3282results 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.

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.

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.

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.

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.

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.

The invention discloses a resource allocation digital semantic communication system and method based on semantic importance guidance, and relates to the technical field of wireless communication, and the system comprises a semantic encoder module, a semantic importance module, a resource allocation module and a semantic decoder module. The semantic encoder module is used for performing semantic feature extraction on the source data; the semantic importance module is used for calculating feature importance weights of different features according to the extracted semantic features, and obtaining a semantic feature data stream with importance tags according to the semantic features and the feature importance weights; the resource allocation module is used for determining power allocation of each semantic feature data stream with an importance label and an allocation strategy of subcarriers based on feature importance weights of different features; and the semantic decoder module is used for carrying out semantic reconstruction on the source data. According to the invention, the most critical information can be transmitted preferentially in a complex communication environment, so that the reliability and efficiency of the whole system are improved.

Signaling that indicates information associated with variable length source coding at a first communication device is communicated between a first communication device to a second communication device in a wireless communication network. Variable length source coded data to which channel coding has been applied is also transmitted by the first communication device to the second communication device, and received from the first communication device by the second communication device. This type of source coding approach may be particularly useful for low entropy signals.

A method of decoding a received communication signal is provided. The method may comprising converting the received communication signal to the frequency domain to provide frequency domain data. The method may further comprise combining amplitudes of one or more selected frequency components of the frequency domain data, the one or more frequency components being selected according to a predefined communication symbol comprising one or more selected frequency tones corresponding to the one or more selected frequency components. The method may further comprise detecting the predefined communication symbol in the received communication signal depending on the combined amplitudes of the one or more selected frequency components of the frequency domain data.

Techniques for adaptively adjusting retry limits and modulation and coding scheme (MCS) thresholds are provided. A first network device receives a traffic flow from a second network device via a wireless network. The first network devices analyzes the traffic flow to identify a network service associated with the traffic flow. The first network device examines one or more predefined network service policies to determine one or more characteristics of the network service. The first network device detects a network congestion within the wireless network. Responsive to detecting the network congestion, the first network device switches to a congestion management mode, which further comprises that the first network device determines one or more network transmission settings for the traffic flow based on the one or more characteristics, and communicates the one or more network transmission settings to the second network device.

The invention belongs to the field of star flash mouse communication, and discloses a star flash mouse low-power-consumption communication system and method based on Polar code and SLE collaborative optimization, the system adopts a layered architecture design, collaborative optimization of energy efficiency and performance is realized through deep coupling of a physical layer and a link layer, and the performance of the system is improved. The core of the system is composed of three functional units including a Polar code coding module, an SLE control engine and a cross-layer optimization interface, and a complete closed-loop control system is formed. According to the invention, through deep cooperation of the Polar code and the SLE mechanism, the overall power consumption is reduced by 42.7% compared with the traditional scheme; according to the Polar code dynamic construction method based on track prediction, an ultra-low bit error rate of 10 <-5 > magnitude can still be kept in a 2.4 GHz complex interference environment, and in combination with signal-to-noise ratio self-adaptive coding parameter adjustment, it is ensured that transmission delay within 0.5 ms is always kept from a low-speed office scene to a high-speed electronic sports scene; in the aspect of engineering implementation, the method has the capability of quickly adapting to hardware platforms of different manufacturers, and a complete solution with high performance and low cost is provided for large-scale commercial use of the satellite flash technology in the consumer electronics field.

The disclosure relates to a fifth generation (5G) or sixth generation (6G) communication system for supporting a higher data transmission rate. A method and an apparatus for transmitting and receiving one or more pieces of data between a transmission node and a user equipment (UE) to perform cooperative communication in a wireless communication system, thereby improving communication reliability, are provided.

Aspects of the present disclosure provide techniques for communicating channel state information (CSI) reports. In some aspects, downlink resources can be monitored for reception of downlink signaling, a CSI report can be generated based on the reception of the downlink signaling, where the CSI report indicates CSI for each of multiple sub-bands of the downlink resources, and the CSI report can be transmitted with hybrid automatic repeat request (HARQ) acknowledgement or negative acknowledgement (ACK / NACK) feedback associated with the downlink signaling to facilitate retransmission with improved block error rate (BLER). In some aspects, a base station receiving the CSI report, or otherwise based on uplink signals, can determine transmission parameters for retransmission to facilitate the improved BLER.

The invention relates to an intelligent water affair remote monitoring and control system based on the Internet of Things, in particular to the field of intelligent water affair remote monitoring and control, and the system comprises the steps: firstly, pre-training a long and short-term memory network model through a cloud, and generating a lightweight edge prediction model to reduce calculation and transmission loads; the data transmission module effectively reduces the occupation of transmission bandwidth based on a dynamic quantization threshold value of a residual error and a differential coding technology, meanwhile, the high precision of the data is kept, the verification feedback module monitors the accuracy of the transmission data in real time through confidence coefficient detection, and triggers model re-calibration when the confidence coefficient is reduced, so that the long-term stability of the system is ensured, and the reliability of the system is improved. The sampling optimization module dynamically adjusts the sampling frequency according to the confidence coefficient and the residual fluctuation characteristics, balance is achieved between bandwidth occupation and reconstruction precision by using the Lyapunov optimization theory, the real-time performance and accuracy of water affair monitoring are improved, and meanwhile bandwidth consumption and energy consumption are effectively reduced.

Described herein are devices, systems, methods, and processes for optimizing the utilization of large bandwidth channels in wireless communication networks. This is achieved by an access point (AP) identifying parts of the channel available for standard power (SP) transmissions and using novel puncturing messages to allow simultaneous low-power indoor (LPi) transmissions on the “punctured” parts of the channel. The AP can implement different modes to allow concurrent transmissions at SP level on the SP-allowed parts of the channels and at LPi level on part of the channel that do not allow SP transmissions. The AP can also switch unicast communication with a client device to LPi but with a larger channel width as the device nears the AP. The techniques allow for fuller utilization of large bandwidth channels where only a part of the channel is available for SP transmissions, thereby improving network efficiency.