发明授权
- 专利标题: Machine learning assisted anomaly detection on a millimeter-wave communications network
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申请号: US15900498申请日: 2018-02-20
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公开(公告)号: US11075929B1公开(公告)日: 2021-07-27
- 发明人: Ying Li , Fan Sun , Guan Pang
- 申请人: Facebook, Inc.
- 申请人地址: US CA Menlo Park
- 专利权人: Facebook, Inc.
- 当前专利权人: Facebook, Inc.
- 当前专利权人地址: US CA Menlo Park
- 代理机构: Artegis Law Group, LLP
- 主分类号: H04L29/06
- IPC分类号: H04L29/06 ; G06K9/00 ; H04W76/10 ; H04W92/20 ; H04W84/04 ; G06N20/00
摘要:
In one embodiment, a method includes accessing time series data of a wireless communication link between a first node and a second node on a millimeter-wave communications network; determining that an anomaly exists in the time series data; determining an anomaly type for the anomaly by inputting one or more features derived from the time series data into a machine learning module; generating a report comprising an indication that the anomaly exists and a description of the anomaly type, and determining one or more treatments for the determined anomaly.
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