VIRTUAL NETWORK ASSISTANT HAVING PROACTIVE ANALYTICS AND CORRELATION ENGINE USING UNSUPERVISED ML MODEL

    公开(公告)号:US20230362075A1

    公开(公告)日:2023-11-09

    申请号:US18224789

    申请日:2023-07-21

    Inventor: Ebrahim Safavi

    CPC classification number: H04L43/04 G06N20/00 H04L41/147

    Abstract: Techniques are described in which a network management system processes network event data received from the AP devices. The NMS is configured to dynamically determine, in real-time, a minimum (MIN) threshold and a maximum (MAX) threshold for expected occurrences for each event type, wherein the MIN thresholds and MAX thresholds define ranges of expected occurrences for the network events of the corresponding event types. The NMS applies an unsupervised machine learning model to the network event data to determine predicted counts of occurrences of the network events for each of the event types and identify, based on the predicted counts of occurrences and the dynamically-determined minimum threshold values and maximum threshold values for each event type, one or more of the network events as indicative of abnormal network behavior.

    Virtual network assistant having proactive analytics and correlation engine using unsupervised ML model

    公开(公告)号:US11743151B2

    公开(公告)日:2023-08-29

    申请号:US17303222

    申请日:2021-05-24

    Inventor: Ebrahim Safavi

    CPC classification number: H04L43/04 G06N20/00 H04L41/147

    Abstract: Techniques are described in which a network management system processes network event data received from the AP devices. The NMS is configured to dynamically determine, in real-time, a minimum (MIN) threshold and a maximum (MAX) threshold for expected occurrences for each event type, wherein the MIN thresholds and MAX thresholds define ranges of expected occurrences for the network events of the corresponding event types. The NMS applies an unsupervised machine learning model to the network event data to determine predicted counts of occurrences of the network events for each of the event types and identify, based on the predicted counts of occurrences and the dynamically-determined minimum threshold values and maximum threshold values for each event type, one or more of the network events as indicative of abnormal network behavior.

    METHODS AND APPARATUS FOR FACILITATING FAULT DETECTION AND/OR PREDICTIVE FAULT DETECTION

    公开(公告)号:US20230254256A1

    公开(公告)日:2023-08-10

    申请号:US18300918

    申请日:2023-04-14

    Inventor: Ebrahim Safavi

    CPC classification number: H04L47/2441 G06N20/00 H04W24/02

    Abstract: Methods and apparatus for automatically identifying and correcting faults relating to poor communications service in a wireless system, e.g., in real time, are described. The methods are well suited for use in a system with a variety of access points, e.g., wireless and/or wired access points, which can be used to obtain access to the Internet or another network. Access points (APs), which have been configured to monitor in accordance with received monitoring configuration information, e.g. on a per access point interface basis, captures messages, store captured messages, and in collaboration with network monitoring apparatus which can be in an AP or external thereto, use message sequences to determine a remedial action to be automatically taken when poor service is likely as may be predicted based on the detected message sequence between a UE and one or more APs.

    Methods and apparatus for facilitating fault detection and/or predictive fault detection

    公开(公告)号:US11671376B2

    公开(公告)日:2023-06-06

    申请号:US17809770

    申请日:2022-06-29

    Inventor: Ebrahim Safavi

    CPC classification number: H04L47/2441 G06N20/00 H04W24/02

    Abstract: Methods and apparatus for automatically identifying and correcting faults relating to poor communications service in a wireless system, e.g., in real time, are described. The methods are well suited for use in a system with a variety of access points, e.g., wireless and/or wired access points, which can be used to obtain access to the Internet or another network. Access points (APs), which have been configured to monitor in accordance with received monitoring configuration information, e.g. on a per access point interface basis, captures messages, store captured messages, and in collaboration with network monitoring apparatus which can be in an AP or external thereto, use message sequences to determine a remedial action to be automatically taken when poor service is likely as may be predicted based on the detected message sequence between a UE and one or more APs.

    METHODS AND APPARATUS FOR FACILITATING FAULT DETECTION AND/OR PREDICTIVE FAULT DETECTION

    公开(公告)号:US20220329533A1

    公开(公告)日:2022-10-13

    申请号:US17809770

    申请日:2022-06-29

    Inventor: Ebrahim Safavi

    Abstract: Methods and apparatus for automatically identifying and correcting faults relating to poor communications service in a wireless system, e.g., in real time, are described. The methods are well suited for use in a system with a variety of access points, e.g., wireless and/or wired access points, which can be used to obtain access to the Internet or another network. Access points (APs), which have been configured to monitor in accordance with received monitoring configuration information, e.g. on a per access point interface basis, captures messages, store captured messages, and in collaboration with network monitoring apparatus which can be in an AP or external thereto, use message sequences to determine a remedial action to be automatically taken when poor service is likely as may be predicted based on the detected message sequence between a UE and one or more APs.

Patent Agency Ranking