950results about "Forward error control use" patented technology

The invention relates to the technical field of audio and video emergency transmission, and discloses an audio and video low-delay return method and system in an extreme environment. The method comprises the following steps: acquiring original multi-modal data of audio and video acquisition equipment in a target area, and analyzing a data state of the original multi-modal data; and meanwhile, available network transmission links are monitored, and the quality is evaluated. Self-adaptive coding parameters are generated in combination with the link quality and the data state, dynamic coding is executed on original data, and a coding stream suitable for redundant transmission is formed. And carrying out cooperative distribution transmission based on the network link set and the coded stream to generate return data. According to the generation process, a device and energy management instruction is formed and issued to the acquisition and relay device. According to the method, the network state and the content characteristics are optimized in a dynamic coding link in a collaborative manner, and the audio and video quality, the real-time performance and the system energy efficiency which are transmitted back in an extreme environment are improved through a feedback closed loop for transmitting a result to equipment management.

A data processing method and apparatus are disclosed, which may be applied to communication systems such as 5G systems and 6G systems. The method includes: obtaining an extended first codebook based on a second codebook by increasing a quantity of codewords or lengths of codewords, and performing first network coding or decoding based on the first codebook. Linear independence between codewords in the extended first codebook may be ensured as much as possible, so as to generate more valid redundant packets or check packets, thereby improving system reliability. Alternatively, flexible block lengths are supported, so as to perform efficient network coding or decoding on more original data packets, thereby improving system spectral efficiency. This application may be applied to an extended reality (XR) service or a low-delay service.

Systems, methods, and instrumentalities are disclosed for priority-based channel coding for control information. A wireless transmit / receive unit (WTRU) may sort control information associated with a first control information type into a first control information group and the control information associated with a second control information type into a second control information group, for example, based on respective priorities associated with the first and second control information types. The WTRU may group one or more bits of the first control information group into a first bit level control information group and a second bit level control information group based on priority. The WTRU may selectively apply a cyclic redundancy check (CRC) to the first control information group, the second control information group, the first bit level control information group, and / or the second bit level control information group.

The invention relates to the technical field of data exchange networks, and discloses a hardware-level link health monitoring system and a self-healing method, the hardware-level link health monitoring system comprises a flow analysis and data acquisition module; a multi-dimensional link quality state module; and a hardware-level self-healing and collaborative execution module. The hardware-level link self-healing method comprises the following steps: collecting a performance index of a link by hardware and generating a traffic portrait vector; after real-time reporting, dynamically adjusting the weight in an evaluation model according to the traffic portrait vector, and calculating a link health score in combination with the performance index so as to judge the health state; and finally, executing hierarchical self-healing actions on a hardware level according to the health state. According to the method and the system, hardware-level monitoring and self-healing closed loop without CPU intervention are realized, the evaluation model can be adaptively adjusted according to the service type, the monitoring accuracy and the fault self-healing speed are remarkably improved, and the service continuity is guaranteed.

A UE-associated entity may train an encoder to encode uplink control information. The UE-associated entity may determine a quantization codebook to be applied to the encoded uplink control information. The UE-associated entity may share a sequential training dataset with a base station-associated entity, the sequential training dataset including: one of an input vector set or an output vector set; and one of an encoded and unquantized intermediate vector set or an encoded and quantized intermediate vector set. The base station-associated entity may train a decoder based on a quantization codebook and at least the sequential training dataset from the UE-associated entity. When the base station-associated entity receives multiple sequential training datasets for different vendors, the base station-associated entity may train a multi-vendor decoder based on the multiple sequential training datasets.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, configuration information indicating that network coding is enabled for initial transmissions associated with a multicast / broadcast service (MBS) and indicating that network coding is enabled for retransmissions associated with the MBS. The UE may receive, via a multicast traffic channel or a dedicated traffic channel, an initial transmission associated with the MBS, wherein the initial transmission is associated with a first set of encoded packets. The UE may transmit a radio link control (RLC) status feedback message associated with the initial transmission. The UE may receive, via the multicast traffic channel or the dedicated traffic channel, a retransmission associated with the initial transmission, wherein the retransmission is associated with a second set of encoded packets. Numerous other aspects are described.

The invention discloses an anti-packet loss processing method and system for audio and video data. The method is applied to an articulated naturality web, the articulated naturality web comprises two groups of devices, and the two groups of devices are respectively a receiving end device and a transmitting end device. According to the anti-packet-loss processing method and system for the audio and video data, provided by the invention, through a series of steps of packet loss detection, recovery, error concealment and the like, the audio and video data can be recovered to the greatest extent under the condition of data packet loss, the problems of jamming, fuzzy pictures, discontinuous sound and the like are reduced, and the quality of the audio and video is remarkably improved; forward error correction, interpolation compensation and various error hiding methods are carried out by using redundant data, and lost data packets are processed from different angles, so that the definition and fluency of audios and videos and the fidelity of the audios are ensured; meanwhile, through secondary packet loss detection, the situation that the transmission integrity of the audio and video data packets is affected due to the fact that the packet loss phenomenon is not found in time can be effectively avoided.

A wireless device may receive a first code block of one or more code blocks associated with a transport block for the wireless device. The wireless device may output, using a neural network model associated with the wireless device, a set of low-density parity-check (LDPC) quantization values for a set of iterations of an LDPC decoding procedure for the first code block. In some examples, the set of LDPC quantization values may include respective LDPC quantization values for respective iterations of the set of iterations. The wireless device may perform one or more iterations of the LDPC decoding procedure for the first code block in accordance with one or more LDPC quantization values of the set of LDPC quantization values output using the neural network model.

This disclosure provides methods, components, devices, and systems for ultra-high reliability (UHR) signaling design. Some aspects more specifically relate to an access point (AP) transmitting a frame including a user info field to a wireless station (STA), where the user info field supports UHR parameters. The user info field may include a subfield indicating a coding scheme for communications, where the subfield includes at least two bits to support at least three coding scheme options. Additionally, or alternatively, the AP may transmit a trigger frame indicating for one or more STAs to communicate via distributed resource units (RUs). The AP may arrange the user info fields in the trigger frame to implicitly indicate respective global cyclic shift delay (CSD) indexes to the STAs. A STA receiving the trigger frame may determine a global CSD index corresponding to the STA according to the order of the user info fields.

Systems and methods for reliable Channel State Information (CSI) feedback towards multiple Transmission / Reception Points (TRPs) are provided. In some embodiments, a wireless device receives a configuration for one or more of: Semi-Persistent CSI (SP-CSI) reporting on PUCCH comprising a first PUCCH resource; SP-CSI reporting on PUSCH comprising a reporting periodicity and slot offset; and periodic CSI reporting on PUCCH comprising a second PUCCH resource activated with a third and a fourth spatial relations or uplink TCI states, and a reporting periodicity and slot offset. The wireless device also receives an appropriate activation command and transmits SP-CSI in a PUCCH resource; a periodic CSI in a PUCCH resource; and / or a SP-CSI in a PUSCH resource. In this way, reliability of SP-CSI on PUSCH, or SP-CSI on PUCCH, or periodic CSI on PUCCH can be improved by repeating the SP-CSI or periodic CSI over multiple TRPs.

This application relates to a communication method and an apparatus. A sensing device receives a first signal in at least one last time subunit in a first time unit and a first frequency domain unit set, and measures the first signal. The sensing device sends a first sensing signal in a second time unit and a second frequency domain unit set when a measurement result of the first signal meets a first condition. For example, if the second time unit is not occupied by another device, the sensing device may send SL signals in the second time unit; or if the second time unit is occupied by another device, the sensing device may not send SL signals in the second time unit. In this manner, a probability of resource collision can be reduced, and SL signal transmission quality can be improved.

The invention provides a compression method and device for soft information in a signal demodulation process and electronic equipment. The method comprises the following steps: acquiring linear soft information output by demapping in a signal demodulation process, wherein the linear soft information has a preset dynamic range; the linear soft information is subjected to dynamic range compression processing through a nonlinear quantization algorithm, nonlinear soft information is obtained, and the number of quantization levels allocated to low-amplitude soft information by the nonlinear quantization algorithm is larger than the number of quantization levels allocated to high-amplitude soft information by the nonlinear quantization algorithm; and outputting the non-linear soft information to a decoder, so that the decoder restores an original hard bit stream transmitted by a signal transmitting end based on a confidence coefficient characteristic in the non-linear soft information, and the bit width of the non-linear soft information is adaptive to the bit width constraint of the decoder on the input information. According to the invention, information loss in a signal demodulation process can be reduced.

A communication method, includes generating first channel information. The first channel information includes K segments, K is an integer greater than 1, a length of each of the K segments is less than or equal to a first threshold, a type of the first channel information is ground truth channel information, and the first channel information includes a channel response, a channel eigenvector matrix, a precoding matrix, reference signal received power, or a signal to interference plus noise ratio. The communication method also includes transmitting K pieces of UCI to a network device. The K pieces of UCI include the K segments.

The present disclosure relates to a 5th generation (5G) or 6th generation (6G) communication system for supporting a higher data rate. The present disclosure may be applied to intelligent services (e.g., smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail business, and security and safety related services) based on 5G communication technology and IoT related technology. The present disclosure relates to a method and apparatus for performing channel state information (CSI) measurement and reporting for artificial intelligence (AI)-based beam management in a wireless communication system.

A wireless device receives configuration parameters indicating: a control resource set (coreset) configured with a first transmission configuration indicator (TCI) state and a second TCI state; and a bitmap comprising a plurality of bits. Each bit of the plurality of bits indicates one of the first TCI state or the second TCI state and is for a respective repetition of repetitions of a downlink control information (DCI). The wireless device receive, via a search space associated with the coreset, each of a plurality of repetitions of a first DCI using an associated TCI state indicated by a respective bit of the plurality of bits.

The invention provides a data link multi-dimensional domain signal communication method, which comprises the steps of performing cross-domain association deconstruction on a data link space-time-frequency multi-dimensional signal and error feature data in an electromagnetic environment to obtain a space-time-frequency domain original feature set, and synchronously integrating signal propagation feature data and error source attribute data to generate a multi-source association data cluster, a space-time frequency multi-dimensional fusion feature topology is generated; a multi-dimensional domain collaborative error-resistant model is constructed based on space-time-frequency multi-dimensional fusion feature topology, dynamic weight distribution and error suppression strategy iterative optimization are performed on space-time-frequency domain error-resistant weight parameters and error suppression strategy parameters in combination with a space-time-frequency domain resource adaptation rule, and a multi-dimensional domain error-resistant regulation and control instruction is generated; and performing space-time-frequency collaborative optimization processing on a data chain transmission signal according to the multi-dimensional domain error-resistant regulation and control instruction to obtain an error-resistant optimization signal, synchronously acquiring transmission quality data of a link feedback signal, and performing reverse fine tuning on a multi-dimensional domain error-resistant regulation and control instruction parameter through a deviation between the transmission quality data and a preset quality threshold value.

A method according to one embodiment comprises sending a first plurality of packets using forward error correction, FEC, with an initial success ratio. A report is received regarding a number of packets in the first plurality that were not delivered because they were actively discarded or considered obsolete. An updated success ratio is selected based at least in part on the report. A second plurality of packets is then sent using FEC with the updated success ratio.

An internet of things (IoT) non-terrestrial network (NTN) device user equipment (UE) is described. The UE includes receiving circuitry configured to receive a separately configured orthogonal cover code radio network temporary identifier (OCC-RNTI) and / or a number of repetitions table for a repetition number field in downlink control information (DCI) format 0. The receiving circuitry may also be configured to receive a DCI format N0 for a narrowband physical uplink shared channel (NPUSCH) transmission with an OCC signaling including whether OCC is applied, and if OCC is applied, an OCC multiplexing factor and an OCC index. The UE also includes transmitting circuitry configured to transmit a NPUSCH with OCC multiplexing with the provided OCC multiplexing factor and the indicated OCC index on a schedule resource if OCC is indicated, or transmit an NPUSCH without OCC multiplexing on the schedule resource if OCC is not indicated.

In a method of transmitting a signal in an OTFS system, a delay-Doppler domain matrix is generated based on information symbols. A plurality of block data is generated by grouping elements of the delay-Doppler domain matrix. A delay-time domain matrix is generated by performing an IDFT on each of the plurality of block data. A plurality of row data is generated by grouping elements of the delay-time domain matrix. A final delay-time domain matrix is generated by interleaving each of the plurality of row data. A transmission signal is transmitted based on the final delay-time domain matrix.

Provided are an iterative detection and decoding (IDD) circuit, which includes a multiple-input and multiple-output (MIMO) detector having low power consumption, an operation method of the IDD circuit, and a modem chip. The IDD circuit, which is configured to receive a signal including a symbol, includes a first detector configured to generate a first log-likelihood ratio based on the symbol by using a linear detection method, a decoding circuit configured to perform a first decoding operation based on the first log-likelihood ratio and to generate a post-log-likelihood ratio when the first decoding operation fails, and a second detector configured to, when the first decoding operation fails, generate a second log-likelihood ratio based on the symbol and the post-log-likelihood ratio by using a nonlinear detection method, wherein the decoding circuit is further configured to perform a second decoding operation based on the second log-likelihood ratio.

A reduced number of interleaved encoded bits is obtained by encoding input bits by a polar code and interleaving a subset of the encoded bits obtained by the encoding. The polar code comprises a number of bit indices for placing bit values before encoding, including a first set of bit indices for placing values of the input bits and a second set of bit indices for placing a predetermined bit value. The first set of bit indices comprises a first subset of bit indices and a second subset of bit indices. The subset of the encoded bits corresponds to the second subset of the bit indices, and is for reducing the number of the encoded bits. An input bit value placed on both a first bit index in the first subset and a second bit index in the second subset, and the second bit index is based on the interleaving.

The invention discloses a self-adaptive compression and lossless fast transmission method and system for high-frequency test data. The method comprises the following steps: extracting multi-dimensional dynamic feature vectors from high-frequency test data in real time and marking feature points; based on the features, the network bandwidth and the target compression ratio, dynamically selecting a compression algorithm combination and parameters through a pre-training decision model; performing data framing and typed preprocessing according to the algorithm combination; compression is executed through a multi-stage assembly line, and a correction link based on statistical characteristics is inserted between stages; constructing a three-dimensional transmission state matrix fusing priorities, links and quality scores, dynamically allocating links and adaptively adding forward error correction codes; and after error correction and decompression of a receiving end, realizing lossless verification through multi-dimensional comparison of feature point sequences of the reconstructed data and the original data. According to the method, the whole-course self-adaption of the compression strategy and the transmission scheduling is realized, and the lossless and reliable recovery of the data is ensured while the compression and transmission efficiency is improved.

Apparatuses, methods, and systems are disclosed for multiple downlink control information transmissions. One method (700) includes transmitting (702), to a user equipment, downlink control information a plurality of times, wherein: each transmission of the downlink control information comprises the same downlink control information; and each transmission of the downlink control information is in a physical downlink control channel candidate in a configured control resources set.

Provided is a method (300) and a successive interference cancellation (SIC) based multi-user uplink receiver (200) for multi-user uplink transmission. The method comprises receiving (302) signal of one or more multiple-access (MA) scheme waveforms by a plurality of antennas (202.1, . . . , 202.R) from one or more users. The method further comprises determining (304) one or more effective channel matrices corresponding to the plurality of antennas. Thereby, the method comprises performing (306) channel equalization for signal received in a corresponding antenna by an effective channel matrix. Furthermore, the method comprises combining (308) the channel equalized signal. Subsequently, the method comprises detecting (310) Correctly Decoded Code Blocks (CCBs) and Wrongly Decoded Code Blocks (WCBs). Upon detecting CCBs and WCBs, the method comprises performing (312) the SIC on received signals from one or more users until all WCBs are converted to CCBs or a maximum number of threshold iterations are completed.

Polar codes for wireless communications are constructed to adapt to channel conditions. Input bits are encoded by a polar code to obtain a number of encoded bits, and a reduced number of the encoded bits are decoded to obtain decoded input bits. The polar code provides or includes bit indices for bit values, and the bit indices include a first set of bit indices for values of the input bits and a second set of bit indices for a predetermined bit value. Encoded bits in a subset, which includes fewer than all of the encoded bits and is for reducing the number of the encoded bits, are interleaved.

A method and apparatus for performing sidelink communications in a wireless transmit receive unit (WTRU) using Long Term Evolution (LTE) and New Radio (NR) technologies is described herein. A WTRU receives a downlink control information (DCI) on a physical downlink control channel (PDCCH) transmission from a base station, where the DCI is associated with a cyclic redundancy check (CRC) that is scrambled using a radio network temporary identifier (RNTI). The WTRU determines that the DCI indicates resources for a LTE sidelink transmission when the CRC is scrambled using a sidelink semi-persistent scheduling V-RNTI, and determines the DCI indicates resources for a new radio (NR) sidelink transmission when the CRC is scrambled using a sidelink (SL)-RNTI. The WTRU transmits SL data using the resources indicated by the determined DCI. Additional embodiments are disclosed.

A data processing method and apparatus are disclosed, which may be applied to communication systems such as 5G and 6G. The method includes: obtaining an extended first codebook based on a second codebook by increasing a quantity of codewords or lengths of codewords, and performing first network coding or decoding based on the first codebook. Linear independence between codewords in the extended first codebook may be ensured as much as possible, so as to generate more valid redundant packets or check packets, thereby improving system reliability. Alternatively, flexible block lengths are supported, so as to perform efficient network coding or decoding on more original data packets, thereby improving system spectral efficiency. This application may be applied to an extended reality XR service or another low-delay service.

A first communication device that is configured to communicate with a second communication device having circuitry configured to obtain user data length information indicating the length of one or more data units of user data to be transmitted to the second communication device; obtain at least two transmission parameter sets each including transmission parameters for use in the transmission of the user data, the at least two transmission parameter sets having one or more different parameter values; determine, from the user data length information and the at least two transmission parameter sets, encoding parameters that are identical regardless which transmission parameter set is used for transmission of the user data; encode the user data into transmission data units according to the determined encoding parameters; and modulate and transmit the transmission data units to the second communication device according to one of the transmission parameter sets.

In some implementations, a wireless signal decoder may include a receiver configured to receive a wireless signal and convert the wireless signal into a digital signal. The wireless signal decoder may further include a processor configured to input the digital signal into a spiking neural network (SNN) and receive at least one predicted data symbol as output from the SNN. The at least one predicted data symbol may include a rate coded output or a latency coded output.

One approach may include at least partially initializing the mesh of the SE engine based at least in part on predetermined state information about the communication channel associated with the incoming data stream; and processing the incoming data stream via the MLSE engine to further initialize the mesh and decode the incoming data stream.