19 results about "Mimo communication systems" patented technology

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 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 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 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.

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.

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.