3751results about "Baseband system details" patented technology

A method performed by a radio unit (RU) is provided. The method includes receiving, by the RU, sounding reference signals (SRSs), receiving, by the RU from a distributed unit (DU) via a fronthaul interface, a control plane (C-plane) message including SRS configuration information, performing, by the RU, channel estimation based on the SRSs and the SRS configuration information, and performing, by the RU, beamforming on the basis of the channel estimation.

A wireless communication method and system enabling dynamic multi-path data transmission and reception across heterogeneous radio access networks. The method includes selecting between sequential, concurrent, or redundant multipath transmission strategies based on real-time measurements of link quality parameters, including signal-to-interference-plus-noise ratio (SINR), reference signal received power (RSRP), delay, and spectrum availability. The system further enables adaptive transmission power control, modulation scheme selection, and carrier configuration based on physical layer feedback, minimizing interference and optimizing spectral efficiency. Peer-to-peer communication between terminals is supported without base station mediation, reducing RAN load. Multi-base station connectivity is enabled, allowing terminals to simultaneously transmit through multiple nodes and aggregate at the core network. The architecture supports real-time topology control, dynamic link adaptation, and transmission parameter adjustment based on physical-layer constraints.

The invention discloses a self-adaptive impedance matching method for a high-frequency signal transmission connector of a new energy vehicle, and relates to the technical field of signal processing, and the method comprises the steps: 1, obtaining the physical parameters of the high-frequency signal transmission connector of the new energy vehicle; calculating an electromagnetic field feature vector, and calculating a transmission line distribution vector of the high-frequency signal transmission connector; 2, calculating a propagation constant of a high-frequency signal transmission connector of the new energy vehicle; calculating the characteristic impedance of a high-frequency signal transmission connector of the new energy vehicle; 3, calculating a reflection coefficient; calculating an impedance error; step 4, calculating a compensation parameter vector, and generating a control signal by using an adaptive control theory according to the compensation parameter vector; and calculating the impedance matching degree according to the control signal. According to the invention, impedance change in a complex environment can be accurately dealt with, signal reflection and energy loss are significantly reduced, and transmission efficiency and signal integrity are improved.

According to embodiments, a UE receives, from a network device, a configuration of a sounding reference signals (SRS) resource with 8 antenna ports, a transmission comb configuration for the SRS resource, and a cyclic shift (CS) configuration for the SRS resource. The transmission comb configuration indicates a comb value K. K is one of 2, 4, or 8. The transmission comb configuration further indicates a configured comb offset (k). k is an integer between 0 and K−1. The CS configuration indicates CS positions. The UE maps each port of the 8 antenna ports to corresponding resource elements (REs) in the frequency domain and a corresponding CS. The corresponding REs are a subset of a plurality of REs and on every K-th RE with an offset based on the configured comb offset (k) within an SRS transmission bandwidth. The UE transmits SRSs using the 8 antenna ports based on the mapping.

The present disclosure provides a communication apparatus comprising: circuitry, which, in operation, generates at least one signal, wherein a part of the at least one signal is configured for a first station of a first generation and another part of the at least one signal is configured for a second station of a second generation in a sounding procedure; and a transmitter, which, in operation, transmits the at least one signal.

The invention relates to the technical field of power line communication, and discloses a frame synchronization method and device for broadband power line communication, and the method comprises the steps: carrying out the symbolization cross-correlation operation of a received signal, and obtaining a cross-correlation result sequence; performing secondary autocorrelation analysis and accumulation processing on the cross-correlation values in the sequence to generate an autocorrelation accumulated value sequence; screening candidate peak positions according to absolute values of the self-correlation accumulated values; defining a synchronous peak analysis window around the candidate peak position, and setting a noise reference window in an area far away from the window; verifying the validity of the candidate peak based on the difference between the autocorrelation accumulated values of the synchronization peak window and the noise reference window; and if the verification is valid, calculating and determining a final synchronization position through a mean value of a plurality of peak value positions in the synchronization peak window. According to the method, the problem of inaccurate synchronization peak positioning under the multipath effect and noise interference in the existing method is solved through the self-correlation accumulation and noise separation mechanism, and the reliability of frame synchronization is improved.

The invention discloses a power line carrier signal synchronization method and device, and belongs to the technical field of power line carrier communication. The method comprises the following steps: under the condition that a signal sequence is received, determining an autocorrelation result based on a known signal sequence; under the condition that the self-correlation result exceeds a dynamic threshold value, determining an effective correlation peak; the dynamic threshold is dynamically updated along with the change trend of the plurality of self-correlation results; and starting signal synchronization under the condition that the effective correlation peak and the historical effective correlation peak form a continuous correlation peak. According to the invention, through combination of cross-correlation and self-correlation, accurate detection of effective correlation peaks is realized, a dynamic threshold and continuity verification mechanism is introduced, the accuracy and robustness of signal synchronization are improved, the synchronization misjudgment rate can be significantly reduced, and the synchronization efficiency is improved.

Wireless sensing using classifier probing and refinement is described. In one example, a described method comprises: computing output analytics by a classifier based on input data constructed based on raw measurement data; mapping each output analytics to a respective mapped outcome; identifying at least one reference input data each associated with a reference output analytics and a reference mapped outcome; each reference input data being one of the input data for the classifier for which a respective reference outcome is available and is different from the reference mapped outcome; and for each reference input data for the classifier: computing a respective plurality of perturbed output analytics by the classifier, generating selected perturbed input data based on the plurality of perturbed output analytics; and re-training the classifier based on the selected perturbed input data and the associated reference outcome.

A voltage mode driver circuit has a first driver slice has a pullup structure that includes a first transistor and a second transistor and a pulldown structure that includes a third transistor and a fourth transistor. The first transistor has a gate that receives a first version of a first data signal. The second transistor has a gate that receives a first version of a second data signal. The third transistor has a gate that receives a second, complementary version of the first data signal. The fourth transistor has a gate that receives a second, complementary version of the second data signal. The first data signal encodes data in a first mode and enables the pullup and pulldown structures in a second mode of operation. The second data signal encodes data in the second mode of operation and enables the pullup and pulldown structures in the first mode of operation.

The invention discloses a downlink channel knowledge map (CKM) construction method based on a diffusion model and a channel estimation method, and belongs to the technical field of wireless communication. According to the method, a base station service area is divided into grids, an off-line training data set is constructed by combining pilot frequency data and position labels of receiving equipment, and channel statistical information of different positions is learned by using a diffusion model to generate the CKM. In the channel estimation stage, based on the CKM and a small amount of pilot frequency data, noise is gradually removed through the reverse process of the diffusion model, and efficient channel estimation is achieved. Compared with a traditional method, the method has the advantages that the requirement for the number of pilots is remarkably reduced (only 1-2 pilots are needed), the estimation precision is improved (the NMSE is reduced by more than 40%), and the method is adaptive to a high-density MIMO system and is suitable for a 6G environment sensing communication scene.

Disclosed are a method and device for transmitting and receiving a physical channel in a wireless communication system. A method for receiving a physical downlink shared channel (PDSCH) according to one embodiment of the present disclosure may comprise the steps of: receiving configuration information relating to a training reference signals for training an artificial intelligence / machine learning (AI / ML) model from a base station; receiving the plurality of training reference signals from the base station; receiving control information for scheduling the PDSCH from the base station; and receiving the PDSCH from the base station on the basis of an inference derived with respect to a demodulation reference signal (DMRS) of the PDSCH from the AI / ML model which has been trained by means of one or more training reference signals from among the plurality of training reference signals.

The invention relates to the technical field of RFID tag signal optimization, and discloses an RFID tag signal optimization method and system based on deep learning. According to the method, feature extraction is carried out on a backscattering signal, core features of a multipath channel are quantized from a frequency domain and a time domain respectively, numerical representation of a channel state is further obtained, then obtained data information is used as input of a deep learning network, training and forward calculation are carried out, original emission parameters are adjusted, and a multi-path channel is obtained. Therefore, the conversion from blind extensive control to precise control of the transmitting end is realized, so that the problem of mismatching of parameter control and channel state caused by information splitting of the transmitting end and the receiving end in the prior art is solved; according to the signal optimization method for realizing joint adjustment of transmitting and receiving parameters through an end-to-end deep learning architecture, the optimization effect of an RFID tag signal in a complex environment is remarkably improved.

A method and device for transmitting or receiving improved codebook-based channel state information in a wireless communication system are disclosed. A method performed by a terminal in a wireless communication system, according to one embodiment of the present disclosure, comprises the steps of: receiving one or more channel state information (CSI)-reference signals (RS) from a network; and transmitting, to the network, one or more CSI reports including information indicating a first precoding matrix based on the one or more CSI-RSs and a channel quality indicator (CQI) based on a second precoding matrix, wherein the first precoding matrix is included in a set of precoding matrices defined on the basis of one or more predetermined codebooks, and the second precoding matrix can be determined on the basis of the first precoding matrix and one or more pieces of artificial intelligence (AI) / machine learning (ML) model-related information.

The invention discloses an anti-turbulence free space optical communication method based on receiving and transmitting joint optimization, which balances the code length and the code rate through a Polar coding mode of an atmospheric turbulence channel, and ensures the coding and decoding overhead; meanwhile, a Transform model based on convolution enhancement is designed at a receiving end, learning of local features is enhanced through convolution, the relation between phase screen pixels is established, and a conjugate phase screen is given by the model for turbulence compensation. In order to solve the problem that in a free space optical transmission system, the atmospheric turbulence effect interferes with an OAM light beam, the influence of atmospheric turbulence interference on free space optical communication is relieved in a mode of joint optimization of the receiving end and the transmitting end. Error codes caused by atmospheric turbulence are corrected through Polar coding of the transmitting end, and the coupling efficiency of receiving light spots is improved after phase compensation of the receiving end, so that the mode purity obtained by corrected light spot images is improved, and the error rate of the system is reduced.

A method for operating infrastructure equipment in a wireless communications network is provided. The equipment transmits and receives signals from a communication device and a reconfigurable intelligent surface (RIS). During operation, a signature value associated with the communication device is determined, and one or more beams for signal transmission are selected based on the signature value. The selected beams include a direct beam between the infrastructure and the communication device and beams involving the RIS. The infrastructure equipment controls the RIS configuration to generate these beams, enabling efficient signal transmission between the communication device and the infrastructure.

The invention discloses a vehicle positioning method and device based on fingerprint positioning and electronic equipment, and relates to the 5G technical field or other related technical fields, and the method comprises the steps: employing a plurality of receiving antennas of a base station to detect the characteristics of an uplink signal transmitted by a to-be-positioned cash truck, generating a channel impulse response fingerprint matrix CIR, a channel frequency response fingerprint matrix CFR and an angle-time delay channel frequency power fingerprint matrix ADCFP based on the uplink signal characteristics, and matching the extracted angle-time delay channel frequency power fingerprint matrix ADCFP with fingerprints in a pre-established fingerprint database to obtain a matching result; and according to a matching result, positioning the position coordinates of the to-be-positioned cash truck by adopting an improved power WKNN matching algorithm. The technical problem that in the prior art, an armor cash carrier is influenced by different environmental factors, the positioning precision is low, and the vehicle safety is reduced is solved.

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 an off-network block sparse orthogonal matching pursuit underwater acoustic time delay Doppler domain channel estimation method, and belongs to the technical field of underwater acoustic channel estimation. The method solves the problems that a channel estimation method based on traditional orthogonal matching pursuit cannot estimate frequency shift parameters on non-grid points and is high in calculation complexity. According to the method, channel parameters of integer grid points are obtained based on a BOMP algorithm, and then residual Doppler factors on non-grid points are subjected to further fine estimation based on maximum likelihood criterion fitting. The problem that a traditional OMP channel estimation method in underwater OTFS communication can only estimate channel parameters on grid points is solved, and the estimation precision of channel frequency shift parameters is further improved by estimating frequency shift parameters on non-grid points; and meanwhile, a fractional order dictionary is prevented from being established in a channel parameter process, so that the system complexity is reduced to a certain extent. The method can be applied to underwater sound time delay Doppler domain channel estimation.

The invention provides an ultrasonic transceiving device and a control method thereof. The ultrasonic wave transmitting and receiving device comprises a plurality of coupled ultrasonic wave transmitting and receiving units. Each ultrasonic wave transceiving unit comprises a plurality of ultrasonic wave oscillators; the driving bias circuit is coupled to the plurality of ultrasonic oscillators, and the driving bias circuit is used for receiving alternating current voltage; and a switching circuit coupled to the driving bias circuit, the switching circuit having a plurality of switching paths, the plurality of switching paths corresponding to a plurality of impedance values or a plurality of inductance values, the switching circuit is used for switching a system driving signal to pass through one of the switching paths according to a mode selection signal to serve as the alternating voltage and transmitting the alternating voltage to the driving bias circuit.

The present disclosure relates to a method for operating a terminal and a base station in a wireless communication system and an apparatus for supporting the same. In an embodiment of the present disclosure, a method for operating a terminal in a wireless communication system may include: transmitting a first message including information related to learning; receiving a second message including configuration information for learning; transmitting an uplink reference signal; and transmitting channel information related to a downlink channel measured based on a downlink reference signal.

Certain aspects of the present disclosure provide techniques for obtaining one or more reference signals specific to a communication channel; inputting at least one characteristic associated with the one or more reference signals into a machine learning model that is configured to predict one or more channel parameters associated with multipath propagation characteristics of the communication channel; outputting, from the machine learning model, one or more predicted channel parameters specific to the multipath propagation characteristics of the communication channel; and performing channel estimation to generate a characteristic of the communication channel based on the one or more predicted channel parameters.

The invention discloses a method for estimating the transmittance of a time-varying channel based on a frequency division multiplexing pilot frequency, and aims to solve the problem that the existing method for estimating the transmittance by adopting average transmittance does not have the capabilities of timely feedback and dynamic adjustment. The method comprises the following steps of: measuring a regular position component and a regular momentum component of a received signal by receiving a quantum signal and a pilot signal of frequency division multiplexing in a local local oscillator continuous variable quantum key distribution system generated by a transmitting end in real time; compensating phase noise caused by frequency offset and channel jitter due to different center frequencies of two independent lasers at a receiving end and a transmitting end by using a frequency offset compensation and phase recovery algorithm, and performing band-pass filtering to obtain a recovered pilot signal; and calculating the power ratio of the obtained pilot signal to the pre-calibrated pilot signal at each moment to obtain the time-varying free space transmittance. The performance change of the system in different time periods can be accurately reflected, the communication performance of the CVQKD system can be optimized, the success rate of key transmission can be improved, and the adaptability and robustness of the system can be improved.

The invention discloses a joint detection method for a satellite-ground downlink NOMA (Non-Orthogonal Multiple Access) system, which is characterized by comprising the following steps of: S1, inserting pilot frequencies in a time-frequency grid through pilot frequency signals which are sparsely and uniformly arranged in a sub-channel of a transmitting end; s2, extracting a pilot signal at a receiving end, and performing channel estimation based on a deep residual convolutional network; s3, performing multi-user signal detection based on an iterative retraining method of a deep neural network; s4, optimizing power distribution within a power distribution factor threshold range based on a sparrow search algorithm, and minimizing a system bit error rate; s5, combining the step S2, the step S3 and the step S4 to form a joint detection model based on deep learning; through combination of deep learning and a sparrow search algorithm, the problems of channel estimation precision, signal detection capability, power distribution optimization and the like in the system are solved, the overall performance and reliability of the system are improved, and the method is suitable for large-scale user access and efficient data transmission requirements in a modern satellite communication system.

Examples relate to a method, a computer program, and an apparatus for predicting a reception quality in a mobile communication system. The method (10) for predicting a reception quality in a mobile communication system comprises considering (11) a grid of adjacent regions overlaying a coverage area of the mobile communication system and determining (12) measured reception qualities for a subset of regions in the grid. The method (10) further comprises determining (13) a calculated reception quality per region in the grid based on a channel model applied for said region. For a region, for which no measured reception quality is available (14) the method (10) also comprises determining (15) a delta value as a difference between a measured reception quality and a calculated reception quality in an adjacent region and obtaining (16) a predicted reception quality for the region, for which no measured reception quality is available, by correcting a calculated reception quality for said region based on the delta value.

The present invention provides a new pilot pattern and channel estimation method involving such pilot for mmWave OTFS systems in high mobility scenarios with non-ideal power amplifier, which is applicable in the fifth generation (5G) and beyond networks. The pilot pattern for communication signal in wireless communications involving mmWave systems with non-ideal power amplifier comprises signal including a pilot signal element, information-bearing symbol and zero as guard, wherein, position of pilot and guard are arranged to combat the effect of inter symbol interference (ISI) from nonlinear impairment of the power amplifier for accurate channel estimation.

The invention discloses an underwater platform data acquisition and transmission system. The system comprises the following steps: an underwater data acquisition module acquires underwater environment information through a heterogeneous sensor and performs standardization processing; the channel modeling module analyzes underwater channel characteristics by using a self-adaptive channel model and generates channel estimation parameters; the channel estimation module is combined with a quantum interference measurement method to correct a channel state and optimize a channel model; the channel optimization and data fusion module constructs a joint feature matching network of underwater acoustic signals and quantum state signals to realize signal fusion and channel feature dynamic optimization; the data transmission optimization module adjusts a data transmission strategy based on the optimized transmission parameters, and the transmission stability is improved; and the energy management module adopts a dynamic power control strategy to realize low-power-consumption operation. According to the method, quantum measurement, sparse Bayesian channel modeling and an adaptive optimization method are combined, and the underwater channel estimation precision, the data transmission efficiency and the system stability are improved.

The invention relates to the technical field of satellite communication signal processing, and discloses a broadband satellite signal blind demodulation reconstruction method and system based on sparse representation. The method comprises the following steps: carrying out frequency domain transformation on broadband satellite mixed signals to extract pilot frequency features to construct a beam state feature matrix, inputting the matrix into an adversarial network to generate a beam adaptive sparse dictionary, constructing a topological relation graph according to a Doppler frequency shift set, and carrying out collaborative sparse decomposition to obtain a sparse coefficient matrix; and extracting a code rate candidate set to execute parallel sparse reconstruction, determining an actual code rate through self-consistency verification to obtain a complete signal, analyzing a switching instruction, extracting time sequence statistical characteristics, predicting target domain characteristics, generating a switched sparse dictionary, and executing demodulation. The sparse decomposition precision, the code rate blind estimation accuracy, the cooperative processing efficiency and the switching continuity of the broadband satellite mixed signals are improved.

The invention provides a RIS-assisted location awareness-based communication and sensing integration method, which is used for further improving the calculation efficiency of atomic norms and improving the accuracy of parameter estimation by utilizing priori knowledge between a base station and a reconfigurable intelligent surface. By incorporating priori knowledge into the scheme design, the calculation complexity can be significantly reduced, and the accuracy of channel estimation and positioning can be ensured at the same time. The method has the advantages that super-resolution channel estimation can be achieved, and the performance of the method is superior to that of an existing orthogonal matching pursuit method. The comparison of various performance indexes shows that the method provided by the invention has obvious advantages. The advantage is crucial for realizing accurate positioning service in a complex environment.

Wireless communications are described. A base station may send control information for scheduling data to be transmitted to the wireless device via a downlink. The control information may comprise one or more indications of wireless resources to be used by the wireless device to receive the data. The wireless device may receive the data based on one or more determinations / conditions, such as satisfying a time offset (e.g., between reception of the downlink information and a scheduled transmission of the data), whether a control resource set is configured to indicate a transmission configuration state, and / or whether the control information indicates a transmission configuration state.

Aspects described herein relate to using machine learning (ML) models for performing channel state information (CSI) encoding or decoding, CSI-reference signal (RS) optimization, channel estimation, etc. The ML models can be trained by a user equipment (UE), separately by the UE and a network node (e.g., base station), or jointly by the UE and network node.