Cognitive sensor fusion management
    271.
    发明授权

    公开(公告)号:US12118444B2

    公开(公告)日:2024-10-15

    申请号:US18453849

    申请日:2023-08-22

    CPC classification number: G06N20/00 H04Q9/00 H04Q2209/10

    Abstract: Systems, methods, and computer-readable for cognitive sensor fusion management include obtaining one or more data streams from one or more sensors. Learning algorithms are used for determining whether a combination of the one or more data streams includes sufficient information for achieving a desired outcome, based on context, business verticals, or other considerations. One or more modifications are determined to at least the one or more data streams or one or more sensors based on whether the combination of the one or more data streams includes sufficient information for achieving the desired outcome. In a closed-loop system, feedback from implementing the one or more modifications can be used to update the desired outcome.

    MINIMIZING NETWORK DISRUPTION VIA GRACEFUL UPGRADE OF ROUTING CONTROLLERS

    公开(公告)号:US20240340347A1

    公开(公告)日:2024-10-10

    申请号:US18349778

    申请日:2023-07-10

    CPC classification number: H04L67/141 H04L41/0803

    Abstract: Disclosed herein are systems, methods, and computer-readable media for upgrading vSmart controllers. In one aspect, a method includes an edge router receiving a notification from a vSmart controller that an upgrade to the controller will occur. The notification can be dynamically triggered by a centralized network management system. In some embodiments, the vSmart controller can run as a virtual machine (VM) and maintains a control plane connection with one or more edge routers in an overlay network. In response to the notification, a length of time of an expiry timer in which the edge router attempts to connect to the vSmart controller can be increased, and the edge router can connect to the vSmart controller once the increased length of time has passed.

    MACHINE LEARNING-BASED ANALYSIS OF NETWORK DEVICES UTILIZATION AND FORECASTING

    公开(公告)号:US20240340225A1

    公开(公告)日:2024-10-10

    申请号:US18296058

    申请日:2023-04-05

    CPC classification number: H04L41/16 G06N20/00

    Abstract: In one aspect, a method of utilization analysis of network devices include receiving a set of information associated with performance of the network devices operating in a network, processing using a trained machine learning model the set of information to identify one or more variables indicative of performance of the network devices, the machine learning model being trained to receive as input the set of device utilization information, identify the one or more variables, and provide as output an analysis of the performance of one or more of the network devices, and generating a user interface to display on a user device a visual representation of the output of the trained machine learning model.

    PER SUBSCRIBER INTER PLMN HANDOVER RESTRICTION IN 5G NETWORKS

    公开(公告)号:US20240334286A1

    公开(公告)日:2024-10-03

    申请号:US18193104

    申请日:2023-03-30

    Inventor: Jis Abraham

    CPC classification number: H04W36/18 H04W36/0033 H04W36/14 H04W84/042

    Abstract: A method comprises: at source network functions of a source public land mobile network (PLMN) (source PLMN): executing an attach procedure by which user equipment attaches to the source PLMN and establishes a data session with a data network; upon detecting a roam of the user equipment from the source PLMN to a target PLMN, accessing an inter-PLMN handover indicator that indicates whether a seamless inter-PLMN handover is allowed or is not allowed for the data network; and selectively performing the seamless inter-PLMN handover of the data session from the source PLMN to the target PLMN as directed by the inter-PLMN handover indicator.

    MULTIPLE ACCESS POINT WIFI SOUNDING
    279.
    发明公开

    公开(公告)号:US20240334225A1

    公开(公告)日:2024-10-03

    申请号:US18194614

    申请日:2023-03-31

    CPC classification number: H04W24/10 H04B7/0456 H04L5/005 H04W48/16

    Abstract: Techniques for sounding for wireless communication are disclosed. These techniques include initiating staggered sounding between a plurality of wireless access points (APs) and a plurality of wireless stations (STAs), including transmitting, from each AP of the plurality of APs, a sounding trigger to a respective one or more of the plurality of STAs, where the sounding triggers are transmitted by the respective APs at staggered times. The techniques further include receiving sounding matrix data at the plurality of APs from the plurality of STA. The techniques further include modifying wireless transmission between at least one of the APs and at least one of the STAs based on the sounding matrix data.

    CHAINED GREEN METADATA
    280.
    发明公开

    公开(公告)号:US20240333633A1

    公开(公告)日:2024-10-03

    申请号:US18194037

    申请日:2023-03-31

    CPC classification number: H04L45/302 H04L67/63

    Abstract: Network energy efficiency and green power selection may be optimized by employing graph-oriented service chains configured to share sustainability attributes and metadata augmentation. More specifically, network Service Function Chain (SFC) creation can include a set of power and energy-specific and sustainable attributes. In general, the goal of SFC is to enable the creation of a service path that matches the specific needs of an application or service. SFCs are composed of a sequence of network functions, such as firewalls, load balancers, intrusion detection systems, and other services. Each network function performs a specific task on the network traffic, and the packets are passed from one function to the next until they reach their destination. Overall, SFCs are a powerful tool for managing complex network environments, enabling network administrators to deploy and manage network services more efficiently and effectively.

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