Abstract: A wireless system comprises a controlling node and multiple antenna processing nodes coupled to the controlling node but separated from each other. The controlling node receives (720) first soft bit information from a first antenna processing node, the first soft bit information corresponding to reception of a wireless transmission. Responsive to determining that it cannot decode transmitted bits using the first soft bit information, the controlling node requests (730) and receives (740) second soft bit information from a second antenna processing node, the second soft bit information also corresponding to the first wireless transmission from the wireless device and having been buffered by the second antenna processing node. The controlling node decodes (750) bits from the first wireless transmission using both the first and second soft bit information. The controlling node may then signal the antenna processing nodes that they can discard buffered information for the wireless transmission.

Abstract: A tunable CMOS circuit comprising a CMOS element and a tunable load. The CMOS element is configured to receive an analogue input signal. The tunable load is connected to the CMOS element and configured to set a switch point of the CMOS element. The CMOS element is configured to output an output current that is largest when the analogue input signal is equal to the switch point. The combination of a CMOS element with a tunable load may also provide a hardware implementation of fuzzy logic. A fuzzy logic gate comprises an input node, a CMOS logic gate, a tunable load, and an output node. The input node is configured to receive an analogue input signal. The CMOS logic gate is connected to the input node. The tunable load is connected to the CMOS logic gate such that the tunable load is provided on a current path connected to the output node. The output node is configured to output an analogue output signal.

Abstract: A wireless device transmits a frame by determining a plurality of Resource Units (RUs) of the frame, providing pilots in a first RU of the frame at a first set of positions, providing pilots in a second RU of the frame at a second set of positions, and transmitting the frame. The first set of positions is different from the second set of positions. A wireless device receives a frame including an RU including pilots and processes the pilots. When an RU for the data symbol includes an odd-numbered lowest subcarrier, the pilots are included at a first set of positions in the resource unit. When the RU includes an even-numbered lowest subcarrier, the pilots are included at a second set of positions in the resource unit. The second set of positions is different from the first set of positions.

Abstract: Aspects of the subject disclosure may include, for example, a system comprising a distributed unit (DU) configured to generate sounding reference signal (SRS)-based beams, and a remote unit (RU) communicatively coupled with the DU over a fronthaul, wherein the RU is configured to generate demodulation reference signal (DMRS)-based beams and perform digital beamforming for an uplink using the DMRS-based beams in combination with the SRS-based beams. Other embodiments are disclosed.

Abstract: The present application relates to a dual-polarization-joint noise processing method and device. The present application compensates the discrete spectral coefficient noise on the X polarization state with noise information carried by the discrete spectral eigenvalue on the X, Y polarization states, and a correlation coefficient between the discrete spectral eigenvalue and the discrete spectral coefficient on the X polarization state. Similarly, compensating the discrete spectral coefficient noise on the Y polarization state with noise information carried by the discrete spectral eigenvalue on the X, Y polarization states, and a correlation coefficient between the discrete spectral eigenvalue and the discrete spectral coefficient on the Y polarization state.

Abstract: Disclosed is a method for estimating a channel of a terminal by a base station in a wireless communication system supporting multiple antennas, the method comprising the steps of: estimating a moving speed of the terminal on the basis of a first channel value acquired at a current time point and a second channel value acquired at a previous time point; determining, on the basis of the estimated moving speed, a complexity degree corresponding to the number of channel values for multiple time points including the current time point; and estimating a channel of the terminal at a next time point on the basis of the determined complexity degree.

Abstract: Multi-stage distributed beamforming for distributed mosaic wireless networks is provided. Embodiments described herein present systems, devices, and methods that provide increased range, data rate, and robustness to interference and jamming. A distributed mosaic wireless network includes a transmitter, a receiver, and one or more distributed clusters of radios referred to herein as mosaics or relay mosaics. Each mosaic consists of several distributed, cooperative radio transceivers (e.g., mosaic nodes) that relay a signal sent by the transmitter towards the receiver. In some embodiments, a single-stage beamforming technique is implemented whereby the transmitter sends a signal to a first mosaic, which then relays this signal by beamforming to the receiver. In some embodiments, a multi-stage beamforming technique is implemented whereby the transmitter sends a signal to a first mosaic, which then relays this signal by beamforming to a second mosaic, which then relays this signal by beamforming to the receiver.

Abstract: Performing user equipment (UE) coordination based beam management may include determining resources for measuring beams and reporting measured beam information. The resources may be configured for a first user equipment (UE) of a plurality of coordinated UEs. The determined resources may be transmitted to the first UE via radio resource control (RRC) or medium access control-control element (MAC CE). Measured beam information received from the first UE for configuring beam sharing between multiple UEs of the plurality of coordinated UEs may be decoded.

Abstract: A multi-port transceiver comprises a plurality of first ports, a first communication interface, and a second communication interface. Multi-rate interleaver circuitry interleaves i) a plurality of first data streams, each received via a respective first port at a first data rate, and ii) a second data stream received via the first communication interface at a second data rate, to generate a third data stream to be transmitted via the second communication interface at a third data rate. Multi-rate deinterleaver circuitry deinterleaves a fourth data stream that was received via the second communication interface at the third data rate into i) a plurality of fifth data streams, each fifth data stream to be transmitted via a respective first port at the first data rate, and ii) a sixth data stream to be transmitted via the first communication interface at the second data rate.

Abstract: A wireless communication apparatus for supporting communication with multiple transmission and reception points (TRPs) includes a radio frequency integrated circuit (RFIC) configured to receive a first reference signal from a first TRP and a second reference signal from a second TRP, and processing circuitry configured to estimate channels of a plurality of subcarriers based on at least one of the first reference signal or the second reference signal, determine a beamforming parameter based on the estimated channels, the beamforming parameter being determined based on a capacity of an effective channel between the wireless communication apparatus and both the first TRP and the second TRP, and adjust a reception beam based on the beamforming parameter, and the RFIC being configured to receive a first physical downlink shared channel (PDSCH) from the first TRP through the adjusted reception beam, and receive a second PDSCH from the second TRP.

Abstract: In an example, a system includes a plurality of acoustically coupled nodes. Each of the nodes includes a transducer, a communication circuit and a controller. The transducer is adapted to be mechanically coupled to a medium. The communication circuit is coupled to the transducer to send and receive acoustic signals via the medium according to at least one communication parameter. The controller is to adaptively configure the at least one communication parameter of the communication circuit based on an acoustic signal received from at least one other of the nodes.

Abstract: An angular domain channel estimation method based on matrix reconstruction for a symmetrical nonuniform array is a combined two-stage channel estimation and channel equalization scheme provided based on an SNLA model. In a first stage, a matrix reconstruction method is used to estimate a path AOA, and compared with traditional channel estimation based on ULA, the matrix reconstruction method achieves a higher resolution ratio. In a second stage, an LS method is used to obtain a path gain. According to the angular domain channel estimation method, a mean square error of channel estimation, a bit error of data transmission and complexity of a traditional scheme are significantly reduced. A simulation result indicates that compared with the traditional method, the angular domain channel estimation method can achieve a lower MSE and BER.

Abstract: Current Wireless transmission volume is such that techniques to compress transmitted data is the object of ongoing technical enhancements. The Invention consists of methods of using rapid changes in signal voltage to convey additional data which may be used for Data Compression, Encryption, and other purposes. They include varying amounts of change referred to as Encode Amplitude (EA) and Baseline Modulation (BM) using a change down to baseline voltage.

Abstract: It is provided a method, comprising identifying a value of an onsite channel characteristic of a receive channel; requesting a neural network parameter, wherein the request comprises an indication of the onsite channel characteristic; monitoring if the neural network parameter is received in response to the request; estimating the receive channel by a neural network using the neural network parameter if the neural network parameter is received.

Abstract: Methods and systems are provided for using frequency spreading during communications, in particular communications in which multiple carriers (or subcarriers) are used. The frequency spreading may comprise generating a plurality of spreading data vectors based on transmit data, such as by application of a spreading matrix to portions of the transmit data. Each spreading data vector may comprise a plurality of elements, for assignment to the multiple subcarriers. The receive-side device may then apply frequency de-spreading, to obtain the original transmit data. The frequency de-spreading may comprise use of the same spreading matrix on data extracted from received signals, which (the data) may correspond to the plurality of spreading data vectors.

Abstract: This application provides an uplink multi-station channel estimation method, a station (STA), and an access point (AP), which can be applied to an uplink multi-user multiple-input multiple-output scenario. The uplink multi-station channel estimation method includes: a STA generating a frame including a first group of training sequences and a second group of training sequences, and sending the frame to the AP. The AP calculates a frequency offset value between the STA and the AP based on the received first group of training sequences and the received second group of training sequences. The AP performs channel estimation based on the calculated frequency offset value. According to the technical solutions provided in this application, the AP can more accurately learn of frequency offset values between a plurality of STAs and the AP. This improves channel estimation precision.

Abstract: The present disclosure provides a method for estimating a frequency offset, including: extracting sampling points from an input signal according to preset intervals to obtain a plurality of groups of sampling points, with the preset intervals of the groups of sampling points being different; performing processes on a current sampling point and the groups of sampling points to obtain data of arguments of complex numbers corresponding to the preset intervals; and determining an estimation value of a frequency offset of a current input signal according to the data of arguments of complex numbers corresponding to the preset intervals. The present disclosure further provides an apparatus for estimating a frequency offset, an electronic device and a computer-readable medium.

Abstract: A frequency detector (200) and method therein for measuring and tuning a frequency of a controlled oscillator are disclosed. The frequency detector (200) comprises a pulse generator (210) for generating sampling pulses; a sample circuitry (220) for sampling output states of the controlled oscillator (180); and a digital processing unit (230). The sample circuitry (220) is configured to sub-sample the output states of the controlled oscillator (180) at two or more sampling frequencies, and all sampling frequencies are lower than the frequency of the controlled oscillator. The digital processing unit (230) is configured to calculate a frequency offset of the oscillator based on the sampled states and generate a control signal based on the frequency offset to tune the frequency of the oscillator.

Abstract: This application provides a precoding method and an apparatus for improving a power utilization of antennas. The method includes: determining a generalized inverse matrix Hm+ of a channel value matrix Hm of K users in an mth iteration in J iteration operations, where m=1, 2, . . . , and J, 1?J?M?K+1, and M is a quantity of antennas; selecting, from a set S1m-1 based on Hm+, an antenna index nm and an update coefficient ?m corresponding to nm, where S1m-1 is a set of n unselected in antenna indexes n of the M antennas until an (m?1)th iteration ends; determining a weight matrix Wm based on Hm+ and ?m; and assigning a row in Wm and corresponding to nm to a row in a final weight matrix Wopt and corresponding to nm, where Wopt is to adjust transmit powers of at least J of the M antennas to a preset maximum transmit power P after the J iteration operations end.

Abstract: The present disclosure provides an apparatus and method for measuring a nonlinear signal-to-noise ratio, and a test instrument. The method for measuring a nonlinear signal-to-noise ratio may include performing notch operation on at least one frequency point in a spectrum of an input signal in a symbol domain or a bit domain; performing spectrum measurement on an output signal after passing through a nonlinear system; and estimating a nonlinear signal-to-noise ratio of at least one frequency point of the nonlinear system according to a spectrum of the output signal. According to the embodiments of the present disclosure, when the notch operation is performed, internal structures of symbols or bits of the input signal may be retained, and an accuracy of the measurement of the nonlinear signal-to-noise ratio may be improved.