52 results about "Hybrid beamforming" patented technology

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 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 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 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 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.

A hybrid beamforming design method may include: designing initial radio frequency beamforming; designing baseband beamforming; and calculating a performance index; calculating a first performance index based on first radio frequency beamforming and first baseband beamforming; calculating a first matrix related to an input of the first radio frequency beamforming; designing second radio frequency beamforming on the basis of the first matrix; and designing second baseband beamforming on the basis of the second radio frequency beamforming.

The application provides an antenna array beamforming method and system based on a radiation pattern, comprising a self-encoder network and a beamforming matrix; the self-encoder network comprises a self-encoder module and a vector-precoding module. The self-encoder network directly learns the nonlinear mapping relationship between the beamforming matrix and the target pattern, the network is trained by using data and the pattern features are extracted, so that the model can adapt to different hardware architectures such as full-digital beamforming, analog beamforming and hybrid beamforming, the fast mapping from the normalized pattern to the beamforming matrix is realized, the real-time deployment demand in a dynamic environment is met, the real-time performance, adaptability and prediction accuracy of array comprehensive beamforming are effectively improved, and a new technical path is provided for the wireless communication system to realize efficient and low-latency beamforming in a complex environment.

The invention discloses a single-cell millimeter wave downlink multi-user MIMO (Multiple Input Multiple Output) system hybrid beam forming method based on GPU (Graphics Processing Unit) optimization, and relates to a wireless network technology. The method comprises the following steps: firstly, constructing a system model, establishing an optimization problem with maximization of total spectrum efficiency as a target, introducing an auxiliary variable and a WMMSE algorithm, and equivalently converting the optimization problem into an augmented Lagrangian problem adaptive to a PDD algorithm; an iteration variable is quantized from FP32 to FP16 through a GPU, a variable updating sub-problem is divided into parallel modules without data dependence, and parallel iteration of internal circulation is achieved by adopting multi-stream asynchronous parallel and CUDA kernel function design of a single user corresponding to a single thread block; performing inverse quantization after iterative synchronization to recover precision, judging internal convergence and calculating a coupling constraint violation degree, and updating a dual variable or a penalty parameter and a constraint threshold value according to the degree; and finally, outputting an optimal analog precoding matrix and an optimal digital precoding matrix during external cyclic convergence. And the real-time communication requirement of the millimeter wave multi-user MIMO system is met.

An apparatus configured to process, based on signals received from a cell of a network, a configuration for channel state information (CSI) reporting including a CSI reference signal (CSI-RS) resource set comprising KS CSI-RS resources, an indication of M CSI-RS resources of the CSI-RS resource set to be included in a CSI report, an indication of MR CSI-RS resources of the CSI-RS resource set for which CSI feedback is to be generated, and a codebook type for the CSI report, measure CSI-RS transmitted in each of the KS CSI-RS resources including the MR CSI-RS resources and remaining (KS-MR) CSI-RS resources to determine CSI of each of the KS CSI-RS resources and generate CSI feedback for each of the MR CSI-RS resources regardless of the RSRP determined for the different beams and CSI feedback for each of the (M-MR) CSI-RS resources that are selected for reporting.

The application provides an angle domain hybrid beamforming method suitable for a cell-free millimeter wave MIMO system. Firstly, the method uses angle domain hybrid beamforming instead of full digital beamforming to reduce hardware power consumption; secondly, a user-centered service scheme is adopted in the system, and the transmission power and the power consumption of the backhaul line are reduced through reasonable user association. The method respectively uses variables to represent whether the user is associated with the access point, the beam selection of different access points and the digital beamforming vector, then models the system user association and beamforming design problem as an energy efficiency maximization problem under the user service quality constraint and the power consumption constraint; through sparse approximation, Dinkelbach method, equivalent transformation and first-order Taylor expansion, the initial non-convex problem is converted into a convex problem which can be solved iteratively to obtain the optimal energy efficiency of the system. Compared with the early centralized MIMO system and the full digital beamforming method, the application improves the system energy efficiency while ensuring the user service quality.

Embodiments of the present application provide a communication method based on a hybrid beamforming (HBF) network, and a related device. The method comprises: splitting a first total signal to obtain a first optical signal and a second optical signal, wherein the first total signal comprises N optical signals, the N optical signals are signals obtained by using a first modulation scheme, and the first modulation scheme comprises using an electrical signal to drive a laser to change an output light intensity of the laser, or using an external modulator to load an electrical signal onto a light field intensity or a light field amplitude of light outputted by a laser; inputting the first optical signal into a first HBF network to obtain M second sub-signals; performing frequency shifting on the second optical signal, and inputting the second optical signal into the first HBF network to obtain M fourth sub-signals; and combining the M second sub-signals and the M fourth sub-signals in a one-to-one correspondence manner, and outputting the combined signals to M antennas after photoelectric conversion, wherein a phase difference between two adjacent electrical signals among the M electrical signals having undergone photoelectric conversion is a constant.

The application discloses a predistortion system and method for an analog full-connection hybrid beamforming system, and relates to the technical field of mobile communication, and comprises a beamforming coefficient network, an input end of the beamforming coefficient network receives input signals of each channel; a nonlinear base function generation module, the nonlinear base function generation module comprises a plurality of one-dimensional nonlinear base functions, an input end of the one-dimensional nonlinear base function is connected with an output end of the beamforming coefficient network, and receives input signals of equivalent power amplifiers of each channel; a plurality of space domain response modules, an input end of the space domain response module is connected with an output end of the one-dimensional nonlinear base function; a plurality of multipliers, weighted linear superposition signals output by the space domain response module are multiplied with respective coefficients by using different multipliers to obtain different results; and an adder, different results are added by using the adder to obtain a predistortion signal. The application can reduce the technical complexity of DPD in the analog full-connection hybrid beamforming system.

Techniques for wireless communication are disclosed. In an aspect, a first network node receives one or more reference signals from a second network node on a plurality of receive (Rx) radio frequency (RF) chains of the first network node, where the plurality of Rx RF chains are associated with a plurality of antenna elements of an antenna array of the first network node, where the plurality of Rx RF chains are associated with the plurality of antenna elements. Each Rx RF chain of an M plurality of Rx RF chains of the plurality of Rx RF chains is associated with an M plurality of consecutive antenna elements of the plurality of antenna elements, where each antenna element of the M plurality of consecutive antenna elements overlaps an adjacent M plurality of consecutive antenna elements, and where M is an integer greater than 1.

The application provides a resource coordination optimization method and device for integrating sensing and communication in a MU-MIMO system, and relates to the technical field of wireless communication. The method comprises the following steps: establishing a communication-sensing performance coupling model, converting the maximization of communication rate and the minimization of radar beam matching error into a multi-objective optimization problem through the joint representation of subcarrier level beam direction and resource multiplexing relationship; constructing a sensing accuracy constraint system based on partial subcarrier multiplexing, screening multiplexing subcarriers through beam direction similarity measurement, and separating communication dedicated resources and communication sensing multiplexing resources; designing a hierarchical iterative optimization mechanism under a hybrid beamforming architecture, taking each iteration for solving the trade-off problem of communication rate and beam adaptation as a layer of a deep neural network, and optimizing the weight and step length through back propagation. The application guarantees the multi-user communication rate, optimizes the target sensing accuracy, and reduces the hardware implementation complexity of large-scale antenna systems.

The application discloses a MIMO hybrid beamforming method based on multi-behavior deep reinforcement learning, comprising the following steps: collecting a millimeter wave environment channel through a channel feature information collection module; the environment channel comprises information of a channel feature matrix, a sending end module matrix and a receiving end module matrix; taking the channel feature matrix, the sending end module matrix at the previous moment and the receiving end module matrix at the previous moment as state input of a pre-trained deep reinforcement learning network model, and outputting the sending end module matrix at the current moment and the receiving end module matrix at the current moment; and performing MIMO hybrid beamforming based on the sending end module matrix at the current moment and the receiving end module matrix at the current moment. The application adopts the hybrid beamforming technology at the base station and the mobile terminal to make the directivity of the antenna array better and the energy more focused, so that the signals received by the user end are more concentrated, and the communication quality is more stable and reliable.

This invention discloses a precoding method for power amplifier distortion-resistant multi-antenna systems, belonging to the field of wireless communication and radar sensing fusion technology. This invention is mainly applied to integrated sensing systems. Compared with traditional integrated sensing systems that do not consider power amplifier nonlinearity, this invention incorporates the power amplifier nonlinearity into the system performance, providing a received signal model and sensing and rate indices under power amplifier distortion conditions. Compared with classical precoding algorithms, this invention considers the impact of power amplifier distortion, resulting in superior performance in practical systems. Furthermore, this invention uses alternating optimization and manifold optimization to solve the non-convex problem of rate maximization, and employs a two-stage solution, enabling its application to hybrid beamforming arrays and making it suitable for real-time applications.

This invention provides a hybrid beamforming method and system for resisting channel aging in MIMO-OFDM systems, improving beam alignment accuracy and spectral efficiency in high-mobility scenarios. First, the user terminal receives pilot signals, extracts and aggregates channel semantic features, generates fused temporal features through a bidirectional long short-term memory network, performs amplitude control using a learnable residual threshold, and superimposes these features to obtain the predicted channel state. Next, the predicted channel is converted to the angle-delay domain, quantized into a binary bitstream after multi-scale convolution and channel attention calibration, and fed back to the base station. Finally, the base station reconstructs the analog and digital precoders using a dual-head parallel decoding architecture and jointly optimizes the network parameters using a negative sum rate loss function. This invention effectively combats channel aging through temporal prediction and end-to-end collaborative learning, significantly improving the system's sum rate and robustness.

The application relates to the technical field of wireless communication, and discloses a millimeter wave phased array antenna communication system and method, the system comprises an environment perception and data acquisition unit, a feature coding and prediction unit, a cognitive beamforming decision unit, an adaptive hybrid beamforming control unit, a millimeter wave phased array antenna unit and a communication interface unit, real-time environment data is obtained through multi-source sensor fusion, and a deep learning model is used for feature extraction and future state prediction, the application actively adjusts the beam based on the prediction of user movement, obstacle shielding and channel change, reduces the risk of communication interruption and performance decline caused by environmental mutation, and overcomes the problems that the prior art has response lag or relies on frequent interaction to cause an increase in signaling overhead and time delay.

The application provides a user-centered joint optimization method and system of a cell-free MIMO system, and relates to the technical field of wireless communication. The method comprises the following steps: constructing a downlink of a UCCF millimeter wave mMIMO communication system, the mMIMO communication system comprising a plurality of randomly distributed access points AP and user equipment UE, each AP being equipped with a polarized reconfigurable array, and constructing a signal model; based on the signal model, constructing a corresponding channel model; and constructing an initial hybrid beamforming model; based on the channel model, optimizing the channel model with an optimal sum rate as a target; according to an optimal perturbation genetic algorithm, iteratively optimizing an AP-UE clustering matrix A, a polarization mask matrix B of all APs and the hybrid beamforming model to obtain a target joint optimization model. The application solves the problem that the performance of an existing cell-free large-scale MIMO system is limited in a dense user or dynamic network environment.

The application discloses a kind of hybrid beamforming method and device for ITS assisted satellite communication, belong to high frequency wireless broadband beamforming technical field, the method includes: according to the angle information in the system configuration information and channel state information of ITS assisted satellite communication system, obtain the ITS phase shift matrix based on center subcarrier;Utilize the virtual ITS phase shift matrix and the illumination matrix corresponding to the mth subcarrier to construct the virtual equivalent channel matrix of the mth subcarrier, and then solve its virtual digital precoding matrix;Utilize the ITS phase shift matrix corresponding to center subcarrier, the virtual ITS phase shift matrix and the virtual digital precoding matrix of the illumination matrix corresponding to the mth subcarrier determine the target digital precoding of the mth subcarrier, and then obtain the hybrid beamforming matrix of each subcarrier, to carry out hybrid beamforming.Therein, using virtual digital precoding inverse, effectively suppresses the serious beam squint problem of phased array in high frequency broadband large-scale MIMO communication.

Provided are a signal transmission method, a communication device, a storage medium and a program product, the method comprising: determining array elements in a co-prime array, the array elements in the co-prime array being a part of array elements in an antenna array of a first communication device; and sending a first signal through the co-prime array based on hybrid beamforming. According to the co-prime array, a larger virtual aperture can be realized through fewer physical array elements, or the number of equivalent virtual array elements is generally greater than that of the physical array elements, so that for a sender of the first signal, beamforming of more paths of signals can be realized by using fewer array elements; and for the receiver of the first signal, the DOA estimation of more paths of signals can be realized by using fewer array elements, so that the degree of freedom of the DOA estimation is improved.