Invention Grant
- Patent Title: System and method for access point selection and scoring based on machine learning
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Application No.: US15497326Application Date: 2017-04-26
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Publication No.: US10334463B2Publication Date: 2019-06-25
- Inventor: Kyriaki Konstantinou , Ye Ouyang
- Applicant: Verizon Patent and Licensing Inc.
- Applicant Address: US NJ Basking Ridge
- Assignee: Verizon Patent and Licensing Inc.
- Current Assignee: Verizon Patent and Licensing Inc.
- Current Assignee Address: US NJ Basking Ridge
- Main IPC: H04W48/20
- IPC: H04W48/20 ; H04W24/08 ; H04W60/00 ; H04W24/02
Abstract:
A device may receive information that identifies a first set of parameter values associated with a first set of access points. The first set of access points may be associated with a set of known access point quality scores. The device may generate a model based on the set of known access point quality scores and the first set of parameter values. The device may receive information that identifies a second set of parameter values associated with a second set of access points. The device may determine a set of access point quality scores, for the second set of access points, based on the second set of parameter values and the model. The device may provide information to permit an action to be performed in association with the second set of access points.
Public/Granted literature
- US20180317106A1 SYSTEM AND METHOD FOR ACCESS POINT SELECTION AND SCORING BASED ON MACHINE LEARNING Public/Granted day:2018-11-01
Information query
