公开(公告)号：US12114173B2

公开(公告)日：2024-10-08

申请号：US17423836

申请日：2020-02-12

Applicant: Google LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: H04W16/14 ,  H04W74/0808 ,  H04W84/12

CPC classification number: H04W16/14 ,  H04W74/0808 ,  H04W84/12

Abstract: This document describes techniques and apparatuses for joint-transmission over an unlicensed frequency band using a user equipment (UE)-coordination set. In aspects, a first UE in a UE-coordination set acts as a coordinating UE. The coordinating UE receives, using a local wireless network connection, uplink data from a second UE in the UE-coordination set. The coordinating UE distributes, using the local wireless network connection, the uplink data to at least a third UE in the UE-coordination set. The coordinating UE receives, from at least one UE in the UE-coordination set, respective results of a clear channel assessment of the unlicensed frequency band. The coordinating UE determines a specified time to begin joint-transmission of the uplink data based on the results and coordinates the joint-transmission by directing the at least one UE to initiate the joint-transmission of the uplink data based on the specified time.

公开(公告)号：US20240333601A1

公开(公告)日：2024-10-03

申请号：US18573994

申请日：2022-06-17

Applicant: GOOGLE LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: H04L41/16 ,  H04W24/02

CPC classification number: H04L41/16 ,  H04W24/02

Abstract: A wireless system employs neural networks to provide for CSI estimate feedback between a transmitting device and a receiving device. A managing component selects neural network architecture configurations for implementation at the transmitting and receiving devices based on capability information. The receiving device determines CSI estimate(s) from CSI pilot signaling from the transmitting device. The CSI estimate(s) are processed by the neural network(s) at the receiving device to generate a CSF output, which can represent, for example, one or more predicted future CSI estimates and which is wirelessly transmitted to the transmitting device. The one or more neural networks at the transmitting device then process the received CSF output along to generate one or more recovered predicted future CSI estimates, which are then used to control one or more MIMO processes at the transmitting device.

公开(公告)号：US12108472B2

公开(公告)日：2024-10-01

申请号：US17610652

申请日：2020-05-27

Applicant: Google LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: H04W76/15 ,  H04W72/1263 ,  H04W72/23 ,  H04W88/04 ,  H04W92/10

CPC classification number: H04W76/15 ,  H04W72/1263 ,  H04W72/23 ,  H04W88/04 ,  H04W92/10

Abstract: Techniques and apparatuses are described for enabling dual connectivity with secondary cell-user equipment. In some aspects, a base station (121) serving as a primary cell forms a base station-user equipment dual connectivity (BUDC) group (410) by configuring a user equipment (UE, 111) as a secondary cell-user equipment (SC-UE, 420) to provide a secondary cell. The base station (121) or SC-UE (420) can then add other UEs (112, 113, 114) to the BUDC group (410) thereby enabling dual connectivity for the UEs through the primary cell or secondary cell provided by the SC-UE (420). In some cases, the SC-UE (420) schedules resources of an air interface (302) by which the other UEs to communicate with the SC-UE (420). By so doing, the SC-UE (420) can communicate data with the other UEs (112, 113, 114) of the BUDC group (410) without communicating through a base station (121, 122), which decreases latency of communications between the UEs (111-114) of the BUDC group (410).

公开(公告)号：US20240320481A1

公开(公告)日：2024-09-26

申请号：US18732413

申请日：2024-06-03

Applicant: Google LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: G06N3/063 ,  G06N3/045 ,  H04W4/06 ,  H04W8/24 ,  H04W24/02

CPC classification number: G06N3/063 ,  G06N3/045 ,  H04W4/06 ,  H04W8/245 ,  H04W24/02

Abstract: Techniques and apparatuses are described for enabling base station-user equipment messaging regarding deep neural networks. A network entity (base station 121, core network server 320) determines a neural network formation configuration (architecture and/or parameter configurations 1208) for a deep neural network (deep neural network(s) 604, 608, 612, 616) for processing communications transmitted over the wireless communication system. The network entity (base station 121, core network server 302) communicates the neural network formation configuration to a user equipment (UE 110). The user equipment (UE 110) configures a first neural network (deep neural network(s) 608, 612) based on the neural network formation configuration. In implementations, the user equipment (UE 110) recovers information communicated over the wireless network using the first neural network (deep neural network(s) 608, 612). This allows the wireless communication system to adapt to changing operating conditions and improve information recovery.

公开(公告)号：US12096246B2

公开(公告)日：2024-09-17

申请号：US17619088

申请日：2020-06-22

Applicant: Google LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: H04W24/02 ,  G06N3/08 ,  H04W24/10

CPC classification number: H04W24/02 ,  G06N3/08 ,  H04W24/10

Abstract: This document describes techniques and apparatuses for optimizing a cellular network using machine learning. In particular, a network-optimization controller uses machine learning to determine an optimized network-configuration parameter that affects a performance metric of the cellular network. To make this determination, the network-optimization controller requests and analyzes gradients determined by one or more user equipments, one or more base stations, or combinations thereof. By using machine learning, the network-optimization controller identifies different optimized network-configuration parameters associated with different local optima or global optima of an optimization function, and selects a particular optimized network-configuration parameter that is appropriate for a given environment. In this manner, the network-optimization controller dynamically optimizes the cellular network to account for both short-term and long-term environmental changes.

公开(公告)号：US20240292405A1

公开(公告)日：2024-08-29

申请号：US18571595

申请日：2022-06-24

Applicant: Google LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: H04W72/121 ,  H04W76/10 ,  H04W76/20 ,  H04W92/10

CPC classification number: H04W72/121 ,  H04W76/10 ,  H04W76/20 ,  H04W92/10

Abstract: Methods, devices, systems, and means for intra-UECS communication by a coordinating user equipment, UE, in a user equipment-coordination set, UECS, are described herein. The coordinating UE allocates first air interface resources to a second UE and second air interface resources to a third UE for intra-UECS communication. The coordinating UE receives, using the allocated first air interface resources, an Internet Protocol, IP, data packet from the second UE in the UECS. The coordinating UE determines that a destination address included in the IP data packet is an address of the third UE and transmits, using the allocated second air interface resources, the IP data packet to the third UE.

公开(公告)号：US12003957B2

公开(公告)日：2024-06-04

申请号：US17281207

申请日：2019-09-30

Applicant: Google LLC

Inventor： Erik Richard Stauffer ,  Jibing Wang

IPC: H04W12/041 ,  H04L9/06 ,  H04L9/08 ,  H04W12/06

CPC classification number: H04W12/041 ,  H04L9/0618 ,  H04L9/0825 ,  H04W12/06

Abstract: This document describes techniques and apparatuses for distributed network cellular identity management. In particular, a distributed-network cellular-identity-management (DNCIM) server includes a lookup table that stores and relates together a user-equipment (UE) public key associated with a UE private key, a core-network (CN) public key associated with a CN private key, and a subscriber identity. Using the DNCIM server, the UE and an authentication server respectively generate two different (e.g., asymmetric) cipher keys based on the UE private key and the CN public key, and the UE public key and the CN private key. The UE and the authentication server can also authenticate one another by referencing information in the lookup table of the DNCIM server. Using these cipher keys, the UE and the authentication server can establish secure communications with each other.

公开(公告)号：US12001943B2

公开(公告)日：2024-06-04

申请号：US16962497

申请日：2019-08-14

Applicant: Google LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: H04W24/02 ,  G06N3/045 ,  G06N3/063 ,  H04W4/06 ,  H04W8/24

CPC classification number: G06N3/063 ,  G06N3/045 ,  H04W4/06 ,  H04W8/245 ,  H04W24/02

Abstract: Techniques and apparatuses are described for enabling base station-user equipment messaging regarding deep neural networks. A network entity (base station 121, core network server 320) determines a neural network formation configuration (architecture and/or parameter configurations 1208) for a deep neural network (deep neural network(s) 604, 608, 612, 616) for processing communications transmitted over the wireless communication system. The network entity (base station 121, core network server 302) communicates the neural network formation configuration to a user equipment (UE 110). The user equipment (UE 110) configures a first neural network (deep neural network(s) 608, 612) based on the neural network formation configuration. In implementations, the user equipment (UE 110) recovers information communicated over the wireless network using the first neural network (deep neural network(s) 608, 612). This allows the wireless communication system to adapt to changing operating conditions and improve information recovery.

公开(公告)号：US20240146620A1

公开(公告)日：2024-05-02

申请号：US18279984

申请日：2022-03-01

Applicant: GOOGLE LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: H04L41/16 ,  H04W72/51

CPC classification number: H04L41/16 ,  H04W72/51

Abstract: A method includes receiving an information block as an input to a transmitter neural network, receiving, as an input to the transmitter neural network, sensor data from one or more sensors, processing the information block and sensor data at the transmitter neural network to generate an output, and controlling an RF transceiver based on the output to generate an RF signal (134) for wireless transmission. Another method includes receiving a first output from an RF transceiver as a first input to a receiver neural network, receiving, as a second input to the receiver neural network, a set of sensor data from one or more sensors, processing the first input and the second input at the receiver neural network to generate an output, and processing the output to generate an information block representative of information communicated by a data sending device.

公开(公告)号：US20240137073A1

公开(公告)日：2024-04-25

申请号：US18546026

申请日：2022-01-18

Applicant: Google LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: H04B7/024 ,  H04B7/06

CPC classification number: H04B7/024 ,  H04B7/0617

Abstract: Techniques described herein describe aspects of signal adjustments in user equipment-coordination set, UECS, joint transmissions. A base station analyzes a first joint transmission from multiple user equipments, UEs, participating in a UECS, where the multiple UEs include a coordinating UE of the UECS and at least one non-coordinating UE participating in the UECS. The base station determines that the first joint transmission fails to meet a performance metric and directs the multiple UEs participating in the UECS to add signal adjustments to a second joint transmission.