-
公开(公告)号：US20240314001A1
公开(公告)日：2024-09-19
申请号：US18678846
申请日：2024-05-30
Applicant: QUALCOMM Incorporated
Inventor： Srinivas YERRAMALLI , Xiaoxia ZHANG , Taesang YOO , Rajat PRAKASH
CPC classification number: H04L25/0254 , G01S3/48 , H04L25/0212 , H04W64/003
Abstract: Techniques are provide for neural network based positioning of a mobile device. An example method for measuring a channel in a wireless communication system includes: receiving reference signal information; determining one or more channel frequency responses based on the reference signal information and one or more timing hypotheses; determining one or more channel impulse responses comprising a channel impulse response for each of the one or more channel frequency responses; processing the one or more channel impulse responses with a neural network; and determining an output of the neural network.
-
公开(公告)号：US20240291693A1
公开(公告)日：2024-08-29
申请号：US18640102
申请日：2024-04-19
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
Inventor： Jianjun LI , Yang SONG , Peng SUN , Ang YANG
IPC: H04L25/02
CPC classification number: H04L25/0228 , H04L25/0254
Abstract: This application discloses a channel estimation method and apparatus, a terminal, and a network-side device. The channel estimation method includes: receiving, by a terminal, a pilot signal sent by a network-side device, where resource blocks (RBs) occupied by the pilot signal in a first time domain transmission unit and RBs occupied by the pilot signal in a second time domain transmission unit are at least partially different; and performing channel estimation on a third time domain transmission unit based on the pilot signal in the first time domain transmission unit and the pilot signal in the second time domain transmission unit.
-
公开(公告)号：US20240235899A1
公开(公告)日：2024-07-11
申请号：US18403084
申请日：2024-01-03
Applicant: YANGTZE DELTA REGION INSTITUTE (QUZHOU)
Inventor： Keke Zu
IPC: H04L25/02
CPC classification number: H04L25/0254 , H04L25/0256
Abstract: Disclosed herein is a method and a system for acquiring channel images, relating to the field of cross-integration of artificial intelligence neural network and wireless communication system. Based on data-driven artificial intelligence neural network channel estimation, the disclosure obtains a sufficient number of channel images for training the neural network. It overcomes the limitation that the traditional acquisition of channel images dependent on the types of deployed antennas and geometric dimensions, so that the artificial intelligence neural network can be effectively used for channel estimation of wireless communication systems in practice.
-
公开(公告)号：US20240235767A1
公开(公告)日：2024-07-11
申请号：US17904413
申请日：2021-09-24
Applicant: APPLE INC.
Inventor： Sigen Ye , Chunhai Yao , Chunxuan Ye , Dawei Zhang , Huaning Niu , Oghenekome Oteri , Seyed Ali Akbar Fakoorian , Wei Zeng , Yushu Zhang
IPC: H04L5/00 , H04L25/02 , H04W72/1273 , H04W72/232
CPC classification number: H04L5/0051 , H04L25/0254 , H04W72/1273 , H04W72/232
Abstract: The present disclosure relates to DMRS overhead adaptation with AI-based channel estimation. A wireless device may be configured to receive, from a network device, a downlink data transmitted using a DMRS pattern; perform an AI-based downlink channel estimation based on the downlink data, including: inputting one or more received downlink DMRS symbols included in the received downlink data to a neural network model for downlink channel estimation stored in the memory of the wireless device, to obtain, as outputs of the neural network model, an estimated downlink channel corresponding to the downlink data and an optimal downlink DMRS pattern for the estimated downlink channel; and report the optimal downlink DMRS pattern to the network device.
-
公开(公告)号：US12003351B2
公开(公告)日：2024-06-04
申请号：US18454851
申请日：2023-08-24
Applicant: Wuhan University
Inventor： Liang Chen , Zhaoliang Liu , Ruizhi Chen
CPC classification number: H04L25/0254 , H04L5/023
Abstract: The present invention discloses a method and system for multicarrier signal tracking based on deep learning and high precision positioning. Using the data characteristics of S-curve, and using S-curve which contains multipath signals as feature data for training deep learning networks under different signal-to-noise ratios. The delay regression results of receiving signal can be directly obtained by the S-curve of real-time receiving signal and the pre-trained network. The motivation of this method is to fully utilize the advantages of deep learning networks in accurately regressing complex problems with a large amount of data, fundamentally solving the impact of multipath signals on the delay estimation of the main path signal in traditional software defined receivers, extracting the corresponding relationship between the delay of main path and S-curve under the influence of different signal-to-noise ratios and different multipath signals.
-
Patent Agency Ranking
公开(公告)号：US20240106683A1
公开(公告)日：2024-03-28
申请号：US18369586
申请日：2023-09-18
Applicant: A10 Systems Inc
Inventor： Bryan Crompton , Tanay Mehta , Daniel Giger , Apurva N. Mody
IPC: H04L25/02
CPC classification number: H04L25/0254
Abstract: One or more aspects of the present disclosure are directed methods, devices and computer-readable media for receiving, at a receiver, a signal, the signal including a cover signal and an embedded co-channel anomalous signal; performing, at the receiver, signal processing on the signal to determine one or more characteristics of the signal; inputting, at the receiver, the one or more characteristics into one or more trained neural networks; and receiving, as an output of the trained neural network, a classification of the signal, the classification identifying the cover signal and the embedded co-channel anomalous signal.
-
公开(公告)号：US11750420B2
公开(公告)日：2023-09-05
申请号：US17142175
申请日：2021-01-05
Applicant: QUALCOMM Incorporated
Inventor： Hamed Pezeshki , Tao Luo , Sony Akkarakaran , Mahmoud Taherzadeh Boroujeni , Taesang Yoo , Hua Wang
CPC classification number: H04L25/0254 , H04B7/0626 , H04L5/0048 , H04W4/025 , H04W72/21
Abstract: Disclosed are techniques for determining tone patterns for transmission of reference signals. One or more parameters associated with communications with a base station over a time duration, may be determined by a user equipment. The user equipment may determine, based on the one or more parameters, a tone pattern for a reference signal for use in communications with the base station over a future time duration. The user equipment may then transmit the tone pattern to the base station. The user equipment may then receive the reference signal from the base station, over the tone patterns.
-
公开(公告)号：US11750260B2
公开(公告)日：2023-09-05
申请号：US17448226
申请日：2021-09-21
Applicant: QUALCOMM Incorporated
Inventor： Mahmoud Taherzadeh Boroujeni , Tao Luo , Taesang Yoo , Hamed Pezeshki
CPC classification number: H04B7/0634 , H04L25/0254 , H04L25/03267
Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client device may determine a feedback associated with a machine learning component based at least in part on applying the machine learning component. Accordingly, the client device may transmit a quantized value based at least in part on the feedback. The quantized value is determined based at least in part on distances between the feedback and a non-uniform set of quantized digits. Numerous other aspects are provided.
-
公开(公告)号：US20230261910A1
公开(公告)日：2023-08-17
申请号：US18164428
申请日：2023-02-03
Inventor： Jeffrey Andrews , Eren Balevi
CPC classification number: H04L25/0254 , G06N3/08 , H04B1/0003 , H04B1/40 , H04L5/0007
Abstract: Various embodiments provide for deep learning-based architectures and design methodologies for an orthogonal frequency division multiplexing (OFDM) receiver under the constraint of one-bit complex quantization. Single bit quantization greatly reduces complexity and power consumption in the receivers, but makes accurate channel estimation and data detection difficult. This is particularly true for OFDM waveforms, which have high peak-to average (signal power) ratio in the time domain and fragile subcarrier orthogonality in the frequency domain. The severe distortion for one-bit quantization typically results in an error floor even at moderately low signal-to-noise-ratio (SNR) such as 5 dB. For channel estimation (using pilots), various embodiments use novel generative supervised deep neural networks (DNNs) that can be trained with a reasonable number of pilots. After channel estimation, a neural network-based receiver specifically, an autoencoder jointly learns a precoder and decoder for data symbol detection.
-
公开(公告)号：US20230261909A1
公开(公告)日：2023-08-17
申请号：US18004839
申请日：2021-08-17
Applicant: QUALCOMM Incorporated
Inventor： June NAMGOONG , Taesang YOO , Naga BHUSHAN , Pavan Kumar VITTHALADEVUNI , Jay Kumar SUNDARARAJAN , Wanshi CHEN , Krishna Kiran MUKKAVILLI , Hwan Joon KWON , Alexandros MANOLAKOS , Tingfang JI
CPC classification number: H04L25/0254 , H04L25/03171 , G06N3/0455
Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client may select, based at least in part on a classifier, an autoencoder of a set of autoencoders to be used for encoding an observed wireless communication vector to generate a latent vector. The client may transmit the latent vector and an indication of the autoencoder. Numerous other aspects are provided.
-
-
-
-
-
-
-
-
-
Search Results
93
records
(took 0.022 seconds)
