30 results about "Mimo communication systems" patented technology

The present invention belongs to the technical field of wireless communications, and particularly relates to a beamforming and user selection method based on a distributed IRSs-aided MIMO communication system. The method comprises: constructing a distributed IRSs-aided MIMO communication system model; constructing a joint optimization problem P for active beamforming at a base station, phase shifts of IRSs, and a user selection strategy; decoupling the joint optimization problem P into a joint optimization subproblem P1 for a user selection strategy and active beamforming at the base station, and an optimization subproblem P2 for phase shifts of the IRSs; solving the joint optimization subproblem P1 to obtain a user selection strategy and a beamforming vector at the base station; solving the optimization subproblem P2 to obtain phase shifts of the IRSs; and repeatedly executing the solving steps until the joint optimization problem P converges, so as to obtain an optimal user selection strategy, an optimal beamforming vector at the base station, and optimal phase shifts of the IRSs, and then executing same. While ensuring the user service quality, the present invention significantly reduces the transmitting power of a base station, thereby improving the system performance.

The invention discloses a non-orthogonal polarization MIMO (Multiple Input Multiple Output) communication system, which belongs to the technical field of wireless communication and comprises a serial-parallel conversion and precoding module, a signal distribution network, a transmitting channel, a non-orthogonal transmitting array antenna, a non-orthogonal receiving array antenna, a receiving channel, a signal merging network and an MIMO signal detection module, a non-orthogonal transmitting antenna unit is arranged in the non-orthogonal transmitting array antenna, and a non-orthogonal receiving antenna unit is arranged in the non-orthogonal receiving array antenna. According to the invention, parallel transmission of multiple paths of signal streams can be realized under various channel conditions, and the transmission rate and the spectrum utilization rate of the system are improved.

The invention provides a decentralized graph neural network architecture for multi-cell multi-user MIMO communication system beam forming, and the construction steps of the architecture comprise: step 1, in a method for optimizing the multi-cell multi-user MIMO communication system beam forming by using a graph neural network, constructing a local loss function of a base station, and realizing computational graph decoupling; step 2, constructing a heterogeneous graph model based on the local loss function of the base station proposed in the step 1, and realizing decoupling of a graph model level; and step 3, carrying out distributed training and reasoning on the heterogeneous graph model to obtain a decentralized graph neural network architecture oriented to multi-cell multi-user MIMO communication system beam forming.

A signal restructure unit for radio frequency (RF) antenna systems includes four ports and a signal routing circuit. The signal routing circuit receives RF signals at input ports and provides phase-controlled outputs to antenna ports. When receiving sum signals, the unit provides in-phase restructured signals for common-mode antenna operation. When receiving difference signals, the unit provides anti-phase restructured signals for differential-mode antenna operation. The signal routing circuit may be implemented as a rat-race coupler with transmission line segments or as discrete circuit elements including inductors and capacitors. An RF communication system incorporates the signal restructure unit with digital processing circuits, transceivers, and antennas to achieve MIMO operation from a single antenna structure. The system provides improved isolation while reducing the antenna size. The restructure unit enables reconfigurable MIMO operation with enhanced performance for wireless communication applications.

The invention discloses an optimization method, system and device combining antenna selection and precoding, and a storage medium, and belongs to the technical field of wireless communication. The method comprises the following steps: acquiring communication data from a base station to a user in a target XL-MIMO communication system; calculating a received signal of the user based on the communication data; based on the received signal, constructing a joint optimization model which takes the maximum sum rate as an optimization target and takes an antenna selection matrix and a hybrid precoding matrix at a base station as optimization variables; decomposing a solving problem of the joint optimization model into sub-problems by adopting an alternating direction method; alternately solving the sub-problems to obtain an optimization result; and obtaining an antenna selection matrix and a hybrid precoding matrix at the base station according to an optimization result. According to the method, the antenna selection problem is converted from integer programming to matrix sparsity optimization by adopting the alternating direction method, the constraint optimization problem of key variables is effectively solved, and the spectrum efficiency of a communication system is improved.

An electronic device which includes processing circuitry configured to acquire training data corresponding to multiple antennas, the training data having a label and features, the label including a first channel value for a first time slot, and the features including a plurality of second channel values for a plurality of time slots before the first time slot, train a channel prediction model based on the training data to obtain a trained channel prediction model, and obtain a channel prediction value for a prediction time based on the trained channel prediction model.

The invention provides a capacity improvement method and system based on intelligent metasurface near field deployment, and the method comprises the steps: a deployment step: symmetrically deploying RIS of an RIS-assisted MIMO communication system, and obtaining a deployed MIMO communication system; the RIS is an intelligent metasurface; and an optimization step: constructing a joint optimization problem according to the deployed MIMO communication system, solving the joint optimization problem, obtaining an optimal RIS phase shift vector and power distribution vectors of all users, and further optimizing the MIMO communication system. According to the method, the calculation complexity of system design and online operation is remarkably reduced, and the feasibility of actual deployment in a large-scale system is achieved.

A vehicle-mounted system may include a first plurality of antennas, a second plurality of antennas, and one or more circuits configured for handling signals transmitted and / or received via the first plurality of antennas and the second plurality of antennas. At least two antennas of the first plurality of antennas have antenna patterns in different directions. At least two antennas of the second plurality of antennas have antenna patterns in different directions. At least one antenna of the first plurality of antennas and at least one antenna of the second plurality of antennas have antenna patterns in a same first direction. At least one other antenna of the first plurality of antennas and at least one other antenna of the second plurality of antennas have antenna patterns in a same second direction that is different than the first direction.

The present application relates to the field of wireless communication physical layer security technology, especially to a MIMO communication system radio frequency fingerprint protection method based on structured disturbance. The method first acquires a communication signal to be sent and a pre-shared key, generates a disturbance parameter based on the pre-shared key and a data packet index; uses a first disturbance factor to independently perform weighting processing on a training sequence in the communication signal in the dimension of a transmission antenna, maintains the spatial orthogonal structure among multi-antenna signals; performs structured linkage disturbance processing on a data symbol in the communication signal, establishes a disturbance association between the data symbol and the training sequence; and sends the communication signal after the weighting processing and the structured linkage disturbance processing through a wireless channel. The present application can effectively hide the radio frequency fingerprint to prevent device tracking, maintain the spatial orthogonality of the MIMO preamble, and realize the recoverable authentication of the cooperative receiver and the transparent compatibility of the non-cooperative standard receiver.

The application relates to an active intelligent super-surface assisted MIMO communication system control method, a communication system comprising a base station, an active intelligent super-surface and a plurality of user terminals, a direct link between the base station and the user terminals being blocked by an obstacle, the method comprising: establishing a received signal model and a quantization noise model at the base station, and obtaining an uplink rate of each user terminal and a sum rate of all users; performing signal processing at the base station by using maximum ratio combining and an analog-to-digital converter with a precision lower than a preset threshold; establishing an active intelligent super-surface phase shift optimization problem according to the received signal model and the uplink rate, solving the optimization problem to obtain an optimal phase shift matrix, and controlling the active intelligent super-surface to operate according to the optimal phase shift matrix. Compared with the prior art, the application can overcome the multiplicative fading effect of a passive intelligent super-surface, and the problem of reduced communication performance caused by an undesirable phase shift, improve the communication system performance, and reduce system energy consumption and hardware cost.

This invention belongs to the field of wireless communication technology, specifically relating to a SIM-enabled massive MIMO communication system. The system employs a single-RF link transmitter architecture, replacing traditional antenna arrays and single-layer reconfigurable smart surfaces with a SIM, enabling efficient signal transmission in multi-user communication scenarios. Specifically, the stacked smart metasurface applies controllable phase modulation to the incident single-frequency carrier signal, achieving signal modulation and precoding without the need for traditional baseband modulation. This allows different users to receive their desired signals with low mutual interference. Compared to traditional massive MIMO systems, this system architecture effectively alleviates the engineering challenges of high hardware complexity, high integration density, increased power consumption, and limited heat dissipation faced by high-frequency communication, while significantly reducing reliance on high-precision digital-to-analog converters and multiple RF links.

The invention provides a physical layer authentication method for a massive MIMO communication system. The method comprises the following steps: an expected receiver determines a test statistic Lx used for evaluating channel state information difference between adjacent time intervals through a log-likelihood ratio; and when the sender is the legal user equipment and assumed H0, when the sender is the attacker and assumed H1, and when Lx is smaller than or equal to a threshold value delta, the expected receiver accepts the assumed H0 and judges that the sender is the legal user equipment, otherwise, the expected receiver accepts the assumed H1 and judges that the sender is the attacker. According to the authentication scheme, modeling is carried out on a channel in a massive MIMO antenna communication scene, and the influence of antenna coupling, antenna space correlation and the like caused by antenna element spacing reduction and antenna data increase on the physical layer authentication performance is measured. And the PCA and the SVD are used for carrying out spatial domain and frequency domain decorrelation on the high-dimensional channel information, so that the storage space occupied by the channel information at a base station end can be reduced, and the authentication overhead is greatly reduced under the condition that the same authentication performance is ensured.

The invention relates to the technical field of wireless communication, and discloses a multi-user downlink scheduling method and computer equipment. Comprising the following steps: acquiring a large-scale channel coefficient from each user equipment to each far-end radio frequency unit in the distributed base station; determining a multi-user signal to interference and noise ratio of the user equipment on the allocated sub-band by using the large-scale channel coefficient and interference and noise of the user equipment on the corresponding sub-band; determining a target modulation coding strategy of the user equipment by using the multi-user signal to interference plus noise ratio so as to execute downlink transmission operation; wherein the target modulation coding strategy is used for describing a transmission parameter of the user equipment on the allocated sub-band. Therefore, the key channel characteristics are reserved while the calculation complexity is reduced, the MU-SINR is calculated in combination with sub-band level interference and noise, the actual channel quality in a multi-user coexistence scene can be accurately reflected, channel utilization and interference control are optimized, and the communication performance and resource efficiency of a cellular-free large-scale multiple-input-multiple-output communication system are greatly improved.

The invention discloses a storage and calculation integrated MIMO communication system signal receiving method, circuit, device and equipment, and belongs to the field of integrated circuits and communication signal processing. According to the signal receiving method, the conductance value of the memristor in the memory-based storage and calculation integrated simulation domain calculation circuit is configured according to the element value of a real number field channel matrix and the values of a regularization parameter, a constraint boundary parameter and a dual update step length parameter; and converting the real number field receiving signal vector into a current signal vector, inputting the current signal vector into a storage and calculation integrated simulation domain calculation circuit, executing iterative operation of box constraint MIMO detection based on ADMM in a simulation domain calculation mode, and outputting a detection result after iteration is performed for a preset number of times. Compared with a traditional processor based on digital domain calculation, the storage and calculation integrated MIMO communication system signal receiving circuit is shorter in calculation delay and higher in energy efficiency.

The application discloses a short-wave large-scale MIMO communication system and a frequency selection method fusing dynamic frequency selection. In view of the problem that the existing automatic frequency selection mechanism is only applicable to a single antenna and is difficult to adapt to the dynamic change of the ionosphere, the scheme integrates a dynamic frequency selection framework with a large-scale MIMO technology, establishes a multi-user large-scale MIMO signal model, adopts omni-directional precoding based on a Zadoff-Chu sequence to perform frequency sweeping and statistical channel estimation. According to the current time, the frequency scanning window is dynamically adjusted, and the optimal frequency is quickly locked in combination with a signal-to-noise ratio threshold decision rule. The method fully gives play to the spectral efficiency advantage of the large-scale MIMO, and significantly improves the link reliability, data throughput and environmental adaptability of the short-wave communication in a complex environment.

This invention relates to the field of wireless communication technology, specifically to a method and system for cooperative precoding of uplink and downlink in full-duplex multi-user communication. The method includes: establishing a full-duplex multi-user MIMO communication system; constructing uplink and downlink signal models for the communication system; constructing a cooperative precoding uplink and downlink cooperative beamforming optimization model, and establishing a model for maximizing total spectral efficiency under uplink and downlink transmit power constraints; based on the weighted minimum mean square error criterion, introducing auxiliary variables to transform the total spectral efficiency maximization model into an equivalent outer-layer iterative total spectral efficiency maximization problem, and iteratively solving it; establishing an alternating iterative framework for uplink and downlink beamforming matrices, and solving to obtain the uplink and downlink beam matrices. This invention improves the total spectral efficiency of multi-user communication systems in full-duplex communication mode.

The application discloses a kind of HAPMIMO radar system diversity multiplexing gain analysis methods, comprising, the time sample observed to radar receiver is modeled, and the matching filter output of radar and communication transmitting signal is calculated according to time sample model;Matched filter output is obtained and rearranged data according to the correlation of target reflection coefficient;According to the matching filter output of radar subsystem receiver, the detection problem of target hypothesis with and without is constructed: the probability of missed detection of HAPMIMO radar subsystem is calculated;The diversity gain and multiplexing gain of radar are calculated, and the compromise relationship between the diversity gain and multiplexing gain of radar subsystem is obtained;The radar performance of cooperative MIMO radar communication integrated system is evaluated, and the maximum HAPMIMO communication diversity gain and HAPMIMO communication multiplexing gain are extracted from observation data.The radar performance of cooperative MIMO radar communication integrated system is evaluated, and the performance of radar system is improved in cooperation with MIMO communication system.

A method of determining a procedure for generating a precoding parameter and a merge parameter in an MU-MIMO RSMA communication system is presented. The determination process uses selectable target attributes of the communication connections, selectable processes for processing respective errors associated with estimated channel coefficient matrices for all communication channels, and selectable design techniques as inputs. Further, a method of generating precoding parameters and merge parameters for wireless interfaces of a first communication device and a second communication device, respectively, according to a previously determined procedure is presented. The generation process provides a joint determination of precoding parameters and merge parameters in an MU-MIMO RSMA communication system in which the CSI is only imperfectly known. Yet further, a method for operating a first wireless communication device and a second wireless communication device in the MU-MIMO RSMA communication system using precoding parameters and merge parameters determined according to the process is presented.

The present application relates to the technical field of wireless communication, especially to a channel estimation method based on sparse Bayesian learning, comprising the following steps: step A, using the sparse characteristics of the millimeter wave channel to model the channel, and constructing the corresponding RIS assisted MIMO communication system model; step B, first constructing two-layer sparse prior information of the channel, then factorizing the joint posterior probability density function of the parameters, and finally drawing the corresponding factor graph model according to the factorization; step C, for the factor graph model in step B, combining the unitary transformation approximate message passing, and using the sparse Bayesian algorithm framework to perform channel estimation; step D, repeating step C until the algorithm converges; the method in the present application has low complexity, reduces the pilot overhead of the system, and has high algorithm universality.

The invention provides a transform domain waveform sending and fast local search receiving method for an MIMO system, and relates to the technical field of large-scale MIMO communication. According to the invention, a two-component combination generalized weighted fractional Fourier transform waveform design technology is applied to a one-bit quantization large-scale MIMO communication system and is combined with a fast local search signal detection technology, a novel waveform transmission and signal detection method is designed, DCGWFRFT is carried out on a sending symbol sequence, and the signal transmission efficiency is improved. And the signal detection performance problem of received signal waveform distortion caused by one-bit quantization is solved in a mode of designing an equivalent channel matrix at a receiving end, and finally, signal detection is performed through rapid local search, so that the bit error rate of the system is reduced. Compared with an existing single-carrier waveform, the waveform design mode has better bit error rate performance under the condition that the data rate is not changed, and a sending end does not need to know channel state information.

The present disclosure relates to a beamforming and user selection method based on a MIMO communication system assisted by distributed IRSs. The method comprises: constructing a MIMO communication system model assisted by distributed IRSs; constructing a joint optimization problem P of beamforming at a base station, phase shifts of IRSs, and a user selection strategy; decoupling the joint optimization problem P into a joint optimization subproblem P1 of the user selection strategy and the beamforming at the base station and an optimization subproblem P2 of the phase shifts of the IRSs; solving the joint optimization subproblem P1 and the optimization subproblem P2; obtaining an optimal user selection strategy, an optimal beamforming vector at the base station, and optimal phase shifts of the IRSs by alternately executing solving operations until the problem P converges, and implementing the optimal user selection strategy, the optimal beamforming vector, and the optimal phase shifts.

The application discloses an optimization method, system and device of joint antenna selection and precoding and a storage medium, and belongs to the technical field of wireless communication. The method comprises the following steps: acquiring communication data of a base station to a user in a target XL-MIMO communication system; calculating a receiving signal of the user based on the communication data; constructing a joint optimization model with the maximum sum rate as an optimization target and an antenna selection matrix and a hybrid precoding matrix at the base station as optimization variables based on the receiving signal; decomposing a solution problem of the joint optimization model into sub-problems by using an alternating direction method; alternately solving the sub-problems to obtain an optimization result; and obtaining the antenna selection matrix and the hybrid precoding matrix at the base station according to the optimization result. The application converts the antenna selection problem from integer programming into a matrix sparsity optimization problem by using the alternating direction method, effectively solves the constraint optimization problem of the key variable, and improves the spectrum efficiency of the communication system.

This invention discloses a downlink channel estimation method based on a smart reflector-assisted MIMO communication system. It constructs a downlink system model of a smart reflector-assisted large-scale MIMO communication system; constructs a row sparse matrix and substitutes it into the downlink system model, thereby transforming the smart reflector-assisted large-scale MIMO downlink concatenated channel estimation into a standard row sparse recovery problem; it uses an off-network sparse Bayesian algorithm to iteratively update the noise accuracy, the accuracy vector of E, and the off-network gap parameter; it sets an iteration update termination condition; it sets a threshold and uses this threshold to select the effective angle set of the channel; it obtains accurate channel state information based on the effective angle set; and it uses the normalized mean square error (NMSE) to determine the accuracy of the calculated concatenated channel. This invention solves the problem of reduced output signal-to-noise ratio causing performance loss in channel estimation caused by the decoupling process of converting concatenated channel estimation into a sparse signal recovery problem through pseudo-inverse operations in existing technologies.

The invention relates to the technical field of wireless communication channel estimation, and provides a model and data driven spatial non-stationary channel estimation method, which comprises the following steps: S1, constructing an XL-MIMO communication system model; s2, constructing a near-field channel model influenced by spatial non-stationarity based on an XL-MIMO communication system model; s3, an SBL4CE-Net network is constructed; s4, carrying out offline training on the SBL4CE-Net network; and S5, performing online channel estimation and reconstruction by using the network completed in the step S4. The invention provides a model and data-driven architecture SBL4CE-Net, a traditional BSBL algorithm is expanded into a deep network, complex hyper-parameters in the BSBL are adaptively learned by using the powerful nonlinear fitting capability of a neural network, the interpretability of a model-driven method is reserved, and the method has the environmental adaptability of a data-driven method.

A system (100) comprising one or more light sources (110) for illumination; an array of active antennas (120) configured to detect contextual information; and a controller (130) configured to obtain the contextual information from the array of active antenna; and control the one or more light sources based on the contextual information; wherein the array of active antennas (120) is shared with a co-located MIMO communication system, and the contextual information is related to one or more objects in an illumination area covered by the one or more light sources (110).

The invention provides a beamforming method and system for MIMO communication, a storage medium and an electronic device. The method comprises the following steps: obtaining reflection coefficients of an electromagnetic unit of an intelligent metasurface at different incident angles; constructing a reflection coefficient amplitude phase response model of the electromagnetic unit based on the reflection coefficients under the different incident angles; and beamforming of MIMO communication is realized based on the reflection coefficient amplitude phase response model. According to the beam forming method and system for MIMO communication, the storage medium and the electronic equipment, the beam forming of MIMO communication is realized by combining the incident angle and the non-uniform reflection amplitude phase response, so that the beam forming effect of the intelligent metasurface in the MIMO communication system is accurately quantified.

The invention discloses a low-cost super-large-scale MIMO (Multiple Input Multiple Output) communication system and method based on a cylindrical direct-connection antenna array. According to the system, low-cost antenna units (1) are uniformly and circularly arranged into a plurality of simple and uniform circular arrays (2), and then the simple and uniform circular arrays (2) are stacked along the side surface of a cylinder to form a cylindrical direct-connection antenna array. Each simple and uniform circular array is divided into two sub-arrays (3) with the same number of antennas, and the sub-array center antennas of different circular arrays point to different directions. The sub-arrays are connected to the radio frequency combiner (5) through the delay lines (4) with different lengths to form a path of signal output, and beams with matched orientations can be generated without analog or digital beam forming. Based on the selection matrix (6), the system can dynamically select the direct connection subarrays (3) and access a radio frequency link for baseband processing. According to the invention, the use of an expensive phase shifter is avoided, the implementation cost of ultra-large-scale MIMO is remarkably reduced, the spatial resolution and the communication performance are improved, and the problems of difficulty in implementation of dynamic beams and high cost in millimeter wave, terahertz and other high-frequency wireless communication systems are effectively solved.

The application belongs to the technical field of mine wireless communication, and discloses a method and device for optimizing the number of SIM layers in a MIMO system in a mine environment, generates a SINR calculation model of a user k based on a transmission matrix of the SIM and the number of super-intelligent surface layers in the SIM; calculates the system energy efficiency according to the SINR calculation model; takes the maximization of the system energy efficiency as an optimization problem, and the communication condition of the MIMO communication system in the mine environment as a constraint, and solves to obtain the number of super-intelligent surface layers in the SIM, the phase shift matrix and the power distribution matrix of the base station; the application integrates the number of SIM layers into the SINR calculation formula of the mine MIMO system, can accurately adapt to the transmission environment of the mine which is long and closed, multi-metal scattering and limited in spatial dimension, after introducing the layer number factor reconstruction formula, can quantify the coupling relationship of the useful signal power, interlayer interference and multipath interference under different SIM layers, greatly improves the channel modeling and SINR calculation accuracy, so that the upper limit of the system energy efficiency is fully released.

Apparatuses and methods for channel state information (CSI) reporting in next generation multiple-input multiple-output (MIMO) systems. A method performed by a user equipment (UE) includes receiving information about a CSI report, the report based on at least two components: a set of basis entities and a set of coefficients; based on the information, determining the set of basis entities and the set of coefficients; and transmitting the CSI report including at least one indicator indicating at least one of the set of basis entities and the set of coefficients. The set of basis entities is based on X dimensions. The set of coefficients is not based on the X dimensions and is from a set of convolutional-based coefficients. X is associated with the CSI report and X≥1.

The application discloses a non-orthogonal polarization MIMO communication system, and belongs to the technical field of wireless communication, which comprises a serial-parallel conversion and precoding module, a signal distribution network, a transmitting channel, a non-orthogonal transmitting array antenna, a non-orthogonal receiving array antenna, a receiving channel, a signal combination network and a MIMO signal detection module, wherein the non-orthogonal transmitting array antenna is provided with non-orthogonal transmitting antenna units, and the non-orthogonal receiving array antenna is provided with non-orthogonal receiving antenna units. The application can realize parallel transmission of multiple signal streams under various channel conditions, and improve the system transmission rate and the spectrum utilization rate.