4637results about "Channel coding adaptation" patented technology

The invention provides a dual-mode network communication method and system based on HPLC + HRF, and the method comprises the steps: carrying out the network initialization, and carrying out the initialization configuration of an HPLC module and an HRF module; data acquisition and feature extraction; training and predicting an LSTM neural network; selecting and optimizing a communication mode; dynamically adjusting the data transmission rate based on the prediction result of the LSTM neural network in combination with the current actual monitoring data; performing data transmission in the data transmission process according to the selected communication mode and data transmission rate; and data fusion and optimization: carrying out fusion processing, error correction and optimization sorting on the data from the HPLC and the HRF at a receiving end. By fusing the LSTM neural network prediction technology and the adaptive rate adjustment technology, accurate prediction of network communication link quality and intelligent optimization of the data transmission rate are realized, and the defects of the traditional network communication technology in a complex environment are effectively overcome.

Systems, methods, and instrumentalities are described herein regarding power control and link adaptation for cross-division duplex (XDD). A wireless transmit / receive unit (WTRU) may receive a grant associated with transmission of an uplink (UL) signal. The grant may indicate a first set of resource blocks (RBs). The WTRU may determine a frequency gap (FG) between the first set of RBs and a reference RB. The WTRU may adjust one or more transmit (Tx) parameters based on the determined FG. When the determined FG is less than a pre-defined threshold, the WTRU may reduce one or more of a transmit power or a modulation coding scheme (MCS) level associated with transmission of the UL signal scheduled by the grant. The WTRU may transmit the UL signal using the adjusted one or more Tx parameters.

Methods, systems, and devices for wireless communications are described. A transmitting device may receive one or more service data units (SDUs) at a layer two (L2) layer of the transmitting device. The transmitting device may encode, at the L2 layer, the one or more SDUs according to one or more network coding parameters to obtain at least one encoded protocol data unit (PDU), the one or more network coding parameters comprising a rateless code. The transmitting device may generate, for the at least one encoded PDU, at least one corresponding PDU header. The transmitting device may output the at least one encoded PDU and the at least one corresponding PDU header from the L2 layer to a lower layer of the transmitting device for transmission to one or more receiving devices.

The invention relates to a satellite-to-ground network adaptive image semantic communication method based on an NOMA technology, and the method comprises the following steps: S1, building a satellite-to-ground semantic communication frame integrated with the NOMA technology: carrying out the power superposition and serial interference elimination of different user transmission contents through the NOMA technology, a coding and decoding process is optimized through deep joint source channel coding based on hierarchical vision using a shift window; s2, establishing an adaptive semantic communication model: dynamically adjusting coding parameters based on a target bandwidth ratio and a signal-to-noise ratio of a satellite-ground channel; s3, proposing a dynamic weight adjustment algorithm: optimizing model convergence speed and transmission performance tradeoff under different channel conditions; and S4, designing a feature selection module: performing priority ranking on the image features, and selectively transmitting important features according to bandwidth resources. According to the method, the adaptive semantic communication model (ASeC-NOMA) which can be dynamically adjusted according to the target bandwidth ratio and the signal-to-noise ratio is constructed, and a large number of model storage parameters are saved while the transmission performance is ensured.

The present invention relates to a wireless communication system and, more specifically, to a method wherein resource allocation information for downlink reception or uplink transmission is acquired, and if the downlink reception or uplink transmission is required on a sub-band slot / symbol, the downlink reception or uplink transmission is performed in consideration of sub-band operations, and a wireless device therefor.

The invention discloses an end-cloud collaborative deployment method and device for a multi-modal large model, a medium and a product, and relates to the field of multi-modal large model deployment, and the method comprises the steps: a cloud side computer obtains a to-be-deployed multi-modal large model, determines an optimized coding model and a corresponding segmentation candidate point according to the to-be-deployed multi-modal large model, and transmits the optimized coding model and the corresponding segmentation candidate point to an end side computer; the end side computer obtains multi-modal data, the optimized coding model is used for coding the multi-modal data, and intermediate data and segmentation point position information are obtained; and the end-side computer compresses and packs the intermediate data and the segmentation point position information, and sends the compressed and packed intermediate data and the segmentation point position information to the cloud-side computer through a transmission path, so that the intermediate data is calculated and processed by using a processing model to obtain a calculation result, and the calculation result is sent to the end-side computer, decoded by using a decoding model and converted into an output format. And obtaining the processed multi-modal data. The method can dynamically adjust the distribution of the calculation tasks, and improves the reasoning efficiency.

The invention relates to an intelligent power grid communication optimization method based on HPLC and HRF dual-mode communication, and the method is characterized in that the method comprises the following steps: S1, obtaining power grid communication data, and carrying out the preprocessing of the data; s2, according to the preprocessed intelligent power grid communication data, a feature extractor based on a deep neural network automatically extracts two-channel time-frequency domain features, feature importance of different modes is dynamically weighted through an attention mechanism, and a unified channel state matrix CSM after fusion is obtained; s3, constructing a routing strategy model based on reinforcement learning, and obtaining an optimal path decision according to the CSM matrix, the power grid network topology and the service priority label; s4, according to the path obtained by the optimal path decision, adaptive modulation coding is adopted to obtain an optimal modulation coding scheme and a dynamic adaptive channel condition; and S5, performing communication according to the optimal modulation coding scheme and the dynamic adaptive channel condition. According to the method, the communication state sensing capability in a complex scene is remarkably improved.

Proposed are a method for performing federated learning in a wireless communication system, and an apparatus therefor. The method performed by a terminal may comprise the steps of: generating a Q-ary code including i) a restriction-based system part and ii) a parity part by coding restriction-based Q-ary information; determining, on the basis of a preset method, the number T of transmissions of the parity part of the Q-ary code; on the basis of specific channel information from among channel information between a plurality of terminals and a base station participating in the federated learning, allocating power to the system part and T parity parts; and transmitting, on the basis of the allocated power, the system part and the T parity parts to the base station.

Embodiments of this application provide a wireless communications method, a terminal device, and a network device. The method includes: repeatedly transmitting a first physical uplink control channel PUCCH to a network device in an initial access phase. In this application, a repetition of PUCCH transmission is introduced in the initial access phase.

The embodiment of the invention provides a cloud edge collaborative data processing method, system and device and a storage medium, and relates to the technical field of communication. The method comprises the following steps: extracting an intermediate feature of to-be-processed data in an edge encoder, inputting the intermediate feature into a lightweight edge decoder for decoding to obtain an edge decoding result, taking the edge decoding result as a target processing result when the feature uncertainty of the edge decoding result is less than or equal to a preset threshold, and taking the edge decoding result as the target processing result when the feature uncertainty is greater than the preset threshold. And compressing the intermediate features by using an edge compression model, and sending the compressed intermediate features to a cloud server in the cloud edge collaborative data processing system. And the cloud edge collaborative data processing model is segmented, and intermediate features with smaller dimensions are compressed, so that the amount of data sent from the edge end to the cloud end is further reduced, and the communication overhead is reduced. And a cloud edge collaborative dynamic exit mechanism is utilized to selectively compress part of data from total data for transmission, so that the data volume and the communication overhead are reduced.

A UE comprises: receiving an upper-layer parameter configuration related to CSI reporting; receiving scheduling information including resource allocation information for a PDSCH; receiving the PDSCH on the basis of the scheduling information; determining an uplink resource for the CSI reporting on the basis of the upper-layer parameter configuration and the scheduling information; and transmitting the CSI reporting in the uplink resource. The transmission of the CSI reporting in the uplink resource comprises transmitting, on the basis of a modulation and coding scheme (MCS) offset table including i) the PDSCH and ii) multiple entry values, one of the multiple entry values via the CSI reporting, wherein the multiple entry values comprise first values representing multiple MCS offsets and a second value which has failed to be mapped to an MCS offset and suspended.

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

The disclosure relates to a communication technique and system therefor for converging an Internet of Things (IoT) technology and a 5th generation (5G) communication system for supporting a high data rate after a 4th generation (4G) system. The disclosure is applicable to intelligent services (e.g., smart home, smart building, smart city, smart car or connected car, health care, digital education, retail, security, and safety services) based on a 5G communication technology and IoT-related technology. The disclosure provides a method and apparatus for uplink (UL) data repetition transmission by a user equipment (UE) in a next-generation communication system.

A wireless device may receive configuration parameters indicating a ratio threshold for selecting between rate matching and puncturing. The wireless device may receive a first downlink control information (DCI) scheduling an uplink transport block (TB) via uplink resources of the cell, and a second DCI indicating a transmission cancelation on one or more resources of the uplink resources. The wireless device may map the uplink TB to a portion of the uplink resources based on the rate matching in response to a ratio of the one or more resources to the uplink resources being equal to or greater than the ratio threshold, and the puncturing in response to the ratio being less than the ratio threshold. The wireless device may transmit the uplink TB via the portion of the uplink resources in response to the mapping.

The embodiment of the invention discloses a modulation and coding strategy indication method and a corresponding device. The present application is applied to a wireless local area network system that supports one or more of an IEEE 802.11 ax next generation Wi-Fi protocol (e.g., 802.11 be, Wi-Fi 7 or EHT), an IEEE 802.11 be next generation Wi-Fi protocol (e.g., 802.11 bn, Wi-Fi 8, UHR), a Wi-Fi AI, a millimeter wave (mmWave), an ultra wide band (UWB), and a sensing. The method comprises: generating a physical layer protocol data unit (PPDU), the PPDU comprising a first field and a second field, the first field being used for indicating a first modulation and coding policy (MCS) combination, and the second field being used for indicating the number of spatial streams corresponding to one or more MCSs in the first MCS combination; the PPDU is sent; the bit overhead can be saved.

The invention relates to a satellite link dynamic regulation and control device and method. The device comprises an upper-layer strategy scheduler, a middle-layer predictor and a lower-layer real-time controller. And the upper-layer strategy scheduler obtains a link state prediction result output by the middle-layer predictor and a current link state reported by the lower-layer real-time controller, selects an initial strategy, a dynamic regulation and control strategy or a conventional communication recovery strategy according to task requirements, and issues a link parameter configuration instruction. And a middle-layer predictor performs link state prediction by using a pre-trained random forest model based on an input feature set extracted in a historical sliding window. And the lower-layer real-time controller executes transmission power and modulation coding scheme adjustment according to the instruction, executes emergency regulation and control when the link margin is abnormal, and gradually adjusts to a conventional communication mode after the link is recovered. According to the invention, dynamic prediction and rapid adaptive regulation and control of the satellite link can be realized.

A wireless device that supports sidelink communication may transmit a sidelink transmission in a first set of one or more slots. The wireless device may measure a received signal strength indicator (RSSI) in a second set of slots, the RSSI indicative of a channel busy ratio (CBR) over a combined set of slots including both the first set of one or more slots and the second set of slots and transmit the sidelink communication based on the CBR associated with the combined set of slots.

Certain aspects of the present disclosure generally relate to techniques for selecting a base graph to be used for wireless communications. Selection can be based on a variety of factors. A base graph can be used to derive a low-density parity-check (LDPC) code used for encoding a retransmission of an original transmission. An exemplary method generally includes selecting, based on a modulation and coding scheme (MCS) and a resource allocation (RA) for transmitting a codeword, a base graph (BG), from which to derive a low density parity check (LDPC) code for use in encoding data bits in the codeword (e.g., encoding data bits of a bitstream such that some redundant bits are included in the codeword), encoding the data bits to generate the codeword using the LDPC code derived from the selected BG, and transmitting the codeword using the MCS via resources of the RA.

The invention relates to the technical field of Internet of Things communication, and provides a low-power-consumption semiconductor communication method based on Internet of Things, which comprises the following steps: acquiring temperature, electromagnetic interference intensity and signal attenuation coefficient data through a multi-mode sensor node, and generating an original environment data set; performing dynamic noise classification on the original environment data set, dividing noise levels and marking noise types; performing hierarchical processing on the data by adopting a multi-stage self-adaptive noise reduction algorithm to generate a preprocessed data set; extracting dynamic characteristic parameters of a communication channel, constructing an energy efficiency prediction model, and dynamically calculating a combination of optimal transmitting frequency, power and modulation order; generating a multi-system modulation signal, superposing a dynamic coding strategy, and adjusting the symbol block length and the error correction code density; and the receiving end analyzes the signal quality index, feeds back the signal quality index to the transmitting end to optimize the parameters and updates the energy efficiency prediction model. According to the invention, the energy efficiency ratio and the anti-interference capability of the Internet of Things communication system can be improved.

The invention relates to a power line network topology estimation method and device and computer equipment. The method comprises the following steps: sending a modulation signal, and receiving a plurality of reflection signals corresponding to the modulation signal; determining a path length set and a current topological structure according to the signal propagation time corresponding to each reflected signal; the signal propagation time is a time difference between the sending time of the modulation signal and the receiving time of the reflection signal; selecting an expansion node from the current topological structure, and updating the current topological structure according to the expansion node and the path length set; the extension nodes are unselected nodes in the current topological structure. According to the topology estimation method, the complexity and cost of system deployment are reduced through a single modem implementation method, the topology structure is updated by analyzing the expansion nodes, dynamic network changes are supported, the applicability of the topology estimation method is improved, and the efficiency of topology network management and maintenance is improved.

A base station and a user equipment (UE) may perform a dynamic waveform switching for physical uplink shared channel (PUSCH) transmissions. The base station may send a configuration for dedicated waveform switching associated with the PUSCH transmissions, and transmit, to the UE, an indication of a first waveform for transmitting the PUSCH, the indication being independent of the bandwidth part (BWP) configuration for the PUSCH. Based on the configuration for the dedicated waveform switching associated with the PUSCH transmissions and the indication of the first waveform for the PUSCH transmission, the UE may transmit the PUSCH, at least one PUSCH repetition, and at least one retransmission of the PUSCH, and the base station may receive the PUSCH, at least one PUSCH repetition, and at least one retransmission of the PUSCH.

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.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may receive a group common downlink control information transmission comprising a cross-link interference (CLI) measurement request indication. The network node may determine a channel state information interference measurement during an interference measurement occasion, wherein the interference measurement occasion is indicated by the CLI measurement request indication. Numerous other aspects are described.

Embodiments of the present application provide a communication method based on an alignment identifier (AM) and a related device, the method comprising: a first communication device sends a first alignment identifier (AM) to a second communication device, the first AM instructing the second communication device to adjust a forward error correction (FEC) mode; the first communication device receives a second AM from the second communication device, the second AM indicating that the second communication device has adjusted the FEC mode. The indication information for adjusting the FEC mode is transmitted through the AM, the AM is fully utilized, lossless information transmission based on the AM is realized, the utilization rate of the AM is improved, and the communication efficiency is improved.

The present application belongs to the technical field of communications. Disclosed are a channel sending or receiving method and apparatus, and a communication device. The channel sending or receiving method in the embodiments of the present application comprises: sending or receiving a physical sidelink control channel (PSCCH) and a physical sidelink shared channel (PSSCH), or sending or receiving the PSCCH, the PSSCH and a sidelink-positioning reference signal (SL-PRS), wherein the PSCCH is used for bearing first-stage sidelink control information, the first-stage sidelink control information is used for scheduling at least one of the PSSCH, second-stage sidelink control information and the SL-PRS, the PSSCH carries data and the second-stage sidelink control information, and the second-stage sidelink control information is used for decoding the PSSCH and / or scheduling the SL-PRS.

The invention relates to the technical field of low earth orbit satellites, and discloses a method and equipment for improving the signal-to-noise ratio of a low earth orbit satellite signal, and the method comprises the steps: carrying out the multi-dimensional signal collection and processing of a received signal of a low earth orbit satellite downlink, and obtaining a signal tensor model; executing structured decomposition based on the signal tensor model to obtain a channel factor matrix group; performing multi-stage sequential processing according to the channel factor matrix group to obtain low-orbit satellite channel state information; inputting the low-orbit satellite channel state information into an interference identification module for feature extraction and interference type analysis to obtain an interference type and probability distribution thereof; performing multi-dimensional adaptive filtering on the received signal to obtain a target signal; and performing modulation coding and beam forming parameter joint optimization on the target signal and the low-earth-orbit satellite channel state information to obtain a low-earth-orbit satellite communication link, thereby solving the problem of large fluctuation of the signal-to-noise ratio in a satellite rapid moving scene, and realizing balance of power efficiency and anti-interference performance at the same time.

The invention discloses a cross-network convergence transmission method and device based on network coding, and relates to the technical field of communication. According to the application type, selecting a coding mode to code the original data packet to obtain a plurality of to-be-transmitted data packets; determining a scheduling scheme based on the network state; according to the data transmission method and device, the coding mode is selected according to the application type, cross-network fusion transmission can be completed based on network coding, and the time delay is reduced while the bandwidth of data transmission is improved.

A method of operating a user equipment in a wireless communication system is provided. The method includes receiving, from a base station, a command to measure a reference signal received power (RSRP) of a sounding reference signal (SRS) of another UE within a time duration in which a subband full duplex (SBFD) is available; receiving, from the base station, configuration information on a measurement gap or a downlink rate-matching resource within a measurement time duration of the SRS; receiving, the SRS in the measurement gap or the downlink rate-matching resource; and transmitting, to the base station, a report message for a measurement result of the RSRP for the SRS.

The invention provides a communication segmentation learning system and method for adaptive channel compression, and a medium, and relates to the technical field of segmentation learning and communication compression. The system comprises a plurality of clients, a server side and a channel compression device arranged between the clients and the server side, the channel compression device comprises a channel sensitivity modeling module, a rate distortion adaptive compression module and a cross-client fair coordination module. In a channel sensitivity modeling module, channel importance is dynamically evaluated through intermediate layer activation value fusion; differentiated quantization and compression strategies are designed on the basis of sensitivity scores in a rate-distortion self-adaptive compression module, so that key information is reserved while communication overhead is reduced; and meanwhile, the cross-client fair coordination module realizes balanced distribution of communication resources among multiple clients through a fairness regularization and dual optimization mechanism, so that the influence of excessive compression on global convergence is avoided. According to the method, the communication efficiency and the training stability of segmentation learning in a complex heterogeneous environment are remarkably improved.

Certain aspects of the present disclosure provide a method for wireless communications at a wireless node. The wireless node may decide whether to perform probabilistic shaping based on single-bit level shaping or multiple-bit level shaping on a bit sequence of a signal. The bit sequence includes a set of bits. The wireless node may make this decision based on a modulation order and / or a modulation and coding scheme (MCS) index value. The wireless node may perform the probabilistic shaping on the bit sequence, in accordance with the decision.