ADAPTIVE REPETITION IN WIRELESS COMMUNICATION SYSTEMS

    公开(公告)号:US20240333436A1

    公开(公告)日:2024-10-03

    申请号:US18739192

    申请日:2024-06-10

    CPC classification number: H04L1/1825 H04L1/0002 H04L1/003 H04L1/20

    Abstract: The described technology is generally directed towards adaptively selecting a repetition level in wireless communications, based on events to improve coverage range via the repetition level while not unnecessarily reducing throughput. One such event can include a current signal-to-noise-ratio, e.g., as reported in a channel quality indicator report from a user equipment. Another such event can comprise a number of consecutive hybrid automatic repeat request acknowledgments or negative acknowledgments (HARQ ACKS/NACKS), in which consecutive ACKs tend to indicate good signal quality, while consecutive NACKs tend to indicate poor signal quality. A combination of channel quality indicator-based adaptive repetition level and HARQ ACK/NACK-based adaptive repetition level can be employed.

    SYSTEM AND METHOD OF OPTICAL ANTENNA TUNING
    63.
    发明公开

    公开(公告)号:US20240332805A1

    公开(公告)日:2024-10-03

    申请号:US18738482

    申请日:2024-06-10

    CPC classification number: H01Q9/0442 H01Q9/145 H04B10/80

    Abstract: A method includes determining an operating frequency of an antenna at a component of the antenna. The method includes determining, at the component of the antenna, a filter node of a plurality of filter nodes to activate to tune the antenna to the operating frequency. The method includes transmitting power to the filter node, wherein the power is transmitted via a first optical fiber. The method also includes sending a signal from the component to a light source. The activation of the light source sends an optical signal to the filter node. The filter node adjusts a characteristic of a radiating element coupled to the filter node using the power responsive to the optical signal. Adjustment of the characteristic facilitates tuning the antenna to the operating frequency.

    BROWSER IN THE BROWSER ATTACK PROTECTION EMPLOYING ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20240330444A1

    公开(公告)日:2024-10-03

    申请号:US18194102

    申请日:2023-03-31

    Inventor: Joseph Soryal

    CPC classification number: G06F21/554 G06F2221/034

    Abstract: Aspects of the subject disclosure may include, for example, capturing an image of information displayed on a display screen of the device, identifying in the image a pop-up, the pop-up prompting entry of user credentials of a user for an authenticator website, the pop-up generating an authorization request from the device to the authenticator website, identifying in the image a network address for a target website, and communicating with the authenticator website at the network address for verification of the authorization request. Other embodiments are disclosed.

    CELLULAR DEVICE GEOLOCATION BASED ON TIMING ADVANCE DATA

    公开(公告)号:US20240323650A1

    公开(公告)日:2024-09-26

    申请号:US18678237

    申请日:2024-05-30

    CPC classification number: H04W4/029 H04M15/61 H04W74/0833

    Abstract: Aspects of the subject disclosure may include, for example, a network device that comprises a processing system including a processor and a memory storing instructions that, when executed by the processing system, facilitate performance of operations. The operations include obtaining timing advance data regarding a communication device served by the network; the timing advance data is collected by a network element coupled to the network device, and the network element communicates with the communication device using control-plane signaling. The timing advance data is processed using location data regarding the network element to determine a geolocation of the communication device. The geolocation is stored at a storage device; the network device and storage device are included in a secure portion of the network. The geolocation is provided to equipment of a network customer accessing the secure portion of the network via a secure interface. Other embodiments are disclosed.

    CONSTRUCTING MACHINE LEARNING MODELS
    68.
    发明公开

    公开(公告)号:US20240320563A1

    公开(公告)日:2024-09-26

    申请号:US18732401

    申请日:2024-06-03

    CPC classification number: G06N20/00

    Abstract: An example method includes initializing a configuration file for a machine learning model, wherein the initializing is performed in response to receiving a request from a user, and wherein the configuration file comprises a plurality of sections that is configurable by the user, configuring at least one parameter of a feature engineering rules section of the configuration file, wherein the configuring the at least one parameter of the feature engineering rules section is based on a first value provided by the user, configuring at least one parameter of an algorithm definitions section of the configuration file, wherein the configuring the at least one parameter of the algorithm definitions section is based on a second value provided by the user, and populating the configuration file using the feature engineering rules section as configured and the algorithm definitions section as configured, to generate the machine learning model.

    APPARATUSES AND METHODS FOR FACILITATING AN INTEGRATED NETWORK AND SYSTEM PLANNING TOOL

    公开(公告)号:US20240314575A1

    公开(公告)日:2024-09-19

    申请号:US18185530

    申请日:2023-03-17

    CPC classification number: H04W16/18

    Abstract: Aspects of the subject disclosure may include, for example, obtaining, by a processing system including a processor, an indication of a first address corresponding to a location that is a candidate to obtain communication services via a deployment of a fiber link, determining, by the processing system and based on a plurality of datasets sourced from a plurality of data sources, that it is economically feasible to deploy the fiber link from a second address to the first address to support the communication services, and generating, by the processing system and based on the determining, a recommendation for deploying the fiber link. Other embodiments are disclosed.

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