LEARNING-BASED SERVICE MIGRATION IN MOBILE EDGE COMPUTING

    公开(公告)号:US20210406696A1

    公开(公告)日:2021-12-30

    申请号:US17474191

    申请日:2021-09-14

    Abstract: Learning-based service migration in mobile edge computing may be provided. First, a service migration policy may be created for a network that includes a plurality of edge clouds configured to provide a service to users. Next, a movement of a user receiving the service from a source edge cloud may be detected. The source edge cloud may be associated with a first area and the detected movement may be from the first area to a second area. Then, the service migration policy may be applied to determine whether to migrate the service for the user from the source edge cloud. In response to determining to migrate the service, a target edge cloud may be identified and the service for the user may be migrated from the source edge cloud to the target edge cloud. The service migration policy may then be updated based on a success of the migration.

    Distortion cancellation
    7.
    发明授权

    公开(公告)号:US10693512B1

    公开(公告)日:2020-06-23

    申请号:US16457588

    申请日:2019-06-28

    Abstract: The present disclosure provides for distortion cancelled by receiving a collided signal comprising first and second signals carrying respective first and second packets; digitizing the collided signal into a first digital signal and decoding the first packet therefrom; calculating a digital linear interference component of the first packet on the second from an estimated signal re-encoding the decoded first packet; synthesizing an analog linear interference component from the digital linear interference component; determining a digital nonlinear interference component of the first packet on the second from the first digital signal; amplifying the collided signal to produce a second amplified signal; removing the analog linear interference component from the second amplified signal to produce a partially de-interfered signal; removing the digital nonlinear interference component from the partially de-interfered signal to produce a de-interfered signal; and decoding the second packet from the de-interfered signal.

    PARTIAL PHASE VECTORS AS NETWORK SENSORS
    8.
    发明申请

    公开(公告)号:US20200158810A1

    公开(公告)日:2020-05-21

    申请号:US16356662

    申请日:2019-03-18

    Abstract: Systems and methods provide for improving the accuracy of a location system. The location system can capture partial phase vector data from one or more access points (APs). The location system can capture associated data associated with the partial phase vector data across multiple dimensions, such as identity data of the APs and client devices generating the partial phase vector data and frequency band data, location data, a time and date, and other data associated with the partial phase vector data. The location system can determine correlation data across the multiple dimensions using the first partial phase vector data and the associated data. The location system can a cause of the partial phase vector data based on the correlation data. The location system can perform one or more remediation actions based on the cause of the partial phase vector data.

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