130688Application Date: 2020-12-22
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Publication No.: US11564113B2Publication Date: 2023-01-24
- Inventor: Santosh Ghanshyam Pandey , Jean-Philippe Vasseur , Vinay Kumar Kolar
- 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 LLC
- Agent James M. Behmke; Jonathon P. Western
- Main IPC: H04W24/04
- IPC: H04W24/04 ; H04W36/08 ; G06N3/08 ; H04L41/16 ; H04L41/142 ; H04W24/02 ; H04L41/14 ; H04W36/16 ; H04W36/38 ; H04L41/147 ; H04W24/08

Abstract:
In one embodiment, a network assurance service that monitors a wireless network identifies a set of wireless network anomalies detected in the wireless network that are associated with a set of one or more network measurements. The network assurance service classifies the set of wireless anomalies as radio-related or backend-related. The network assurance service, when the set of wireless anomalies are classified as radio-related, determines that the wireless anomalies are recurring for a particular wireless access point in the network. The network assurance service initiates a change to the wireless network in part to move clients in the wireless network from the particular wireless access point to another wireless access point in the network.
Public/Granted literature
- US20210120438A1 MACHINE LEARNING-BASED APPROACH TO NETWORK PLANNING USING OBSERVED PATTERNS Public/Granted day:2021-04-22
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