21 results about "Hybrid beamforming" patented technology

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.

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.

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 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 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 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.

This invention relates to the field of communication and computing technology, specifically to a computing power network architecture, computing power allocation method, and apparatus, comprising: a millimeter-wave communication layer, a distributed computing power layer, and an intelligent control layer; the millimeter-wave communication layer includes multiple millimeter-wave communication nodes for establishing high-speed wireless transmission links within a target area and acquiring channel quality parameters of the high-speed wireless transmission links; each millimeter-wave communication node employs hybrid beamforming technology and achieves high-directional transmission through a multi-antenna array; the distributed computing power layer includes multiple computing power nodes distributed according to a computing power resource gradient, for providing available computing power resources and reporting computing power status parameters; the intelligent control layer receives computing tasks, acquires channel quality parameters and computing power status parameters, and performs task offloading strategy calculation, computing power-aware routing calculation, and dynamic topology management based on the computing tasks, channel quality parameters, available computing power resources, and computing power status parameters.

Transmission methods and systems include calibrating a mismatch between uplink and downlink digital elements of hybrid beamforming transceivers. calibrating a mismatch between uplink and downlink analog elements of the plurality of hybrid beamforming transceivers. Respective downlink channels are estimated between a user equipment and the hybrid beamforming transceivers using respective mismatch calibrations for the digital and analog elements of each of the hybrid beamforming transceivers. Data is transmitted to the user equipment from the hybrid beamforming transceivers using a distributed beamforming pattern based on the estimated downlink channels.

In an embodiment, a WTRU is configured to apply, to data symbols, a transform-spreading function that spreads the data symbols in a frequency domain, to form a first beam, and to transmit the transform-spread data symbols in the first beam. For example, an embodiment for improving reliability of signal detection over an impaired link includes implementing a Generalized Space-Frequency Block Coding (GSFBC) procedure. The impairment can be caused, e.g., by aging of the channel-state information, imperfections in the channel-state acquisition or reporting procedures, and / or beam-squint effects in multi-antenna systems. And an embodiment can include using hybrid beamforming and a GSFBC procedure to improve reliability of detection of the signal in the presence of beam squint and / or beam misalignments.

This invention discloses a hybrid beamforming method and system for coexisting radio networks based on reconfigurable holographic surfaces (RHS). The method includes: constructing a communication architecture with the RHS as the transmit antenna to eliminate dual path loss; designing a dual-mode signal demodulation strategy. Strategy I employs MMSE-SIC combined with MRC technology to first demodulate the ambient signal, then removes the received signal from the SN via SIC, and demodulates the backscattered signal one by one. Strategy II designs the ambient signal and its transmission frame structure, combined with zero-forcing beamforming, to demodulate the backscattered signal, avoiding the propagation of ambient signal demodulation errors. The method optimizes transmit power using gradient descent, handles the non-convex constraints of digital beamforming using fractional programming, and optimizes the RHS amplitude control matrix using a sequential parameter convex approximation algorithm, achieving efficient alternating optimization of these three aspects. The advantages of this invention are: improved energy efficiency in multi-user scenarios, reduced system power consumption, support for dynamic network topologies while maintaining high reliability, and breakthroughs in the limitations of existing single-user solutions.

The application discloses an ISAC hybrid beamforming method based on deep learning, comprising: performing hybrid beamforming on communication and sensing functions respectively, all users in a cell reporting measured information to a base station to obtain downlink channel information, the base station deploying a sensing receiving antenna and measuring a sensing channel when receiving a sensing signal; data splicing and processing are performed on the downlink channel and the sensing channel to obtain a real number form channel matrix, user data is randomly generated and channel CSI is collected as a data set; an ISAC hybrid beamforming neural network model is trained at the base station end based on the data set; after the training at the base station end is completed, a digital precoding matrix and an analog precoding matrix are generated by using the trained neural network model on real-time channel data, and the method can jointly design the digital and analog beamforming matrices of the ISAC scene, is superior to an existing iterative optimization algorithm in terms of communication rate or sensing estimation rate, and has lower time complexity in an inference stage.

The application discloses a three-layer digital-analog hybrid beamforming array and a MIMO transceiving system architecture. The three-layer digital-analog hybrid beamforming array comprises, along a signal transmitting direction, a third-level subarray with a digital full-connection architecture, a second-level subarray with an analog subarray connection architecture and a first-level subarray with an analog full-connection architecture in sequence; along a signal receiving direction, the three-layer digital-analog hybrid beamforming array comprises, in sequence, the first-level subarray with the analog full-connection architecture, the second-level subarray with the analog subarray connection architecture and the third-level subarray with the digital full-connection architecture. The application combines the advantages of a traditional full-connection hybrid beamforming architecture and a subarray connection beamforming architecture, realizes a large-scale three-layer digital-analog hybrid beamforming array, simultaneously generates multiple beams, and has the advantages of high system beamforming performance and low circuit design and baseband signal processing complexity.

There is provided a method in a wireless device. The method comprises: receiving a dynamic message, the dynamic message comprising an indication of an association between one or more Channel State Information (CSI) reference signals (RSs) and one or more uplink (UL) reference signals for determining precoding information; receiving a plurality of CSI-RSs, the plurality of CSI- RSs comprising the one or more CSI-RSs associated with the one or more UL reference signals; and sending one or more UL reference signals using the precoding information determined based on the associated one or more CSI-RSs.

The present disclosure relates to a 5G or 6G communication system that supports higher data transmission rates than 4G communication systems such as LTE (Long Term Evolution). For an Open Radio Access Network (O-RAN) system, the supported hybrid beamforming settings are indicated based on the number of analog ports, the number of digital ports, the number of analog ports per transceiver, and the supported codebook. The hybrid beamforming settings to be used include control bit vectors for phase shifters, each control bit vector being mapped to a phase value, an in-phase (I) value, and an orthogonal phase (Q) value. The hybrid beamforming settings may include analog and digital beamforming parameters or Joint Phase-Time Array (JPTA) parameters applicable to a frequency band or subband.

This invention discloses a hybrid beamforming method for integrated MIMO communication and radar based on overlapping subarrays. Under the conditions of hybrid analog-digital arrays, including overlapping subarray structure, transmit power, and constant mode constraints, a joint problem of maximizing communication spectral efficiency and minimizing radar beam pattern matching error is established. This joint problem is relaxed into a weighted summation minimization problem, where the designed hybrid beamformer minimizes the Euclidean distance to the optimal communication / radar beamformer. This invention decomposes the hybrid beamforming design problem into three subproblems and develops an efficient alternating minimization algorithm. The proposed hybrid beamforming design based on overlapping subarray structure offers flexibility and effectiveness in terms of spectral efficiency and radar beam pattern performance.