220results about "Source coding adaptation" patented technology

The deep joint source channel coding method comprises the following steps: a sending end obtains a first semantic feature of a first image, and performs constellation mapping modulation on the first semantic feature to obtain a first initial constellation point; the sending end extracts semantic information of the first initial constellation point, generates a rotation angle corresponding to the semantic information, and rotates the first initial constellation point according to the rotation angle to obtain a first rotation constellation point; the sending end generates a real part interleaving matrix and an imaginary part interleaving matrix based on the first rotating constellation point and the real part and the imaginary part of the channel state information, resorts the real part and the imaginary part of the symbol sequence respectively and then recombines the real part and the imaginary part into a complex signal to obtain a first interleaving signal; the sending end transmits the first interleaved signal to a receiving end through a fading channel, and the receiving end receives a second interleaved signal; the receiving end performs semantic reconstruction decoding on the second interleaved signal to obtain a second image; or, the receiving end performs semantic classification decoding on the second interlaced signal to obtain a second image category.

The invention discloses a wireless communication method, device and equipment and a readable storage medium, and belongs to the field of communication, and the method comprises the steps that first equipment obtains target output related information, the target output related information is output related information meeting a first channel condition and / or a first quality requirement, and the target output related information is output related information meeting the first channel condition and / or the first quality requirement; the first channel condition is a channel condition for transmitting a first information source, and the first quality requirement is a quality requirement of second equipment on the first information source; the first device performs coding processing on the first information source according to the target output related information to obtain first coding information; and the first device sends the first coding information to the second device.

The invention particularly relates to a task-driven semantic communication method oriented to AUV collaborative awareness. The task-driven semantic communication method comprises the steps of semantic triple extraction, wherein a structured semantic triple is extracted from a multi-view underwater image; the semantic triad comprises an object, a relationship and an attribute; sorting the semantic triples: sorting the semantic triples based on a personalized semantic perception sorting method, and screening out the semantic triples with representativeness and difference; semantic triad compression: performing discretization coding on the screened semantic triads to generate a low-bit-rate compressed representation; semantic triple transmission: in a communication process, calculating confidence based on normalized entropy to judge whether current information is sufficient to complete a task, so as to realize dynamic suspension of communication; meanwhile, task states, historical transmission behaviors and channel conditions are comprehensively considered, an attention scheduling module is constructed, and communication nodes needing to be activated are dynamically selected based on attention scores. And efficient cooperation among multiple AUVs in a complex underwater environment is realized.

A modulation and coding scheme indication method and a corresponding apparatus in a wireless local area network system that supports one or more of a next-generation Wi-Fi protocol of IEEE 802.11ax (for example, 802.11be, Wi-Fi 7, or EHT), a next-generation Wi-Fi protocol of IEEE 802.11be (for example, 802.11bn, Wi-Fi 8, or UHR), Wi-Fi AI, a millimeter wave (mm Wave), an ultra wideband (UWB), and sensing (sensing). A method includes: generating a physical layer protocol data unit PPDU, where the PPDU includes a first field and a second field, the first field indicates a first modulation and coding scheme MCS group, and the second field indicates a number of spatial streams corresponding to one or more MCSs in the first MCS group; and sending the PPDU. This can reduce bit overheads.

A cloud-edge collaborative data processing method and system, a device, and a storage medium are provided, relating to the field of telecommunication technology. The method includes extracting, in an edge encoder, intermediate features of data to be processed, inputting the intermediate features into a lightweight edge decoder for decoding to obtain an edge decoding result; and in response to a feature uncertainty of the edge decoding result being less than or equal to a preset threshold, taking the edge decoding result as a target processing result, or in response to the feature uncertainty being greater than the preset threshold, compressing the intermediate features using an edge compression model and then sending the compressed intermediate features to a cloud server in the cloud-edge collaborative data processing system.

The present invention relates to the technical field of haptic signal generation. Disclosed is a signal-to-noise ratio adaptive haptic signal reconstruction method with joint source-channel optimization, comprising: preprocessing an image corresponding to each object and a haptic vibration signal generated by sliding; constructing a cross-modal joint encoder for generating hierarchical fusion features, constructing a cross-modal joint decoder, and inputting preprocessed training data into the constructed cross-modal joint encoder and cross-modal joint decoder for training; and inputting in pairs haptic signals and image signals under test into the cross-modal joint encoder and the optimal cross-modal joint decoder to reconstruct a target haptic signal. The signal-to-noise ratio adaptive haptic signal reconstruction method with joint source-channel optimization provided by the present invention simplifies encoding training processes, better performs modal feature fusion, improves the robustness of models to channel variations, and allows the models to exhibit higher haptic signal reconstruction stability under a wider range of signal-to-noise ratio variations.

An electronic device and a method of operating the electronic device are provided. The electronic device includes at least one processor configured to receive an input data and perform an encoding operation based on the input data to generate a first latent data, through a first neural network, perform an encoding operation based on the input data to generate a second latent data different from the first latent data, through a second neural network different from the first neural network, and generate an index data corresponding to one of the first latent data and the second latent data, and a communication device configured to transmit the index data and one of the first latent data and the second latent data corresponding to the index data to an external destination.

The invention discloses a multi-mode joint information source channel coding system for satellite-ground semantic communication. The multi-mode joint information source channel coding system comprises a joint information source channel coder and a decoder, the encoder is used for sequentially performing feature extraction, feature fusion, data cutting and phase modulation operation on input multi-modal data to generate a transmitting signal, and transmitting the transmitting signal to a ground base station through a channel; and the decoder is used for sequentially performing real and virtual part separation, data expansion, feature extraction and modal data recovery operation on the received signal so as to reconstruct multi-modal data. According to the system, public semantic information among multi-modal data can be mined, the time-varying low-signal-to-noise-ratio channel characteristics of a satellite downlink are combined, the information bottleneck theory highly related to data reconstruction quality is used as guidance to optimize a coding space, complex field transmission signals with the high compression ratio are generated in a self-adaptive mode, and the multi-modal multi-domain transmission signals are obtained. The reconstruction quality of the multi-modal data can be ensured, and the bandwidth and the energy consumption overhead of satellite communication can be remarkably reduced.

The invention discloses a semantic constellation shaping model optimization method and device, equipment and a storage medium, and relates to the technical field of digital communication, and the method comprises the steps: obtaining to-be-transmitted source data and current channel state information; performing semantic extraction on the to-be-transmitted source data according to the feature extractor to obtain semantic features; generating a constellation diagram coordinate corresponding to the current channel state information according to the constellation diagram generator; mapping the semantic feature vector to a channel symbol corresponding to the constellation diagram coordinate according to the mapper; and optimizing parameters of the feature extractor, the constellation diagram generator, the mapper and the decoder according to the channel symbols and the decoder to obtain a semantic constellation shaping optimization model. According to the method, efficient compression and transmission of semantic information are completed through channel self-adaptive constellation diagram shaping optimization, and the performance and the spectrum utilization rate of the model are improved.

A gateway device (1) according to an embodiment comprises: a communication unit (10) for establishing a wired connection with a source device (2) and establishing a wireless connection with a sink device (3) that outputs media; an interface unit (20) for receiving input from a user or outputting information to the user; and a control unit (30) for controlling the communication unit (10) and the interface unit (20). The control unit (30) may: acquire, from the sink device (3) via the communication unit (10), extended display identification data (EDID) and communication performance information about the sink device (3), the EDID including an output format of the sink device (3); acquiring, from a user via the interface unit (20), information about an environment in which wireless communication with the sink device (3) is performed; determining a current maximum transmission rate of the wireless communication with the sink device (3) on the basis of the acquired communication performance information on the sink device (3) and the acquired information on the environment in which the wireless communication with the sink device (3) is performed; determining a bit rate required to wirelessly transmit data relating to the media to the sink device (3) in an output format included in the acquired EDID in order to output the media in the sink device (3); and determining a non-transmittable format among the output formats based on the determined required bit rate and the current maximum transmission rate.

A communication method and apparatus are provided, are applied to the field of communication technologies, may be applied to a wireless local area network system supporting 802.11 series protocols such as a next-generation Wi-Fi protocol of IEEE 802.11ax like 802.11be, Wi-Fi 7, or EHT, and 802.11bn, Wi-Fi 8, UHR, Wi-Fi AI, or millimeter wave (MMW), and may be further applied to a WPAN system, a sensing system, and the like supporting UWB. A first communication apparatus generates a PPDU, and sends the PPDU. A second communication apparatus receives the PPDU, and parses the PPDU. The PPDU includes first indication information. The first indication information may indicate a first modulation scheme set and a coding rate. The first modulation scheme set is one of N modulation scheme sets obtained through classification based on W modulation schemes. Q modulation schemes in the first modulation scheme set are used to modulate the PPDU.

Embodiments of this application disclose a coding rate adjustment method and a related device. In this method, a terminal device may determine a signal strength change rate of a wireless network, and send the signal strength change rate to a first access network device. The terminal device receives a first coding rate from a media processing device, where the first coding rate is determined based on the signal strength change rate. Then, the terminal device codes audio and video data based on the first coding rate. It can be learned that the first coding rate can better reflect a current wireless network environment. The terminal device codes the audio and video data based on the first coding rate. This helps reduce a packet loss rate, to reduce a probability of communication interruption of the terminal device.

The invention provides a joint coding and decoding method and system based on 6G frame insertion semantic communication and an information source channel. The method comprises the following steps: collecting the channel bandwidth and the signal-to-noise ratio of a target video in real time, correspondingly adopting a coding rate adjustment strategy, extracting key frames of the target video according to a preset algorithm and carrying out compression processing, and carrying out coupling processing according to the coding rate adjustment strategy and the processed key frames to realize stable transmission of the target video. And monitoring a stable transmission process of a target video in a preset time period, extracting a performance index, and evaluating a transmission effect of the stable transmission according to the performance index, thereby realizing a technology of joint coding and decoding based on 6G frame insertion semantic communication and an information source channel.

Embodiments of the present disclosure relate to codec bitrate adaptation. A terminal device negotiates, with a second terminal device, a first codec bitrate supported by the first terminal device for voice communicating with the second terminal device. The terminal device receives, from the second terminal device, a second codec bitrate supported by the second terminal device for voice communicating with the first terminal device. Based on the second codec bitrate, the terminal device determines a third codec bitrate supported by the first terminal device for voice communicating with the second terminal device, the third codec bitrate being less than or equal to the second codec bitrate. In this way, the unnecessary access network bitrate recommendation (ANBR) procedure may be avoided, thereby reducing the latency of codec adaptation as well as the voice packet loss in the case of bitrate increase considering the pathloss change trend in NTN system.

The invention belongs to the technical field of digital twinning, and particularly discloses a digital twinning data transmission optimization method and system and a program product, which realize real-time intelligent adjustment of data transmission priority and improve transmission efficiency by constructing a dynamic priority algorithm based on multi-dimensional data characteristics. The accuracy of digital twin data transmission is ensured through a dual guarantee mechanism of data integrity verification and time sequence verification; dynamic balance of transmission efficiency and accuracy is realized by combining bandwidth dynamic allocation and an intelligent retransmission strategy, and the method has extremely high industrial universality; and through dynamic bandwidth allocation and an intelligent compression strategy, the utilization rate of the network bandwidth is remarkably improved, and the data transmission cost of an enterprise is greatly reduced. The industrial problems of low data transmission efficiency and poor accuracy between the physical entity and the digital twinborn body can be effectively solved, and key support is provided for deep application of the digital twinborn technology.

The invention discloses an image semantic feature and pilot signal mapping method and device based on reinforcement learning. The method comprises the following steps: acquiring important elements of semantic features of an image to be sent and a non-uniform pilot pattern of a communication system; taking the layout of the non-uniform pilot frequency pattern and the important elements as a state, taking the positions of the important elements in the non-uniform pilot frequency pattern as actions, and adopting a reinforcement learning method to establish a mapping relation between the important elements and the non-uniform pilot frequency pattern; in the reinforcement learning method, an action reward factor is calculated according to a distance reward between an important element and a nearest pilot frequency, a density reward of pilot frequency density in a range where the important element is located, and a mutual information value of the important element; according to the method, the transmission reliability of high-value semantic information is effectively improved, and the problem that semantic perception and pilot frequency distribution are disjointed in a traditional communication system is solved.

The invention provides a PDU set indication method and device and a storage medium, and is applied to the field of communication. The PDU set indication method comprises the following steps: a sending end indicates coding information corresponding to a PDU set to a receiving end; and for a data packet which is being transmitted in the PDU set, the sending end indicates the attribute information corresponding to the PDU set to the receiving end, and the coding information and the attribute information corresponding to the PDU set are used for judging whether the data packet successfully received in the PDU set meets a data decoding requirement or not. Therefore, the encoding information and the attribute information corresponding to the PDU set are provided for the receiving end of the data packet, so that the receiving end can judge whether the data packet successfully received in the PDU set meets the data decoding requirement, unnecessary data packet transmission is reduced, and the data transmission efficiency is improved.

The disclosure provides a semantic communication method and device, relates to the technical field of communication, in particular to the technical fields of large models, deep learning, image processing and the like. The specific implementation scheme is: receiving semantic extraction information of at least two to-be-spliced images transmitted by a channel; performing receiving signal processing on the semantic extraction information to obtain decoding information; performing multi-scale semantic feature extraction on the decoding information to generate a plurality of groups of semantic feature information of different scales; and obtaining a panoramic image corresponding to the to-be-spliced images based on the semantic feature information.

A method, apparatus, and system are disclosed for a host to process and transmit one or more streams having a data signal and bit clock signal over a serial channel to a receiver by detecting a count and timing location for one or more clock edge transitions in the bit clock signal with respect to a pre-negotiated duration spanning over one or multiple aggregated frames which are transmitted over the serial channel, and then coding the count and timing location with one or more corresponding data values from the data signal into a multi-bit clock phase data codeword which is inserted into one of the aggregated frame that is transmitted over the serial channel to the receiver.

This electronic device comprises one or more processors comprising processing circuitry and a memory storing instructions. The instructions, when executed individually or collectively by the one or more processors, cause the electronic device to perform the operations of: transmitting a plurality of uplink data packets encoded by a codec on the basis of a first bit rate, during a first time duration; identify the number of first retransmission uplink data packets having a first retransmission count, which is greater than or equal to a first retransmission threshold value, from among the plurality of first uplink data packets; and adjust a bit rate of the codec from the first bit rate to a second bit rate, on the basis of the number of first retransmission uplink data packets.

The application discloses a kind of bridge monitoring data storage systems based on cloud computing, specifically related to bridge monitoring technical field, including optical fiber sensing network acquisition unit, edge computing preprocessing unit, multi-modal data fusion storage module, dynamic hierarchical compression engine, fault-data correlation analysis unit and distributed cloud storage cluster.The application constructs full-link optimization system, front-end accurately captures key response, middle-end filters abnormal data to reduce invalid transmission, back-end is based on health rating dynamic compression and combined with cloud storage mechanism, so that storage efficiency is improved by more than 40%, solve storage cost and bandwidth pressure;By comparing and marking key data with knowledge graph, combined with fault-tolerant strategy, a triple protection system is constructed;Fusion index is formed by using space-time correlation, supporting multidimensional analysis, security and operation and maintenance are considered in authority control, cold and hot stratification optimizes storage cost, to provide high availability, scalable data management platform for bridge monitoring.

The application discloses a kind of array signal compression transmission and recovery method under multi-source scene, it is related to the technical field of wireless communication.The method comprises the following steps: obtaining the observation signal received by array matrix under multi-source scene, and the observation signal is compressed and transmitted to estimate, the received signal of array matrix is obtained;The received signal is transmitted to the preset signal recovery model as communication signal, and the signal recovery model includes signal iterative recovery module, denoiser module and iterative denoising module;The signal iterative recovery module carries out signal iterative recovery to the communication signal, the denoiser module carries out array parameter estimation to the communication signal in iterative recovery process, the iterative denoising module carries out parameter update according to estimated array parameter, and outputs the communication signal after parameter update.By the method of the application, the difficulty that the required calculation requirement is large caused by too many signal sources is overcome, and the signal can also be accurately recovered.

The application provides a channel environment adaptive sampling-semantic-channel coding joint optimization method and system, relates to the technical field of semantic communication, and performs semantic sampling on an image to be transmitted by a sending end to obtain a semantic sampling result; the sending end inputs the semantic sampling result into an encoder to obtain an image feature vector to be transmitted; a receiving end receives an image feature vector affected by physical channel noise and performs preprocessing; the receiving end inputs the preprocessing result into a decoder to obtain an image feature vector to be semantically reconstructed; and the receiving end performs semantic reconstruction according to the image feature vector to be semantically reconstructed to obtain a reconstructed image. In the method provided in the application, the characteristics of a signal source and a channel are combined, the semantic sampling and reconstruction are considered, the image transmission in a signal-to-noise ratio variable environment can be supported, and the reconstruction quality of the image is ensured.

This application discloses a joint source-channel encoding method and an information exchange method that are used during wireless data transmission. In the method, through information exchange between an access network, a core network, and a server, the access network can perform joint source-channel encoding on service data, and the access network can further jointly optimize a source-channel encoding parameter with reference to a channel condition, to adapt to different channel conditions of a terminal in real time, so that transmission efficiency of data during wireless transmission is high.

The present application belongs to the technical field of communications. Disclosed are a data collection method based on joint source-channel coding, and a terminal and a network-side device. The data collection method based on joint source-channel coding in the embodiments of the present application comprises: a first device inputting first information into a first artificial intelligence (AI) unit, so as to obtain second information; and transmitting the second information to a second device in a preset manner, wherein the first information comprises channel state information (CSI), the first AI unit is used for coding the first information, and the preset manner is used for adding a channel influence.

A method of channel-aware semantic coding (CASC) by a user equipment (UE) includes determining a quality level of a channel during a time period in which a video frame is transmitted over the channel, determining one or more semantic elements to be included in a semantic tile stream (STS) based on the quality level, encoding the video frame with the one or more elements of the STS, and transmitting the STS to a remote device.

The present disclosure provides a multi-user information transmission method based on a semantic base and related devices. When applied to a base station, the method comprises: determining a plurality of source information to be sent to a plurality of user terminals; performing semantic feature extraction on each source information based on a plurality of semantic feature extraction methods to obtain a first semantic feature set corresponding to each source information; rearranging a plurality of semantic features in a plurality of first semantic feature sets based on the differences between the plurality of semantic features in the first semantic feature sets to obtain a second semantic feature set; superimposing the plurality of first semantic feature sets and the plurality of second semantic feature sets to obtain a superimposed semantic feature set, and sending the superimposed semantic feature set to the plurality of user terminals. The semantic base comprises a corresponding relationship between the semantic feature extraction method and the semantic feature. The superimposed transmission of the rearranged semantic features and the unrearranged semantic features suppresses the mutual interference of semantics between different users.