公开(公告)号：US20180027437A1

公开(公告)日：2018-01-25

申请号：US15389337

申请日：2016-12-22

Applicant: QUALCOMM Incorporated

Inventor： Pavan Kumar Vitthaladevuni ,  June Namgoong ,  Joseph Binamira Soriaga ,  Jay Kumar Sundararajan

IPC: H04W24/10 ,  H04W72/04 ,  H04W72/08 ,  H04L5/00 ,  H04L1/00

CPC classification number: H04W24/10 ,  H04B17/309 ,  H04B17/318 ,  H04L1/0026 ,  H04L5/0048 ,  H04L5/006 ,  H04L25/0224 ,  H04W52/10 ,  H04W52/146 ,  H04W52/242 ,  H04W52/325 ,  H04W52/343 ,  H04W52/38 ,  H04W52/383 ,  H04W72/0406 ,  H04W72/0446 ,  H04W72/085

Abstract: Aspects of the present disclosure provide for enhanced channel estimation in a wireless communication network. Uplink channel estimation may be enhanced by increasing the uplink transmit power of an uplink reference signal. For example, the uplink transmit power may be increased by multiplying a measured downlink path loss by a predetermined factor to produce an increased downlink path loss and calculating the uplink transmit power based on the increased downlink path loss. Downlink channel estimation may be enhanced by increasing a number of tones on a downlink reference signal assigned to a scheduled entity relative to the number of tones assigned to other scheduled entities.

公开(公告)号：US09301161B2

公开(公告)日：2016-03-29

申请号：US13871242

申请日：2013-04-26

Applicant: QUALCOMM Incorporated

Inventor： Pavan Kumar Vitthaladevuni ,  Arnaud Meylan ,  Sharad Deepak Sambhwani ,  Brandon Allen Burdge ,  Sridhar Ramanujam ,  Siddharth Mohan

IPC: H04W24/02 ,  H04W48/18

CPC classification number: H04W24/02 ,  H04W48/18

Abstract: A method and apparatus for determining available downlink bandwidth are described. The described aspects may include estimating an available link capacity of a cell for a user equipment. The described aspects may include estimating an available fraction of cell resources for the user equipment. The described aspects may include estimating available bandwidth of the cell for the user equipment as a function of the estimated available link capacity and the estimated available fraction of cell resources. Available bandwidth may be estimated for a cell in a Universal Mobile Telecommunications System (UMTS) system when the user equipment is in an idle mode and/or a connected mode. Available bandwidth may be estimated for a cell in a Long Term Evolution (LTE) system when the user equipment is in an idle mode and/or a connected mode.

Abstract translation: 描述了一种用于确定可用下行链路带宽的方法和装置。 所描述的方面可以包括估计用于用户设备的小区的可用链路容量。 所描述的方面可以包括估计用户设备的小区资源的可用分数。 所描述的方面可以包括根据估计的可用链路容量和小区资源的估计可用分数来估计用户设备的小区的可用带宽。 当用户设备处于空闲模式和/或连接模式时，可以为通用移动电信系统（UMTS）系统中的小区估计可用带宽。 当用户设备处于空闲模式和/或连接模式时，可以为长期演进（LTE）系统中的小区估计可用带宽。

公开(公告)号：US12101206B2

公开(公告)日：2024-09-24

申请号：US17385659

申请日：2021-07-26

Applicant: QUALCOMM Incorporated

Inventor： Pavan Kumar Vitthaladevuni ,  Taesang Yoo ,  Naga Bhushan

IPC: H04L25/02 ,  G06N3/045 ,  G06N3/08 ,  H04B17/336

CPC classification number: H04L25/0254 ,  G06N3/045 ,  G06N3/08 ,  H04B17/336

Abstract: A method of wireless communication by a user equipment (UE) includes receiving, from a base station, a configuration to train a neural network for multiple different signal to noise ratios (SNRs) of a channel estimate for a wireless communication channel. The method also includes determining a current SNR of the channel estimate is above a first threshold value. The method further includes training the neural network based on the channel estimate, to obtain a first trained neural network. The method still further includes perturbing the channel estimate to obtain a perturbed channel estimate, and training the neural network based on the perturbed channel estimate, to obtain a second trained neural network. The method includes reporting, to the base station, parameters of the first trained neural network along with the channel estimate, and parameters of the second trained neural network.

公开(公告)号：US12058586B2

公开(公告)日：2024-08-06

申请号：US17391594

申请日：2021-08-02

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：US12028284B2

公开(公告)日：2024-07-02

申请号：US17595542

申请日：2020-05-28

Applicant: QUALCOMM Incorporated

Inventor： Bo Chen ,  Chenxi Hao ,  Yu Zhang ,  Ruifeng Ma ,  Pavan Kumar Vitthaladevuni ,  Sony Akkarakaran ,  Joseph Binamira Soriaga ,  Krishna Kiran Mukkavilli ,  Tingfang Ji ,  Hao Xu

IPC: H04L5/00 ,  H04L25/02

CPC classification number: H04L5/0048 ,  H04L5/0087 ,  H04L5/0091 ,  H04L25/0228 ,  H04L25/0248

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a sounding reference signal (SRS) configuration that indicates a maximum number of SRS ports and whether the UE is permitted to determine an actual number of SRS ports to be used for SRS transmission that is different from the maximum number of SRS ports. The UE may determine the actual number of SRS ports to be used for SRS transmission based at least in part on the SRS configuration. The UE may transmit one or more SRSs using the actual number of SRS ports. Numerous other aspects are provided.

公开(公告)号：US11963212B2

公开(公告)日：2024-04-16

申请号：US17035093

申请日：2020-09-28

Applicant: QUALCOMM Incorporated

Inventor： Alexandros Manolakos ,  Muhammad Sayed Khairy Abdelghaffar ,  Weimin Duan ,  Pavan Kumar Vitthaladevuni ,  Krishna Kiran Mukkavilli

IPC: H04W72/541 ,  H04J13/16 ,  H04L5/00 ,  H04W72/21 ,  H04W72/23

CPC classification number: H04W72/541 ,  H04J13/16 ,  H04L5/0051 ,  H04W72/21 ,  H04W72/23

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive downlink control information (DCI) that includes an indication of a null resource element pattern. The null resource element pattern may be indicated in the DCI using: a value of an antenna port field that also indicates one or more demodulation reference signal (DMRS) ports for the UE and a number of DMRS code-division multiplexing groups without data, or one or more zero power downlink reference signals. The UE may perform one or more demodulation interference measurements based at least in part on the null resource element pattern. The UE may demodulate a downlink communication based at least in part on performing the one or more demodulation interference measurements. Numerous other aspects are provided.

公开(公告)号：US11889458B2

公开(公告)日：2024-01-30

申请号：US17391373

申请日：2021-08-02

Applicant: QUALCOMM Incorporated

Inventor： Jay Kumar Sundararajan ,  Taesang Yoo ,  Naga Bhushan ,  Pavan Kumar Vitthaladevuni ,  June Namgoong ,  Krishna Kiran Mukkavilli ,  Tingfang Ji

IPC: H04W64/00 ,  G06N3/08 ,  H04L5/00

CPC classification number: H04W64/00 ,  G06N3/08 ,  H04L5/0048

Abstract: In an aspect, a network component transmits, to a UE, at least one neural network function configured to facilitate processing of positioning measurement data into one or more positioning measurement features at the UE, the at least one neural network function being generated dynamically based on machine-learning associated with one or more historical measurement procedures. The UE may obtain positioning measurement data associated with the UE, and may process the positioning measurement data into a respective set of positioning measurement features based on the at least one neural network function. The UE may report the processed set of positioning measurement features to a network component, such as the BS or LMF.

公开(公告)号：US11863495B2

公开(公告)日：2024-01-02

申请号：US17393997

申请日：2021-08-04

Applicant: QUALCOMM Incorporated

Inventor： Pavan Kumar Vitthaladevuni ,  Taesang Yoo ,  Naga Bhushan ,  June Namgoong ,  Jay Kumar Sundararajan ,  Krishna Kiran Mukkavilli ,  Tingfang Ji

IPC: H04L5/00

CPC classification number: H04L5/0057

Abstract: A user equipment (UE) receives, from a network entity, a message indicating a change in a set of downlink beams for channel state information reference signals (CSI-RSs), and a context associated with the change. The UE saves state values in an auto-encoder neural network in response to receiving the message and associates the saved state values in the auto-encoder neural network to the context in the received message. The UE also resets the state values in the auto-encoder neural network in response to receiving the message and estimates a channel state based on the CSI-RSs received on the changed set of downlink beams. The UE compresses the channel state with the auto-encoder neural network based on the reset state values and further sends to the network entity, the compressed channel state.

公开(公告)号：US11825344B2

公开(公告)日：2023-11-21

申请号：US18054797

申请日：2022-11-11

Applicant: QUALCOMM Incorporated

Inventor： Taesang Yoo ,  Naga Bhushan ,  Pavan Kumar Vitthaladevuni ,  June Namgoong ,  Krishna Kiran Mukkavilli ,  Tingfang Ji ,  Jay Kumar Sundararajan

IPC: G06N3/04 ,  G06N3/08 ,  G06N20/00 ,  H04B7/0417 ,  H04B7/0456 ,  H04B17/24 ,  H04B17/373 ,  H04W8/24 ,  H04W24/10 ,  H04W28/06 ,  H04W36/00 ,  H04W72/12 ,  H04W84/02 ,  H04W88/02 ,  H04W88/08 ,  H04W92/02 ,  H04W92/10 ,  H04W72/566 ,  G06N3/042 ,  G06N3/045

CPC classification number: H04W28/06 ,  G06N3/042 ,  G06N3/045 ,  G06N3/08 ,  G06N20/00 ,  H04B7/0417 ,  H04B7/0456 ,  H04B17/24 ,  H04B17/373 ,  H04W8/24 ,  H04W24/10 ,  H04W36/0058 ,  H04W72/569 ,  H04W84/02 ,  H04W88/02 ,  H04W88/08 ,  H04W92/02 ,  H04W92/10

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform a measurement operation to attain multiple measurements to report to a base station. The measurements may correspond to a first number of bits if reported. The UE may compress the measurements using an encoder neural network (NN) to obtain an encoder output indicating the measurements. This encoder output may include a second number of bits that is less than the first number of bits. The UE may report the encoder output to the base station in this compressed form. At the base station, the encoder output may be decompressed according to a decoder NN. Once the base station decompresses the encoder output, the UE and base station may communicate according to the measurements determined from the decompression. In some cases, the base station may perform load redistribution based on the measurements.

公开(公告)号：US20230300850A1

公开(公告)日：2023-09-21

申请号：US18324005

申请日：2023-05-25

Applicant: QUALCOMM Incorporated

Inventor： June Namgoong ,  Taesang Yoo ,  Naga Bhushan ,  Tingfang Ji ,  Krishna Kiran Mukkavilli ,  Jay Kumar Sundararajan ,  Pavan Kumar Vitthaladevuni

IPC: H04W72/23 ,  H03F1/32 ,  H04W72/044 ,  H04L5/00

CPC classification number: H04W72/23 ,  H03F1/3247 ,  H04W72/0473 ,  H04L5/0048

Abstract: Methods, systems, and devices for wireless communications are described. A first device and a second device may communicate via a channel. The first device may generate and transmit a reference signal, which may be a distortion probing reference signal with a high peak to average power ratio. In one implementation, the first device may use the reference signal as an input for a neural network model to learn a nonlinear response of the second device transmission components. In another implementation, the second device may sample the generated reference signal, and use the samples as inputs for a neural network model to learn the nonlinear response. The first device and the second device may exchange signaling based on learning the nonlinear response, and each device may compensate for the nonlinear response when communicating via the channel.