572 results about "Channel state information feedback" patented technology

Methods and apparatuses are disclosed for low overhead CSI feedback for multi-trp transmissions. In one embodiment, a method implemented in a wireless device includes receiving a configuration of a channel state information, CSI, report setting for at least K>1 non-zero power channel state information reference signal, NZP CSI-RS, resources for channel measurement and a report quantity configuration, K being an integer; receiving a CSI feedback report request for CSI measurement and feedback based at least in part on the CSI report setting; measuring channels based at least in part on the NZP CSI-RS resources; and sending a channel state information, CSI, feedback report based at least in part on: the channel measurements; and the report quantity configuration; and the CSI feedback report comprising at least one of a first CSI feedback and a second CSI feedback.

Embodiments provide for an apparatus, method and computer program product at least for training an artificial intelligence decoder using at least an input to a hypothetical artificial intelligence encoder; determining a training dataset comprising the input to the hypothetical artificial intelligence encoder and at least one of: unquantized projected channel state information feedback, or dequantized projected channel state information feedback; transmitting the training dataset to a user equipment; and determining reconstructed channel state information, using the trained artificial intelligence decoder.

The present disclosure provides communication apparatuses and methods for partial channel state information (CSI) feedback, the communication apparatus comprising: a receiver, which in operation, receives a measurement signal; circuitry, which in operation, is configured to measure CSI of the received measurement signal; and a transmitter, which in operation, transmits a report frame including information of a sub-component of the CSI.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive one or more reference signals from a plurality of transmit receive points (TRPs) associated with a network entity. The UE may transmit, to the network entity and based at least in part on the one or more reference signals, a coherent joint transmission (CJT) Type II channel state information (CSI) feedback report. The CJT Type II CSI feedback report may be based at least in part on a two-stage frequency domain (FD) basis reporting irrespective of a quantity of precoding matrix indicator (PMI) subbands. The CJT Type II CSI feedback report may be based at least in part on selecting coefficients from high-priority coefficients and excluding low-priority coefficients irrespective of coefficient strengths associated with the low-priority coefficients. Numerous other aspects are described.

An apparatus including means for receiving, from a network entity, one or more channel state information reference signals and an initial configuration for performing a channel state information feedback process; determining one or more predicted channel state information values based on the initial configuration and measurements on the received one or more channel state information reference signals; determining, based on the measurements of the received one or more channel state information reference signals and / or the determined one or more predicted channel state information values, one or more indications for reconfiguring one or more characteristics of the channel state information feedback process; and sending, to the network entity, the one or more determined indications for reconfiguring one or more characteristics of a channel state information feedback process.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. According to various embodiments of the present disclosure, a method performed by a base station in a wireless communication system may comprise: acquiring, on the basis of a CSI report in a first time period, channel information including current channel state information (CSI) from a terminal; identifying, on the basis of the channel information, a spatial domain (SD) component, a frequency domain (FD) component, and a linear combination (LC) coefficient value mapped to the SD component and the FD component used for compression; acquiring a filtered LC coefficient value on the basis of a Kalman filter, and generating predicted channel information in a second time period on the basis of the SD component, the FD component, and the filtered LC coefficient value.

A communication device for providing a channel state information, CSI, feedback in a wireless communication system includes a transceiver to receive, from a transmitter a radio signal via a time-variant, frequency-selective MIMO channel, the radio signal including downlink reference signals according to a reference signal configuration including a number of antenna ports, and downlink signals including the reference signal configuration; and a processor. The processor estimates an explicit CSI in the frequency domain using measurements on the downlink reference signals on the radio channel, selects a Doppler-delay precoder matrix (W) for a composite Doppler-delay-beam three-stage precoder, calculates either one or more of a channel quality indicator, CQI, and / or a precoder matrix indicator, PMI, and / or a rank indicator, RI, and reports to the transmitter the CSI feedback including either one or more of the CQI, and / or the PMI and / or the RI.

A base station: receives respective CSI feedback (q_1) to (q_K) from user equipments 1 to K; and determines a precoding vector for the user equipment k on the basis of the CSI feedback (q_1) to (q_K), where, k=0, . . . , K. The determining of the precoding vector for the user equipment k on the basis of the CSI feedback (q_1) to (q_K) may comprise determining the precoding vector for the user equipment k through a decoder on the basis of i) a value of the sum of CSI feedback (q_1) to (q_k−1) and (q_k+1) to (q_K) from the remaining user equipments 1 to (k−1) and (k+1) to K except for the user equipment k among the user equipments 1 to K, and ii) CSI feedback (q_k) from the user equipment k.

Disclosed in the embodiments of the present application are a channel state information (CSI) feedback method and apparatus. The method comprises: a terminal device determining, according to the length of a time domain (TD) base vector or a Doppler domain (DD) base vector and a codebook parameter, which is configured for a network-side device, codebook indication information corresponding to a data transmission layer; and the terminal device sending, to the network-side device, CSI including the codebook indication information, wherein the codebook indication information is used for instructing the network-side device to determine pre-coding matrices corresponding to different moments. By means of implementing the embodiments of the present application, it is possible to determine the length of a TD base vector or a DD base vector, so as to determine the TD base vector or the DD base vector, which is used in a codebook, by using the length, such that the TD base vector or the DD base vector is introduced on the basis of a Rel-16 or Rel-17 Type II codebook, and thus, not only can pre-coding corresponding to different moments be determined, but redundant configuration of a codebook parameter or redundant reporting of the codebook parameter can also be avoided, thereby reducing signaling overhead.

Disclosed are a channel state information feedback method, a terminal and a network side device, belonging to the technical field of wireless communications, the channel state information feedback method of the embodiment of the present application comprising: a terminal obtaining at least one first type of CSI information and at least one second type of CSI information by using at least one reference signal; the terminal feeds back a CSI report comprising at least one piece of CSI information to the network side equipment, and the at least one piece of CSI information comprises at least one of the following information: at least one piece of first type CSI information and at least one piece of second type CSI information.

The invention relates to a low-complexity multi-user hybrid precoding method and system and a storage medium, and belongs to the technical field of wireless communication. According to the method, a hybrid precoding system model is established based on a millimeter wave broadband multi-user communication scene, a steering vector is constructed through channel state information feedback or direction of arrival estimation, an analog precoding matrix is initialized, an equivalent channel is further constructed in combination with channel feedback information, singular value decomposition is carried out, and a digital precoding matrix is generated. And the precoding structures of the receiving end and the transmitting end are iteratively optimized under the constant modulus constraint. The system comprises a modeling module, a steering vector initialization module, a digital pre-coding module and a pre-coding optimization module, and all the modules work cooperatively to realize low-complexity pre-coding design. According to the method, the precoding calculation complexity in a multi-user broadband system is effectively reduced, the stability of precoding design and the spectrum utilization efficiency are improved, and the method has good robustness and engineering realizability and is suitable for a next-generation wireless communication system.

The invention discloses a channel state information feedback method and a related product. The network equipment sends first indication information; and the terminal equipment sends second indication information according to the first indication information, and the second indication information is used for indicating the X groups of base vectors. The first indication information is used for indicating the P groups of base vectors, the X groups of base vectors belong to the P groups of base vectors, and only the base vectors for representing the feature subspace beams need to be selected from limited base vector groups, so that the base vector indication overhead for representing the feature subspace beams is reduced, and meanwhile, the processing complexity is reduced; or the first indication information is used for indicating K base vectors, K is a positive integer greater than or equal to 1, each group of base vectors in the X groups of base vectors comprises M base vectors, the M base vectors belong to the K base vectors, and M is less than or equal to K. As the network equipment is configured with more base vectors, a certain selection space is provided for the terminal equipment, and the compromise of report overhead and feedback precision can be realized.

Provided are a method and a device for channel state information, terminal, and network side, and a storage medium. The method includes: receiving beamformed CSI-RSs, or the beamformed CSI-RSs and frequency domain basis vector indication information transmitted by a network side by means of antenna ports, where beams used in beamforming are determined based on spatial domain basis vectors or based on the spatial domain basis vectors and frequency domain basis vectors, and the spatial domain basis vectors and the frequency domain basis vectors are determined based on an uplink channel; determining port indication information and a port combination coefficient for data transmission based on the beamformed CSI-RS or the beamformed CSI-RS and the frequency domain basis vector indication information; and feeding back the port indication information and port combination coefficient to the network side for determining precoding of downlink transmission data at the network side.

Apparatus and methods are provided for TRP mapping configuration when a user equipment (UE) communicates with a plurality of transmission and reception points (TRPs). For multiple TRP (multi-TRP) coherent joint transmission (CJT) channel state information (CSI) reporting, a channel measurement resource (CMR) configuration may use CSI-RS port splitting, CSI-RS resource set splitting, or multiple CSI-RS resource sets.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, a transformer configuration that includes a transmitter neural network configured to be used to generate at least one latent vector corresponding to one or more channel state information (CSI) feedback tasks of a plurality of CSI feedback tasks associated with a transformer-based cross-node machine learning system, and transmit the at least one latent vector based at least in part on instantiating the transmitter neural network. Numerous other aspects are described.

The invention discloses a CSI (Channel State Information) feedback method and system based on deep learning, belongs to the technical field of communication, and aims to solve the technical problems of low recovery precision, reduced frequency efficiency and huge uplink bandwidth consumption of CSI feedback in a large-scale MIMO (Multiple Input Multiple Output) system. Comprising the following steps that a channel state information feedback model TCMRNet is constructed and trained, the TCMRNet comprises an encoder and a decoder, LSTM network units and convolution layers with different convolution kernel sizes are introduced into the encoder and the decoder, the output end of each convolution layer is connected with a batch normalization layer, and the output end of each convolution layer is connected with an LSTM network unit; the encoder is used for carrying out multi-resolution feature extraction and time correlation analysis on input channel state information and compressing extracted features into feature vectors to be output, and the decoder takes the feature vectors as input and is used for decompressing the feature vectors, recovering the channel state information and outputting reconstructed channel state information; and performing time domain transformation on the reconstructed channel state information.

Methods, network node and wireless device for dynamic Channel State Information (CSI) reconfiguration, for example codebook reconfiguration, are disclosed. According to one aspect, a method in a network node includes signaling a first set of CSI feedback generation configuration parameters and a second set of CSI feedback generation configuration parameters by higher layer signaling, such as radio resource control (RRC) signaling. The method also includes signaling an updated set of CSI feedback generation configuration parameters to update the second set of CSI feedback generation configuration parameters by control signaling, such as at least one of downlink control information (DCI), and at least one medium access control (MAC) control element (CE).

Joint denoising and compression of channel state information (CSI) feedback may be performed. An example device may include a processor configured to perform one or more actions. The device may receive configuration information that indicates a latent mode of operation and an encoder model. The device may receive CSI reference signals from a network node. The device may generate an estimated channel matrix based on the CSI reference signals. The device may generate a latent representation of the estimated channel matrix based on the latent mode of operation and the encoder model. The device may send the latent representation of the estimated channel matrix to the network node.

Method performed by a UE for providing a channel state information (CSI) feedback in a wireless communication system including at least the UE and a gNB or a radio network node. The UE is operative to: estimate the MIMO channel between the gNB and the UE based on received DL reference signals for the configured resource blocks. The UE is further operative to calculate, based on a performance metric, a precoder matrix, for a number of antenna ports of the gNB and configured subbands, the precoder matrix being based on two codebooks and a set of combination coefficients for complex scaling / combining one or more of vectors selected from a first codebook and a second codebook, and the UE is operative to report a CSI feedback and / or a PMI and / or a PMI / RI, to the gNB, used to indicate the precoder matrix for the configured antenna ports and resource blocks.

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.

Logic may determine a precoder matrix indicator (PMI). Logic may pre-process the channel matrix to generate an input matrix for an encoder neural network (NN). Logic may infer a set of PMI bits with an encoder NN based on an input matrix. Logic may cause a set of PMI bits to be transmitted in a channel state information (CSI) report via an interface. Logic may decode a communication including a CSI report from another station, a set of PMI bits generated via an encoder NN and received via an interface. Logic may parse the set of PMI bits from the CSI report. And logic may infer, via the decoder NN, a precoding matrix based on the set of PMI bits.

The invention discloses a near-field channel state information feedback method under a super-large scale array based on Transform, which comprises the following steps: in a downlink XL-MIMO system in a near-field area, a user side performs two-dimensional matrix processing on acquired CSI data and transmits the processed CSI data to a coding end; two-channel coding compression is carried out on the CSI matrix, a first channel uses an encoder to extract channel related characteristics, and a second channel enables an original CSI matrix to pass through a linear network so as to reserve original information; compressing the output of the two channels, and splicing to generate a low-dimensional code word to be fed back; the base station side decoding end splits the low-dimensional code word and decompresses the low-dimensional code word of the corresponding channel; decompressed dual-channel code words are respectively input to two ends of a decoder; and carrying out size change on the output of the decoder to obtain the estimated original CSI. According to the method, angle and distance information of a near-field channel is fully utilized, and efficient CSI compression and high-precision reconstruction are realized.

Methods and apparatus are provided machine learning (ML) based channel state information (CSI) feedback from a user equipment (UE) to a wireless network. For a neural network (NN) model type and an approach for deriving CSI for multiple rank CSI feedback, the UE reports one or more feedback size in a UE capability message to the wireless network. For the NN model type and the approach, the UE processes a configuration from the wireless network of a plurality of NN models associated with the one or more feedback size. The UE processes an overhead allocation for the one or more feedback size and generates the multiple rank CSI feedback using different NN models of the plurality of NN models, per spatial layer or spatial layer group or rank, based on the overhead allocation.

The invention relates to the technical field of communication navigation, and particularly discloses an RSMA-based communication and navigation integrated signal positioning method, which comprises the following steps of: performing time service synchronization on a base station by using a navigation satellite, and acquiring navigation positioning information required by a user side by the base station; rSMA coding is carried out on the information at the transmitting end of the base station, and communication and navigation integrated signals are generated and comprise a public flow and a private flow; the transmitting end of the base station performs distribution according to the power of the public flow and the private flow, and broadcasts the communication and navigation integrated signal to the user side; the user side receives the communication and navigation integrated signal to obtain required positioning information; the user side feeds back channel state information in the private stream in the received communication and navigation integrated signal to the base station, and the base station adjusts the power distribution proportion of the public stream and the private stream according to the fed back CSI information and broadcasts the communication and navigation integrated signal to the corresponding user side again; and the user side demodulates the received corresponding private stream to obtain the required communication information.

A wireless transmit / receive unit (WTRU) and a network (NW) may perform end-to-end training of an artificial intelligence (AI) or machine learning (ML) model for channel state information (CSI) feedback. The NW may generate training data for the training using a set of one or more seed values. The WTRU may be aware of the seed values and may use them to generate ground truth data, which can be used to determine the value of an end-to-end error and / or loss function. The WTRU and the NW may compute or approximate derivatives of the loss function and may send one another the derivatives. The WTRU and the NW may utilize the derivatives to update one or more AI or ML models.

Systems and methods for reliable Channel State Information (CSI) feedback towards multiple Transmission / Reception Points (TRPs) are provided. In some embodiments, a wireless device receives a configuration for one or more of: Semi-Persistent CSI (SP-CSI) reporting on PUCCH comprising a first PUCCH resource; SP-CSI reporting on PUSCH comprising a reporting periodicity and slot offset; and periodic CSI reporting on PUCCH comprising a second PUCCH resource activated with a third and a fourth spatial relations or uplink TCI states, and a reporting periodicity and slot offset. The wireless device also receives an appropriate activation command and transmits SP-CSI in a PUCCH resource; a periodic CSI in a PUCCH resource; and / or a SP-CSI in a PUSCH resource. In this way, reliability of SP-CSI on PUSCH, or SP-CSI on PUCCH, or periodic CSI on PUCCH can be improved by repeating the SP-CSI or periodic CSI over multiple TRPs.

A channel state information feedback method includes: a terminal receives first indication information from a network device, and the terminal sends channel state information to the network device. The first indication information is used to indicate a type of a right multiplication matrix in a first codebook, and the first codebook satisfies a formula (I). W is the first codebook, W1 is a port selection matrix, (II) is a linear superposition coefficient matrix, Wf is the right multiplication matrix, and (III) is a conjugate transpose of Wf, and is used by the terminal to determine the channel state information based on the first codebook. According to the method, when there are a plurality of codebooks, the codebook used by the terminal to obtain the CSI can be clearly indicated.

The present disclosure is to perform multiuser precoding in a wireless communication system. A method of operating a device for performing multiuser precoding in a wireless communication system may comprise transmitting configuration information related to channel state information (CSI) feedback to candidate devices, transmitting reference signals corresponding to the configuration information, receiving CSI feedback signals from the candidate devices, determining precoding vectors for participating devices that are at least part of the candidate devices, performing precoding for data to the participating devices using the precoding vectors, and transmitting the precoded data. The participating devices may be determined based on information including magnitude values of precoding vectors for the candidate devices determined by a decoder neural network based on the CSI feedback signals generated by an encoder neural network.

This disclosure provides systems, methods and apparatuses for compensating for propagation delays and / or Doppler shifts that may affect signals transmitted by transmit and receive points (TRPs) located at different distances and directions from a user equipment (UE) 110. A network entity 120 configures signals for time and frequency offset measurement (306). The network entity or the UE measures the time and / or frequency offset for each TRP based on the configured signals (312). The network entity provides TCI states that inform the UE whether the network entity will pre-compensate for time and / or frequency offsets for different TRPs prior to coherent joint transmission to the UE (314). The network entity transmits CSI-RSs based on the indicated TCI states (316). The UE transmits CSI feedback that includes QCL parameters calculated based on the received CSI-RSs and whether the network entity has indicated it will perform pre-compensation for time and / or frequency offsets (320).

Methods, systems, apparatuses, and computer program products are provided for Givens rotation (GR) matrix parameterization pre-processing for channel state information feedback enhancement in a communication network. In this regard, channel measurement data related to a user equipment is transformed into Givens rotation (GR) matrix parameter data. Additionally, the GR matrix parameter data is encoded using at least one artificial intelligence (AI) model to generate channel state information (CSI) feedback data associated with the channel measurement data.