-
公开(公告)号：US20210399924A1
公开(公告)日：2021-12-23
申请号：US17349744
申请日：2021-06-16
Applicant: QUALCOMM Incorporated
Inventor： Rana Ali AMJAD , Kumar PRATIK , Max WELLING , Arash BEHBOODI , Joseph Binamira SORIAGA
Abstract: A method performed by a communication device includes generating an initial channel estimate of a channel for a current time step with a Kalman filter based on a first signal received at the communication device. The method also includes inferring, with a neural network, a residual of the initial channel estimate of the current time step. The method further includes updating the initial channel estimate of the current time step based on the residual.
-
公开(公告)号：US20240144516A1
公开(公告)日：2024-05-02
申请号：US18485298
申请日：2023-10-11
Applicant: QUALCOMM Incorporated
Inventor： Gabriele CESA , Kumar PRATIK , Arash BEHBOODI
CPC classification number: G06T7/70 , G06T17/00 , G06V10/24 , G06V20/69 , G06T2207/10056 , G06T2207/20084
Abstract: A computer-implemented method for estimating a pose of an object includes receiving, at a pose estimation model, image data comprising a plurality of two-dimensional (2D) images of an object. Each 2D image of the plurality of 2D images has a different pose. The pose estimation model aligns a first 2D image of the plurality of 2D images with a second 2D image of the plurality of 2D images based on geometric properties related to the first 2D image and the second 2D image. The pose estimation model estimates a pose of the first 2D image and the second 2D image based on the plurality of 2D images and a loss associated with a common line between the first 2D image and the second 2D image.
-
公开(公告)号：US20230152419A1
公开(公告)日：2023-05-18
申请号：US18054298
申请日：2022-11-10
Applicant: QUALCOMM Incorporated
Inventor： Shreya KADAMBI , Arash BEHBOODI , Joseph Binamira SORIAGA , Max WELLING
CPC classification number: G01S5/0273 , G01S5/0027 , G01S5/0215 , G01S5/10
Abstract: Certain aspects of the present disclosure provide methods, apparatus, and systems for predicting a location of a device in a spatial environment using a machine learning model. An example method generally includes measuring a plurality of signals received from a network entity at a device. A channel state information (CSI) measurement is generated from the measured plurality of signals. Generally, the CSI measurement includes a multipath component. Positions of one or more anchors in a spatial environment are identified based on a machine learning model trained to identify the positions of the one or more anchors based on the CSI measurement. A location of the device is estimated based on the identified positions of the one or more anchors.
-
公开(公告)号：US20220272489A1
公开(公告)日：2022-08-25
申请号：US17182153
申请日：2021-02-22
Applicant: QUALCOMM Incorporated
Inventor： Farhad GHAZVINIAN ZANJANI , Arash BEHBOODI , Daniel Hendricus Franciscus DIJKMAN , Ilia KARMANOV , Simone MERLIN , Max WELLING
IPC: H04W4/029
Abstract: Certain aspects of the present disclosure provide techniques for object positioning using mixture density networks, comprising: receiving radio frequency (RF) signal data collected in a physical space; generating a feature vector encoding the RF signal data by processing the RF signal data using a first neural network; processing the feature vector using a first mixture model to generate a first encoding tensor indicating a set of moving objects in the physical space, a first location tensor indicating a location of each of the moving objects in the physical space, and a first uncertainty tensor indicating uncertainty of the locations of each of the moving objects in the physical space; and outputting at least one location from the first location tensor.
-
公开(公告)号：US20240364437A1
公开(公告)日：2024-10-31
申请号：US18584572
申请日：2024-02-22
Applicant: QUALCOMM Incorporated
Inventor： Thomas Markus HEHN , Tribhuvanesh OREKONDY , Arash BEHBOODI , Ori SHENTAL , Taesang YOO , June NAMGOONG , Akash Sandeep DOSHI , Ashwin SAMPATH , Juan Carlos BUCHELI GARCIA , Joseph Binamira SORIAGA
IPC: H04B17/309 , H04B17/391
CPC classification number: H04B17/347 , H04B17/3913
Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may obtain position information associated with a first subset of network node positions, of a set of network node positions, in connection with a map associated with a wireless coverage area. The network node may obtain map information associated with the map and may determine, based on a machine learning component, a first plurality of predicted pathloss values associated with a second subset of network node positions of the set of network node positions. Numerous other aspects are described.
-
Patent Agency Ranking
公开(公告)号：US20240144087A1
公开(公告)日：2024-05-02
申请号：US18340671
申请日：2023-06-23
Applicant: QUALCOMM Incorporated
Inventor： Fabio Valerio MASSOLI , Ang LI , Shreya KADAMBI , Hao YE , Arash BEHBOODI , Joseph Binamira SORIAGA , Bence MAJOR , Maximilian Wolfgang Martin ARNOLD
CPC classification number: G06N20/00 , H04B7/0695
Abstract: Certain aspects of the present disclosure provide techniques and apparatus for beam selection using machine learning. A plurality of data samples corresponding to a plurality of data modalities is accessed. A plurality of features is generated by, for each respective data sample of the plurality of data samples, performing feature extraction based at least in part on a respective modality of the respective data sample. The plurality of features is fused using one or more attention-based models, and a wireless communication configuration is generated based on processing the fused plurality of features using a machine learning model.
-
公开(公告)号：US20230155704A1
公开(公告)日：2023-05-18
申请号：US18054896
申请日：2022-11-12
Applicant: QUALCOMM Incorporated
Inventor： Tribhuvanesh OREKONDY , Arash BEHBOODI , Joseph Binamira SORIAGA , Max WELLING
IPC: H04B17/391 , H04L41/16 , H04L41/14 , H04B17/309
CPC classification number: H04B17/3912 , H04L41/16 , H04L41/145 , H04B17/309
Abstract: Certain aspects of the present disclosure provide techniques for wireless channel modeling. A set of input data is received for data transmitted, from a transmitter, as a signal in a wireless channel. A channel model is generated for the wireless channel using a generative adversarial network (GAN). A set of simulated output data is generated by transforming the first set of input data using the channel model.
-
公开(公告)号：US20230058415A1
公开(公告)日：2023-02-23
申请号：US17409725
申请日：2021-08-23
Applicant: QUALCOMM Incorporated
Inventor： Susu XU , Tijmen Pieter Frederik BLANKEVOORT , Arash BEHBOODI , Hossein HOSSEINI
Abstract: A method for generating an artificial neural network (ANN) model includes initializing weights of a first neural network model. The weight of the first neural network model are updated using adversarial training to approximate a function for predicting an output of a second neural network model.
-
公开(公告)号：US20250158688A1
公开(公告)日：2025-05-15
申请号：US18505966
申请日：2023-11-09
Applicant: QUALCOMM Incorporated
Inventor： Maximilian Wolfgang Martin ARNOLD , Bence MAJOR , Arash BEHBOODI , Hanno ACKERMANN , Fabio Valerio MASSOLI , Joseph Binamira SORIAGA , Fatih Murat PORIKLI
IPC: H04B7/06
Abstract: A processor-implemented method for multimodal beam management implemented by a network device includes receiving, by the network device, a stream of inputs from one or more sensors. The network device generates a digital twin modeling an environment of a region observed by the one or more sensors. The digital twin includes one or more objects detected based on the stream of inputs. The network device manages a wireless communication signal beam for communicating with at least one user equipment (UE) in the region observed by the one or more sensors based at least in part on the digital twin.
-
公开(公告)号：US20250156605A1
公开(公告)日：2025-05-15
申请号：US18506003
申请日：2023-11-09
Applicant: QUALCOMM Incorporated
Inventor： Maximilian Wolfgang Martin ARNOLD , Bence MAJOR , Arash BEHBOODI
IPC: G06F30/27 , G06N3/0464 , H04W64/00
Abstract: A processor-implemented method for learning an antenna offset for perception-aided wireless communication includes receiving a stream of inputs from one or more sensors. A dynamic segmentation mask corresponding to an object observed by the one or more sensors is generated based on the stream of inputs. A trajectory for the one or more sensors is determined based on the dynamic segmentation mask. An antenna position for the object is predicted based on the trajectory.
-
-
-
-
-
-
-
-
-
Search Results
22
records
(took 0.015 seconds)
