773 results about "MIMO" patented technology

The invention discloses a self-adaptive safety control method of a nonlinear MIMO system under intermittent DoS attack, which comprises the following steps: establishing a nonlinear MIMO system model suffered from intermittent DoS attack, and the system model is in a strict feedback form and comprises an unknown nonlinear function and bounded external disturbance; the DoS attack causes periodic interruption of a communication link from a sensor to a controller, so that actual measurement data is unavailable in an attack activation period; designing a switching type adaptive state estimator; coordinate transformation is carried out by introducing a filter, and a system error is decomposed into a tracking error and a dynamic surface filtering error; a Lyapunov function is constructed; performing stability analysis in stages; designing an adaptive law to update unknown parameter estimation values of the FLS; and a final event triggering controller is designed, and the event triggering controller is combined with a virtual controller to track an error compensation term and an FLS approximation term. The problem that the state cannot be measured is solved.

The invention provides a covert communication method based on near-field broadband super-large-scale array beam splitting. Comprising the following steps: S1, according to an applied near-field covert communication scene, constructing a corresponding communication model by using a beam splitting effect in a broadband XL-MIMO system, carrying out beam training, and describing a received signal expression of the communication model; s2, constructing a signal detection model of a listener according to a near-field covert communication scene, and describing a detection error probability expression and a covert constraint expression; and step S3, the hidden transmission rate is maximized by optimizing the transmitting power and the subcarrier number of the transmitter. According to the method, the two-dimensional optimization problem related to the transmitting power and the subcarriers is converted into the one-dimensional optimization problem related to the discrete variable quantum carrier number, and the concealment rate of a legal receiver is maximized.

Aspects presented herein may improve the performance of a JCS system by providing various resource mapping for the sensing and communication of the JCS system. Aspects presented herein may enable a base station to use PDSCH for MIMO sensing with FDM based waveform orthogonality, and may also enable a UE to support DMRS channel estimation when PDSCH is used for MIMO sensing with FDM based waveform orthogonality. In one aspect, a UE receives a plurality of PDSCHs on a plurality of ports, each PDSCH of the plurality of PDSCHs being received through a different port of the plurality of ports, each PDSCH of the plurality of PDSCHs being received on a different set of non-overlapping REs within each RB of a set of RBs. The UE demodulates each PDSCH of a port based on DMRS received through the port.

The invention relates to the technical field of wireless communication and underground coal mine safety, and discloses an explosion-proof wireless 4G / 5G base station for underground coal mining, which comprises a communication module integrated with a 4G / 5G communication protocol and supporting wireless signal transmission; the antenna array comprises a multi-band antenna capable of adjusting the direction; the intelligent reflecting surface module is deployed in a roadway and is used for dynamically optimizing an electromagnetic wave propagation path; the distributed MIMO system comprises a plurality of distributed antenna units and a centralized control unit. And the ultra-reliable low-delay communication module supports a 5G network slicing technology. According to the invention, a signal path is dynamically optimized through the intelligent reflecting surface, and cooperative transmission with millimeter wave-distributed MIMO is realized, so that the signal coverage quality and the high-capacity data transmission capability in an underground complex environment are remarkably improved; and meanwhile, based on a 5GURLLC protocol, edge computing and a wireless charging technology, ultra-low time delay and high reliability of a key task are guaranteed, and long-term endurance and intelligent maintenance of equipment are realized.

Methods and systems are disclosed for enhancements to multicast beamforming to support PTM multicast service, concurrent multicast and unicast service, MBS, or group side-link service at the physical layer. A base station or multicast UEs of a wireless communication network may enhance reporting of the channel state information of a link between the base station and the UE and adaptation of the link for multicast beamforming. Enhancements to multicast beamforming may include techniques such as CQI table optimization and SSB-based early CQI reporting, consideration of UE preferences such as the preferred number of retransmissions and frequency-hopping preference for retransmission when designing a time-domain or frequency-domain retransmission scheme common to the multicast UEs, and multi-layer MIMO beamforming for 2-layer multicast transmissions over the horizontal and vertical polarizations and for concurrent multicast and unicast transmissions. The enhancements improve multicast service performance and efficiently allow a UE to gain access to multicast service.

The invention provides a multi-antenna MIMO architecture synchronization method and device, a program product and a storage medium, and relates to the technical field of wireless communication. Receiving sampling signals through a plurality of receiving channels; performing down-sampling on each sampling signal to obtain a down-sampling signal; determining a plurality of cache regions to store each downsampling signal, and performing cross-correlation operation on each downsampling signal and a local synchronous time domain signal; when any receiving channel detects an effective peak value, determining the position of the effective peak value as a preliminary synchronization position; determining a corresponding search window range, and performing weighted stacking on the target cross-correlation results to obtain an overall correlation peak value; searching a maximum value in all the total correlation peak values, and determining a position corresponding to the maximum value as a final synchronization position; and calculating a frequency offset estimation value of each receiving channel according to each pilot signal, and carrying out weighted average on each frequency offset estimation value to obtain a final frequency offset estimation value. By adopting the method, the wireless frame synchronization precision can be improved.

The invention provides a method for assisting a movable antenna to realize secure communication by STAR-RIS, and relates to the technical field of wireless communication. According to the method, the safety and the rate of the system are maximized by jointly optimizing the beam forming of the base station, the position of the movable antenna and the STAR-RIS coefficient matrix. The method specifically comprises the following steps: constructing a downlink MIMO system and establishing a joint optimization problem; decomposing the joint optimization problem into three sub-problems by adopting an alternate optimization framework; respectively utilizing a particle swarm optimization algorithm and a weighted minimum mean square error method to be combined with a Majoritization-Minimalization algorithm to solve each sub-problem, and respectively utilizing the particle swarm optimization algorithm and the weighted minimum mean square error method to be combined with the Majoritization-Minimalization algorithm to solve each sub-problem; and alternately executing related steps until system security and rate convergence to obtain a solution of the joint optimization problem. By the adoption of the method, the safety communication performance of the system is remarkably improved, full-space coverage and precise beam regulation are achieved, the algorithm convergence is high, the solving efficiency is high, and the method is suitable for a downlink system with multiple users and multiple eavesdropping nodes.

The application discloses a channel estimation method for a millimeter wave frequency division duplex massive MIMO system based on compressed sensing and deep learning, and belongs to the technical field of wireless communication.The technical scheme is as follows: a received pilot signal is processed by using a compressed sensing method to extract a preliminary CSI matrix; a convolutional neural network and a long short-term memory network are combined to extract spatial features and capture time correlation; the preliminary estimated CSI matrix is input into a ConvLSTM layer, and the ConvLSTM network fuses time correlation information to improve the estimation accuracy of the CSI; the same padding, ReLU activation function and filter with appropriate size are used to obtain the same size as the input data; and dimension transformation and inverse normalization are used to obtain the final CSI estimation result.The application has the beneficial effects that the method for channel estimation by using compressed sensing and deep learning aims at reducing the overhead of channel estimation and improving the estimation accuracy in a time-varying channel, reduces the overhead of downlink training and uplink feedback, and improves the channel estimation accuracy in the time-varying channel.

The present invention relates to the technical field of wireless communications. Disclosed are a deep learning-based CSI compression feedback method and system for a multi-antenna MIMO system. The method comprises: acquiring raw CSI data, and preparing a neural network model training set; on the basis of the acquired data, constructing a U-Net neural network model integrated with a Transformer; training the neural network model offline to obtain a trained neural network model; and performing metric evaluation on the trained neural network model. The present invention improves the CSI compression efficiency and reconstruction accuracy of the multi-antenna MIMO system, accelerates data processing and feedback speed, enhances model adaptability, and achieves accurate restoration of compressed data. In addition, the multi-scale convolution and skip connection design of the network preserves more details, thereby improving reconstruction quality. An optimized network structure not only reduces the amount of calculation, but also improves processing speed, so that the model can adapt to various channel environments and communication scenarios.

A base station may perform a beamforming for a UE group including UEs that are disposed spatially close to each other for MU-MIMO. The base station may generate group common DCI including a beam indication and / or a PL-RS indication for the UE group. The ID included in the group common DCI may be group specific for the UE group or UE specific for a specific UE. The beam indication for different channels may be indicated by an RNTI or an RRC.

The present invention discloses a MIMO-OFDM channel estimation method and device based on natural interpolation. The method comprises: obtaining a channel coefficient at a pilot signal based on least squares channel estimation; assigning weights to the channel coefficients at several pilot signals near each interpolation point according to the size of the Voronoi diagram grid area based on the natural interpolation method, and obtaining an interpolation formula at the interpolation point by weighted summation; and performing natural interpolation on each interpolation point using the interpolation formula to obtain a MIMO-OFDM channel estimation result. The method applies natural interpolation to channel estimation, and obtains a channel frequency response estimate at the interpolation point by weighting the values ​​at several pilot signals near the interpolation point. This method can simultaneously utilize the time and frequency correlation of the channel, significantly improve the channel estimation accuracy, reduce the channel estimation error, and have a smoother interpolation effect and better interpolation performance.

A wireless transmit receive unit (WTRU) and methods are disclosed for mitigating radar interference on PUSCH transmission. The method may include: transmitting a message informing a network of PUSCH MIMO layer aggregation capability; receiving a MIMO rank; receiving an indication to use PUSCH MIMO layer aggregation; determining a PUSCH layer aggregation level based on the MIMO rank; and transmitting multiple redundancy versions of a PUSCH codeword comprising one or more code blocks based on the PUSCH layer aggregation level. The WTRU may be configured to transmit a message informing a network of PUSCH MIMO layer aggregation capability; receive a MIMO rank; receive an indication to use PUSCH MIMO layer aggregation; determine a PUSCH layer aggregation level based on the MIMO rank; and transmit multiple redundancy versions of a PUSCH codeword comprising one or more code blocks based on the PUSCH layer aggregation level.

The invention relates to a 92GHz MIMO roadside radar radio frequency system based on a frequency conversion assembly, and the radar radio frequency system comprises a baseband processing layer which comprises at least two cascaded millimeter wave system-level SoC chips; the frequency conversion layer is a frequency conversion module FCM, and the FCM comprises a local oscillator synthesis unit, an upper mixer group and a lower mixer group; the local oscillation synthesis unit is used for generating a 13GHz local oscillation signal; the input end of the upper mixer group is connected with the output end of the baseband processing layer, the local oscillation end of the upper mixer group is connected with the local oscillation synthesis unit, the output end of the lower mixer group is connected with the input end of the baseband processing layer, and the local oscillation end of the lower mixer group is connected with the local oscillation synthesis unit; and the down-conversion layer is used for down-converting 92-94 GHz echo signals received by the antenna array to 79-81 GHz and then outputting the echo signals to the baseband processing layer. According to the invention, 92-94 GHz frequency conversion can be realized.

A microstrip antenna which includes a substrate, a ground on a second side of the substrate, a first patch on a first side of the substrate, and a second patch on the first side of the substrate. The first patch is connected to a first port. The second patch is separated from the first patch and connected to a second port. Each of the first and second patches is further formed with a plurality of shorting vias connected to the ground. The radiation patterns of each element also feature the RPD characteristic, which is promising for large-scale MIMO or array antennas.

The invention discloses a large-scale MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) joint active user detection and channel estimation method. The invention provides a probability model for modeling a user beam domain channel based on channel support and channel values for a large-scale MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) unlicensed random access system. Under the framework of the Bethe free energy theory, the problem of large-scale MIMO-OFDM joint active user detection and channel estimation is converted into the problem of Bethe free energy minimization. The Bethe free energy minimization problem is solved through a Lagrange multiplier method to obtain a related mixed message passing algorithm, and joint active user detection and channel estimation of the large-scale MIMO-OFDM unlicensed random access system are realized by using the algorithm. According to the method, the accuracy of joint active user detection and channel estimation of the large-scale MIMO-OFDM authorization-free random access system can be effectively improved.

A method of wireless communication includes determining a first precoding matrix indicator (PMI) value and a second PMI value, the first PMI value indicating a first matrix W1 of a first codebook C1, the second PMI value indicating a second matrix W2 of a second codebook C2, wherein the first matrix W1 and the second matrix W2 together define a precoding matrix W for multi-antenna transmission. The method also includes transmitting the first PMI value at a first periodicity, and transmitting the second PMI value at a second periodicity shorter than the first periodicity. In some examples, the method also includes transmitting a rank indicator (RI) value, where the first PMI value and the second PMI value are determined based on the RI value.

The invention relates to the technical field of communication, and particularly discloses a front-end communication circuit and a communication method, and the front-end communication circuit comprises a communication chip, a first external change-over switch and a second external change-over switch. The communication chip is provided with a first transceiver interface, a second transceiver interface and a third transceiver interface. The first external change-over switch is configured to selectively route a middle-high frequency band signal to the first transceiving interface or allow the signal to be input through the second transceiving interface or the third transceiving interface; meanwhile, the second external change-over switch is used for switching the MIMO radio frequency signal to the second transceiver interface or the third transceiver interface. All the selected signals are finally input into the communication chip through corresponding interfaces to be processed. According to the scheme, flexible frequency band combination and carrier aggregation configuration can be supported so as to meet the differentiation requirements of global 5G frequency bands. In addition, through dynamic configuration of an external switch and an interface, a single hardware design can be compatible with module schemes of multiple domestic semiconductor manufacturers, and repeated development investment is avoided.

The invention discloses a GNN signal detection method based on an attention mechanism in a cellular-removed large-scale MIMO system, and belongs to the technical field of wireless communication. Aiming at the problem that the traditional EP algorithm adopts independent Gaussian approximation for multi-user posterior distribution and cannot effectively capture interference association among users, the method is combined with a graph neural network and a 2D MHA module, the 2D MHA module captures the interference relation between users through the time attention sub-block, the frequency attention sub-block captures the correlation between different features, the two outputs are spliced and subjected to linear projection to form enhanced feature representation, and meanwhile the fusion capacity of prior and likelihood information is enhanced through the EP module. According to the method, the low calculation complexity is kept while the detection precision is improved, and the adaptability and robustness of the algorithm in different channel and network environments are remarkably enhanced.

The invention discloses a near-field channel estimation method based on perceptual auxiliary mutual attention in super-large scale MIMO (Multiple Input Multiple Output) sensing integration. Comprising the steps of obtaining a training data set and a test data set through channel characteristics in a super-large-scale MIMO ISAC system, position information characteristics of a scatterer in a radar sensing communication process, model construction of a radar sensing target and preprocessing of signals received by a base station; a deep convolutional neural network model is constructed based on a convolutional layer and a cross-modal attention encoder, the convolutional layer is used for extracting local features of a matrix and remodeling data types of the local features and the cross-modal attention encoder, and the encoder fuses matrix data through cross-modal attention and enhances extraction and utilization of important features by using double attention; training and testing the deep convolutional neural network model; and obtaining an estimated channel matrix by adopting a deep convolutional neural network model. According to the method, the accuracy and the stability of channel estimation are remarkably improved.

The invention discloses a low-energy-consumption resource allocation method based on multi-agent deep reinforcement learning in a cellular-free large-scale MIMO system, and the method comprises the steps: taking the minimization of the total energy consumption of all users as a target, and building a joint optimization problem of a user task unloading strategy, an uplink power allocation strategy and a computing resource allocation strategy; the optimization problem is converted into a deep reinforcement learning model, the user, the access point and the cloud server are respectively converted into intelligent agents, the state, the action and the total reward function of each intelligent agent are set, the actions of the intelligent agents of the user are set to be a user task unloading strategy and an uplink power distribution strategy, and the total reward function of the intelligent agents of the user is set to be a total reward function. Actions of agents of the access point and the cloud server are set as a computing resource allocation strategy, and a total reward function is set as an inverse number of total energy consumption; and solving the deep reinforcement learning model to obtain an optimal computing resource allocation strategy. According to the invention, joint optimization of unloading, power allocation and resource allocation is realized.

The invention relates to a resource optimization method of an active RIS enabled cellular-free MIMO-SWIPT system. The resource optimization method comprises the following steps: S1, constructing a system model and a performance index expression of active RIS enabled cellular-free large-scale MIMO in an SWIPT scene; s2, constructing an optimization problem of joint resource allocation according to the performance index expression; and S3, equivalently converting the optimization problem into an alternating optimization problem through a weighted MMSE (Minimum Mean Square Error) method, and iteratively solving the alternating optimization problem through an alternating optimization framework. The method not only effectively overcomes the restriction of the double fading effect on the system performance, but also solves the problem of synchronous amplification of interference and noise when the active RIS amplifies the desired signal, and obviously improves the downlink weighting sum rate of the system.

The invention discloses an MIMO signal channel separation and reconstruction method and system for a millimeter wave radar. The method comprises the steps of obtaining echo signals of the millimeter wave radar and converting the echo signals into a plurality of 4D matrixes; performing fast Fourier transform based on the 4D matrix to obtain a transformed 4D matrix and distance-Doppler spectrum data; distance-Doppler unit index value pairs corresponding to all peak values are obtained based on the distance-Doppler spectrum data; all the distance-Doppler unit index value pairs are substituted into the transformation 4D matrix, and a plurality of MIMO signal channel data two-dimensional matrixes are correspondingly obtained; constructing a channel reconstruction matrix based on the virtual array surface features; and filling the MIMO signal channel data two-dimensional matrix into the channel reconstruction matrix according to a specific sequence to obtain a non-sparse channel reconstruction matrix. The MIMO signal channel separation efficiency and accuracy are improved, and the processing efficiency and robustness of diversified and complex radar data are further improved.

Proposed are a method and device for transmitting a MIMO control field in a wireless LAN system. Particularly, a receiving STA: generates a MIMO control field for providing feedback on channel information; and transmits the MIMO control field to the transmitting STA. The MIMO control field comprises a grouping subfield and a reserved subfield. The channel information on which the feedback is provided comprises information relating to a subcarrier on which feedback is to be provided on the basis of an Ng value. The Ng value is determined on the basis of the grouping subfield and a first bit of the reserved subfield. If the first bit is configured as 1 and the grouping subfield is configured as 0, the Ng value is determined as 8. If the first bit is configured as 1 and the grouping subfield is configured as 1, the Ng value is determined as 32.

The invention discloses a single-loop droop control method and system for a wind generating set, and the method comprises the following steps: constructing a doubly-fed fan-power converter-power grid three-module coupling model, and completing the dynamic adaptation of the characteristics of a doubly-fed fan of a single-loop droop control architecture without inner-loop current control; based on the input signal-model collaborative integration body and the adaptive architecture, MIMO-GBC is adopted to analyze a phase margin and a resonance peak value of an open-loop transfer function matrix eigenvalue of a dynamic small signal model, and double risks are identified in a full slip rate interval; aiming at the resonance risk, a current induction type virtual impedance strategy is adopted; aiming at insufficient phase margin, adopting a transient phase calibration strategy; and according to the real-time slip ratio of the DFIG and the stator power change, inter-partition linkage optimization is carried out on the virtual resistance and the phase calibration angle so as to minimize a dual-power step response fluctuation square mean value, a parameter setting period and a rotor side converter control period are synchronously matched, and all-working-condition stable control is realized.

A fault diagnosis method for the RF front-end circuit of a MIMO system includes using a Synchronous Enhancement Extracting Transform (SEET) to pre-process the acquired fault signal to extract fault feature, creating a fault identification model fused by a complex field based asymmetric convolutional neural network and a complex field based multi-head attention module to assign fault feature weights, extract key feature and identify fault status. The SEET can extract fault feature components, and calculate its real field feature and imaginary field feature to obtain a real field two-dimensional matrix i and an imaginary field two-dimensional matrix q, thus an enhanced time-frequency feature is obtained. The fault identification model is used for a transform from a complex field feature space to a high dimensional space and realizing the assignment of fault feature weights, key features extraction and fault status identification.

A method, a network device, and a non-transitory computer-readable storage medium are described in relation to an MIMO selection service. The MIMO selection service may include calculating MIMO configurations that include a number of layers for each MIMO configuration pertaining to a group of end devices; and identifying performance metric sensitive end devices of the group. The MIMO selection service may further include selecting for each performance metric sensitive end device, a first MIMO configuration from the MIMO configurations that has a higher number of layers relative to one or more other MIMO configurations of the MIMO configurations; and selecting for each non-performance metric sensitive end device of the group, a second MIMO configuration from the MIMO configurations that combined with the first MIMO configuration yield a highest spectral efficiency.

A first wireless node may output a configuration of a plurality of reference signals (RSs) based on a set of sensing measurement conditions. The sensing measurement conditions may include one or more of a range resolution, a maximum range, a velocity resolution, a maximum velocity, a velocity range, an angle of arrival (AoA) measurement, an angle of departure (AoD) measurement, or a multiple-input multiple-output (MIMO) sensing occasion for radar sensing. A second wireless node may obtain the configuration of the plurality of RSs. The first wireless node may transmit the plurality of RSs for the radar sensing based on the configuration. The second wireless node may receive the plurality of RSs for the radar sensing based on the configuration. The second wireless node may perform the radar sensing based on the received plurality of RSs.

A wireless communication device includes a processor to determine signal characteristics of digitized down-converted signals across first intermediate frequency band and second intermediate frequency band based on spatial analysis on the digitized down-converted signals. The processor perform cross-band correlation between the digitized down-converted signals across the first intermediate frequency band and the second intermediate frequency band. The processor detects jamming signal and jammer type in digitized down-converted signals based on cross-band correlation and determined signal characteristics of the digitized down-converted signals. The processor applies spatial nulling to multiple-input-multiple-output (MIMO) antenna array to dynamically suppress jamming signal when jammer type is spatial jammer. The processor activates jammer defense function to switch communication to unaffected intermediate frequency band when jammer type is non-spatial jammer and jamming signal is detected on primary intermediate frequency band and perform cross-band validation on digitized down-converted signals to confirm mitigation success of jamming signal.

To provide a multiband distribution device capable of providing a plurality of FDD bands and TDD and TDD MIMO services.SOLUTION: A multiband distribution device includes: a master unit 5100 that accommodates a plurality of bands including FDD and TDD services, filters and adjusts a service signal for each band to a specified gain for each band, transmits the signal to a plurality of slave units through a coaxial line, adjusts and filters a terminal signal for each band transmitted from a plurality of slave units in an opposite direction to the specified gain for each band, and transmits the signal to a BTS through an antenna; and a slave unit 6100 configured to filter the band-specific signal, adjust the band-specific signal to the specified gain, output the service signal toward the terminal through the antenna, and adjust the terminal signal to the specified gain, filter the band-specific signal, and transmit the filtered signal to the master unit.SELECTED DRAWING: Figure 2

The invention discloses a high-isolation broadband four-port dual-polarized antenna based on differential and common modes and a communication terminal. Comprising a feed layer, a lower dielectric layer, a metal floor, an air layer, an upper dielectric layer and a radiation patch which are stacked in sequence. The feed layer is located on the lower surface of the lower dielectric layer and comprises a feed connector, a micro-strip feeder line, a lumped capacitor, a lumped inductor, a feed metal column and a short circuit metal column. The metal floor is located on the upper surface of the lower dielectric layer, and a plurality of circular gaps concentric with the feed metal columns are etched in the metal floor. The radiation patch is located on the upper surface of the upper dielectric layer, is composed of a horizontal rectangular metal, a vertical rectangular metal and an inclined metal branch, and is used for improving the isolation between different feed ports. The antenna has the characteristics of simple structure, wide band, high isolation and dual polarization, and is suitable for application scenes such as multiple-input-multiple-output (MIMO) systems, radars, satellites and base stations.