公开(公告)号：US12236347B2

公开(公告)日：2025-02-25

申请号：US18401096

申请日：2023-12-29

Applicant: Google LLC

Inventor： Jibing Wang ,  Erik Stauffer

IPC: G06N3/08 ,  G06N3/04 ,  H04L12/18 ,  H04L25/02

Abstract: Techniques and apparatuses are described for machine-learning architectures for broadcast and multicast communications. A network entity processes broadcast or multicast communications using a deep neural network (DNN) to direct the one or more broadcast or multicast communications to a targeted group of user equipments (UEs) using the wireless communication system. The network entity receives feedback from at least one user equipment (UE) of the targeted group of UEs. The network entity determines a modification to the DNN based on the feedback. The network entity transmits an indication of the modification to the targeted group of UEs. The network entity updates the DNN with the modification to form a modified DNN. The network entity processes the broadcast or multicast communications using the modified DNN to direct the broadcast or multicast communications to the targeted group of UEs using the wireless communication system.

公开(公告)号：US20250056569A1

公开(公告)日：2025-02-13

申请号：US18722871

申请日：2023-01-27

Applicant: Google LLC

Inventor： Jibing Wang ,  Aamir Akram ,  Erik Stauffer

IPC: H04W72/25 ,  H04B17/318

Abstract: A system and method of network slicing for sidelink devices. The method includes establishing a sidelink connection with a second UE (104). The method includes receiving, from the second UE (104) via the sidelink connection (119), a first request for a network slice of a physical network (106). The method includes transmitting, responsive to receiving the first request for the network slice, a first message to the physical network over a first network slice between the first UE (102) and the physical network (106) to request the physical network to establish a second network slice communicatively coupling the second UE (104) to the physical network (106) via the sidelink connection (119).

公开(公告)号：US20250038901A1

公开(公告)日：2025-01-30

申请号：US18773383

申请日：2024-07-15

Applicant: Google LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: H04L5/00 ,  H04W72/044

Abstract: A network entity transmits, to a first UE and a second UE, a plurality of reference signals via a plurality of beams corresponding to a plurality of subbands, receives, from the first UE, a first indicator of a first beam of the plurality of beams and a first subband of the plurality of subbands satisfying a first threshold, receives, from the second UE, a second indicator of the first beam and a second subband of the plurality of subbands satisfying a second threshold, the second subband being different from the first subband. The network entity further communicates, with the first UE in a slot, a first communication via the first beam and the first subband, and communicates, with the second UE in the slot, a second communication via the first beam and the second subband.

公开(公告)号：US20240397476A1

公开(公告)日：2024-11-28

申请号：US18690049

申请日：2022-09-07

Applicant: GOOGLE LLC

Inventor： Jibing Wang ,  Erik Richard Stauffer

IPC: H04W64/00 ,  G06N3/098 ,  H04W8/22

Abstract: A wireless communication system employs DNNs or other neural networks to provide for RAT-assisted positioning of UEs. A TX DNN at the BS generates and provides for wireless transmission of a reference signal to the UE. An RX DNN at the UE receives the reference signal and local UE sensor data as input, and from this input generates a UE measurement and sensor report. A TX DNN at the UE receives the report as an input, and from this input generates an RF signal representing the UE measurement and sensor report for transmission to the BS. An RX DNN at the BS receives the report from the RF signal as input, and from this input generates a position estimate of the UE.

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.