263 results about "Channel encoding" patented technology

The present invention relates to the technical field of cross-modal image signal reconstruction. Disclosed is a cross-modal joint source-channel coding and decoding method adaptable to changeable scenarios. The method comprises: first designing a Transformer encoder-based cross-modal channel coding and decoding optimization solution, so as to achieve the performance improvement and robustness of a channel encoder and a channel decoder; then designing a cross-modal source coding and decoding optimization solution for haptic-to-image generation based on a latent diffusion model, so that under an image signal loss scenario, haptic information is used to guide image generation; and finally, incorporating transfer learning technology, so as to reduce additional training costs caused by a system facing changeable cross-modal communication scenarios such as a changeable channel signal-to-noise ratio and different transmission tasks. Under cross-modal changeable communication scenarios, the joint source-channel coding and decoding method provided in the present invention can solve the problems of the inability of a receiving end to well complete image reconstruction, and additional model training costs caused by changeable channel environments and scenarios.

Methods, systems, and devices for wireless communications are described. A wireless device may perform a probabilistic shaping procedure using a shaping rate that is selected in accordance with a rule associated with a target spectral efficiency value, a modulation order, or both. Similarly, the wireless device may perform a channel coding procedure whose coding rate is selected in accordance with the rule. The rule may correspond to a relationship between the coding rate and the shaping rate. In some cases, the wireless device may select the shaping rate and the coding rate to be predefined values based on a target spectral efficiency value. In some examples, the wireless device may select the shaping rate and the coding rate based on a threshold coding rate, a quantity of punctured nodes used in the channel coding procedure, a quantity of layers corresponding to a multi-layer transmission, or any combination thereof.

The invention relates to the technical field of communication, in particular to a satellite communication anti-interference transmission method based on a frequency hopping and spread spectrum fusion algorithm. According to the method, interference power is collected at multiple nodes, multiple sub-carrier frequencies and multiple moments to construct an interference observation tensor, interference features are extracted through low-rank tensor decomposition, and interference of each sub-carrier frequency in a future frequency hopping time slot is predicted; calculating a signal to interference plus noise ratio and capacity according to predicted interference in combination with transmitting power and noise, constructing a utility function containing a service weight and a balance coefficient, and distributing working sub-carrier frequency to each satellite communication node under concurrency constraint to generate a frequency hopping sequence; a transmitting end performs channel coding, modulation and spectrum spreading on service data and transmits the service data according to a frequency hopping sequence, and a receiving end completes synchronization, de-spreading and decoding and performs weighting processing by utilizing predicted interference. The method improves the spectrum utilization rate and the interference suppression capability, and enhances the satellite communication reliability.

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.

The invention relates to a task-oriented semantic communication-oriented adaptive source channel coding system, which belongs to the field of wireless communication, and comprises a sending end for extracting a semantic feature map for evaluation from input data through a feature extractor initialized based on a pre-training large model, executing nested quantization and arithmetic coding based on a calculated importance score, and sending the semantic feature map to a task-oriented semantic communication-oriented adaptive source channel coding system; generating a scalable semantic bit stream with importance levels; the physical layer is used for carrying out reordering and grouping according to importance levels of bit streams, a channel encoder is combined with an interleaver to realize unequal error protection of semantic matching, and encoded bits are mapped to sign bits with different fault-tolerant capabilities in a constellation diagram through division modulation; and a receiving end: recovering the semantic feature map through arithmetic decoding and nested inverse quantization. According to the invention, on the premise of keeping compatibility with a digital communication protocol stack, through distortion-driven joint rate self-adaption, the transmission effectiveness for machine tasks and human vision is obviously improved under a limited bandwidth.

A HARQ method implemented in relation to channel coding may be suboptimal in that the HARQ method does not leverage features of the source coding. For example, it makes no difference to the HARQ method whether source coding is even performed, let alone whether some portions of the compressed bits output from the source encoder have higher levels of priority, e.g. higher levels of importance to the success of the source decoding. In some embodiments, a HARQ method for source coding is provided. The HARQ method for source coding may be performed with or without channel coding. A first set of source encoded bits may be sent in a first transmission (e.g. an initial transmission), and a second set of source encoded bits may be sent in a second transmission (e.g. a retransmission) based on feedback. The feedback may be an indication of source decoding outcome.

The invention provides a robust Deep JSCC semantic communication system based on mutual information maximization, and relates to the field of semantic communication and joint source channel coding, and the system carries out semantic coding on to-be-transmitted source data according to a preset compression ratio and power constraint at a transmitting end to generate a channel input sequence; at a receiving end, performing semantic decoding on a noisy receiving signal transmitted by the additive white Gaussian noise channel to obtain reconstructed data and execute a downstream semantic task, and calculating a mutual information lower bound between channel input and the receiving signal by using a mutual information estimation module; a composite loss function fusing task loss, reconstruction loss and mutual information loss is constructed, and parameters of a mutual information estimator, a semantic encoder, a semantic decoder and a task execution module are alternately optimized through a joint training mechanism, so that the semantic encoder learns robust semantic representation with a self-adaptive compression ratio. The system does not need to depend on a discrete codebook, and the anti-noise capability of semantic features is improved through explicit maximization of mutual information.

The application relates to the technical field of decoding, and provides a source channel joint decoding method and device, electronic equipment and a storage medium, the method comprising the following steps: acquiring initialization information of a channel encoder and prior probability information of a variable node of a source decoder; determining check node information of the source decoder based on the initialization information and the prior probability information; and performing the following iterative steps, which comprise the following steps: updating soft information of the variable node of the source decoder based on the check node information and the initialization information; and performing decoding decision based on the updated soft information to determine a decoding result. The method determines the check node information of the source decoder based on the initialization information and the prior probability information, iteratively updates the soft information of the variable node of the source decoder based on the check node information and the initialization information, that is, uses the information of the source as the soft information available in the decoding process, improves the coding gain, and thus improves the accuracy of the source channel joint decoding.

The present application discloses a method and apparatus for use in a terminal and an Internet of Things device for wireless communication. The method comprises: a terminal sends a first PRDCH, OOK being used for the first PRDCH; and the terminal receives a first PDRCH, a convolutional code being used for channel coding of the first PDRCH, a constraint length of the convolutional code used for channel coding of the first PDRCH being equal to a first constraint length, and a code rate of a mother code of the convolutional code used for channel coding of the first PDRCH being equal to a first code rate. At least one of the first constraint length and the first code rate belongs to a first coding scheme, the first coding scheme belongs to a set of candidate coding schemes, and the set of candidate coding schemes comprises at least one coding scheme. The set of candidate coding schemes depends on a device type of a sender of the first PDRCH. When the set of candidate coding schemes comprises a plurality of coding schemes, the first PRDCH indicates the first coding scheme in the set of candidate coding schemes. The present application improves transmission quality.

The present application relates to the technical field of communications. Provided are a channel encoding method and apparatus, and a channel decoding method and apparatus. The reliability of encoding based on cyclic redundancy check can be improved. The channel encoding method comprises: a first communication device determining the length of a check bit sequence on the basis of the size of a payload and an information identifier of the payload; encoding the payload on the basis of the length of the check bit sequence, so as to obtain an encoded bit sequence; and sending the encoded bit sequence.

The present invention relates to a method for parametric multi-channel coding. In particular, the present document relates to an efficient method and system for parametric multi-channel audio coding. An audio coding system (500) is described which is configured to generate a bitstream (564) indicative of a downmix signal and spatial metadata for generating a multi-channel upmix signal from the downmix signal. The system (500) comprises a downmix processing unit (510) configured to generate the downmix signal from a multi-channel input signal (561); wherein the downmix signal comprises m channels, and wherein the multi-channel input signal (561) comprises n channels; n, m being integers, wherein m < n. Further, the system (500) comprises a parameter processing unit (520) configured to determine the spatial metadata from the multi-channel input signal (561). In addition, the system (500) comprises a configuration unit (540) configured to determine one or more control settings for the parameter processing unit (520) based on one or more external settings; wherein the one or more external settings comprise a target data rate of the bitstream (564), and wherein the one or more control settings comprise a maximum data rate of the spatial metadata.

The invention relates to a computing power network construction and coding scheduling method for satellite-ground semantic communication. The computing power network construction and coding scheduling method comprises the following steps: S1, constructing a computing power network consisting of an LEO satellite, a cloud server, edge equipment and terminal equipment; heterogeneous computing, communication and storage resources of nodes in the computing power network are subjected to unified abstraction and modeling; s2, coding a self-adaptive joint information source channel of computing power network node-level channel computing power double perception; the dynamic self-adaptive adjustment of the node-level semantic transmission rate along with the channel condition and the computing power state is realized; and S3, scheduling system-level resources of the computing power network, and realizing distributed and adaptive scheduling and resource collaboration of the system-level semantic tasks in the computing power network. According to the method, channel computing power double-sensing self-adaptive joint information source channel coding is provided, and dynamic self-adaptive adjustment of semantic feature transmission quantity is realized by introducing a double-sensing mechanism of channel state and equipment computing power.

The embodiments of the present application relate to the field of wireless communications, and provide a communication method and apparatus for access, which can enable access for small-bandwidth terminal devices. The method comprises: receiving a PBCH, and receiving random access information according to the PBCH. The PBCH is configured for carrying first information and second information, wherein the first information is obtained by performing rate matching on a coded bit output by channel coding, the first information indicates a time-frequency resource configured for carrying random access information, the second information is a redundant part obtained by performing redundancy coding on the first information, the total number of REs occupied by the first information and the second information is X times the number of REs occupied by the first information, and X is a positive integer greater than 1.

This application belongs to the field of channel coding technology. This application provides a WSC-assisted encoding and decoding method for PC-Polar codes. The embodiments disclosed herein can be used in any communication system employing PC-Polar codes with minimal impact on the overall design of the communication system. By assisting in the verification of multiple candidate paths, the correct path can be identified more accurately, resulting in additional coding gain compared to PC-Polar codes in simulations. The PC-Polar code is endowed with link-layer frame error detection and indication functions, allowing the system to definitively determine whether the decoding result is correct, thus enhancing the reliability of the communication system. The introduced WSC coding has low code rate loss overhead, low computational complexity, and is easy to implement in hardware, achieving a good balance between performance gain and overhead.

The embodiment of the present application discloses a kind of encoding method and codec equipment and terminal equipment of multi-channel signal, wherein, a kind of encoding method of multi-channel signal, comprising: obtaining the silence mark information of multi-channel signal, the silence mark information includes: silence enable flag, and / or silence flag;The multi-channel signal is carried out multi-channel encoding processing, to obtain the transmission channel signal of each transmission channel;According to the transmission channel signal of each transmission channel and the silence mark information generation bitstream, the bitstream includes: the silence mark information and the multi-channel encoding result of transmission channel signal.The embodiment of the present application is encoded according to the silence mark information to each transmission channel transmission channel signal to generate bitstream, considers the silence condition of multi-channel signal, so as to improve encoding efficiency and coding bit resource utilization rate.

This application provides an adaptive semantic joint source-channel coding method, system, electronic device, and storage medium. The method includes: Step S1: acquiring raw input data and real-time channel state information, wherein the real-time channel state information includes at least the signal-to-noise ratio (SNR); Step S2: using a lightweight semantic coding module to extract multi-scale semantic features from the raw input data, and incorporating the SNR embedding vector in a feature modulation manner during the coding process to obtain channel-adaptive semantic features; Step S3: using an SNR embedding and channel-adaptive attention module to adjust the attention weights of the semantic features to obtain attention features; Step S4: using a dynamic codebook generation and vector quantization module to convert the attention features into a discrete codebook index sequence; Step S5: using a joint source-channel coding module to modulate and map the codebook index sequence into complex channel symbols and transmit them.

According to example aspects of the application, an apparatus is provided that is configured to perform outer encoding of data based on an outer error correction code to obtain an outer codeword, perform inner encoding of a segment of the outer codeword based on an inner error correction code to obtain an inner codeword, wherein a codeword length of the inner error correction code is based at least in part on a channel coherence of a wireless communication channel through which the data is to be transmitted, and perform a transmission through the wireless communication channel based at least in part on the inner encoding and the outer encoding.

An acoustic remote control device and method for a bionic robotic fish, relate to underwater acoustic telemetry remote control. The device is composed of an acoustic emission module, an acoustic receiving module and a remote control terminal. The data of the remote control terminal is output to the acoustic emission module through wireless communication, the data of the acoustic emission module is output to the acoustic receiving module through acoustic communication, and the acoustic receiving module outputs control instructions to the bionic robotic fish through an RS232 serial port. The acoustic emission module is used to receive instructions from the remote control terminal through a wireless transceiver, complete channel coding, modulation and underwater acoustic signal transmission of the remote control instructions. The bandwidth of the underwater acoustic emission transducer is divided into two sub-bands B1 and B2. User instruction data is grouped by Hamming coding, information bits are sent through the B1 sub-band, and check bits are sent through the B2 sub-band. The remote control terminal receives user instructions through a remote control panel, source encodes the user instructions, and sends the encoded data to the acoustic emission module through a wireless transceiver.

The invention relates to the technical field of wireless communication and perception fusion, and provides a design method of a novel secure transceiver, which comprises the following steps: step 1, in a semantic transmitter of an ISAC base station, extracting semantic information of source data through a semantic encoder SE, and processing the semantic information through a joint source channel encoder JSCE to generate a semantic transmitting signal z; 2, judging whether an eavesdropping threat exists in the system or not, and if not, executing the step 3; if yes, executing the step 4; step 3, transmitting the semantic emission signal z to an ISAC base station and a semantic receiver of downlink user equipment UE through an SAC channel, and respectively completing a general sensing task; and step 4, installing a pluggable data encryption module behind the semantic transmitter of the ISAC base station. By constructing the security awareness semantic drive ISAC system, hardware does not need to be transformed to improve compatibility, training data and time are reduced, interruption is avoided, while the accuracy of an eavesdropper is reduced, the communication performance and signal recovery precision of a legal end are guaranteed, and the method is suitable for scenes such as the Internet of Vehicles.

The invention discloses an information transmission method and device, communication equipment and a readable storage medium, and belongs to the technical field of communication, and the information transmission method comprises the steps that first communication equipment processes to-be-transmitted first information into second information according to a first processing mode; sending second information to a second communication device; the first processing mode comprises any one of the following steps: performing channel coding on the first information to obtain third information, and mapping the third information which is not modulated into second information based on a first mapping relation; mapping the first information which is not subjected to source coding, channel coding and modulation into second information based on a second mapping relation; mapping the first information which is not subjected to source coding into third information based on a third mapping relation, and then performing channel coding and modulation on the third information to obtain second information; and mapping the first information which is not subjected to source coding and channel coding into third information based on a fourth mapping relationship, and modulating the third information to obtain second information.

The invention relates to the technical field of data transmission, and discloses a wireless self-calibration high-precision mine pressure sensor device and an accurate data transmission method thereof, and the method comprises the steps: carrying out the periodic or triggering correction of the zero point and sensitivity of a pressure sensitive part through an embedded self-calibration unit, so as to maintain the long-time measurement accuracy; in a data transmission link, a specific channel coding and error correction mechanism is used for packaging pressure data, and the pressure data is sent to a receiving end in an anti-interference modulation mode. According to the invention, negative effects of underground high-humidity and strong-vibration environments on sensor attributes and wireless signal transmission are overcome, and accurate acquisition and reliable return of mine pressure data are realized.

The invention provides a training method of a rate prediction model, a rate prediction method and a rate prediction system, relates to the technical field of communication, and is used for improving the prediction accuracy of a wireless downlink application layer rate. The method comprises the following steps: acquiring original simulation characteristics of a simulation sample; the original simulation features comprise a reference signal to noise ratio, a radio bearer channel code and a downlink application layer rate; determining a context rate priority factor based on the simulation channel sample set of the simulation sample; the context rate priority factor is used for representing the relative priority of the downlink application layer rate of the simulation sample under the similar condition of the signal-to-noise ratio of the reference signal; constructing a rate prediction feature vector of the simulation sample based on the context rate priority factor, the radio bearer channel code and the signal-to-noise ratio of the reference signal; and inputting the rate prediction feature vector of the simulation sample into a random forest regression model for training to obtain a rate prediction model which is used for predicting the rate of a downlink application layer.

The invention relates to the technical field of satellite communication, and discloses a satellite communication data transmission method for deep and far sea net cages. The method comprises the following steps: collecting net cage environment parameters, biological behavior data and equipment operation state data through a multi-modal sensor cluster deployed on a deep sea net cage, and generating an original multi-modal monitoring data set; performing adaptive data cleaning and format standardization processing on the original multi-modal monitoring data set to generate a standardized multi-modal data stream; by establishing the satellite channel state evaluation model, predicting the channel quality change in real time and dynamically selecting the optimal satellite communication protocol and channel coding scheme based on the prediction result, the problem of channel quality degradation can be sensed and avoided in real time, the continuity and reliability of data transmission are ensured, and the risk of data transmission interruption is reduced.

A semantic communication system includes a base station including a semantic encoder configured to convert data to be transmitted into semantic information and a channel encoder configured to convert the converted semantic information into a channel signal and a plurality of user equipment devices (UEs) including a channel decoder configured to receive the channel signal and decode the channel signal into the semantic information and a semantic decoder configured to decode data included in the decoded semantic information based on the decoded semantic information.

A communication method and apparatus are disclosed. In this method, first data from the application layer of a fifth device is received, and second data is transmitted. The second data is data obtained by jointly source-coding and channel-coding the third data. The third data is determined based on the first data, and the entropy rate of the third data is less than that of the first data. Joint source-coding and channel-coding may include, for example, semantic feature extraction and channel-coded data. For instance, the third data is data obtained by processing the first data, and this processing may include one of the following: decryption, entropy decoding, sequential decryption and entropy decoding, or sequential entropy decoding and decryption. This reduces the entropy rate of the data, thus enabling joint source-coding and channel-coding of the third data.

A channel coding method and apparatus. In the method, a sending apparatus performs low-density parity-check code (LDPC) coding on an input bit sequence on the basis of a first base graph that includes a first core matrix and corresponds to a first initial transmission code rate, so as to obtain a coded bit sequence, wherein the first base graph is one of N base graphs; the N base graphs further comprise a second base graph; the second base graph includes a second core matrix and corresponds to a second initial transmission code rate; N is an integer greater than or equal to 2; elements in the first base graph are zero elements and non-zero elements, and elements in the second base graph are zero elements and non-zero elements; the number of rows of the first base graph is equal to the number of rows of the second base graph, and the number of columns of the first base graph is equal to the number of columns of the second base graph; the second initial transmission code rate is less than the first initial transmission code rate; and the number of rows of the second core matrix is greater than the number of rows of the first core matrix. The method can reduce the complexity of channel coding and channel decoding.

Embodiments provide an apparatus for encoding a multi-channel signal having at least three channels. The apparatus comprises an iteration processor, a channel encoder and an output interface. The iteration processor is configured to calculate, in a first iteration step, inter-channel correlation values between each pair of the at least three channels, for selecting, in the first iteration step, a pair having a highest value or having a value above a threshold, and for processing the selected pair using a multi-channel processing operation to derive first multi-channel parameters for the selected pair and to derive first processed channels. Further, the iteration processor is configured to perform the calculating, the selecting and the processing in a second iteration step using at least one of the processed channels to derive second multi-channel parameters and second processed channels. The channel encoder is configured to encode channels resulting from an iteration processing performed by the iteration processor to obtain encoded channels. The output interface is configured to generate an encoded multi-channel signal having the encoded channels and the first and the second multi-channel parameters.

The application relates to a channel code optimization method based on a Gaussian weighted mixed approximate density evolution, and relates to the technical field of wireless communication. The method comprises the following steps: constructing a modulation system; introducing a delay module at a sending end, performing joint source and channel decoding at a receiving end, and feeding back the likelihood information of the delay bits to a demodulator; obtaining the probability distribution of the likelihood information of the outputs of each subchannel of the system, and confirming that the distribution does not satisfy a symmetric Gaussian distribution; based on the characteristics of the likelihood information of the outputs of each subchannel under the condition of a single constellation point, using a Gaussian weighted mixed approximate density evolution algorithm to analyze the decoding convergence performance, and obtaining the Gaussian weighted mixed approximate distribution of the likelihood information of the outputs of each subchannel; using the Gaussian weighted mixed approximate density evolution algorithm as an analysis tool to search and optimize, and obtaining an optimized channel code base matrix; using the optimized channel code base matrix to construct a channel encoder, and replacing the original channel code to improve the bit error rate performance of the system in a waterfall region.