AI/ML Assisted Roaming For Wi-Fi Networks

    公开(公告)号:US20240381066A1

    公开(公告)日:2024-11-14

    申请号:US18451556

    申请日:2023-08-17

    Abstract: Described herein are devices, systems, methods, and processes for managing roaming actions in a wireless network. The embodiments utilize a machine learning model to generate roaming recommendations based on a plurality of roaming-related metrics. The metrics include data about the current network conditions, the station's previous roaming experiences, and the capabilities of potential roaming target candidates. The roaming recommendations can be provided to a station by an access point (AP). The station can then attempt to perform a roaming action based on the recommendations. After the attempt, the station transmits a roaming feedback to the AP, which includes data about the success or failure of the roaming action and any additional relevant data. In case the station rejects the roaming recommendations, the station may also provide a feedback indicating the rejection. The feedback is utilized to update the machine learning model, thereby improving the accuracy of future roaming recommendations.

    Dynamic Wifi Transmit Power Reduction to Conserve Device Power in a Mixed 5G/Wifi Service Area

    公开(公告)号:US20250031142A1

    公开(公告)日:2025-01-23

    申请号:US18356736

    申请日:2023-07-21

    Abstract: In one embodiment, a method can receive transmission metadata associated with a plurality of devices within an Internet of Things (IoT) network. The method can use a transmission sensing component (TSC) to measure transmission energy cost for each of the plurality of devices over a time period using the transmission metadata. The method can use a central compute engine (CCE) and the transmission energy cost for each of the plurality of devices to determine a plurality of transmission features associated with the plurality of devices having a transmission energy cost that is minimized. The method can use a transmission scheduling engine (TSE) and the plurality of transmission features to generate a transmission mode schedule to reduce a transmission energy cost for the plurality of devices within the IoT network. The method can adjust a transmission mode associated with the plurality of devices based on the transmission mode schedule.

    Optimizing Roaming to Mitigate Sticky Clients Via Machine Learning

    公开(公告)号:US20240381067A1

    公开(公告)日:2024-11-14

    申请号:US18465440

    申请日:2023-09-12

    Abstract: Devices, systems, methods, and processes for tackling the problem of sticky clients in wireless networks using machine learning processes are described herein. Thresholds related to data rates and/or Received Signal Strength Indicators (RSSI), for Access Points (APs) in a network are identified. These thresholds are configured to dynamically adjust, either based on the time of day or real-time roaming patterns, with the aim of mitigating sticky clients and enhancing overall network performance. Advanced machine learning techniques such as Graph Neural Networks are implemented within the domain of deep learning to significantly alleviate sticky client concerns and promote seamless connectivity for all users.

    USING 802.11V ACTION REPORT MESSAGES TO ENHANCE ROAMING

    公开(公告)号:US20240381073A1

    公开(公告)日:2024-11-14

    申请号:US18362327

    申请日:2023-07-31

    Abstract: A system and method for using 802.11v action report messages to enhance roaming. In one embodiment, a method includes transmitting, to a station, a transition management message that identifies a recommended access point for roaming for the station, receiving, from the station, an action report in response to the transition management message, where the action report indicates feedback to the recommended access point identified in the transition management message, and determining a roaming recommendation based on the action report.

    REALTIME TELEMETRY QUALITY TRACKING AND PROFILING TO PREVENT ERRONEOUS RADIO RESOURCES MANAGEMENT (RRM) COMPUTATION

    公开(公告)号:US20240373264A1

    公开(公告)日:2024-11-07

    申请号:US18310592

    申请日:2023-05-02

    Abstract: A system and method are provided for tracking the quality of telemetry data in a wireless network, and to provide profiling of the telemetry to prevent erroneous radio resource management (RRM) computations. Statistical profiles are generated from the telemetry data that includes both computation data, which is used in RRM computations, and other network data. A data-quality score is generated based on the other data and statistical profiles of the computation data. The data-quality score represents whether the telemetry data is of sufficient quality to be used in RRM computations. The data-quality score can be based, at least in part, on detecting changes in the statistical profiles relative to a baseline statistical profile of the telemetry data and using the second network data to assess a likelihood that the detected changes arise from a degradation in a quality of the first network data.

    CELL EDGE PREDICTOR FOR OPTIMIZED ROAMING
    7.
    发明公开

    公开(公告)号:US20240314578A1

    公开(公告)日:2024-09-19

    申请号:US18603956

    申请日:2024-03-13

    CPC classification number: H04W16/18 H04W48/16

    Abstract: Cell edge prediction for optimized roaming may be provided. Cell edge prediction can include predicting cell edges for a plurality of APs including a connected AP and one or more additional APs. A cell edge prediction can be for a client connected to the connected AP. The cell edge prediction may comprise an indication of one or more candidate APs for the client to roam to of the one or more additional APs and an estimated time the client will reach the cell edge of the connected AP. After generating the cell edge prediction, the cell edge prediction can be transmitted to the client.

    DIRECTIONAL NEIGHBOR REPORTS FOR ROAMING OPTIMIZATION

    公开(公告)号:US20240306054A1

    公开(公告)日:2024-09-12

    申请号:US18600414

    申请日:2024-03-08

    CPC classification number: H04W36/00835 H04W16/18

    Abstract: Roaming optimization, and particularly transmitting directional neighbor reports to optimize roaming may be provided. For roaming optimization, it is first determined that a client is going to roam to a new Access Point (AP). In response to determining the client is going to roam to a new AP, an estimated path of the client is determined. One or more candidate APs are determined based at least in part on the estimated path, and probabilities of roaming to the one or more candidate APs is determined based at least in part on the estimated path. A directional neighbor report including a list of the one or more candidate APs and the probabilities is generated and transmitted to the client.

Patent Agency Ranking