8 results about "Orthogonal sequence" patented technology

A method and apparatus for UCI multiplexing in a wireless communication node are disclosed. The communication node receives a first signaling, a first PUCCH is a PUCCH for a first UCI, the first PUCCH depends on the first signaling; the communication node transmits a plurality of PUSCHs, the plurality of PUSCHs overlap with the first PUCCH; wherein the first UCI is multiplexed on one PUSCH of the plurality of PUSCHs, the PUSCH of the plurality of PUSCHs for multiplexing the first UCI depends on whether a first type of orthogonal sequence is applied to the plurality of PUSCHs, the first type of orthogonal sequence is an orthogonal sequence of a PUSCH.

This application discloses a method and apparatus related to UCI used in a node for wireless communication. A first receiver receives a first signaling, a first PUCCH responding to the first signaling and overlapping with at least one PUSCH; a first transmitter performs UCI multiplexing by transmitting multiplexed UCIs on the PUSCHs; the multiplexed UCIs include the UCIs corresponding to the first PUCCHs; wherein the performance of UCI multiplexing depends on reference symbols satisfying a first set of conditions, the first set of conditions including timeline conditions related to the PDCCH providing the first signaling; the reference symbols depend on a first configuration, the first configuration being a configuration of orthogonal sequences of PUSCHs.

The application provides a communication method and a communication device, and relates to the technical field of communication. The method can multiplex resources occupied by various channels such as PDSCH and PUSCH, thereby improving system capacity. The method comprises the following steps: receiving first information from a network device, wherein the first information is used for indicating a first orthogonal sequence; receiving first data sent by the network device through a first channel on a first time-frequency domain resource by using the first orthogonal sequence, and / or sending second data to the network device through a second channel; wherein the first channel comprises PDSCH and / or NPDSCH, and the second channel comprises one or more of the following: PUSCH, NPUSCH, PRACH or NPRACH.

A method and apparatus for wireless communication are provided. One example method includes: obtaining, by a first device, a first sequence corresponding to a first uplink channel; and transmitting, by the first device, the first uplink channel based on the first sequence; wherein the first sequence is a sequence in a first sequence set, the first sequence set comprises a plurality of mutually orthogonal sequences, and the plurality of sequences corresponding to a plurality of time domain units in a first time domain unit group.

The present disclosure relates to a method and apparatus for efficiently allocating resources of a physical uplink control channel to a plurality of user equipment in a wireless communication system. According to an embodiment of the present disclosure, a method carried out by a base station for allocation of PUCCH resources in a wireless communication system may comprise the steps of: identifying indices of user equipment corresponding to the number of user equipment for allocation of PUCCH resources in a first format; selecting a cyclic shift (CS) for each user equipment by using a CS allocation scheme determined on the basis of an orthogonal sequence (OS) length, a CS distance, and a user equipment index of each user equipment to be allocated a PUCCH resource; selecting an OS for each user equipment on the basis of the OS length and the user equipment index of the user equipment to be allocated the PUCCH resource; and allocating a PUCCH resource in the first format to each user equipment on the basis of the selected CS and the selected OS.

This invention relates to the field of cognitive radio, and more particularly to a modulation pattern recognition method based on multi-scale analysis in non-cooperative communication scenarios. The method includes: preprocessing the modulation pattern signal and storing the preprocessed signal as an in-phase orthogonal sequence; converting the in-phase orthogonal sequence into amplitude, phase, and frequency; training a modulation pattern recognition model, which includes a multi-resolution feature extraction network, a cross-scale feature fusion network, and a classification output network. The multi-resolution feature extraction network includes three branches, and the cross-scale feature fusion network includes an improved Transformer coding layer and a cross-scale token fusion module. The improvement lies in integrating a Swish-gated linear unit into the feedforward neural network; and inputting a test set into the trained modulation pattern recognition model to obtain the modulation pattern of the signal. This invention exhibits better recognition performance in scenarios where the received signal has significant residual carrier frequency offset, significant sampling rate offset, and high-intensity noise.

This invention provides a physical-guided deep learning-based signal modulation recognition method and system, belonging to the field of electromagnetic signal processing and machine learning. The method involves performing symplectic geometric mode decomposition on preprocessed in-phase and orthogonal sequences to obtain dynamic mode sequences of the in-phase and orthogonal sequences. Based on K-Means clustering, the dynamic mode sequences of the in-phase and orthogonal sequences are further clustered and reconstructed to obtain K mode clusters for the in-phase and orthogonal sequences. Original frequency domain information is extracted from each mode cluster of the in-phase and orthogonal sequences, and the weights of each mode cluster are obtained based on this information. These weights are then assigned to the corresponding mode clusters to obtain feature representations of the in-phase and orthogonal sequences. The feature representations of the in-phase and orthogonal sequences are concatenated to obtain a one-dimensional time series signal. This one-dimensional time series signal is then input into a one-dimensional time-series deep network, which outputs the modulation category, thus improving recognition performance.

Disclosed in the present application are an HARQ-ACK information related method and apparatus used in a wireless communication node. The method comprises: a communication node receiving first signaling and second signaling, wherein the second signaling indicates first HARQ-ACK information; and the communication node performing transmission of a first transport block within at least one of a plurality of slots, wherein the transmission of the first transport block depends on the first signaling, the first transport block corresponds to a first HARQ process, and the validity of the first HARQ-ACK information with respect to the first transport block depends on a starting time-domain position of the second signaling and a first configuration, the first configuration being the configuration of a PUSCH orthogonal sequence.