11 results about "Mimo communication systems" patented technology

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.

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 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 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 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.