398 results about "Channel state information feedback" patented technology

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.

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.

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.

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.

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.

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.

A system, method and apparatus for wireless communications is provided. A user equipment (UE) receives one or more messages. The one or more messages include first configuration parameters for channel state information, reference signal (CSI-RS) measurement and CSI report in a first radio resource control (RRC) state. The one or more messages also include second configuration parameters for the CSI-RS measurement and the CSI report in a second RRC state. The UE transmits a first CSI report, based on the first configuration parameters, when the UE is in the first RRC state. The UE transmits a second CSI report, based on the second configuration parameters, when the UE is in the second RRC state.

Embodiments include a computer readable storage medium, a user equipment, a method and an integrated circuit that perform operations. The operations include receiving a downlink channel information (DCI) format 2_0 from a g-NodeB (gNB) connected to the 5G NR network, wherein the DCI format 2_0 includes channel occupancy time (COT) duration and a gap threshold value, determining if a nonzero power channel state information reference signal (NZP-CSI-RS) resource is valid, wherein the NZP-CSI-RS resource is valid if the NZP-CSI-RS resource is within the COT duration and if a gap between a last symbol of the DCI format 2_0 and a first symbol of the NZP-CSI-RS resource is greater than the gap threshold value.

A method of a terminal may comprise: receiving a channel state information (CSI)-reference signal (RS) from a base station; estimating source CSI between the base station and the terminal based on the CSI-RS; inputting the source CSI into an artificial intelligence (AI) / machine learning (ML) model included in the terminal to acquire original CSI of the source CSI; and performing a feedback procedure for the original CSI using an interoperable CSI feedback method between the base station and the terminal.

Methods (450, 550) and devices (110, 120) in a wireless communication system (100) enable interference mitigation using a channel state information (CSI) report including CSIs for each of one or more power configurations. A user equipment (110) receives (454) a CSI report configuration that specifies CSI reference signal resources for channel measurement, a codebook, and one or more power configurations. The power configuration indicates power level (s) for one or more groups of beams. Upon receiving (458) CSI reference signals on the configured CSI reference signal resources, the UE generates and transmits (460) a CSI report including CSI for each of the power configurations.

The invention discloses a feedback method of channel state information, a terminal and network side equipment, and belongs to the technical field of wireless communication, the feedback method of the channel state information in the embodiment of the invention comprises the following steps: the terminal determines at least one target time delay feedback associated with target multiple transmission receiving points (MTRP, MTRP) CSI to be acquired; and the terminal acquires and feeds back the target MTRP CSI based on the at least one target time delay feedback.

The invention relates to a digital semantic communication method combining learnable constellation mapping and channel adaptation, and belongs to the technical field of communication. According to the method, a semantic coding modulator is constructed, and the transition probability from an information source to a discrete constellation symbol is systematically learned, so that the problem that digital modulation cannot be differentiated is solved; a semantic coding process is dynamically adjusted based on a channel state information feedback mechanism of double attention, and an efficient matching relationship between semantic features and subcarriers is ensured. A neural network is designed to combine a multipath channel which cannot be trained but can be differentiated with an OFDM signal processing module, and end-to-end cross-layer joint optimization of the system is realized.

Channel state information (CSI) feedback in a wireless communication system is disclosed. User equipment transmits a CSI feedback signal via a Physical Uplink Control CHannel (PUCCH). If the UE is configured in a first feedback mode, the CSI comprises a first report jointly coding a Rank Indicator (RI) and a first precoding matrix indicator (PMI1), and a second report coding Channel Quality Indicator (CQI) and a second precoding matrix indicator (PMI2). If the UE is configured in a second feedback mode, the CSI comprises a first report coding RI, and a second report coding CQI, PMI1 and PMI2. The jointly coded RI and PMI1 employs codebook sub-sampling, and the jointly coding PMI1, PMI2 and CQI employs codebook sub-sampling.

The invention discloses an uplink and downlink combined wireless communication method and system based on channel semantic feature feedback. The method constructs an uplink and downlink closed-loop semantic communication architecture: a terminal side obtains a downlink channel matrix, generates a channel semantic feature vector through a channel semantic feature extraction network, inputs the channel semantic feature vector into a compression coding network to obtain a low-dimensional feedback code word, and sends the low-dimensional feedback code word to a base station side through an uplink limited feedback link; the base station side decodes and restores the low-dimensional feedback code word to obtain a reconstructed channel semantic feature vector, inputs the reconstructed channel semantic feature vector as prior information into a channel sensing sequence coding and modulation network, and generates a complex modulation signal under the condition of meeting the transmission power constraint; and the terminal side is combined with local channel information, and original data is recovered through a channel sensing demodulation network. Through joint optimization of the channel semantic feedback and the transceiver end-to-end transmission process, the channel state information feedback overhead is reduced under the constraint of limited feedback resources, and the transmission reliability and robustness in a complex channel environment are improved.

The invention discloses a channel state information feedback compression method based on a large-scale MIMO system, and the method comprises the steps: building a time and space dual-domain channel change rate quantitative index through obtaining a historical CSI matrix, and predicting a future change rate through a time convolution network; establishing a block granularity mapping function based on a prediction result, dynamically adjusting the block granularity of the CSI matrix, and generating a sub-matrix; the method comprises the following steps: aiming at the dynamic characteristics of a channel, adopting an adaptive dual-mode compression strategy, using improved Kronecker sparse representation in a dynamic scene, and using an attention-enhanced auto-encoder in a static scene; optimizing a compressed sub-matrix feedback process through a joint codebook and a closed-loop feedback mechanism; through the blocking strategy and the compression mode selection mechanism, the CSI feedback overhead is reduced, meanwhile, high-quality reconstruction and transmission of the CSI are ensured, and the method is suitable for a complex and changeable channel environment.

Example embodiments of the present disclosure provide a solution for a training approach for CSI feedback. In an example method, a terminal device receives, from a network device, a first dataset for training an encoder at the terminal device. The first dataset at least comprises a CSI data sample and a logits vector corresponding to the CSI data sample. The terminal device generates a second dataset based on the first dataset and a hard representation of the logits vector. The terminal device trains the encoder at the terminal device based on the second dataset. In this way, the performance of the UE-side encoder can be enhanced, and the model complexity of the UE-side encoder can be reduced.

The disclosure relates to a 5th generation (5G) or 6th generation (6G) communication system for supporting higher data transmission rates. A method is provided. The method includes compressing, by the base station, channel information about a primary cell on the basis of channel status information (CSI) feedback received from a terminal, performing, by the base station, CSI recovery on compressed channel information about the secondary cell on the basis of the compressed channel information, performing, by the base station, the CSI recovery, and then acquiring predicted CSI of each of the primary cell and the secondary cell, generating, by the base station, a beamforming weight for the primary cell on the basis of the predicted CSI of the primary cell, and generating, by the base station, a beamforming weight for the secondary cell on the basis of the predicted CSI of the secondary cell.