27 results about "Downlink beamforming" patented technology

The invention discloses a U6G FDD (Frequency Division Duplexing) super-large-scale MIMO (Multiple Input Multiple Output)-oriented downlink channel reconstruction and user positioning method, which comprises the following steps that: firstly, a user sends an uplink pilot signal to a base station, designs a Cartesian domain codebook-based channel image generation method, and visualizes an uplink received signal into a channel image; secondly, detecting the positions of a user and a scatterer in a channel image by using a target detection network, finely adjusting the detected coordinates, performing uplink path gain estimation by using a least square algorithm, and positioning the user according to the maximum uplink path gain; then designing a downlink beam forming matrix based on a base vector, adjusting the direction of a downlink pilot beam by using the matrix, and estimating a downlink path gain according to a downlink receiving signal; and finally, completing reconstruction of a downlink channel according to the coordinates of the user and the scatterer and the estimated downlink path gain. According to the method, rapid and high-precision multi-cluster multi-path downlink channel reconstruction and user positioning can be realized with relatively low calculation complexity and pilot frequency overhead.

Various aspects of the present disclosure generally relate to wireless communications. In some aspects, a user equipment (UE) may receive scheduling information that schedules a physical downlink shared channel (PDSCH) communication for the UE and select a downlink beam for receiving the PDSCH communication from a set of available downlink beams associated with an uplink beam, the uplink beam to be used by the UE for uplink transmission in one or more symbols for which the PDSCH communication is scheduled. Numerous other aspects are provided.

The present invention discloses a downlink beamforming method for a non-ideal calibration-based cellular mMIMO system. First, based on the Rice fading channel model, the mapping relationship between the uplink channel and the downlink channel under non-ideal calibration is given. Then, according to the data expression received by the downlink user under non-ideal calibration conditions, the downlink rate expression of the cellular massive MIMO system is derived. Finally, aiming at maximizing the downlink sum rate, the Lagrangian dual transformation method and the scaled alternating direction multiplier method are used to iteratively solve the optimization problem of maximizing the downlink sum rate, and the optimal downlink beam sequence is obtained. The present invention reduces the negative impact of reciprocity calibration error on the system performance, reduces the performance loss caused by non-ideal calibration, and effectively improves the downlink rate of the cellular massive MIMO system under non-ideal calibration.

Systems, methods, apparatuses, and computer program products for interference reduction. One method may include calculating at least one downlink beamforming coefficients vector, and estimating at least one channel coefficient. Interference may be calculated, and a configuration may be selected based upon a determination of interference power. The transformed beamforming coefficients vector may be calculated by at least one of minimizing maximum interference power over one or more uplink antenna elements, minimizing mean interference power over one or more uplink antenna elements, or minimizing interference power based on uplink beamforming.

Power control systems and methods are provided that incorporate the effects of beamforming gain offsets into uplink power control. The beamforming gain offset occurs if the downlink reference beam is different from the uplink communication beam. Methods of estimating and incorporating beamforming gain offsets for a UE and a BS into a power control formula are provided. At least one parameter related to a beamforming gain offset between uplink and downlink beamformers of the UE and / or the BS is transmitted between the UE and the BS. The UE sends an uplink signal, the BS receives the uplink signal, and the transmission power of the uplink signal is partially based on the at least one parameter. The parameter may be a direct indication of one or more of the offsets, or other parameter incorporating an effect of one or more of the offsets.

Methods, apparatus, and systems for wireless communications are disclosed. A first base station may receive one or more message from a second base station. The messages may include downlink beamforming information elements for a downlink cell. Each downlink beamforming information element may be associated with a respective group of resource blocks of a plurality of groups of resource blocks in the downlink cell. The first base station may select a first beamforming codeword for at least one group of resource blocks of the plurality of groups of resource blocks based on the downlink beamforming information associated with the at least one group of resource blocks. The first base station may transmit, to a wireless device, signals on the at least one group of resource blocks employing the first beamforming codeword.

The invention discloses a digital front-end processing system suitable for ORAN beam forming, which comprises an O-RU ORAN interface, a Timing Module, an uplink beam forming processing link and a downlink beam forming processing link, and is characterized in that the O-RU ORAN interface is responsible for analyzing C-Plane, U-Plane, S-Plane and M-Plane link plane data; the Timing module is responsible for synchronizing a signal at the time of 10ms and providing a time sequence control signal for all the modules; and the downlink beam forming processing link comprises a downlink IQ (In-phase Quadrature) data, a BeamID (Beam Identity), a Beamforming Weight data cache, a DL (Downlink) Scheduling, a DL Scheduling, a Downlink Beamforming System, an IFFT (Inverse Fast Fourier Transform) / FFT (Fast Fourier Transform) / PowerScaling module and a DL DFE (Downlink Downlink) Chainin module, and the downlink beam forming processing link comprises a downlink IQ (In-phase Quadrature) data cache, a BeamID (Beamforming Identity) and Beamforming Weight data cache, a DL Scheduling (Downlink). According to the system, a modular design framework is adopted, different hardware schemes are convenient to transplant, ORAN Split7.2 x Category B devices of different manufacturers are directly connected in a butt joint mode, an upgrading interface is reserved, ORAN WG4section extension types are supported to be added, MATLAB algorithm module analysis and verification are provided, and the module efficiency and stability are high.

The disclosure provides a method for beam footprint handover, a method for receiving information, a method for transmitting information, a terminal and a base station. The method for beam footprint handover performed by a terminal comprises the following steps: receiving a first signaling, wherein the first signaling is used for instructing the terminal to hand over from a first beam footprint to a second beam footprint; handing over from the first beam footprint to the second beam footprint in response to the first signaling; wherein a beam footprint is a coverage range of the downlink beamforming signals, the first beam footprint and the second beam footprint belong to a same cell, and downlink signals in the first beam footprint are transmitted with the first beam, while downlink signals in the second beam footprint are transmitted with the second beam.

The invention belongs to the technical field of edge computing, and discloses a beam forming and computing unloading method for a wireless energy supply symbiotic edge computing network, which optimizes the downlink beam forming design of a base station and the sub-problem of wireless energy supply duration optimization through a centralized deep reinforcement learning algorithm. An unloading decision and energy consumption optimization sub-problem of the mobile equipment is optimized through a mixed action multi-agent deep reinforcement learning algorithm, and an uplink beam forming design optimization sub-problem of a base station is optimized by using a convex optimization method, so that the problem solving complexity is reduced; mixed action multi-agent deep reinforcement learning is designed, each mobile device serves as an independent agent to carry out distributed decision making, and the problems of too low algorithm training speed and poor performance caused by a huge action space are avoided.

A method and radio device for passive intermodulation (PIM) downlink subspace acquisition in a network node. According to one aspect, the method includes determining a downlink projection matrix formed using downlink beamforming weights and determining a first downlink interference covariance matrix estimate for a current downlink orthogonal frequency division multiplexing (OFDM) symbol based at least in part on multiplying the downlink projection matrix by a scaling factor that depends on passive intermodulation (PIM) power generated in one or more uplink channels.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a terminal includes receiving, from a base station, information on an association between SS (synchronization signal) / PBCH (physical broadcast channel) blocks (SSBs) and CSI (channel state information)-RSs (reference signals); receiving, from the base station, one or more SSBs; performing a measurement of the one or more SSBs; based on the measurement, identifying at least one SSB; and transmitting, to the base station, a first message comprising information on the at least one SSB.

An apparatus (300), includes multiple sector antennas, each sector antenna of the sector antennas includes a reception array of antenna array elements (215) and a transmission array of antenna array elements (205), and wherein each sector antenna is configured for transmitting signals to devices (712, 722, 732) within a sector and for receiving signals, using the reception array, from devices within the sector; and processing circuitry configured to transform a downlink beamforming matrix into a transformed downlink beamforming matrix using a closed-form expression, wherein the transformed downlink beamforming matrix is configured to suppress both self-interference and cross-sector interference at individual receiver antenna array elements in a multi-sector antenna arrangement, generate beamformed data symbols based on the transformed downlink beamforming matrix, and deliver the beamformed data symbols associated with the current sector to a downlink transmit antenna included in the multi-sector antenna arrangement.

An apparatus (300), includes multiple sector antennas, each sector antenna of the sector antennas includes a reception array of antenna array elements (215) and a transmission array of antenna array elements (205), and wherein each sector antenna is configured for transmitting signals to devices (712, 722, 732) within a sector and for receiving signals, using the reception array, from devices within the sector; and processing circuitry configured to transform a downlink beamforming matrix into a transformed downlink beamforming matrix using a closed-form expression, wherein the transformed downlink beamforming matrix is configured to suppress both self-interference and cross-sector interference at individual receiver antenna array elements in a multi-sector antenna arrangement, generate beamformed data symbols based on the transformed downlink beamforming matrix, and deliver the beamformed data symbols associated with the current sector to a downlink transmit antenna included in the multi-sector antenna arrangement.

This invention belongs to the field of edge computing technology and discloses a beamforming and computation offloading method for a wireless power-co-located edge computing network. It optimizes the downlink beamforming design and wireless power supply duration optimization sub-problems of the base station using a centralized deep reinforcement learning algorithm, optimizes the offloading decision and energy consumption optimization sub-problems of mobile devices using a hybrid action multi-agent deep reinforcement learning algorithm, and optimizes the uplink beamforming design optimization sub-problem of the base station using a convex optimization method, thus reducing the complexity of problem solving. The hybrid action multi-agent deep reinforcement learning algorithm, where each mobile device acts as an independent agent for distributed decision-making, avoids the slow training speed and poor performance issues caused by a large action space.

Aspects include obtaining a call request, determining that the call request is placed from an environment that suffers from location inaccuracy, resulting in a first determination, based on the first determination, determining, that a serving cell is operating at a low or mid frequency band and at least one high frequency band neighbor is available, resulting in a second determination, based on the second determination, initiating carrier aggregation in a downlink direction using the low or mid frequency band and a high frequency band included in the at least one high frequency band neighbor, enabling downlink beamforming operations in respect of the high frequency band, initiating observed time difference of arrival (OTDOA) positioning operations, and determining a location of a mobile communication device that initiated the call request based on the enabling of the downlink beamforming operations and the initiating of the OTDOA positioning operations. Other embodiments are disclosed.

This invention relates to the field of wireless communication technology, specifically to a method and system for cooperative precoding of uplink and downlink in full-duplex multi-user communication. The method includes: establishing a full-duplex multi-user MIMO communication system; constructing uplink and downlink signal models for the communication system; constructing a cooperative precoding uplink and downlink cooperative beamforming optimization model, and establishing a model for maximizing total spectral efficiency under uplink and downlink transmit power constraints; based on the weighted minimum mean square error criterion, introducing auxiliary variables to transform the total spectral efficiency maximization model into an equivalent outer-layer iterative total spectral efficiency maximization problem, and iteratively solving it; establishing an alternating iterative framework for uplink and downlink beamforming matrices, and solving to obtain the uplink and downlink beam matrices. This invention improves the total spectral efficiency of multi-user communication systems in full-duplex communication mode.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit a set of sounding reference signals (SRSs) in an uplink direction. The UE may receive a plurality of downlink reference signals in accordance with a downlink beamforming, wherein the plurality of downlink reference signals are precoded using a precoder based at least in part on the set of SRSs. The UE may perform, via one or more discrete antennas, an analog beamforming communication based at least in part on an analog downlink beam weight or an analog uplink beam weight, wherein the analog downlink beam weight is for the downlink beamforming and is based at least in part on a channel impulse response (CIR), and wherein the analog uplink beam weight is derived based at least in part on the analog downlink beam weight. Numerous other aspects are described.

In an upper-airspace staying type communication relay apparatus that performs an MU-MIMO radio communication with plural terminal apparatuses located in a cell, it is intended to improve the communication quality of the entire cell and enhance the system capacity, while suppressing an increase in overhead in the terminal apparatus and the communication relay apparatus even if the number of terminal apparatuses located in the cell increases. The communication relay apparatus receives an uplink signal from each of plural terminal apparatuses via an array antenna, estimates angle information indicating a direction of the terminal apparatus for each of the plural terminal apparatuses, selects a terminal apparatus to be assigned to each of plural radio resources used for a downlink based on the estimation result of the angle information, calculates a downlink beamforming weight based on the estimation result of the angle information, and transmits a downlink signal to the terminal apparatus via the array antenna based on the beamforming weight corresponding to the terminal apparatus and the radio resources assigned to the terminal apparatus.

An apparatus (300), includes multiple sector antennas, each sector antenna of the sector antennas includes a reception array of antenna array elements (215) and a transmission array of antenna array elements (205), and wherein each sector antenna is configured for transmitting signals to devices (712, 722, 732) within a sector and for receiving signals, using the reception array, from devices within the sector; and processing circuitry configured to transform a downlink beamforming matrix into a transformed downlink beamforming matrix using a closed-form expression, wherein the transformed downlink beamforming matrix is configured to suppress both self-interference and cross-sector interference at individual receiver antenna array elements in a multi-sector antenna arrangement, generate beamformed data symbols based on the transformed downlink beamforming matrix, and deliver the beamformed data symbols associated with the current sector to a downlink transmit antenna included in the multi-sector antenna arrangement.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit a set of sounding reference signals (SRSs) in an uplink direction. The UE may receive a plurality of downlink reference signals in accordance with a downlink beamforming, wherein the plurality of downlink reference signals are precoded using a precoder based at least in part on the set of SRSs. The UE may perform, via one or more discrete antennas, an analog beamforming communication based at least in part on an analog downlink beam weight or an analog uplink beam weight, wherein the analog downlink beam weight is for the downlink beamforming and is based at least in part on a channel impulse response (CIR), and wherein the analog uplink beam weight is derived based at least in part on the analog downlink beam weight. Numerous other aspects are described.

This invention provides a joint channel prediction and beamforming optimization method based on Fourier graph neural networks. It estimates L consecutive historical channel state information timestamps based on signals received from a base station, and inputs this information into a target network trained using a hybrid training method to obtain a downlink beamforming matrix. The target network includes a channel prediction module, a power learning module, and a beamforming recovery module. The channel prediction module predicts the channel state information at any future time based on the L consecutive historical channel state information timestamps. The power learning module obtains the power characteristics of the future time based on the predicted channel state information. The beamforming recovery module obtains the downlink beamforming matrix based on the future channel state information, the future power characteristics, and the optimal beamforming solution structure, optimizing channel timeout and beamforming to maximize system performance and rate.

A communication apparatus selects one of a plurality of channel estimates for use in downlink beamforming for downlink transmission to another communication apparatus, or uplink beamforming for uplink reception from the another communication apparatus, at a given frequency and time resource. The plurality of channel estimates includes at least two of: a first channel estimate based on a first type of uplink reference signal transmitted by the other communication apparatus; a second channel estimate based on a second type of uplink reference signal transmitted by the other communication apparatus; and a third channel estimate calculated from both the first channel estimate and the second channel estimate.

Systems, methods, apparatuses, and computer program products for interference reduction. A method may include calculating at least one downlink beamforming coefficient vector and estimating at least one channel coefficient. Interference may be calculated and a configuration may be selected based on a determination of interference power. The transformed beamforming coefficient vector may be calculated by at least one of: minimizing the maximum interference power on one or more uplink antenna elements, minimizing the average interference power on one or more uplink antenna elements, or minimizing the interference power based on uplink beamforming.

The application discloses a precoding matrix indication selection method based on a neural network. In the method, a user end first acquires a channel matrix of a downlink; then, the channel matrix is preprocessed by downsampling, segmented discrete Fourier transform and number domain conversion, so that input features suitable for neural network processing are obtained; then, the neural network is used for feature extraction and code word mapping on the preprocessed channel features, corresponding code word numbers are output for each subband, and the code word numbers are converted into precoding matrix indication (PMI) parameters; subsequently, the user end feeds back the PMI to a base station; and the base station maps corresponding precoding matrices according to the same predefined codebook and the received PMI, and the precoding matrices are used for downlink beamforming transmission. The application uses the neural network to replace a conventional traversal search type PMI selection process, reduces the calculation complexity of the user end under the premise of keeping compatibility with an existing codebook feedback mechanism, and improves the PMI selection efficiency.

Methods, systems, and apparatus for wireless communications are described. A relay node may determine a channel state for each of a plurality of downlink beamforming directions between a parent node and the relay node based at least in part on a downlink beamforming direction between the relay node and a child node. The relay node may send a report to the parent node indicating at least a subset of the channel states and an indication that a respective downlink beamforming direction of the plurality of downlink beamforming directions corresponds to a respective channel state in the subset of channel states. The relay node may receive a grant from the parent node indicating a first downlink beamforming direction. The relay node may monitor downlink transmissions from the parent node based at least in part on the grant and the first downlink beamforming direction.

The application discloses a kind of robust security beamforming and target tracking method and equipment of full duplex sensing integration system, by dual-function radar communication base station is executed.Step includes: base station receives radar echo signal, with extended Kalman filter real-time tracking estimation downlink mobile user motion state, obtain predicted channel state information;Based on this information, design downlink beamforming matrix, construct uplink receive beamforming vector, optimize artificial noise signal covariance matrix;With Cramer-Rao bound quantification potential eavesdropper angle estimation error, construct uncertainty set;Under the requirements such as satisfying secrecy rate, angle estimation error, beam tracking mean square error, construct the joint optimization problem of minimizing system total transmit power;Non-convex semi-infinite constraint is converted into linear matrix inequality and is solved iteratively, and optimal parameter is obtained;Accordingly control base station, realize robust security beamforming and target tracking, solve the problem of safe communication under dynamic environment.

A method of data transmission includes steps of receiving, by a base station (BS), from a user equipment (UE), a first set of training signals, using the first set of training signals to determine a first downlink (DL) beam for DL data transmission, transmitting data on the first DL beam to the UE, receiving, by the UE, a second set of training signals, using the first uplink beam and the second set of training signals to determine a second DL beam for the uplink data transmission and transmitting data on the second DL beam to the UE.