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
    44.
    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
    47.
    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.

    Position Control of Adaptive Phase-Changing Devices

    公开(公告)号:US20230208479A1

    公开(公告)日:2023-06-29

    申请号:US17997587

    申请日:2021-05-17

    Applicant: Google LLC

    CPC classification number: H04B7/0456 H04B7/026 H04B7/0617

    Abstract: Techniques and apparatuses are described for modifying a position of an adaptive phase-changing device, APD. In aspects, a base station receives, from a user equipment, UE, at least one link quality parameter that is indicative of a channel impairment. The base station then identifies, using the at least one link quality parameter, a surface configuration for a reconfigurable intelligent surface (RIS) of an adaptive phase-changing device (APD) and transmits a first indication of the surface configuration using an adaptive phase-changing device control channel, APD control channel. In aspects, the base station determines using the at least one link quality parameter, a position configuration for the APD and transmits a second indication of the position configuration to the APD. The base station then communicates with the UE using the APD.

    Deep neural network processing for a user equipment-coordination set

    公开(公告)号:US11663472B2

    公开(公告)日:2023-05-30

    申请号:US16915909

    申请日:2020-06-29

    Applicant: Google LLC

    CPC classification number: G06N3/08 G06N3/04 H04B7/026

    Abstract: Techniques and apparatuses are described for deep neural network (DNN) processing for a user equipment-coordination set (UECS). A network entity selects (910) an end-to-end (E2E) machine-learning (ML) configuration that forms an E2E DNN for processing UECS communications. The network entity directs (915) each device of multiple devices participating in an UECS to form, using at least a portion of the E2E ML configuration, a respective sub-DNN of the E2E DNN that transfers the UECS communications through the E2E communication, where the multiple devices include at least one base station, a coordinating user equipment (UE), and at least one additional UE. The network entity receives (940) feedback associated with the UECS communications and identifies (945) an adjustment to the E2E ML configuration. The network entity then directs at least some of the multiple devices participating in an UECS to update the respective sub-DNN of the E2E DNN based on the adjustment.

    User-Equipment-Coordination-Set Scheduling

    公开(公告)号:US20220394725A1

    公开(公告)日:2022-12-08

    申请号:US17765279

    申请日:2020-08-11

    Applicant: Google LLC

    Abstract: This document describes methods, devices, systems, and means for user-equipment-coordination-set (UESC) scheduling in which a coordinating user equipment receives an indication from a base station specifying multiple user equipments to include in the user-equipment-coordination set. The coordinating user equipment allocates resources to each of the multiple user equipments for communication using the local wireless network and transmits a UECS resource grant to each of the multiple user equipments for communication using the local wireless network. The coordinating user equipment communicates with the multiple user equipments, using the resources granted in the UECS resource grants for the local wireless network, to coordinate a joint communication between the user-equipment-coordination set and the base station. The coordinating user equipment participates in the joint communication, with the multiple user equipments, to communicate data with the base station for a target user equipment in the user-equipment-coordination set.

Patent Agency Ranking