691 results about "Channel correlation" patented technology

The present disclosure relates to a 5G or 6G communication system for supporting higher data transmission rates. The present disclosure relates to an operation of a terminal and a base station in a wireless communication system. Specifically, the present disclosure relates to a method for transmitting and receiving data and reference signals in a wireless communication system, and an apparatus capable of performing same According to one embodiment of the present disclosure, a method by a terminal of a communication system is provided. The method comprises the steps of: transmitting terminal capability information to a base station; receiving downlink control information (DCI) including resource allocation information related to a physical downlink shared channel (PDSCH) from the base station; and receiving the PDSCH from the base station on the basis of the resource allocation information, wherein if the terminal capability information does not indicate that the terminal supports PDSCH scheduling without scheduling constraint, the resource allocation information is determined on the basis of the scheduling constraint, wherein the scheduling constraint is a constraint on frequency resource allocation of a PDSCH related to an enhanced DMRS type.

The present invention discloses a rapid construction method and system for a wireless channel knowledge map. The present invention uses image restoration technology to construct a channel knowledge map, and, by means of recovering a corresponding pixel value in an image matrix, predicts channel knowledge of a specific position, so that channel related knowledge of a user equipment at any position in a target area can be acquired. By means of combining the similarity of an image restoration problem and a channel knowledge map construction problem, and using a Laplacian pyramid frequency band decomposition framework, an input environment map can be decomposed at different frequencies. According to the characteristics of different frequency components, a corresponding sub-network is designed for feature extraction, and finally, the channel knowledge map is reconstructed by means of inverse operation of the Laplacian pyramid. The wireless channel knowledge map construction method provided by the present invention not only implements higher construction precision at lower computational complexity, but also has strong generalization ability for various wireless communication scenarios.

The invention relates to the technical field of weighing equipment detection, and discloses a detection output method, device and equipment for weighing equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing and analog-to-digital conversion of original output signals of a plurality of weighing sensors in the weighing equipment, and obtaining synchronous digital signal data; bayesian multi-channel signal fusion and anomaly detection are carried out based on the synchronous digital signal data, and multi-channel fusion signal data and an anomaly detection identifier are obtained; performing inter-channel correlation analysis and adaptive weight distribution according to the abnormal detection identifier and the multi-channel fusion signal data to obtain a multi-channel weighted fusion result and a calibration compensation parameter; and carrying out real-time fault isolation and multi-channel working state identification on the multi-channel weighted fusion result based on the calibration compensation parameter, and generating a weighing detection result, the weight distribution can be automatically optimized according to the real-time working state and the signal quality of each weighing sensor channel, and the accuracy and the stability of the measurement of the weighing equipment are improved.

A terminal according to an aspect of the present disclosure includes: a receiving section that receives first configuration information related to a physical uplink control channel (PUCCH), second configuration information related to a physical uplink shared channel (PUSCH), and third configuration information related to uplink simultaneous transmission using multiple panels; and a control section that controls, based on the first configuration information, the second configuration information, and the third configuration information, selection related to a resource for the PUSCH and transmission of at least one of the PUSCH and the PUCCH. An aspect of the present disclosure enables UL transmission to be appropriately controlled even when the UL transmission is performed using multiple panels.

Systems, methods, and instrumentalities are described herein that may be associated with frame-based equipment (FBE) channel access in sidelink (SL) unlicensed. A wireless transmit / receive unit (WTRU) may receive configuration information that indicates a channel busy ratio (CBR) threshold. The WTRU may determine a CBR value associated with a channel in a listen before talk (LBT) band. The WTRU may compare the CBR value to the CBR threshold. The WTRU may determine a channel access parameter based on the comparison of the CBR value to the CBR threshold. The WTRU may change the channel access parameter.

Embodiments provide a transceiver [e.g., UE], wherein the transceiver is configured, in a network search mode [e.g., cell search mode], to search for a presence indicator signal, the presence indicator signal indicating a presence of a wireless [e.g., radio based] communication network [e.g., 5G / NR communication network], wherein the presence indicator signal is associated in frequency with a group [e.g., block] of channels used by the wireless communication network [e.g., for synchronization], the group of channels comprising at least two channels, wherein the transceiver is configured, upon detecting the presence indicator signal, to search for a synchronization signal [e.g., synchronization signal block, SSB] in one or more channels of the group of channels.

The invention discloses a deep forged audio detection method based on attention and double features, which comprises a training stage and a testing stage, and is characterized in that training data is acquired and preprocessed in the training stage, and a double-feature deep forged audio detection model is constructed; inputting the manual acoustic features and the original waveform features of the training data into respective detection branches for model training; attention blocks are added to feature extraction modules of the two models respectively, each attention block is composed of spatial local attention and spectrum global attention, the spatial local attention is used for focusing a local sensitive area of the features, the spectrum global attention is used for capturing cross-channel correlation between the features, namely, the long-range dependency relationship of the captured features, and the spatial local attention is used for focusing the local sensitive area of the features. Splicing, fusing and outputting the images, and inputting the images into a classification module for true and false classification; and finally, the detection model is trained in the test stage, authenticity detection of real voice and synthetic voice is completed, and high-quality deep forged audio detection is realized.

A method by which a first device performs wireless communication, and a device for supporting same. The method includes receiving, from a second device, first sidelink control information (SCI) including scheduling information about a physical sidelink shared channel (PSSCH) through a physical sidelink control channel (PSCCH), the first SCI including information related to priority, information related to frequency resource allocation, information related to time resource allocation, information related to a demodulation reference signal (DMRS) pattern, and information related to a modulation and coding scheme (MCS); receiving, from the second device, assistance information including information related to first resources and information related to a service type through the PSSCH; generating a medium access control protocol data unit (MAC PDU); selecting a sidelink (SL) resource from among the first resources based on the MAC PDU being related to the service type; and transmitting the MAC PDU based on the SL resource.

Apparatuses and methods for cross link interference measurements by low-tier UEs are described. An apparatus is configured to obtain a CLI measurement based on a set of RBs associated with a DL channel from a network node. The set of RBs includes one of (1) less than a total number of RBs configured for a signal strength CLI measurement or (2) at least the total number of RBs configured for a power CLI measurement. The set of RBs is within a CLI time period that exceeds a CLI time threshold. The apparatus is configured to activate, based on the CLI measurement, a TDD slot format associated with a TDD configuration or a communication schedule from the network node.

The invention provides a motion intention recognition control method and system based on electroencephalogram signals, and relates to the technical field of motion intention recognition. According to the method, multi-channel electroencephalogram and peripheral physiological or motion data are collected, alignment, preprocessing and frequency band division are carried out, and space-frequency-time joint representation is constructed in combination with cross-channel association and time sequence statistics; the motion intention state probability, intensity and confidence coefficient are output through a graph time sequence decoder, and self-adaption is achieved based on feature distribution alignment; incremental updating is executed under confidence driving, and error learning is avoided in combination with an error correction mechanism; asynchronous judgment is realized through double-threshold hysteresis gating, and stable switching from unintentional state to intentional state is ensured; and finally mapping the motion intention and the intensity into a control instruction of an exoskeleton or a functional electrical stimulator under safety supervision. According to the method, a complete closed-loop link from electroencephalogram signal input to execution mechanism output is formed, and recognition precision, robustness, adaptability and safety are considered.

An apparatus may include a receiver configured to receive a reference signal using a channel, a transmitter configured to transmit a representation relating to the channel, and a processing circuit configured to determine channel information based on the reference signal, generate, using a model, the representation based on the channel information, and transfer, using the receiver or the transmitter, model information to specify the model. The model information may include an identifier for the model. The model information may include structure information for the model. The model information may include information about a type of input for the model. The model information may include information about a format of input for the model. The model information may include mapping information for mapping channel information to an input of the model. The mapping information may include information for a first subband, and information for a second subband.

The invention discloses a disturbance of consciousness electroencephalogram discrimination method and system adaptive to channel deletion. According to the method, on the basis of an electroencephalogram classification model of a deep network, automatic discrimination of disturbance of consciousness (MCS and UWS) is carried out with high accuracy according to resting-state electroencephalogram energy of a patient. The model utilizes a time domain double-branch CNN module and a space-time Transform module to learn features in electroencephalogram data hierarchically; and a model architecture with variable channel dimensions is introduced, an inter-channel association learning method fusing electrode position information and a training strategy of channel random discarding are introduced, so that the model can adapt to a scene in which part of channels are missing, and the clinical applicability of the method is improved.

The invention relates to the technical field of electroencephalogram signal processing, and discloses a high-density electroencephalogram signal processing method, device and equipment. The method comprises the following steps: acquiring original data of a high-density electroencephalogram signal; calculating an inter-channel deviation variable from a time domain dimension according to the original data to obtain a first abnormal channel; quantifying the correlation of adjacent channels from the time domain dimension according to the original data to obtain a second abnormal channel; quantizing the power spectrum density and the correlation from the frequency domain dimension according to the original data to obtain a third abnormal channel; based on the first abnormal channel, the second abnormal channel and the third abnormal channel, channel classification or elimination is carried out, and the optimized high-density electroencephalogram signals are obtained. According to the method, high-density electroencephalogram signal noise information processing is carried out from multiple dimensions, a deviation variable is calculated from a time domain dimension, the correlation between adjacent channels is quantized, and an abnormal channel is identified; and quantizing channel difference indexes from the frequency domain dimension by using power spectrum density and correlation, and classifying or rejecting noise information to obtain high-quality high-density electroencephalogram signals.

The invention discloses an image fusion method based on multi-dimensional complementary features and multi-scale detail enhancement, and the method comprises the steps: calculating an edge image of a source image, and splicing the edge image with the source image in a channel dimension; enhancing feature textures and edge details by a high-frequency detail enhancement module; generating three feature maps with different scales step by step through continuous down-sampling operation; from the deepest scale, the infrared and visible light features of the hierarchy are fused through a parallel three-branch fusion module; the fused features are used for reconstructing a low-resolution fusion result, and the low-resolution fusion result is transmitted to an upper layer through up-sampling operation; and in the scale of the upper layer, the steps are repeated until a final full-resolution fusion image is generated. A parallel multi-dimensional complementary fusion network PMCFusion is set, cooperative perception and efficient integration of spatial features, channel correlation and frequency domain information are achieved through a parallel three-branch fusion module PTFM, and through cross-dimensional attention interaction, the PMCFusion can selectively enhance multi-dimensional features and achieve deep complementation.

The invention provides data collection and precoding constraints for communication channel information reporting based on artificial intelligence and machine learning. An apparatus may include: a receiver configured to receive a reference signal using a channel, and receive constraint information related to the channel; a processing circuit configured to determine channel information based on the reference signal, and generate a representation based on the channel information and the constraint information using a machine learning model; and a transmitter configured to transmit the representation.

Methods, systems, and devices for signaling for transmission configuration indication (TCI) state activation for multiple transmission reception points are described. A user equipment (UE) may receive at least one control message indicating a first set of beam configurations associated with a first downlink shared channel from a first transmission reception point (TRP) and a second set of beam configurations associated with a second downlink shared channel from a second TRP. The UE may receive downlink control information (DCI) from the first and second TRPs indicating a first beam configuration of the first set of beam configurations and a second beam configuration of the second set of beam configurations, respectively. The UE may subsequently decode a first downlink transmission from the first downlink shared channel according to the first beam configuration and a second downlink transmission from the second downlink shared channel according to the second beam configuration.

A sound signal downmix method includes an inter-channel relationship information obtaining step of obtaining an inter-channel correlation value and preceding channel information of every pair of two channels included in N channels, the inter-channel correlation value being a value indicating a degree of a correlation between input sound signals of the two channels, the preceding channel information being information indicating which of the input sound signals of the two channels is preceding, and a downmix step of obtaining a downmix signal by weighting and adding the input sound signals of the N channels, the input sound signal of each channel being weighted based on the inter-channel correlation value and the preceding channel information such that the larger a correlation with an input sound signal of a preceding channel that precedes the channel, the smaller a weight, whereas the larger a correlation with an input sound signal of a succeeding channel that succeeds the channel, the larger the weight.

In one aspect, an example method includes monitoring, by a hub station, a first channel activity level associated with a first channel of a plurality of channels within a particular frequency range. The hub station communicates with a low-energy device using the first channel. The method includes determining that the first channel activity level satisfies a threshold activity level and switching to a second channel of the plurality of channels to communicate with the low-energy device. The method includes notifying the low-energy device that the hub station switched to the second channel by sending an acknowledgement message to the low-energy device on the second channel in response to receiving a message from the low-energy device on the second channel. The message is sent to the hub station on the second channel after at least one unsuccessful attempt to send the message to the hub station on the first channel.

The invention provides a novel broadband simulation multiple correlation type microwave radiometer, and relates to the technical field of passive remote sensing detection. The system comprises a double-path correlation radio frequency front-end unit, an intermediate-frequency filtering and amplifying unit and an analog multiple correlation unit, wherein the analog multiple correlation unit comprises two analog multiple correlation channels, each analog multiple correlation channel comprises a broadband multiplication unit and an active differential filtering unit, and the broadband multiplication units are used for carrying out differential conversion on input same signals and orthogonal signals and carrying out correlation operation; and performing active differential filtering processing on the signal after the correlation operation through an active differential filtering unit, and outputting two paths of orthogonal differential parameters. The analog multiple correlation unit designed by the invention adopts a full-link differential design, including differential passive / active filtering, amplification and transmission, the design can provide amplitude twice as large as that of a single-ended signal and better linearity under the same power supply voltage, and meanwhile, the problems of direct-current drift and common-mode interference suppression are solved.

The invention discloses a photovoltaic power generation time sequence prediction method based on periodic modeling and channel interaction, and the method comprises the steps: collecting and processing the historical data of photovoltaic power generation; then, extracting a learnable periodic mode in the time sequence, and removing a periodic component to obtain a residual component; then, through reversible instance normalization, sequence embedding, a channel interaction module and a linear predictor, modeling and prediction of a residual component are completed; and finally, adding the predicted residual component and the periodic component to generate a final prediction result. Through an aggregated channel interaction strategy, the calculation complexity is reduced while the channel correlation is captured, the dependence on an abnormal channel is reduced, and the robustness and the expansion capability of the model are improved; meanwhile, by directly modeling a periodic mode in the time sequence, the capability of extracting inherent periodicity in the photovoltaic power generation time sequence data is improved, so that future power generation data is predicted more accurately; the method can be widely applied to optimal scheduling and management of a photovoltaic power generation system.

Methods, systems, and devices for wireless communications are described. Techniques described herein provide for a user equipment (UE) to determine a channel estimation associated with a downlink channel. In some examples, a network entity may determine a projection matrix and may transmit, to the UE, control signaling indicating the projection matrix. The UE may determine the channel estimation associated with the downlink channel based on the projection matrix. The UE may receive data signaling from the network entity, and the UE may demodulate the data signaling according to the channel estimation that is based at least in part on the projection matrix.

The invention discloses a cable partial discharge signal noise separation mode identification method and system, and particularly relates to the technical field of cable partial discharge detection, in a multi-cable stacking environment, partial discharge signals are synchronously collected through multiple types of sensors such as a high-frequency current sensor, an ultrasonic sensor and an electromagnetic antenna; performing band-pass filtering, wavelet denoising and multi-channel synchronous alignment on the acquired signals to suppress background noise and retain key features of partial discharge pulses; separating the mixed signals by adopting independent component analysis; calculating a decision coefficient based on an inter-channel correlation coefficient, a signal-noise power ratio and an amplitude dynamic range, and judging whether to introduce a denoising method based on deep learning; for the waveform after noise separation, executing an amplitude re-calibration process so as to correct amplitude scaling uncertainty, and extracting multi-dimensional time domain, frequency domain and phase features; and a support vector machine and other machine learning algorithms are combined to realize automatic identification of partial discharge types.

Methods, systems, and devices for wireless communication are described. A wireless device may receive an assignment of a set of resources associated with a channel, wherein the set of resources includes a first subset of resources allocated for data transmission and a second subset of resources allocated for reference signals. The wireless device may generate a first set of a plurality of channel estimates for each layer of the channel from the reference signal according to a minimum mean square estimation (MMSE) operation. The wireless device may generate a second set of a plurality of channel estimates for each layer of the channel from a non-linear two-dimensional interpolation of the channel, and may perform a refinement operation using the estimates to generate channel estimates associated with a plurality of layers.

Methods and apparatuses for reporting of time-domain channel correlation properties are provided. A method includes receiving a configuration about a CSI report. The configuration includes information about (i) M non-zero power (NZP) CSI reference signal (RS) resources for tracking, (ii) a number (K) of time-domain correlation values, and (iii) delay values τk for k=0, 1, . . . , K−1. The method further includes, based on the configuration: measuring the M NZP CSI-RS resources for tracking, determining, based on the measurement, the K time-domain correlation values, wherein a k-th correlation value is between two CSI-RS transmission occasions that are separated by one of the delay values τk, and quantizing a value for an amplitude of each of the K time-domain correlation values. The method further includes transmitting the CSI report including an indicator, for each of the K time-domain correlation values, indicating the quantized value of the amplitude.

This disclosure provides methods, devices and systems for wirelessly communicating with an unmanned aerial vehicle (UAV), the method including adopting a channel hopping sequence at a wireless device, where the wireless device includes a UAV or a networked device in direct communication with the UAV, where the channel hopping sequence includes an ordered list of a plurality of wireless channels to which the UAV and the networked device perform a synchronized switch at a plurality of predefined times, and monitoring channel quality information associated with the plurality of wireless channels. A dwell time associated with a channel of the plurality of wireless channels may be adjusted based on the channel quality information.

This disclosure provides methods, components, devices and systems for dynamic bandwidth expansion. Some aspects more specifically relate to one or more configuration- or signaling-based mechanisms according to which various wireless communication devices, such as access points (APs) or stations (STAs), may communicate via an expanded bandwidth. For example, a total available bandwidth may be divided into different wireless channels, with each wireless channel being associated with a respective basic service set (BSS) of a respective AP. A wireless communication device may establish a communication link associated with a first wireless channel (the first wireless channel being associated with a BSS bandwidth of the wireless communication device) and, in accordance with one or more criteria, may communicate via a bandwidth that includes the first wireless channel associated with the BSS bandwidth and one or more other wireless channels outside of the BSS bandwidth.

The present disclosure relates to a 5G or 6G communication system for supporting higher data transmission rates. The present disclosure relates to an operation of a terminal and a base station in a wireless communication system. Specifically, the present disclosure relates to a method for transmitting and receiving data and reference signals in a wireless communication system, and an apparatus capable of performing same According to one embodiment of the present disclosure, a method by a terminal of a communication system is provided. The method comprises the steps of: transmitting terminal capability information to a base station; receiving downlink control information (DCI) including resource allocation information related to a physical downlink shared channel (PDSCH) from the base station; and receiving the PDSCH from the base station on the basis of the resource allocation information, wherein if the terminal capability information does not indicate that the terminal supports PDSCH scheduling without scheduling constraint, the resource allocation information is determined on the basis of the scheduling constraint, wherein the scheduling constraint is a constraint on frequency resource allocation of a PDSCH related to an enhanced DMRS type.

The invention provides a channel state information feedback enhancement method and system based on bidirectional channel correlation, and the method is executed at a base station end, and comprises the steps: receiving a downlink channel state information semantic vector which is coded, compressed and quantized by a user end through a deep joint source channel; carrying out inverse quantization on the semantic vector to obtain an intermediate semantic vector; based on the intermediate semantic vector, retrieving a related historical uplink semantic vector from an uplink channel semantic knowledge base; performing fusion enhancement on the intermediate semantic vector and the retrieval result through an attention mechanism to generate an enhanced semantic vector; inputting the enhanced semantic vector into a decoder, and outputting a reconstructed downlink channel state information matrix; wherein the encoder, the enhancement module and the decoder perform end-to-end joint training optimization by minimizing a reconstruction error. According to the method, the semantics is enhanced at the receiving end by utilizing the correlation of the uplink and downlink channels, the feedback precision and the system robustness are remarkably improved, and the method is suitable for a frequency division duplex system.

A wireless transmit / receive unit (WTRU) comprises a processor configured to receive a configuration of channel correlation measurements from a network. The configuration may be associated with an aggregation group. The processor may detect a trigger to perform the channel correlation measurements, determine one or more WTRUs associated with the aggregation group to perform the channel correlation measurements, send a request to perform the channel correlation measurements to each WTRU of the one or more WTRUs associated with the aggregation group, receive a response from at least one WTRU of the one or more WTRUs associated with the aggregation group, determine a correlation of the channel correlation measurements performed by the one or more WTRUs in the aggregation group, and send a reporting message to the network or the at least one WTRU of the one or more WTRUs.