109 results about "Hybrid beamforming" patented technology

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 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 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 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 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.

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.

Provided are a signal transmission method, a communication apparatus, a storage medium and a program product. The method comprises: determining array elements in a coprime array, wherein the array elements in the coprime array are some array elements in an antenna array of a first communication apparatus; and on the basis of hybrid beamforming, transmitting a first signal by means of the coprime array. The coprime array can achieve a larger virtual aperture by means of fewer physical array elements, or in other words, the number of equivalent virtual array elements is usually greater than the number of physical array elements. In this way, a transmitter of the first signal can use fewer array elements to implement beamforming of more signals; and a receiver of the first signal can use fewer array elements to implement DOA estimation of more signals, thereby improving the degrees of freedom of DOA estimation.

Disclosed is a system and method implemented in a wireless transmit / receive unit (WTRU) for hybrid beamforming (HBF) in a wireless environment. The WTRU may be configured to receive an indication associated with enabling an HBF Type recommendation and / or receive a configuration associated with HBF processing. The WTRU may determine a channel matrix associated with a sub-band, determine one or more feedback overhead information, and / or determine one or more HBF precoders. The WTRU may determine a preferred HBF type based on a preconfigured set of parameters that is associated with the configuration related to HBF processing, and / or determine a set of Vandermonde phases based on the preconfigured set of parameters that is associated with the configuration related to HBF processing. The WTRU may report HBF information and / or angles associated with quantization information to a base station. The WTRU may receive a second configuration.

Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) may detect a material proximate to the UE and may determine one or more properties of the material which may affect beamformed communications. The UE may transmit (e.g., based on the detected material) an indication of a switch from a codebook-based hybrid beamforming procedure to an adaptive beam weight-based hybrid beamforming procedure. The UE may receive, from a network entity, one or more reference signals to use for adaptive beam weight selection in response to the indication of the switch to the adaptive beam weight-based hybrid beamforming procedure. The UE may communicate, with the network entity, in accordance with one or more beam weights selected based on the adaptive beam weight-based hybrid beamforming procedure and the one or more reference signals.

The invention discloses a hybrid beam forming method for a communication perception integrated system, and belongs to the technical field of wireless communication. According to the invention, the problem of poor communication security of the traditional ISAC system is solved. According to the method, the sensing signal is endowed with an artificial noise function, so that the eavesdropping process of a potential eavesdropper is effectively interfered on the premise of not reducing the sensing precision, safety communication in a communication sensing integrated system is realized, and the problem of information leakage possibly caused by the direction of a sensing beam is solved; by means of the hybrid beam forming design of communication signals and sensing signals, high-precision target sensing can be achieved in a communication sensing integrated system, meanwhile, safe communication with a cooperative target is guaranteed, by designing a dynamic sub-array division method, the mapping relation between an antenna and a radio frequency chain can be adjusted according to the change of the safety rate, and the communication sensing efficiency is improved. Airspace resources are effectively utilized; and bidirectional matching of the safety rate and the beam forming design is realized. The method can be applied to beam forming of a communication perception integrated system.

Disclosed is a method and system for interference control and hybrid beamforming using multi-agent deep reinforcement learning for multiple users. The disclosed method includes performing multi-agent reinforcement learning using interference and antenna gain information that is expected based on a gain table designed using channel state information (CSI) of all user equipments; searching for an analog beamforming matrix pair corresponding to a link that maximizes antenna gain and minimizes interference between user equipments through multi-agent reinforcement learning; applying a signal-to-leakage plus noise ratio (SLNR) maximization technique that minimizes the interference between the user equipments based on the link; and optimizing transmission (Tx) power for each link based on iterative water-filling.

Provided in an embodiment of the present application are a hybrid beamforming (HBF) network-based communication method and related device, the method comprising: splitting a first total signal to obtain a first optical signal and a second optical signal, the first total signal comprising N optical signals, the N optical signals being signals obtained by using a first modulation mode, the first modulation mode comprises using an electric signal to drive the laser to change the output light intensity of the laser or loading the electric signal to the light field intensity or the light field amplitude output by the laser through an external modulator; inputting the first optical signal into a first HBF network to obtain M paths of second sub-signals; performing frequency shift on the second optical signal, and inputting the second optical signal into the first HBF network to obtain M paths of fourth sub-signals; the M second sub-signals and the M fourth sub-signals are combined in a one-to-one correspondence mode and output to M antennas after photoelectric conversion, and the phase difference between every two adjacent electric signals in M electric signals obtained after photoelectric conversion is a constant.

Certain aspects of the present disclosure provide techniques for wireless communications by a wireless device. The method generally includes determining a classification of electric field behavior of one or more antenna elements of the wireless device. The method generally includes selecting, based on the classification, between a phase-only beam weight control scheme and a phase and amplitude beam weight control scheme for hybrid beamforming using the one or more antenna elements.

The application relates to the technical field of satellite communication, and discloses a satellite-borne phased array digital-analog hybrid beamforming method, device and equipment. The method comprises the following steps: configuring a transmitting architecture of a satellite-borne phased array antenna and a double-time-scale communication frame structure; in the starting stage of each communication frame, extracting a main radio frequency subspace according to a channel of a starting time slot, generating an initial analog beamforming matrix and configuring the initial analog beamforming matrix to a phase shifter network; in each time slot in the communication frame, updating the main radio frequency subspace of a previous time slot by using incremental singular value decomposition, generating an analog beamforming matrix of the current time slot based on the updated main radio frequency subspace; in each time slot in the communication frame, generating a digital beamforming matrix of the current time slot based on a liquid neural network; and at the end of each communication frame, correcting parameters of the liquid neural network based on a loss function accumulated in the frame. The application can realize a light-weight digital-analog hybrid beamforming design, guarantee communication performance, and significantly reduce online operation burden.

The application discloses a DPD implementation method and system in a hybrid beamforming system, wherein a PA inverse transfer function parameter is estimated according to a PA baseband input signal and an output signal through a generalized memory polynomial (GMP) model, and digital pre-distortion DPD is implemented through a cascade digital pre-distortion architecture comprising a phase shifter parameter matrix module, a PA inverse transfer function module and a phase compensation module. The application significantly simplifies the hardware configuration of a feedback link, and can maintain excellent linearization performance without recalibration when the beam direction changes, and has strong robustness.

Methods, systems, and apparatus for wireless communication are described. A network entity can transmit CSI-RS to a user equipment (UE) via a configured set of Channel State Information Reference Signals (CSI-RS) resources. The UE can perform measurements on the CSI-RS and generate and transmit CSI reports based on the measurements. The CSI report can indicate a CSI-RS Resource Indicator (CRI), which indicates a CSI-RS resource from the configured CSI-RS resources and can be used for pre-decoding using hybrid beamforming, since each CSI-RS resource can correspond to an analog beam. Different groups of CSI-RS resources can be associated with the same corresponding antenna port index at the network entity. The UE can report one or more subsets of CSI-RS resources (e.g., one or more CRIs), where each subset of CSI-RS resources includes one CSI-RS resource from each group, and where each subset can be associated with the same analog beam.

This application discloses a downlink hybrid beamforming precoding method, apparatus, and active antenna unit (AAU). The method involves: obtaining a first channel estimation matrix from the uplink signals transmitted by a terminal device using antenna units connected to multiple digital receiving channels. This achieves uplink channel estimation in a single uplink channel measurement, reducing resource consumption compared to related technologies that require multiple analog beam switching measurements. Then, the analog beamforming weights are obtained from the hybrid digital-analog precoding matrix obtained through matrix decomposition. The channel estimation for the corresponding analog beam is removed from the first channel estimation matrix to obtain a second channel estimation matrix. Beamforming is performed based on the second channel estimation matrix to obtain the digital beamforming weights. Downlink hybrid beamforming precoding is then performed on at least one hybrid digital-analog transmit channel based on the digital and analog beamforming weights, reducing complexity and achieving superior hybrid beamforming performance.

The invention relates to the technical field of satellite communication, and discloses a satellite-borne phased array digital-analog hybrid beam forming method, device and equipment. Comprising the following steps: configuring a transmitting architecture of a satellite-borne phased-array antenna and a dual-time-scale communication frame structure; in the initial stage of each communication frame, a main radio frequency subspace is extracted according to a channel of an initial time slot, and an initial analog beam forming matrix is generated and configured to a phase shifter network; in each time slot in the communication frame, updating the main radio frequency subspace of the previous time slot by adopting incremental singular value decomposition, and generating an analog beam forming matrix of the current time slot based on the updated main radio frequency subspace; generating a digital beam forming matrix of the current time slot based on the liquid neural network in each time slot in the communication frame; and correcting parameters of the liquid neural network at the end of each communication frame based on the loss function accumulated in the frame. According to the invention, lightweight digital-analog hybrid beamforming design can be realized, the communication performance is ensured, and the online operation burden is significantly reduced.

The present disclosure provides systems, methods, and devices for wireless communication that support radio frequency (RF) component preferences in hybrid beamforming operations at millimeter wave (mmWave) bands. In a first aspect, a method of wireless communication includes sending a capability message to a network entity, the capability message including an identification of a constrained RF architecture of a UE; communicating an indication of communication performance loss attributable to the use of a non-preferred set of transmit states; and performing communication with the network entity at the mmWave frequency according to the transmission state selected by the network entity. Other aspects and features are also claimed and described.

The invention discloses a multi-state transmitter linearization method and system based on amplitude phase clustering, which are applied to a hybrid beam forming transmitter with a local feedback loop, and the method comprises the following steps: firstly, collecting a multi-state main beam signal; converting the signal to a frequency domain, extracting a logarithmic amplitude feature and a robust phase feature subjected to difference and de-mean processing, and constructing and standardizing a joint feature vector; clustering is carried out by using a weighted Euclidean distance introducing an adjustable balance factor, a mapping relation from a state to clusters is established, and a public digital pre-distortion model is trained for each cluster; and finally, querying the mapping relation according to the real-time working state of the transmitter, and calling a corresponding DPD model to complete signal pre-distortion. According to the method, nonlinear and linear time delays are decoupled through frequency domain features, the calculation complexity is remarkably reduced, the robustness of time synchronization errors and the state classification precision are improved, and efficient and accurate linearization of a multi-state transmitter is achieved.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Apparatuses and methods for a channel state information (CSI) reporting restriction for hybrid beamforming. A method performed by a user equipment (UE) includes receiving information including a radio resource control (RRC) parameter, codebookType set to 'typeII-r16', related to Ks CSI reference signal (CSI-RS) resources, where Ks > 1, and including a value of M, where M∈{1,2}and measuring, based on the information, the Ks CSI-RS resources. The method further includes determining, based on the information, a CSI report associated with M CSI-RS resources out of the Ks CSI-RS resources and transmitting the CSI report. The CSI report includes M CSI-RS resource indicators (CRIs), M precoding matrix indicators (PMIs), and M channel quality indicators (CQIs).

This invention discloses a deep learning-based large-scale MIMO hybrid beamforming method that can achieve hybrid beamforming using imperfect channel state information. This method is applicable to single-base station multi-user scenarios. It employs an SV millimeter-wave channel model to generate a large amount of perfect channel state information as a dataset. The perfect channel state information is then used to perform channel estimation using a sparse reconstruction channel estimation algorithm to obtain imperfect channel state information. A neural network model is constructed, with imperfect channel state information and noise power as inputs, and digital beamforming matrices and analog beamforming matrices as outputs. Unsupervised training is performed using the negative total downlink rate as a loss function. The converged neural network model is then tested with imperfect channel state information and noise power as inputs. Compared with the traditional OMP algorithm, this method exhibits lower time complexity and better performance.

The application discloses a kind of based on storage optimization's hybrid beam forming method, system and storage medium, its method includes steps: according to the number of radio frequency link, antenna quantity and channel state calculation transmitting end hybrid precoding matrix constraint condition;According to constraint condition, the objective function of transmitting end hybrid precoding matrix optimization is established;According to the relationship of time delay and / or spectral efficiency and / or memory occupancy and quasi-newton method storage capacity calculation optimal storage capacity;According to the optimal storage capacity corresponding finite memory quasi-newton method, the optimal solution of transmitting end hybrid precoding matrix optimization objective function is calculated;According to the optimal solution of transmitting end hybrid precoding matrix optimization objective function, transmitting end hybrid precoding matrix is obtained and is used for hybrid beam forming.The application solves the problem that the system performance of existing hybrid beam forming method is poor and the calculation time delay is high.

The invention belongs to the field of 6G wireless communication, and particularly relates to a low-complexity near-far field broadband millimeter wave flux-inductance-calculation integrated beam forming method. Different from a near-field communication, sensing and calculation integrated system focused on a single-antenna receiving user in the prior art, the invention provides two schemes, namely a full-digital beam forming scheme suitable for the near-field and far-field broadband communication, sensing and calculation integrated system and a hybrid beam forming scheme based on a multi-beam technology, by optimizing a mean square error calculated in the air, and the first scheme is a full-digital beam forming scheme suitable for the near-field and far-field broadband communication, sensing and calculation integrated system. Compared with the first full-digital scheme, the second multi-beam hybrid beam forming scheme can reduce the overhead of a radio frequency link and can also effectively reduce the calculation complexity of the algorithm. Simulation experiments show that benefited from the proposed approximate channel model with relatively high precision, the hybrid beam forming scheme suitable for the far and near field broadband sensing calculation integrated system, provided by the invention, has good performance and extremely low calculation complexity, and is suitable for practical application scenarios.