公开(公告)号：US20250030473A1

公开(公告)日：2025-01-23

申请号：US18707090

申请日：2022-01-19

Applicant: QUALCOMM Incorporated

Inventor： Qiaoyu LI ,  Arumugam CHENDAMARAI KANNAN ,  Taesang YOO ,  Philip Aaron SISK ,  Himanshu JOSHI ,  Mahmoud TAHERZADEH BOROUJENI ,  Tao LUO

IPC: H04B17/318 ,  H04B7/06 ,  H04W24/10

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a configuration that includes one or more mapping rules, each of the one or more mapping rules indicating a mapping between one or more reference signal received power (RSRP) measurements, associated with one or more reference signal resources, and one or more indices, associated with one or more feature input vectors for a machine learning model. The UE may initiate a beam prediction based at least in part on the one or more mapping rules. Numerous other aspects are described.

公开(公告)号：US20240430846A1

公开(公告)日：2024-12-26

申请号：US18821799

申请日：2024-08-30

Applicant: QUALCOMM Incorporated

Inventor： Lorenzo FERRARI ,  Taesang YOO ,  Siddhartha MALLIK

IPC: H04W64/00 ,  G01S5/02 ,  G01S19/46 ,  H04B7/02 ,  H04B17/27 ,  H04W84/12

Abstract: Position determination of a user equipment (UE) is supported using channel measurements obtained for Wireless Access Points (WAPs), wherein the channel measurements are for Line of Sight (LOS) and Non-LOS (NLOS) signals. Based on WAP almanac information and the channel measurements, channel parameters indicative of positions of signal sources relative to a first position of a UE may be determined. Using the first position of the UE and an association of the signal sources with corresponding channel parameters, a second position of the UE may be determined. The position of the UE may be a probability density function. Additionally, position information for signal sources may be determined, such as a probability density function, as well as signal blockage probability and an antenna geometry and the WAP almanac information may be updated accordingly.

公开(公告)号：US20240413867A1

公开(公告)日：2024-12-12

申请号：US18695678

申请日：2021-11-18

Applicant: QUALCOMM Incorporated

Inventor： Chenxi HAO ,  Yuwei REN ,  Wei XI ,  Rui HU ,  Yu ZHANG ,  Taesang YOO ,  Hao XU

IPC: H04B7/06

Abstract: Certain aspects of the present disclosure provide techniques for reporting channel state information (CSI). According to certain aspects, a method for wireless communications by a user equipment (UE) generally includes generating channel state information (CSI) comprising a (at least one) fractional rank indication (RI) value for a set of candidate ranks, a first indication of a first layer or first singular vector, and a second indication of a second layer or second singular vector and transmitting the CSI to a network entity.

公开(公告)号：US20240372636A1

公开(公告)日：2024-11-07

申请号：US18481655

申请日：2023-10-05

Applicant: QUALCOMM Incorporated

Inventor： Aleksandr ERMOLOV ,  Bence MAJOR ,  Mohammed Ali Mohammed HIRZALLAH ,  Srinivas YERRAMALLI ,  Taesang YOO

IPC: H04B17/27 ,  H04W64/00

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for improved machine learning. A sequence of data records is accessed, each data record comprising wireless channel measurements and inertial measurement unit (IMU) data. Known position information corresponding to at least a first data record is accessed. A first sequence of positions is determined by processing the sets of IMU data and known position information using a forward operation. A second sequence of positions is determined by processing the sets of IMU data and known position information using a backward operation. An IMU adjustment parameter is generated using the first and second sequences of positions. A pseudo-label is generated for a second data record using the IMU adjustment parameter and the sets of IMU data. A machine learning model is trained, using the second data record and the pseudo-label, to predict positions using one or more wireless channel measurements.

公开(公告)号：US20240357321A1

公开(公告)日：2024-10-24

申请号：US18764010

申请日：2024-07-03

Applicant: QUALCOMM Incorporated

Inventor： Jay Kumar SUNDARARAJAN ,  Krishna Kiran MUKKAVILLI ,  Taesang YOO ,  Naga BHUSHAN ,  June NAMGOONG ,  Pavan Kumar VITTHALADEVUNI ,  Tingfang JI

IPC: H04W4/029 ,  G06N3/088

CPC classification number: H04W4/029 ,  G06N3/088

Abstract: In an aspect, a UE obtains information (e.g., UE-specific information, etc.) associated with a set of triggering criteria for a set of neural network functions, the set of neural network functions configured to facilitate positioning measurement feature processing at the UE, the set of neural network functions being generated dynamically based on machine-learning associated with one or more historical measurement procedure, obtains positioning measurement data associated with a location of the UE, and determines a positioning estimate for the UE based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria.

公开(公告)号：US20240337721A1

公开(公告)日：2024-10-10

申请号：US18295817

申请日：2023-04-04

Applicant: QUALCOMM Incorporated

Inventor： Mohammed Ali Mohammed HIRZALLAH ,  Srinivas YERRAMALLI ,  Taesang YOO

IPC: G01S5/02 ,  H04L5/00 ,  H04W64/00

CPC classification number: G01S5/02524 ,  G01S5/0236 ,  H04L5/0048 ,  H04W64/00

Abstract: A network node may receive a set of sounding reference signals (SRSs) from a wireless device. The network node may measure the set of SRSs. The network node may output at least one of a set of estimated positioning labels, training associated information, or labeling assistance information associated with the set of measured SRSs for a positioning model. In one example, the network node may output the data by training the positioning model based on at least one of the set of estimated positioning labels, the training associated information, the labeling assistance information, or the set of measured SRSs. In another example, the network node may output the data by transmitting, for a network entity, at least one of the set of estimated positioning labels, the training associated information, or the set of measured SRSs for training the positioning model.

公开(公告)号：US20240334317A1

公开(公告)日：2024-10-03

申请号：US18739116

申请日：2024-06-10

Applicant: QUALCOMM Incorporated

Inventor： Shankar KRISHNAN ,  Xipeng ZHU ,  Taesang YOO ,  Rajeev KUMAR ,  Gavin Bernard HORN ,  Aziz GHOLMIEH ,  Eren BALEVI

IPC: H04W48/16 ,  H04W24/10 ,  H04W48/08 ,  H04W72/542

CPC classification number: H04W48/16 ,  H04W24/10 ,  H04W48/08 ,  H04W72/542

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may communicate with a network entity within a wireless communications network. The UE may transmit a request for information to the network entity and, in response to the request, the UE may receive the requested information from the network entity. For example, the UE may request data from one or more data repositories associated with the network entity. In some examples, the information request may be associated with one or more measurements associated with operations of the network. In some instances, the UE may use a machine learning model to perform training or inference based on the information associated with the one or more measurements.

公开(公告)号：US20240179671A1

公开(公告)日：2024-05-30

申请号：US18551770

申请日：2022-03-23

Applicant: QUALCOMM Incorporated

Inventor： Sooryanarayanan GOPALAKRISHNAN ,  Jay Kumar SUNDARARAJAN ,  Alexandros MANOLAKOS ,  Naga BHUSHAN ,  Taesang YOO ,  Krishna Kiran MUKKAVILLI ,  Weimin DUAN ,  Tingfang JI

IPC: H04W64/00

CPC classification number: H04W64/00

Abstract: Disclosed are techniques for positioning. In an aspect, a network node receives, from a network entity, one or more parameters for a neural network, performs one or more measurements of at least one reference signal from a target user equipment (UE) based on a measurement configuration for the at least one reference signal, generates one or more statistics of one or more features of the at least one reference signal based on the neural network and the one or more measurements, and reports the one or more statistics to the network entity to enable the network entity to estimate a location of the target UE based on the one or more statistics and a location of the network node.

公开(公告)号：US20240147267A1

公开(公告)日：2024-05-02

申请号：US18548065

申请日：2021-05-14

Applicant: QUALCOMM Incorporated

Inventor： Yuwei REN ,  Ruiming ZHENG ,  Chenxi HAO ,  Xipeng ZHU ,  Shankar KRISHNAN ,  Taesang YOO ,  Yu ZHANG ,  Hao XU ,  Yin HUANG

IPC: H04W24/04 ,  H04L41/0654 ,  H04L41/16 ,  H04W24/02

CPC classification number: H04W24/04 ,  H04L41/0654 ,  H04L41/16 ,  H04W24/02

Abstract: A method of wireless communications by a user equipment (UE) includes communicating with a network based on a machine learning model for wireless communication. The method also includes monitoring a status of the machine learning model for wireless communication. The method further includes reporting the status of the machine learning model for wireless communication using a predetermined resource according to a predetermined format. The method also includes falling back to communicating with a fallback procedure, instead of the machine learning model for wireless communication, to maintain wireless communication with the network in response to the status of the machine learning model indicating a model failure.

公开(公告)号：US20240125887A1

公开(公告)日：2024-04-18

申请号：US17938165

申请日：2022-10-05

Applicant: QUALCOMM Incorporated

Inventor： Roohollah AMIRI ,  Srinivas YERRAMALLI ,  Taesang YOO ,  Marwen ZORGUI ,  Mohammed Ali Mohammed HIRZALLAH ,  Rajat PRAKASH ,  Xiaoxia ZHANG

IPC: G01S5/02 ,  G01S5/06 ,  H04W24/08 ,  H04W64/00

CPC classification number: G01S5/0273 ,  G01S5/06 ,  H04W24/08 ,  H04W64/00

Abstract: Disclosed are techniques for identifying virtual anchors. In an aspect, a network entity obtains a set of data samples associated with a user equipment (UE), each data sample comprising a location of the UE and a set of multipath components (MPCs) obtained by the UE, and determines whether any MPCs in a subset of non-line-of-sight (NLOS) MPCs selected from at least one set of MPCs are associated with any previously identified virtual anchors in a database of found virtual anchors, wherein one or more first NLOS MPCs are removed from the set of data samples based on the one or more first NLOS MPCs being associated with a previously identified virtual anchor, and wherein one or more second NLOS MPCs are added to the database of found virtual anchors based on the one or more second NLOS MPCs not being associated with any previously identified virtual anchor.