15results about How to "Reduce Feedback Overhead" patented technology

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 application discloses a high-efficiency beam training method, device, medium and product under near field communication, relates to the technical field of communication, and comprises the following steps: selecting code words from the first layer of a stage one codebook according to the index of optimal code words; finding out the optimal code words from the selected code words and updating the index; feeding back the updated index to a base station; determining whether the first cycle parameter is greater than the first maximum cycle parameter, executing the above steps when the first cycle parameter is greater than the first maximum cycle parameter, and setting the second cycle parameter otherwise; selecting code words from the first layer of a stage two codebook according to the index of the current optimal code words; finding out the optimal code words from the selected code words and updating the index; feeding back the updated index to the base station; determining whether the second cycle parameter is greater than the second maximum cycle parameter, outputting the code word at the optimal code word index after updating when the second cycle parameter is greater than the second maximum cycle parameter, and returning to execute the above steps otherwise. The application can effectively improve the reachable rate performance in near field communication and significantly reduce the training and feedback overhead.

The present invention provides a reliable transmission method for underwater acoustic network data based on online fountain codes. The dynamic parity sequence coding method proposed in the establishment stage realizes the expansion of basic components through rule coding, reduces the number of interconnected components, and thus reduces the number of coding packets and the number of feedbacks required in the completion stage. In the completion stage, the sending of invalid coding packets is avoided as much as possible, and the receiving party's interconnected components are determined by updating the receiving party's decoding diagram, and representative data packets are screened from each component and fed back to the sender. The present invention effectively reduces the number of invalid coding packets sent in the completion stage, thereby reducing the decoding overhead in the completion stage; it also reduces the feedback overhead of the online fountain code, and can realize reliable transmission of data packets with low overhead in underwater acoustic networks with limited bandwidth and energy consumption, reducing the overall decoding overhead, improving the efficiency of data packet transmission in the underwater acoustic network, improving the decoding efficiency, and reducing the overall overhead.

The invention discloses a feedback method of a precoding matrix indicator, a terminal and network side equipment, and belongs to the technical field of wireless communication, the feedback method of the precoding matrix indicator in the embodiment of the invention comprises the following steps: the terminal obtains a plurality of PMIs; the terminal feeds back a CSI report to a network side device based on the plurality of PMIs; wherein the CSI report is associated with the plurality of PMIs, and at least a part of target PMIs in the plurality of PMIs share a target non-zero coefficient indication in the CSI report.

A method by a wireless device includes receiving configuration information from a network node, the configuration information enabling hybrid automatic repeat request acknowledgement (HARQ ACK) and / or negative acknowledgement (HARQ NACK) feedback for a first set of HARQ processes and disabling HARQ ACK and / or HARQ NACK for a second set of HARQ processes. The wireless device constructs a first HARQ codebook of a first type based on a first set of HARQ process numbers of the first set of HARQ processes for which HARQ ACK and / or HARQ NACK feedback is enabled and sends HARQ ACK and / or HARQ NACK feedback based on the first HARQ codebook to the network node.

An embodiment of the present invention provides a channel state information reporting method, which is performed in a system having a central controller, multiple transmission and reception points TRP, and multiple user equipment in a cloud radio access network CRAN. The embodiment of the present invention uses the macro diversity of CRAN to solve the difficulty of CSI feedback in a large antenna system. The base station estimates the channel autocorrelation coefficient and the large-scale channel fading coefficient, and obtains a CSI feedback configuration for the user equipment. Each user equipment reports or does not report CSI feedback according to the configuration, and the base station predicts the CSI not reported by the user equipment.

This application discloses a channel state information (CSI) feedback method, system, electronic device, and readable storage medium. The method includes: measuring initial channel state information with a network device and converting the initial channel state information into a two-dimensional grid representing positions in a target dimension; the target dimension includes angular and temporal domains; extracting sparse semantic feature information from the two-dimensional grid, the sparse semantic feature information including at least the position information of the main propagation path in the two-dimensional grid, the main propagation path including several propagation paths determined based on the most energetic propagation path; and sending the sparse semantic feature information to the network device, so that the network device reconstructs the initial channel state information based on the sparse semantic feature information. This technical solution can reduce the occupation of uplink channel resources, ensure good reconstruction results in different types of scenarios, and enhance the generalization ability of the CSI feedback process.

The present invention discloses a 6G near-field non-stationary channel space-time joint extrapolation method based on deep learning, which obtains partial spatial domain channel state information at a historical moment; wherein the partial spatial domain channel state information is incomplete channel state information; the partial spatial domain channel state information is input into a space-time joint channel extrapolation model, and the complete spatial domain channel state information at a future target moment output by the space-time joint channel extrapolation model is obtained; wherein the space-time joint channel extrapolation model includes a LSTM module and a generator connected in series; the present invention determines the partial spatial domain channel state information at a future target moment according to the partial spatial domain channel state information at a historical moment through an LSTM module, and then generates the complete spatial domain channel state information at the future target moment through a generator, thereby realizing the extrapolation from the partial spatial domain channel state information at a historical moment to the complete spatial domain channel state information at a target moment, and reducing the pilot overhead and feedback overhead during system channel estimation.

The application discloses a channel information compression feedback method of an asymmetric network structure. First, a two-dimensional Fourier transform is used to convert a channel state information (CSI) matrix in a space-frequency domain to an angle-delay domain, then a complex matrix is split into two real number sub-matrices and spliced, and the value range of the CSI matrix is adjusted; a coding network extracts a feature map and a position map of the CSI through an amplitude pooling module, and fuses the feature map and the position map into a feedback code word through a position embedding module; a decoding network extracts a feature map and a position map from the received code word, restores a rough CSI through an inverse pooling layer, and finally further improves the accuracy of CSI reconstruction through a feature fine-tuning network. The application introduces a pooling structure at an encoder end, introduces trainable network parameters only at a decoder end, removes the network trainable parameters at the encoder end through the asymmetric network structure, and introduces a residual compression excitation network, so that the CSI recovery accuracy can be effectively improved.

The invention provides a beam forming adjustment assisting method and device, and relates to the technical field of communication, and the beam forming adjustment assisting method comprises the steps that first equipment sends a compressed beam forming report to second equipment; wherein the compressed beam forming report comprises first compressed beam forming information obtained based on a preset hybrid precoding algorithm, and the first compressed beam forming information is used for assisting beam forming adjustment. The invention provides an auxiliary method suitable for beam forming adjustment of a Massive MIMO system in a future Wi-Fi system, first compression beam forming information is obtained through a hybrid precoding algorithm to assist a second device in beam forming adjustment, and compared with a full-digital precoding mode, the hybrid precoding algorithm has the advantages that the beam forming adjustment efficiency is improved, and the beam forming adjustment efficiency is improved. The method is more suitable for a system with a large bandwidth or a large number of antennas, and can effectively reduce the feedback overhead and calculation complexity of the system.

The embodiment of the invention provides a channel state information feedback method, a terminal, network equipment and a storage medium. When the method is applied to the terminal, the method comprises the following steps: obtaining a first downlink channel correlation coefficient matrix of a downlink channel; generating a first amplitude matrix used for representing a downlink channel amplitude correlation coefficient and / or a first phase matrix used for representing a downlink channel phase correlation coefficient according to the first downlink channel correlation coefficient matrix; compressing the first amplitude matrix by using a first amplitude encoder to obtain a first amplitude bit stream, and / or compressing the first phase matrix by using a first phase encoder to obtain a first phase bit stream; and sending the first amplitude bit stream and / or the first phase bit stream to network equipment. According to the embodiment of the invention, the channel feedback overhead can be reduced on the basis of guaranteeing the channel recovery precision by utilizing the reciprocity of the amplitude and the phase.

The embodiment of the invention provides a limited feedback-based channel estimation method for an MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) system, which is applied to a base station end and used for estimating a downlink channel state, and comprises the following steps: S1, acquiring a preset vector quantization codebook for the MIMO system, the code vectors comprise a plurality of code vectors used for representing different pilot frequency receiving signal vectors and an index value of each code vector; s2, pilot signals are sent to the multiple user sides, signals fed back to the base station side by the multiple user sides according to pilot receiving signals of the user sides are received, and the fed-back signals are index values of code vectors most similar to quantization vectors of the pilot receiving signals searched by the user sides from the vector quantization codebook; s3, obtaining an estimated quantization vector of the pilot frequency receiving signal according to the vector quantization codebook and a signal fed back by each user side; and S4, performing channel estimation according to the estimation quantization vector by adopting a preset estimation mode to obtain a downlink channel state information matrix correspondingly estimated by each user side.

This application provides a method, apparatus, electronic device, storage medium, and product for data retransmission. The method includes: receiving control information and service data sent by each wireless mesh network node, wherein each node is a neighbor node of a target node; detecting the service data of each node based on the control information of each node; generating Hybrid Automatic Repeat Request (HARQ) feedback information for each node, wherein the HARQ feedback information is ACK or NACK; and then the target node sends the HARQ feedback information of each node through the Physical Downlink Control Channel (PFSC), so that each node determines whether to retransmit the corresponding control information and service data based on the corresponding HARQ feedback information. This method reduces the feedback overhead caused by transmission via the PSFCH.

The invention discloses a channel information compression feedback method and system based on a large language model. The method comprises the steps that firstly, a channel state information compression feedback task is reconstructed into a mask lexical element prediction task aligned with the function of the large language model; then, an information theory mask selection strategy based on self-information is designed, channel state information elements with the highest self-information are recognized and screened out at a user side to serve as visible lexical elements to be fed back, elements with the low self-information serve as masked lexical elements, and therefore the prediction accuracy of the large language model is maximized; and the base station end reconstructs complete channel state information representation according to feedback visible lexical elements through context reasoning by utilizing the strong modeling capability of a large language model. According to the method, the user side only needs to deploy a lightweight network, the calculation complexity is mainly concentrated on the base station side, the limitation of a traditional small model on the channel state information reconstruction precision is effectively broken through, and the communication rate in a multi-user multi-input multi-output scene is remarkably improved.

This application provides a channel information feedback method and a communication apparatus. The method includes: A terminal device receives configuration information sent by a network device, where the configuration information is used to configure a feedback mode of channel information; and the terminal device feeds back current channel information to the network device when the feedback mode configured by using the configuration information is a first mode; or the terminal device feeds back predicted channel information to the network device when the feedback mode configured by using the configuration information is a second mode. Based on the method provided in this application, channel information feedback requirements in different scenarios can be met. In particular, a problem that data transmission performance deteriorates because channel information expires in a moving scenario can be resolved by feeding back the predicted channel information. This helps improve system performance.