GRAPH BASED ANOMALY DETECTION IN CELLULAR NETWORKS

    公开(公告)号:US20240348507A1

    公开(公告)日:2024-10-17

    申请号:US18544201

    申请日:2023-12-18

    CPC classification number: H04L41/142

    Abstract: A method includes generating multiple embedded features representing operational data of network elements in a wireless communication network. The method also includes generating a relationship graph based on the embedded features, the relationship graph representing behavior of the network elements in the wireless communication network. The method also includes detecting one or more anomalies in the wireless communication network using the relationship graph, the one or more anomalies identifying one or more deviations of one or more of the network elements from an expected behavior of the one or more network elements. The method also includes generating network analytics based on the one or more detected anomalies.

    INTELLIGENT PROXIMITY SYSTEM
    2.
    发明申请

    公开(公告)号:US20250071508A1

    公开(公告)日:2025-02-27

    申请号:US18614620

    申请日:2024-03-22

    Abstract: An electronic device includes a transceiver configured to receive information related to an action request or rule. The electronic device further includes a processor operatively coupled to the transceiver. The processor is configured to determine that the action is location based, and identify a zone within which the electronic device is located. The identification of the zone is based on at least one of a first reception by the transceiver of at least one signal indicative of a location of the electronic device, and a second reception by the transceiver of at least one response to a transmission of a signal indicative of a location of the electronic device. The processor is further configured to trigger an action based on the action request or rule and the identified zone.

    Methods for gesture recognition and control

    公开(公告)号:US11442550B2

    公开(公告)日:2022-09-13

    申请号:US16847468

    申请日:2020-04-13

    Abstract: An electronic device and a method for gesture recognition are disclosed. The electronic device includes a radar transceiver and a processor operably connected to the radar transceiver. The processor is configured to detect a triggering event. In response to detecting the triggering event, the processor is configured to transmit, via the radar transceiver, radar signals. The processor is also configured to identify a gesture from reflections of the radar signals received by the radar transceiver. The processor is further configured to determine whether the gesture is associated with the triggering event. Based on determining that the gesture is associated with the triggering event, the processor is configured to perform an action indicated by the gesture.

    SYSTEM AND METHOD FOR ARTIFICIAL INTELLIGENCE (AI) DRIVEN VOICE OVER LONG-TERM EVOLUTION (VoLTE) ANALYTICS

    公开(公告)号:US20220210682A1

    公开(公告)日:2022-06-30

    申请号:US17547002

    申请日:2021-12-09

    Abstract: A network management apparatus of a wireless network includes a network interface, a processor, and a memory. The memory contains instructions, which when executed by the processor, cause the apparatus to receive, via the network interface, first data comprising values of key performance indicators (KPIs) obtained from elements of the wireless network for a first time period, receive, via the network interface, second data comprising values of key quality indicators (KQIs) for the first time period, wherein the KQIs comprise metrics of end-user quality of service (QoS) of the wireless network, and perform supervised learning to train an artificial intelligence (AI) model based on the first and second data, wherein features of the AI model are based on KPIs available from elements of the wireless network, and outputs of the AI model comprise values of one or more KQIs.

    METHOD AND APPARATUS FOR RELATIONSHIP INFORMATION BASED TRAFFIC PREDICTION

    公开(公告)号:US20250008403A1

    公开(公告)日:2025-01-02

    申请号:US18345549

    申请日:2023-06-30

    Abstract: A method includes generating relationship information representing spatial relationships between network elements in a wireless communication network. The method also includes dividing the relationship information into multiple communities of network elements, wherein network elements within each community have a higher correlation than network elements in different communities. The method also includes identifying, for a target network element, one or more community level key network elements and one or more local key network elements in the relationship information. The method also includes predicting traffic at the target network element using a temporal-spatial algorithm, wherein the temporal-spatial algorithm predicts the traffic based on temporal features derived from historical data and spatial features derived from the one or more community level key network elements and the one or more local key network elements.

    METHODS FOR GESTURE RECOGNITION AND CONTROL

    公开(公告)号:US20220404914A1

    公开(公告)日:2022-12-22

    申请号:US17821732

    申请日:2022-08-23

    Abstract: An electronic device and a method for gesture recognition are disclosed. The electronic device includes a radar transceiver and a processor operably connected to the radar transceiver. The processor is configured to detect a triggering event. In response to detecting the triggering event, the processor is configured to transmit, via the radar transceiver, radar signals. The processor is also configured to identify a gesture from reflections of the radar signals received by the radar transceiver. The processor is further configured to determine whether the gesture is associated with the triggering event. Based on determining that the gesture is associated with the triggering event, the processor is configured to perform an action indicated by the gesture.

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