Presenting Information Based on User Profiles
    21.
    发明申请
    Presenting Information Based on User Profiles 有权
    基于用户配置文件提供信息

    公开(公告)号:US20140188873A1

    公开(公告)日:2014-07-03

    申请号:US13731786

    申请日:2012-12-31

    Abstract: A server may be configured to receive behavior information associated with a user device. The behavior information may indicate a set of geographical locations at which the user device has been present. The server may generate a mode based on the behavior information. The mode may indicate a set of conditions based on which the mode is to be activated, and a set of information to be presented when the mode is activated. The server may output the mode to the user device. The user device may determine, after receiving the mode, that the set of conditions has been satisfied. The determining may be based on a geographical location of the user device. The user device may activate the mode, based on determining that the set of conditions has been satisfied; and may present at least a portion of the set of information, based on activating the mode.

    Abstract translation: 服务器可以被配置为接收与用户设备相关联的行为信息。 行为信息可以指示用户设备已经存在的一组地理位置。 服务器可以基于行为信息生成模式。 该模式可以指示基于该模式被激活的一组条件,以及当该模式被激活时要呈现的一组信息。 服务器可以将模式输出到用户设备。 用户设备可以在接收到该模式之后确定已经满足一组条件。 确定可以基于用户设备的地理位置。 用户设备可以基于确定已经满足一组条件来激活该模式; 并且可以基于激活该模式来呈现该组信息的至少一部分。

    Over-the-air firmware updates for dual-mode internet of things devices

    公开(公告)号:US12067390B2

    公开(公告)日:2024-08-20

    申请号:US16459735

    申请日:2019-07-02

    CPC classification number: G06F8/656 H04L65/80 H04L67/02 H04L67/06

    Abstract: A system may receive a request to perform a firmware update on an Internet of Things (IoT) device and determine whether the IoT device is capable of switching from a first mode to a second mode. The IoT device sends and receives data via first channels when the IoT device is operating in the first mode and the IoT device sends and receives data via second channels when the IoT device is operating in the second mode. The system instructs the IoT device to switch to the second mode in response to determining that the IoT device is capable of switching to the second mode and sends the firmware update to the IoT device while the IoT device is in the second mode. The system determines that the firmware update has been completed and instructs the IoT device to switch from the second mode to the first mode when the firmware update has been completed.

    SYSTEMS AND METHODS FOR RAN SLICING IN A WIRELESS ACCESS NETWORK

    公开(公告)号:US20210084699A1

    公开(公告)日:2021-03-18

    申请号:US17066161

    申请日:2020-10-08

    Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to generate a Radio Access Network (RAN) slice in a Fifth Generation (5G) New Radio (NR) base station designated for a particular type of service; determine requirements associated with the generated RAN slice; and reserve resources of the 5G NR base station for the generated RAN slice, wherein reserving the resources includes specifying one or more antenna beams generated by the 5G NR base station. The processor may be further configured to obtain criteria for categorizing user equipment (UE) device sessions as belonging to the generated RAN slice; identify UE device sessions as belonging to the RAN slice based on the obtained criteria; and apply the determined requirements to the identified UE device session using the reserved resources.

    Systems and methods for predictive user location and content replication

    公开(公告)号:US10897493B2

    公开(公告)日:2021-01-19

    申请号:US16273017

    申请日:2019-02-11

    Abstract: A Multi-access Edge Computing (“MEC”) controller may predict locations for a tracked UE at different future times, and may also predict content that the tracked UE may request at the different future times. The predictions may be based on MEC controller computing probabilities for the tracked UE being at the different locations at the different future times, and/or probabilities for the content that the tracked UE is likely to request at the different locations and/or future times. The MEC controller may identify a MEC device that provides extremely low latency service and/or optimally serves a network area that includes a predicted location. The MEC controller may issue a prefetch message to the MEC device that causes the MEC device to prefetch predicted content that the tracked UE is likely to request at the future time the tracked UE is likely to reach the predicted location.

    Method and device for adaptively controlling traffic in a mobile network

    公开(公告)号:US10757604B1

    公开(公告)日:2020-08-25

    申请号:US16441471

    申请日:2019-06-14

    Abstract: A device receive property data associated with a coverage area of a mobile network, wherein the property data includes identification information and location information associated with the coverage area; receive load data associated with the coverage area; determine a load threshold associated with the coverage area; determine whether the load data satisfies the load threshold; identify, based on determining that the load data satisfies the load threshold, impacted user equipment associated with the coverage area, wherein the impacted user equipment is further identified based on the property data; identify an application network device associated with the coverage area and the impacted user equipment, wherein the application network device is further identified based on the property data; determine a corrective action based on the load data, the load threshold, and the application network device; and perform the corrective action in connection with the application network device.

    SYSTEMS AND METHODS FOR PREDICTIVE USER LOCATION AND CONTENT REPLICATION

    公开(公告)号:US20200259878A1

    公开(公告)日:2020-08-13

    申请号:US16273017

    申请日:2019-02-11

    Abstract: A Multi-access Edge Computing (“MEC”) controller may predict locations for a tracked UE at different future times, and may also predict content that the tracked UE may request at the different future times. The predictions may be based on MEC controller computing probabilities for the tracked UE being at the different locations at the different future times, and/or probabilities for the content that the tracked UE is likely to request at the different locations and/or future times. The MEC controller may identify a MEC device that provides extremely low latency service and/or optimally serves a network area that includes a predicted location. The MEC controller may issue a prefetch message to the MEC device that causes the MEC device to prefetch predicted content that the tracked UE is likely to request at the future time the tracked UE is likely to reach the predicted location.

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