52 results about "Multi output" patented technology

This application discloses a multi-inductor multi-output DC-DC voltage converter and its control method. The converter includes several basic unit modules and a charge redistribution module. The basic unit modules are connected in series and all are connected to the charge redistribution module. The method includes: based on the input voltage signal, and using the basic unit modules, sequentially and alternately magnetizing and demagnetizing a first inductor within a complete cycle to obtain the load-side output current and load-side output voltage; obtaining the first flying capacitor current and combining it with the load-side output current and load-side output voltage; and adjusting the inductor current based on the charge redistribution module to output the adjusted inductor current. The embodiments of this application enhance the ability to support higher input voltages and more output channels while reducing external components, thereby improving system conversion efficiency. This application can be widely applied to integrated circuit design technology.

A method is disclosed of selecting users for multi user multiple-input multiple-output (MU-MIMO) communication from an initial set of potential users. The method comprises repeating the following steps in successive iterations until a stopping criterion is met: determining a channel correlation metric for each user in the set of potential users, reducing the set of potential users by exclusion of a user based on the channel correlation metric, and calculating a performance metric of the set of potential users. The method also comprises selecting users corresponding to one of the sets of potential users, wherein the selection is based on a comparison of the calculated performance metrics of the sets of potential users. The channel correlation metric for a user may comprise one or more of: a channel filter norm for the user, a channel norm for the user, a channel gain for the user, pair-wise correlations between the user and one or more other users of the set of potential users, and a channel eigenvalue for the user. The performance metric may comprise one or more of: a sum-rate, a per-user-rate, an average error rate, a maximum error rate, a per-user error rate, and a sum-correlation. Corresponding apparatus, network node and computer program product are also disclosed.

The present application belongs to the technical field of unmanned aerial vehicle navigation, and particularly relates to an online trajectory prediction and parameter optimization method coupling multiple output Gaussian processes. The method first constructs a multiple output coupling kernel function fusing a square exponential kernel and a neural network kernel, and uses a symmetric positive definite output covariance matrix to explicitly model the dynamic coupling relationship between the lateral position (axis) and the longitudinal position (axis) of the unmanned aerial vehicle, thereby overcoming the coupling information loss caused by the traditional independent modeling method. Secondly, a recursive Gaussian process online learning framework is established, and an augmented state space model containing the flight trajectory latent function value and the kernel hyperparameter is constructed. Finally, the unscented transformation technology is introduced to process the nonlinear propagation of the hyperparameter, and the real-time prediction of the flight state of the unmanned aerial vehicle and the online adaptive update of the model hyperparameter are realized through the block Kalman filtering mechanism. The present application significantly improves the precision, real-time performance and robustness of the unmanned aerial vehicle trajectory prediction under complex flight environment and high maneuvering task.

Various aspects of the present disclosure generally relate to wireless communication. Some aspects more specifically relate to multiple input multiple output (MIMO) spinal code encoding schemes. In some aspects, a transmitter may encode a message in accordance with configuration information associated with a MIMO spinal code encoding scheme, resulting in a vector that includes multiple spinal symbols. The transmitter may further map the multiple spinal symbols to multiple transmit antennas, such as by distributing the multiple spinal symbols across multiple layers associated with the multiple transmit antennas and across one or more resource elements (REs) in accordance with the configuration information. The transmitter may transmit, using the multiple transmit antennas and the one or more REs, and a receiver may receive, using multiple receive antennas and the one or more REs, the multiple spinal symbols.

A method and apparatus are disclosed to reduce MU-MIMO complexity in a receiver. In one embodiment, a method implemented in a network node includes determining a frequency dispersion of a channel for a wireless device (WD); and based at least in part on the determination of the frequency dispersion, determining at least one frequency spacing for at least one weight associated with the channel. In another embodiment, a method implemented in a WD includes transmitting a signal to the network node; and receiving an allocation of at least one time-frequency resource based at least in part on a determination of a frequency dispersion on the transmitted signal, the at least one time-frequency resource being shared between the WD and at least one other WD.

The embodiment of the present disclosure discloses a method for determining the optimal placement orientation of a terminal device, relates to the technical field of wireless communication, and comprises the following steps: acquiring the current multiple-input multiple-output rank value of a target communication link between a terminal device and a target connection device. When the rank value is less than a rank value threshold, a user is guided to intervene in changing the terminal orientation by outputting prompt information. In this process, the new multiple-input multiple-output rank value after each orientation change is determined, and finally the optimal multiple-input multiple-output rank value is screened from the at least one multiple-input multiple-output rank value, so that the orientation corresponding to the optimal multiple-input multiple-output rank value is established as the target placement orientation. By directly optimizing the spatial orientation of the terminal device, which is a fundamental factor affecting the channel matrix, it is ensured that the optimal MIMO performance can be obtained at the current physical location, and the throughput rate of the terminal device as a hotspot is effectively improved.

Methods, systems, and devices for line of sight (LOS) multiple input multiple output (MIMO) signaling aspects for wireless communication. A wireless device may transmit, to a network device, a capability message indicating that the wireless device supports a LOS mode. The wireless device may receive, from the network device in response to the capability message, a control message indicating activation of the LOS mode and at least one LOS mode parameter based at least in part on a channel measurement associated with a wireless channel between the wireless device and the network device indicating that the wireless channel satisfies a LOS path criterion. The wireless device may communicate a message with the network device in accordance with the LOS mode parameter.

A method performed by a dual-polarized receiver comprising an extra-large multiple-input multiple-output (XL-MIMO) antenna array (110) with antenna elements (111) each selectively operating in two orthogonal states for receiving signals from a dual-polarized transmitter in a joint radar-communication system, wherein the dual-polarized transmitter transmits dual polarized signal for radar sensing and communication, wherein the joint radar-communication system comprises a polarization medium between the dual polarized transmitter (200) and the dual polarized receiver (100) that introducing polarization interference and cross-polarization interference to the dual polarized signal. It is characterized by grouping antenna elements (111) based on polarization shift, co-polarization power level and cross polarization power level.

Various aspects of the present disclosure generally relate to wireless communication. A UE capability for a multiple physical downlink shared channel (PDSCH) scheduling may be signaled from a UE to a network entity. A UE capability signaling may indicate whether the UE supports a multiple PDSCH scheduling being associated with a same time domain resource allocation (TDRA) and / or a same frequency domain resource allocation (FDRA). The network node may schedule the multiple PDSCHs, via a multiple user multiple-input multiple-output (MU-MIMO) PDSCH scheduling or a multiple downlink control information (multi-DCI) multiple transmission reception point (mTRP) PDSCH scheduling, based at least in part on the UE capability signaling. The network entity may guarantee that co-scheduled PDSCHs have the same TDRA and / or the same FDRA, which may be based at least in part on the UE capability signaling.

A low-profile, highly isolated, ultra-wideband multiple-input and multiple-output (MIMO) antenna for use in a distributed antenna system includes: (a) a feeding circuit on a dielectric substrate that includes a coplanar waveguide (CPW) including a signal feed and a return that includes first and second return sections coplanar with and apart from the signal feed; (b) first and second radiator circuits including first and second monopole radiators, respectively, the first and second return sections being coplanar with and spaced apart from the first monopole radiator; (c) a decoupling circuit, disposed on a first side of the dielectric substrate, that includes a conductive strip for reducing mutual coupling between the first and second radiator circuits; and (d) a matching circuit including a plurality of stubs disposed on a second side of the dielectric substrate opposite the first side, the matching circuit being operable to reduce return loss of the MIMO antenna.

There is a need to address the problem of compressed scanning in SAR acquisitions for microwave imaging. Embodiments of the present disclosure provide microwave imaging with multiple-input and multiple-output synthetic aperture radar using compressed multi-coset range migration technique. The present disclosure reduces the SAR acquisition time by compressed scanning, where a compressed scanning acquisition setup captures radar measurements to obtain a microwave image of a target scene by intermittently skipping blocks during SAR acquisition. Further, reconstruction of a microwave image of a target scene is performed using 2D Fourier Transform (FT) of the radar measurements based on a multi-coset range-migration framework. The multi-coset range migration framework makes use of intermittent scanning and formulates a compressed sensing-based architecture by leveraging block-sparsity constraints. Subsequently, a denoising convolutional neural network (DnCNN) is used to enhance and denoise the reconstructed microwave image to obtain a high-resolution image of the target scene.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node may communicate with a second network node using a line-of-sight (LOS) multiple input multiple output (MIMO) configuration at a frequency. The first network node may communicate, based at least in part on a multi-user MIMO (MU MIMO) mode, with a third network node using the LOS MIMO configuration and at the frequency, wherein the MU MIMO mode corresponds to an antenna system configuration of the rectangular antenna array, wherein the antenna system configuration includes at least one of an antenna assignment scheme, an antenna amplitude configuration, or an antenna phase configuration. Numerous other aspects are described.

A communication device, a control method of a communication device, and a computer program product are provided. A control method of a communication device is provided. The control method includes receiving a wireless frame conforming to an IEEE 802.11 standard series, and decoding the received wireless frame, wherein the wireless frame is for multi-user multiple-input multiple-output (MU-MIMO) communication, wherein a preamble of the wireless frame contains a universal signal field (U-SIG) as a first signal field and a second signal field, wherein the second signal field contains information specifying a number of streams of each communication device participating in the MU-MIMO communication, and information specifying a modulation and coding scheme (MCS) to be used for each stream corresponding to the number of streams, and wherein storing the specific information as the information specifying the MCS indicates that different MCSs are to be used for each of a first stream and a second stream directed to a specific communication device.

The application provides a radar package antenna layout structure and a millimeter wave radar, comprising: a package antenna substrate; a multiple-input multiple-output (MIMO) antenna array arranged on a top layer of the package antenna substrate, the MIMO antenna array comprising a transmitting antenna array and a receiving antenna array; a metal isolation strip arranged between the transmitting antenna array and the receiving antenna array; and an electromagnetic bandgap structure array group arranged between transmitting antenna units in the transmitting antenna array, each electromagnetic bandgap structure array in the electromagnetic bandgap structure array group comprising a plurality of electromagnetic bandgap structure units, and a short side of each electromagnetic bandgap structure unit being arranged perpendicularly to an electric field radiation plane of the transmitting antenna unit. The application solves the problem of a decrease in isolation caused by a compact layout.

This application relates to a design method, system, and medium for a single-input multi-output robust speed controller. The method includes: Step 1, establishing a system model; Step 2, constructing a single-input multi-output controlled object; Step 3, robust speed controller design; Step 4, robustness verification; and Step 5, control command execution. This method, by employing a single-input multi-output structure, fully utilizes multi-dimensional state information such as guide vane position, mechanical power, and load angle as auxiliary feedback, and achieves robustness through systematic H... ∞ The optimized design achieves coordinated optimization of each control channel, resulting in overall performance far exceeding that of a single-variable design.

This application provides a method, apparatus, multiple-input multiple-output circuit, and device for transmitting communication signals. It relates to communication technology, specifically 5G communication technology, and is applied to a 5G diversity radio frequency front-end module. The method includes: acquiring multiple radio frequency bands supported by the 5G diversity radio frequency front-end module, and the corresponding output methods for each of the multiple radio frequency bands; dividing the multiple radio frequency bands into a first type of frequency band and a second type of frequency band according to their respective output methods; determining a first communication signal transmission path corresponding to the first type of frequency band and a second communication signal transmission path corresponding to the second type of frequency band; transmitting first communication information using the first communication signal transmission path corresponding to the first type of frequency band, and transmitting second communication information using the second communication signal transmission path corresponding to the second type of frequency band. This method can simplify the design of the 5G diversity radio frequency front-end module and reduce the cost of communication signal transmission.

Embodiments of the present disclosure relate to the technical field of communications, and provide a communication method and apparatus, a device, and a storage medium, which can be applied to an access point (AP) device. The method comprises: determining a first message frame, wherein the first message frame comprises a first capability information element, the first capability information element comprises first identification information, and the first identification information indicates that the AP device supports non-orthogonal frequency division multiple access (non-OFDMA) uplink (UL) multi-user multiple-input multiple-output (MU-MIMO) communication on 640 MHz bandwidth; and sending the first message frame. The embodiments of the present disclosure can provide a communication mode that indicates a bandwidth supported in non-OFDMA UL MU-MIMO communication.

A method of beamforming for downlink (DL) transmission in a wireless communication system is provided. The method includes generating, by a base station of the wireless communication system, configuration information required to signal channel state information (CSI) to the BS, wherein the configuration information includes parameters of a code book, wherein the code book defines an overall set of spatial beams in which data streams can be transmitted from the BS, wherein each spatial beam is represented by a discrete Fourier transform (DFT) vector in the code book, and a parameter (NDFT) indicative of a maximum number of DFT vectors with one signal polarization in a precoding matrix, transmitting, by the BS, the configuration information from the base station to a user device (UE), based on CSI reference signals (CSI-RSs) received from the BS, choosing, by the UE, a number (L) of Multiple Input-Multiple Output (MIMO) layers.

A repeater is disclosed. The disclosed repeater according to one embodiment is a repeater for relaying multi input multi output (MIMO) communication in a forward link between a base station and terminals in a building, and comprises: a first antenna; a second antenna; a first internal signal path which is connected to the first antenna, and which includes a forward signal path for processing a first forward signal received by the first antenna and a reverse signal path for processing reverse signals oriented from the terminals toward the base station; and a second internal signal path which is connected to the second antenna, and which processes a second forward signal received by the second antenna.

An adaptive power system includes a multi-output reference voltage generator that generates multiple reference voltages; a low-voltage detector that detects a supply voltage and accordingly generates a power detect signal representing relationship between the supply voltage and at least one predetermined threshold; a selector that selects one of the multiple reference voltages according to the power detect signal, thereby outputting a selected reference voltage; a boost control circuit that generates a control signal according to the selected reference voltage; and a boost converter that generates power voltages according to the control signal.

Example embodiments relate to techniques for implementing radar waveform diversity. A technique may involve a radar unit transmitting radar signals into an environment of a vehicle based on a code sequence that indicates a ramp direction and a phase shift for each pulse in a pulse used by the radar unit and receiving radar reflections from the environment. In some instances, the radar unit may leverage antennas in a multiple input multiple output (MIMO) arrangement to further add diversity to transmissions according to spatial code in the code sequence. The technique can further involve using a demodulator to map the environment based on the radar reflections and controlling the vehicle based on the mapping. In some instances, the code sequence is received from a system that is wirelessly providing orthogonal code sequences to multiple emitters.

This invention provides a method and system for receiving the physical broadcast channel (PBCH) in a multiple-input multiple-output (MIMO) system, comprising: step S1, obtaining frequency domain channel estimates of demodulation reference signals from multiple cells on the physical broadcast channel symbols, wherein the multiple cells include a serving cell and co-frequency cells; step S2, extracting resource elements of the serving cell from the frequency domain resources of the physical broadcast channel; and step S3, performing MIMO demodulation processing on the frequency domain channel estimates of each cell and the resource elements of the serving cell to obtain soft bit information of each cell. Beneficial effects: This invention, by utilizing information from co-frequency cells and jointly performing MIMO demodulation processing on the serving cell and co-frequency cells, solves the performance problem of PBCH reception in multiple-input multiple-output systems when co-frequency cell interference exists, thus improving the PBCH reception performance in multiple-input multiple-output systems under co-frequency conditions.

A computer-implemented method, performed in a network node for estimating a LOS-MIMO radio propagation channel condition, wherein the LOS-MIMO radio link is arranged to communicate a nominal number of MIMO data streams over the radio link from a first site to a second site, the method comprising configuring the LOS-MIMO radio link to communicate a reduced number of MIMO data streams smaller than the nominal number of MIMO data streams from the first site to the second site over the radio link, transmitting the reduced number of MIMO data streams from the first site to the second site, determining a LOS-MIMO channel phase condition at the second site, based on the reduced number of MIMO data streams transmitted from the first site, communicating the determined LOS-MIMO channel phase condition from the second site to the first site, and estimating the LOS-MIMO radio propagation channel condition at the first site based on the LOS-MIMO channel phase condition communicated from the second site.

A method has the steps of: transmitting to a plurality of stations (STAs) a plurality of sets of precoder coefficients and a trigger for uplink (UL) data transmission; each set of precoder coefficients are obtained based on parameters of one or more estimated channels between an access point (AP) and a respective STA of the plurality of STAs.

This disclosure provides methods, devices and systems for generating packet preambles. Some implementations more specifically relate to preamble designs for special cases such as, for example, full-bandwidth multi-user multiple-input multiple-output (MU-MIMO), single-user (SU) preamble puncturing, hybrid automatic repeat request (HARQ), and multi-AP coordination. Multi-AP coordination may refer to coordinated beamforming (CoBF), joint transmission (JT), or coordinated orthogonal frequency division multiple access (C-OFDMA). Additionally, or alternatively, some implementations more specifically relate to preamble designs that accommodate signal fields of different cases.

The application provides a multi-input multi-output soft measurement method, device and medium, the method comprising: obtaining historical multi-sampling rate process variable data and historical multi-quality variable data; obtaining a plurality of historical task-specific features from the historical multi-sampling rate process variable data; inputting the plurality of historical task-specific features to obtain historical cross-task shared interaction features; training a trained feature interaction hybrid expert network model according to the historical cross-task shared interaction features, the plurality of historical task-specific features and the historical multi-quality variable data; and obtaining a plurality of online prediction results according to the trained feature interaction hybrid expert network model. The method, device and medium can solve the problem that the existing multi-input multi-output soft measurement method is prone to information loss, time alignment error and task negative transfer when different variable sampling frequencies are inconsistent, and there is an irregular sampling phenomenon, resulting in low prediction accuracy of multi-quality indicators.

Wide band Multiple-Input Multiple-Output (MIMO) antenna arrays include elements that taper from small ends located proximate to ground planes to larger ends which may be extended with vertical walls. Shapes of tapered elements exhibit different directivity patterns may be used in the same array and / or elements may be oriented differently such that their directivity patters peak in different directions. Each element is provided with ground shunted conductors which serve to increase non-uniformity in the azimuthal directivity patterns. The ground shunt conductors are strategically placed to reduce element intercoupling which foster improved MIMO system performance.

The invention is related to a method for classifying propagation regions in extremely large multiple-input multiple-output (XL-MIMO) systems.

A communication apparatus includes a receiver, control circuitry, and transmission circuitry. The receiver receives, from an access point (AP), a multi-user multiple-input multiple-output (MU-MIMO) signal including a plurality of spatial streams. The control circuitry (i) obtains reception-quality information for the plurality of spatial streams, (ii) determines, based on the reception-quality information, a subset of the plurality of spatial streams, and (iii) generates feedback information by including information relating to only the subset of the plurality of spatial streams. The transmission circuitry transmits the feedback information to the AP. The MU-MIMO signal includes a first signal addressed to the communication apparatus and a second signal addressed to one or more other communication apparatuses different from the communication apparatus. The MU-MIMO signal is a signal to which a steering matrix is applied.

The present invention relates to an apparatus for near-field channel phase linearization in an extremely large-scale multiple-input multiple-output (XL-MIMO) system including an antenna array module, which includes a plurality of isotropic antennas, receives a user's signal in a near-field environment, and independently collects amplitude and phase data of a signal for each antenna by an array composed of the plurality of isotropic antennas.