公开(公告)号：US20230007564A1

公开(公告)日：2023-01-05

申请号：US17305119

申请日：2021-06-30

Applicant: QUALCOMM Incorporated

Inventor： Anantharaman BALASUBRAMANIAN ,  Shuanshuan WU ,  Kapil GULATI ,  Kyle Chi GUAN ,  Himaja KESAVAREDDIGARI

IPC: H04W40/18 ,  H04B17/391 ,  G06N20/00 ,  G06N5/04

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmitter node may predict a future state associated with a wireless channel at a future time instance using a machine learning model, wherein the future state is predicted based at least in part on one or more of weights associated with the machine learning model, a current state associated with the wireless channel, or one or more previous states associated with the wireless channel. The transmitter node may select one or more parameters for a transmission to occur at the future time instance based at least in part on the future state associated with the wireless channel. The transmitter node may perform the transmission using the one or more parameters. Numerous other aspects are described.

公开(公告)号：US20250076445A1

公开(公告)日：2025-03-06

申请号：US18240732

申请日：2023-08-31

Applicant: QUALCOMM Incorporated

Inventor： Mahmoud ASHOUR ,  Kapil GULATI ,  Himaja KESAVAREDDIGARI ,  Kyle Chi GUAN

IPC: G01S5/02 ,  G01S5/00

Abstract: A method of wireless communication at a UE is described herein. The method includes transmitting a sensing report including (1) a first indication of at least one radio frequency (RF) measurement associated with at least one BPL and (2) a second indication of a representation of an environment of the UE. The method includes obtaining an RF map based on the transmitted sensing report, where the RF map is indicative of at least one surface in the environment of the UE that is associated with at least one suitable BPL. The method includes communicating based on the RF map.

公开(公告)号：US20230328492A1

公开(公告)日：2023-10-12

申请号：US17714977

申请日：2022-04-06

Applicant: QUALCOMM Incorporated

Inventor： Kyle Chi GUAN ,  Himaja KESAVAREDDIGARI ,  Qing LI ,  Kapil GULATI ,  Junyi LI ,  Hong CHENG

IPC: H04W4/50 ,  H04W48/16 ,  H04W76/10 ,  G06N5/04

CPC classification number: H04W4/50 ,  H04W48/16 ,  H04W76/10 ,  G06N5/04 ,  H04W80/10

Abstract: Aspects of dynamic and interactive machine learning and feature extraction techniques for performing beam interference management are disclosed. In one aspect, upon entering a coverage area, a UE may transmit a discovery message including one or more machine learning (ML) services for ML service discovery. Based on the ML service discovery, the UE may transmit a session request to establish a data service session between the UE and a network node based on the ML service discovery and other criteria such as extracted features. The network node may receive the ML discovery data and extracted features and aggregate this information with other intelligent network devices to enable the network node to predict a beam blockage during the ML inference data service session. The network node can adapt beam blockage predictions by changing the timing and direction of communications between network entities.

公开(公告)号：US20230325706A1

公开(公告)日：2023-10-12

申请号：US17714946

申请日：2022-04-06

Applicant: QUALCOMM Incorporated

Inventor： Himaja KESAVAREDDIGARI ,  Kyle Chi Guan ,  Qing Li ,  Kapil Gulati ,  Junyi Li ,  Hong Cheng

IPC: G06N20/00 ,  H04W24/02 ,  G06N5/04

CPC classification number: G06N20/00 ,  H04W24/02 ,  G06N5/04 ,  H04W84/18

Abstract: Aspects are provided which allow a UE to switch between feature data extraction models in order to provide adaptive feature data of dynamic, potential LOS obstacles for improved beam blockage prediction performance (or other functions) at the network node. Initially, the network node receives first feature data from a UE based on a first data extraction model of the UE. The network node transmits a message instructing the UE to switch from the first data extraction model to a second data extraction model of the UE based on a state of the UE. In response to the message, the UE determines to switch from the first data extraction model to the second data extraction model and transmits, to the network node, second feature data based on the second data extraction model. The network node may then determine a beam blockage prediction in response to the second feature data.

公开(公告)号：US20230276338A1

公开(公告)日：2023-08-31

申请号：US17652673

申请日：2022-02-25

Applicant: QUALCOMM Incorporated

Inventor： Kapil GULATI ,  Qing LI ,  Kyle Chi GUAN ,  Himaja KESAVAREDDIGARI ,  Hong CHENG ,  Junyi LI

IPC: H04W40/12 ,  H04W76/10 ,  H04W4/20

CPC classification number: H04W40/12 ,  H04W76/10 ,  H04W4/20

Abstract: A first UE and a second UE may exchange information relating to one or more machine learning data services. The one or more machine learning data services may be provided by the second UE. The first UE and the second UE may pair with each other for the one or more machine learning data services. The second UE may perform machine learning inference using at least one machine learning inference model, and may transmit the inference result (e.g., a link quality prediction) associated with a link between a network node and the first UE to the network node. The network node may switch (the direction of) the network node beam if the inference result predicts that the degree of link quality degradation associated with a current network node beam is going to be greater than a prespecified threshold.