Virtual user equipment with data aggregation

    公开(公告)号:US12156195B2

    公开(公告)日:2024-11-26

    申请号:US17787073

    申请日:2020-11-24

    Applicant: GOOGLE LLC

    Abstract: A base station (BS) supporting a protocol stack can implement a method for increasing network efficiency. The method includes transmitting (202), to at least a first user equipment (UE), a group identity for a group of two or more UEs that includes the first UE. The method further includes generating (302), by processing hardware of the base station and using the group identity, a data signal that includes aggregated downlink data. The aggregated downlink data includes (i) a UE-specific identity for at least two target UEs within the group and (ii) for each target UE of the at least two target UEs, a respective UE-specific identity, at an upper layer of the protocol stack, that indicates a location of the UE-specific downlink data intended for the target UE within the aggregated downlink data. The method further includes transmitting (306) the data signal to at least a portion of the group via a downlink data channel.

    DETERMINING A MACHINE-LEARNING ARCHITECTURE FOR NETWORK SLICING

    公开(公告)号:US20240373337A1

    公开(公告)日:2024-11-07

    申请号:US18774224

    申请日:2024-07-16

    Applicant: Google LLC

    Abstract: This document describes techniques and devices for determining a machine-learning architecture for network slicing. A user equipment (UE) executes a first application associated with a first requested quality-of-service level. The UE selects a first machine-learning architecture based on the first requested quality-of-service level. The UE transmits, to a network-slice manager of a wireless network, a first machine-learning architecture request message to request permission to use the first machine-learning architecture. The UE receives, from the network-slice manager, a first machine-learning architecture response message that grants permission to use the first machine-learning architecture based on a first network slice. The UE wirelessly communicates data for the first application using the first machine-learning architecture, the first machine-learning architecture being configured to compute an output based on an input using coefficients determined by the user equipment.

    OPTIMIZING A CELLULAR NETWORK USING MACHINE LEARNING

    公开(公告)号:US20240373259A1

    公开(公告)日:2024-11-07

    申请号:US18776048

    申请日:2024-07-17

    Applicant: Google LLC

    Abstract: This document describes techniques and apparatuses for optimizing a cellular network using machine learning. A network-optimization controller determines a performance metric to optimize for a cellular network. The network-optimization controller determines at least one network-configuration parameter that affects the performance metric. The network-optimization controller sends a gradient-request message to multiple base stations that directs multiple wireless transceivers to respectively evaluate gradients of the performance metric relative to the at least one network-configuration parameter. The network-optimization controller receives, from the multiple base stations, gradient-report messages generated by the multiple wireless transceivers, the gradient-report messages respectively including the gradients. The network-optimization controller analyzes the gradients using machine learning to determine at least one optimized network-configuration parameter. The network-optimization controller sends an optimization message to at least one of the multiple base stations that directs at least one of the multiple wireless transceivers to use the at least one optimized network-configuration parameter.

    Control Signaling for Monostatic Radar Sensing

    公开(公告)号:US20240241214A1

    公开(公告)日:2024-07-18

    申请号:US18559210

    申请日:2022-05-05

    Applicant: Google LLC

    CPC classification number: G01S7/006 G01S13/86 H04W8/24

    Abstract: Techniques and apparatuses are described that implement control signaling for monostatic radar sensing. In particular, a base station uses control signaling to configure a user equipment for monostatic radar sensing and control when monostatic radar sensing is performed by the user equipment. With control signaling, the base station can enable monostatic radar sensing to occur using similar frequency resources used for wireless communication, which enables efficient use of a frequency spectrum. The base station can also use control signaling to reduce interference observed by other user equipment as the user equipment performs monostatic radar sensing. By performing monostatic radar sensing, the user equipment compiles explicit information about objects within an operating environment and shares this information with the base station. The base station uses this information to improve wireless communication performance.

    Machine-learning architectures for broadcast and multicast communications

    公开(公告)号:US11886991B2

    公开(公告)日:2024-01-30

    申请号:US16698804

    申请日:2019-11-27

    Applicant: Google LLC

    CPC classification number: G06N3/08 G06N3/04 H04L12/189 H04L25/0202

    Abstract: Techniques and apparatuses are described for machine-learning architectures for broadcast and multicast communications. In implementations, a network entity determines a configuration of a deep neural network (DNN) for processing broadcast or multicast communications transmitted over a wireless communication system, where the communications are directed to a targeted group of user equipments (UEs). The network entity forms a network-entity DNN based on the determined configuration of the DNN and processes the broadcast or multicast communications using the network-entity DNN. In implementations, the network entity forms a common DNN to process and/or propagate the broadcast or multicast communications to the targeted group of UEs.

    Enhanced Uplink Spectrum Sharing
    56.
    发明公开

    公开(公告)号:US20230379722A1

    公开(公告)日:2023-11-23

    申请号:US18027803

    申请日:2021-09-27

    Applicant: Google LLC

    CPC classification number: H04W16/14 H04W72/27 H04W72/21

    Abstract: Techniques and apparatuses are described for enhanced uplink spectrum sharing. A base station communicates, to a user equipment (UE) an air interface resource configuration for a second air interface resource allocated to a second cell that uses a second radio access technology (RAT) and implemented by the base station. The base station receives a first air interface resource configuration for a first air interface resource allocated to a first cell that uses a first RAT, where the first air interface resource configuration differs from the second air interface resource configuration. In aspects, the base station communicates the first air interface resource configuration to the UE. Based on receiving a low-utilization indication for the first air interface resource, the base station directs the UE to utilize the first air interface resource for transmitting uplink communications using the second RAT.

    Active-Coordination-Set Beam Failure Recovery

    公开(公告)号:US20230370146A1

    公开(公告)日:2023-11-16

    申请号:US18248033

    申请日:2021-09-29

    Applicant: Google LLC

    CPC classification number: H04B7/0695 H04B7/024 H04B7/0888 H04W76/19

    Abstract: This document describes methods, devices, systems, and means for beam failure recovery for wireless communication in an active coordination set (ACS) by a user equipment (UE) in which the UE receives a beam-failure-recovery (BFR) Random Access Channel (RACH) configuration including multiple candidate beam configurations, each candidate beam configuration comprising a candidate BFR sub-beam configuration for each base station in the ACS. The UE detects a beam failure with the ACS and determines a respective link-quality metric for each of the received candidate beam configurations in the BFR RACH configuration. Based on the determined link-quality metrics, the UE selects a candidate beam to use for the wireless communication, and transmits a RACH message that includes an indication of the selected candidate beam, the transmitting being effective to direct the base stations in the ACS to use the selected candidate beam for the wireless communication.

    Determining a Position of User Equipment by using Adaptive Phase-Changing Devices

    公开(公告)号:US20230258759A1

    公开(公告)日:2023-08-17

    申请号:US18005555

    申请日:2021-07-15

    Applicant: Google LLC

    CPC classification number: G01S5/0036 G01S5/0273 G01S2205/008

    Abstract: Techniques and apparatuses are described for determining a position of user equipment by using adaptive phase-changing devices. In aspects, a base station transmits wireless signals for a UE toward respective reconfigurable intelligent surfaces (RISs) of adaptive phase-changing devices. The APDs may direct reflections of the wireless signals in a direction, such as toward the UE, based on a configuration of the RIS of the APD. The base station receives, from the UE via a wireless connection identifiers of the reflections of the wireless signals that are received by the UE. In some cases, the base station also receives a signal quality parameter associated with the reflection reaching the UE. The base station determines angular information based on the respective identifiers and/or signal quality parameters of the reflections. Based on the angular information and known positions of the APDs, the base station determines a position of the UE.

    Enhancement on Smartwatch Implementation
    60.
    发明公开

    公开(公告)号:US20230239669A1

    公开(公告)日:2023-07-27

    申请号:US18127893

    申请日:2023-03-29

    Applicant: Google LLC

    CPC classification number: H04W4/80 H04L5/14 H04L41/0806 H04W76/11 H04W76/15

    Abstract: The subject matter described herein provides systems and techniques to automatically configure a proximal device, such as a smart watch, a tablet, or any other smart device, based on configuration information sent from the user equipment (UE) to the proximal device when the local communications connection, such as a wireless connection, between the devices is weak. If it is determined that there is a weak local communications connection between the UE and the proximal device the UE may automatically send network configuration information to the proximal device. If it is determined that there is a weak local communications connection between the UE and the proximal device the UE may automatically turn on its mobile hotspot, and automatically send the mobile hotspot configuration information to the proximal device.

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