148 results about "Hybrid beamforming" patented technology

Apparatuses, systems, and techniques that utilize a neural network to jointly infer signal parameters to direct and transmit wireless signals. In at least one embodiment, one or more neural networks are trained, using reinforcement learning techniques, to infer hybrid beamforming parameters used by one or more devices to transmit wireless signals.

The invention discloses a near-field flux-sensing integrated Bayesian Cramer-Rao bound beamforming optimization method, which aims at minimizing the Bayesian Cramer-Rao bound of an extended target response matrix, and constraint conditions comprise the maximum transmitting power of a base station, the minimum signal to interference plus noise ratio requirement of a communication user and the minimum energy efficiency of a system. Auxiliary variables are introduced, an original optimization problem is converted into an equivalent full-digital beam forming matrix optimization problem, and iteration is carried out by adopting a sequential convex approximation method until convergence is carried out to obtain a local optimal solution; aiming at the local optimal solution, constructing an optimization problem by using a method of approaching an equivalent full-digital beam forming matrix by using a hybrid beam forming matrix; and an analog beam forming matrix and a digital beam forming matrix are obtained through an alternate optimization method. According to the method, the Bayesian Cramer-Rao bound minimum transmitting beam design problem of the near-field communication and sensing integrated system is researched, and sensing of an extended target can be realized under the condition that the communication energy efficiency of the system is met.

Systems, methods, and computer-readable media are provided for hybrid beamforming. An example method can include determining a plurality of digital beamforming weights associated with a plurality of digital beamforming paths between digital beamformers and groups of analog beamforming circuits in a phased array antenna, each digital beamforming path being coupled to a group of analog beamforming circuits and each analog beamforming circuit being coupled to a respective set of antenna elements of the phased array antenna, and determining analog beamforming weights associated with the groups of analog beamforming circuits. The analog beamforming weights are estimated to put analog beamforming paths associated with the groups of analog beamforming circuits in a desired phase and gain relationship with each other. The method can include varying, based at least partly on the analog beamforming weights, a signal phase shift across the analog beamforming paths associated with the groups of analog beamforming circuits.

For an O-RAN system, supported hybrid beamforming configurations are indicated based on a number of analog ports, a number of digital ports, a number of analog ports per transceiver, and supported codebooks. A hybrid beamforming configuration to be employed includes control bit vectors for phase-shifters, each control bit vector mapped to a phase value, an in-phase (I) value and a quadrature (Q) value. The hybrid beamforming configuration may include analog and digital beamforming parameters applicable to frequency bands or subbands or joint phase-time array parameters.

The invention discloses a rate splitting assisted near-field flux-sensing integrated hybrid beam forming method, and relates to the technical field of wireless communication and novel multiple access. The designed hybrid beam forming method comprises the following four steps: S1, constructing a near-field communication and sensing integrated network with a hybrid beam forming architecture, and establishing a near-field communication and near-field sensing channel model; s2, the base station sends required data to a communication user by using a rate splitting multiple access technology; s3, the base station collects echo signals reflected by the sensing target to carry out target detection; s4, establishing an optimization problem aiming at meeting the target sensing requirement and maximizing the communication rate, and designing a double-layer rotation optimization algorithm by using penalty dual decomposition, weight minimum mean square error and quadratic transformation methods to jointly process variables such as a receiving filter, digital beam forming, analog beam forming and common rate allocation; according to the invention, the communication and sensing rate of the communication and sensing integrated network can be effectively improved.

The invention discloses a multi-target CRB minimization method based on near-field flux and inductance integration of rate splitting, and relates to the technical field of wireless communication and novel multiple access. The method comprises the following four steps: S1, establishing a near-field communication channel and a near-field sensing channel according to a spherical wave propagation model; s2, the base station encodes information required by a communication user into public and private information streams by using a rate splitting multiple access technology and sends the public and private information streams to the user side; s3, according to the array response vector of the near-field sensing channel, deriving CRBs for simultaneously estimating angles and distances of a plurality of sensing targets; and S4, establishing an optimization problem by satisfying the communication rate requirement and minimizing the CRB of multiple targets, and jointly optimizing the hybrid beam forming matrix and the common rate allocation variable by using a penalty dual decomposition and block coordinate descent method. The method can achieve the simultaneous estimation of the distances and angles of a plurality of sensing targets, and effectively reduces the estimation error.

Embodiments of the present disclosure relate to hybrid beamforming. A plurality of time delay elements is used to perform analog beamforming. Each time delay element is configured to apply the same time delay at different frequencies. The plurality of time delay elements is coupled to at least one RF chain to receive signals. Each antenna in an antenna array is configured to be selectively connected to one of the plurality of time delay elements based on a target configuration of a connection between the plurality of time delay elements and the antenna array. In operation, the target configuration is determined based on time delay information concerning the plurality of time delay elements and channel information concerning a physical channel over which the signals are to be transmitted.

The invention provides a signal sending method, electronic equipment and a computer readable storage medium. The method and the device are applied to the technical field of communication and are used for solving the problems of poor transmission efficiency and unstable user service channel performance caused by the fact that the existing hybrid beam forming technology cannot solve the compatibility problem of various analog beams. According to the signal sending method, a certain antenna array can be decoupled into a plurality of sub-arrays through acquired configuration information, and a controller can control the plurality of sub-arrays to output various types of analog beams at the same moment. Under the condition that the structure of the phased-array antenna is not changed, the compatibility problem of various types of analog beams can be solved, and the signal coverage range is expanded. Meanwhile, the same antenna array outputs a plurality of types of analog beams, so that a plurality of service requirements can be met at the same time, and the transmission efficiency is improved.

The invention discloses a novel hybrid beamforming system and a hybrid precoding method, and relates to the field of wireless communication, and the system comprises a transmitting end and a receiving end. The transmitting end comprises a baseband coding module, a radio frequency link, a front switch network, a phase shifter network, a rear switch network and a transmitting antenna array which are arranged in sequence; a digital-to-analog converter is arranged in the radio frequency link; the baseband coding module is used for carrying out digital pre-coding on a signal of a transmitting end, and the front switch network, the phase shifter network and the rear switch network are used for carrying out analog pre-coding on the signal of the transmitting end. According to the invention, the flexibility of hardware in hybrid beam forming can be improved, and the system power consumption is reduced.

This invention presents a method and systems for beamforming in wireless communication comprising a base station with a plural of antennas and radio frequency transmitting and receiving chains, a plural of base band transmitting paths and base band receiving paths, and a processor that constructs a subspace for each user equipment using the principal angle information contained in partial channel state information obtained on channels associated with a part of the BS antennas, derives an analog beamforming matrix and / or an analog combining matrix from the subspaces of all the user equipment selected for communication with the base station to achieve analog beamforming, and further performs beamforming at the base band.

A method includes determining one or more delay values and one or more phase shift values for generation of multiple desired frequency-dependent analog beams. The method also includes configuring one or more true-time delay (TTD) elements and one or more phase shifters of a transceiver based on the one or more delay values and the one or more phase shift values, the transceiver having one or more radio-frequency (RF) chains connected to multiple antennas via the one or more TTD elements and the one or more phase shifters. The method also includes operating the transceiver to generate the multiple desired frequency-dependent analog beams.

An apparatus may include antenna elements arranged in tiles. The apparatus may include analog beamforming elements coupled with the plurality of antenna elements and analog to digital converters (ADCs) coupled with the analog beamforming elements. The apparatus may include digital signal processing (DSP) layers, where a first DSP layer includes first combining cells for combining signals from the ADCs and a second layer includes combining cells for combining signals from the first combining cells. The combining cells may be configurable for linearly weighting signals input to the combining cells or applying a true time delay function to the signals input to the combining cells. The apparatus may include a signal processing manager coupled with the plurality of DSP layers that determines one or more of the plurality of DSP layers to implement the true time delay based on one or more characteristics of the radio frequency beam.

The invention discloses a signal processing technology, and particularly discloses a device, a system and a technology for guiding and transmitting wireless signals by utilizing a neural network to jointly infer signal parameters. In at least one embodiment, one or more neural networks are trained using reinforcement learning techniques to deduce hybrid beamforming parameters used by one or more devices to transmit wireless signals.

This disclosure relates to a wideband extremely large array antenna system and an OFDM-based hybrid beamforming for hybrid-field interference control of the same. The wideband extremely large array antenna system for OFDM-based hybrid beamforming of this disclosure may include a transmitter having a plurality of transmit antennas, and a receiver capable of communication with the transmitter and having a plurality of receiving antennas, and the system may be configured to perform a first step for designing a common analog beamforming matrix for all subcarriers between the transmitter and the receiver, and a second step for designing a baseband beamforming matrix for each of the subcarriers.

Methods, systems, and devices for wireless communication are described. In some systems, a first device may calculate hybrid beamforming parameters for a second device. The first device may calculate the hybrid beamforming parameters based on an estimation of channel information associated with at least a portion of a communication link at the second device via a machine learning model. Inputs to the machine learning model may include measured model parameters based on measurements performed by one or more other devices. The first device may transmit a message to the second device to indicate the hybrid beamforming parameters, which may include an input for a beam refinement process. The second device may perform the beam refinement process based on the hybrid beamforming parameters to identify one or more beams. The first and second devices may communicate using the one or more beams based on the beam refinement process.

The invention provides a robust hybrid beam forming method for cooperative communication of multiple low-orbit satellites, which relates to the technical field of satellite communication and comprises the following steps of: S1, constructing a joint optimization problem for joint beam forming and user scheduling; s2, the minimum channel gain of all users is maximized, when the number of satellite antennas is larger than a preset threshold value, the step S3 is executed, and otherwise, the step S5 is executed; s3, constructing a minimum signal to interference plus noise ratio maximization problem, and solving to obtain an optimal all-digital precoding matrix; s4, based on the optimal all-digital precoding matrix, constructing a digital-analog hybrid precoding matrix design problem to obtain a digital-analog hybrid precoding matrix; and S5, constructing and solving an analog pre-coding matrix design problem based on maximization of the signal leakage and noise ratio to obtain an optimal analog pre-coding matrix, and then solving an optimal digital pre-coding matrix. According to the invention, the overall performance and the service quality of the multi-low-orbit satellite communication network can be obviously enhanced.

The invention discloses a nonlinear hybrid beam forming method and system in unmanned aerial vehicle communication and a storage medium. The method comprises the following steps: calculating a constraint condition of a hybrid precoding matrix of a transmitting end; constructing a target function of an analog precoding matrix of the transmitting end according to constraint conditions of the hybrid precoding matrix of the transmitting end and requirements of an optimal precoder; the optimal gradient iteration step number is calculated according to the relation between the historical gradient information and the time delay / or the spectrum efficiency and / or the energy efficiency; calculating an optimal solution of a transmitting end simulation precoding matrix objective function according to the optimal gradient iteration step number; obtaining a transmitting end hybrid precoding matrix according to the optimal solution of the transmitting end analog precoding matrix objective function; and performing hybrid beam forming according to the hybrid precoding matrix of the transmitting end. The method solves the problem that the loading capacity requirement and the real-time requirement of unmanned aerial vehicle communication cannot be met due to the fact that an existing millimeter wave hybrid beam forming technology is insufficient in spectrum efficiency, high in time delay and low in energy efficiency.

The invention discloses a symbiotic radio network hybrid beamforming method and system based on assistance of a reconfigurable holographic surface (RHS), and the method comprises the steps: constructing a communication architecture with the RHS as a transmitting antenna, and eliminating dual path loss; a dual-mode signal demodulation strategy is designed, the strategy I adopts MMSE-SIC combined with MRC technology to realize demodulation of an environment signal, deletion of a received signal from an SN through SIC and demodulation of a backscattering signal one by one, and the strategy II adopts design of the environment signal and a transmission frame structure thereof, combination of zero-forcing beamforming and demodulation of the backscattering signal to avoid transmission of an environment signal demodulation error; the transmitting power is optimized through a gradient descent method, the digital beam forming non-convex constraint is processed through fractional programming, the RHS amplitude control matrix is optimized through a sequence parameter convex approximation algorithm, and efficient alternating optimization of the three is achieved. The method has the advantages that energy efficiency of a multi-user scene is improved, system power consumption is reduced, dynamic network topology is supported, high reliability is kept, and limitation of an existing single-user scheme is broken through.

The invention provides a beam forming optimization method for an ISAC system based on a reconfigurable antenna structure, and the method comprises the steps: firstly, designing an energy-saving DFBS based on a TTD reconfigurable antenna architecture based on a downlink terahertz large-scale MIMO ISAC system; the DFBS is switched between the modular MIMO and the uniform MIMO by dynamically controlling the antenna sub-arrays; in the sensing stage, modular MIMO is deployed, and a larger array aperture is realized by using fewer antennas; the beam dispersion effect at the main lobe and the grating lobe is utilized to realize rapid user perception; in the communication stage, uniform MIMO is adopted, and a TTD network is activated to reduce the near-field beam dispersion effect; then, based on the channel state information obtained in the sensing stage, proposing a joint optimization problem of analog / digital hybrid beam forming and TTD network delay so as to maximize a system sum rate; finally, analog beam forming and time delay are designed through a serial time delayer method, and then alternating iteration optimization solution is carried out on digital beam forming.

The invention discloses a low-altitude aircraft trajectory detection and channel tracking method based on super-large-scale MIMO, and the method comprises the steps: firstly transmitting a pilot signal to a base station by a user aircraft, designing a beam forming algorithm under a full-connection architecture, and then designing a beam forming algorithm capable of obtaining a channel image with obvious key point features under low pilot overhead, obtaining a channel image based on the hybrid beam forming architecture; the method comprises the following steps: designing an image key point detection algorithm, obtaining position information of an aircraft in an observation area at a first moment and performing fine adjustment, designing an efficient channel tracking module at a subsequent moment, then completing channel reconstruction and trajectory matching based on the estimated position information of the aircraft, and finally designing a trajectory-based low-altitude aircraft supervision algorithm. And track error detection, aircraft signal interruption detection, unauthenticated intrusion aircraft detection and the like of the aircraft in the authentication range of the base station are realized. According to the method, the uplink channel can be quickly estimated, and the real-time performance and reliability of a communication link between the aircraft and the base station are guaranteed.

The invention discloses a near-field ISAC system channel estimation and waveform optimization method based on DPSS. The method comprises the following steps: establishing a near-field ISAC channel and a signal model; designing a channel estimation scheme; designing a joint communication perception optimization problem; based on the designed joint communication perception optimization problem, a joint optimization algorithm under a full-digital architecture is designed; and then designing a joint optimization algorithm under the hybrid beam architecture based on the designed joint communication perception optimization problem. Compared with a DFT codebook structure and a spherical codebook structure, the method has higher energy concentration and lower inter-column correlation, energy leakage can be effectively reduced, channel sparsity is improved, and channel estimation precision is remarkably improved. Besides, the DPSS structure is more suitable for near-field propagation characteristics, and high-precision channel estimation is realized under limited pilot frequency resources in combination with a compressed sensing method, so that the communication and sensing performance is improved in a near-field ISAC system.

The invention relates to a hybrid beam forming method based on a terahertz large-scale MIMO-ISAC system, and belongs to the technical field of wireless communication. The method comprises the following steps: firstly, determining channel state information of a base station side and a user side and the direction of a target; solving an optimal communication beam former and an optimal radar beam former according to the channel state information and the target user direction; combining the communication performance index-spectrum efficiency and the radar performance index-space spectrum matching error by using a weight factor to construct an optimization problem; then, the optimization problem is converted into Euclidean distance minimization, in the process, unitary matrix assistance is introduced, and an optimal communication beam former, an optimal radar beam former and a hybrid beam former are unified to the same dimension; and finally, solving the hybrid beam former by adopting an alternating optimization algorithm. According to the invention, high energy consumption caused by hardware introduction is reduced, high array gain loss caused by a beam splitting effect is eliminated, and the implementation mechanism is simple.

The invention discloses a large-scale hybrid beam forming array construction method based on a passive beam forming network, and belongs to the field of radio frequency systems. According to the method, the array is divided into a plurality of active sub-modules (each sub-module comprises a radiation unit array, a passive beam forming network, a multi-channel radio frequency module and a digital-to-analog conversion module), and the layered beam forming technology of a digital baseband processing module is combined, so that the balance of high performance and low complexity is realized. The method specifically comprises the following steps: 1) dividing a coverage space into a plurality of sub-regions by using a passive beam forming network, localizing a digital beam forming matrix into a block diagonal matrix, and reducing the calculation amount; 2) a large-scale array is constructed through flexible expansion of sub-modules, and full-aperture gain is ensured; and 3) the radio frequency channels of the idle sub-regions are dynamically turned off so as to save energy consumption. In scenes such as 5G / 6G millimeter wave communication, radar imaging and the like, the system power consumption and the calculation complexity are remarkably reduced, and meanwhile, the performance of a full-digital beam forming array is approached.

The disclosure provides an example Full Duplex-based ISAC optimization system. The system includes: (a) a Full Duplex (FD) massive MIMO Base Station (BS) node configured to operate at mmWave frequencies and having a plurality of transmitter antenna elements and a plurality of receiver antenna elements configured to communicate in a DownLink (DL) direction with a plurality of mobile users that each have a plurality of antenna receiver elements, where the plurality of RX antenna elements of the FD massive MIMO BS node are configured to receive DL signals reflected by a plurality of radar targets, and (b) at least one processor detects the plurality of radar targets randomly distributed within a communication environment based on the reflected DL signals, where the processor determines an estimation of a Direction of Arrival (DoA), a range, and a relative velocity for radar targets while optimizing a DL communication rate to the mobile users.

The invention discloses an RIS-assisted hybrid beam forming millimeter wave communication system and method, and the system comprises a base station which is provided with Nt uniform planar array antennas; the base station adopts a hybrid beam forming structure, and Nt transmitting antennas share NRF radio frequency links; the RIS is provided with M uniform planar array reflection elements and can adjust a reflection coefficient according to real-time channel state information; the user terminal communicates with the base station through the RIS; according to the method, beam forming and RIS reflection coefficient configuration are mixed by adopting a joint optimization method based on a codebook, so that the calculation burden in the channel estimation and beam forming processes is reduced. According to the invention, the RIS is introduced into the hybrid beam forming millimeter wave communication system, so that the problem of communication interruption caused by shielding is relieved. The invention further provides a joint optimization method based on the codebook, and the joint optimization method is used for hybrid beam forming and RIS reflection coefficient configuration so as to reduce the calculation burden in the channel estimation and beam forming process.

The present invention relates to a hybrid beamforming device for ultrasound therapy, and an operating method therefor, the device using tile chips, which include circularly arranged semiconductor ultrasound chips, so as to be capable of modular beam focusing, and comprising: tile chips including circularly arranged semiconductor ultrasound chips formed from a plurality of annular array channels, and a control unit, which links with multi-focusing of annular arrays in the depth direction caused by beamforming of the tile chips, so as to control the position of the tile chips, and thus focus, at a target point, ultrasound beams generated at the tile chips.

The invention provides an active element selection method for a hybrid RIS-assisted cellular-removal MIMO system, and the method comprises the steps: building a channel model, deducing an expression of a downlink reachable rate, building a joint optimization problem of an AP beam matrix, a hybrid RIS beam matrix and an active RIS element position, and carrying out the joint optimization of the positions of the AP beam matrix, the hybrid RIS beam matrix and the active RIS element. AP power constraint, active RIS power constraint and RIS unit mode constraint serve as constraint conditions of the joint optimization problem, and the joint optimization problem is converted into an AP beam matrix optimization problem and a hybrid RIS beam forming matrix-active element position optimization problem by utilizing Lagrange dual transformation and multi-dimensional complex quadratic transformation; a convex optimization solver is adopted to alternately solve until convergence, an optimization result is obtained, and a precoding matrix of an AP, phase shift of an RIS and power and position selection of an active element are adjusted according to the optimization result, so that the sum rate of a user of the RIS-assisted cellular-removal MIMO system is maximized, and the performance of the cellular-removal MIMO system is improved.

The invention discloses a communication perception symbiotic digital analog hybrid beam generation method and device, and relates to the field of wireless communication or other related technical fields, and the method comprises the steps: building a communication signal model and a perception signal model; for the communication signal model and the sensing signal model, adopting a Cramer-Rao lower bound of target angle estimation as a measurement parameter of sensing performance, and constructing a beam forming matrix optimization problem under the constraint of the measurement parameter; the beam forming matrix optimization problem is simplified by adopting a fractional programming algorithm and a Shuerr complement condition, and the beam forming matrix optimization problem is iteratively solved by adopting a penalty dual decomposition algorithm; and based on the optimized digital beam forming matrix and analog beam forming matrix, generating a digital-analog hybrid beam in an Internet of Vehicles communication sensing scene. According to the invention, the technical problem that a communication structure obtained by an all-digital array cannot simultaneously support efficient communication and high-precision remote sensing in the prior art is solved.

Methods and an apparatus are disclosed for orthogonal frequency division multiplexing (OFDM) and / or single carrier (SC) based multiple input multiple output (MIMO) hybrid beamforming (HBF) including determining the capabilities of a station (STA) such as the capability for hybrid beamforming, single user MIMO (SU-MIMO), and multi user MIMO (MU-MIMO). An announcement frame with a control trailer may be transmitted to signal a transmission configuration. The announcement frame may be a grant frame or a request to send (RTS) frame if the STA is SU-MIMO capable or a RTS frame or a DMG clear to send (CTS)-self frame if the STA is MU-MIMO capable. One or more directional multi-gigabit (DMG) antennas may be configured based on the announcement frame. One or more sounding symbols may be transmitted and feedback may be provided based on the sounding symbols. An HBF signal may be transmitted based on the sounding symbol(s) and / or feedback.

The application relates to a kind of OFDM-based broadband millimeter wave relay system hybrid beamforming design method, comprising: calculating the receiving signal of target node under the condition that each node is all digital processor;The receiving signal is processed using minimum mean square error criterion in target node, and MMSE matrix is calculated;Using the equivalence between maximizing sum rate and minimum weighted mean square error algorithm, the maximum sum rate problem is converted into minimum weighted mean square error problem according to MMSE matrix;Deep unfolding neural network is used to solve the minimum weighted mean square error problem, and all digital processor of each node is obtained;Each node's all digital processor is decomposed based on least square decomposition algorithm, and hybrid beamforming matrix of each node is calculated, the complexity of the algorithm is greatly reduced, and the running time of the system can be effectively improved.