A signal processing circuit includes an encoding circuit and a subcarrier sorting circuit. The encoding circuit is arranged to encode an input data to generate multiple codewords corresponding to a symbol. The subcarrier sorting circuit is arranged to sequentially arrange multiple subcarriers into an array, wherein a size of the array is M*N, N is a number of columns, N is equal to a number of the multiple codewords corresponding to the symbol, M is a number of rows, and M is a number of the multiple subcarriers divided by N; and the multiple subcarriers are sequentially arranged into the array starting from a row of the array, and subcarriers comprised in each column of the array are arranged to transmit one of the multiple codewords.

A method includes obtaining samples of radio-frequency (RF) uplink data signals received wirelessly at a radio unit of a radio access network, the RF uplink data signals including a first RF uplink data signal received from a user device; providing the samples of the RF uplink data signals as input to at least one machine learning model; in response to providing the samples of the RF uplink data signals as input to the at least one machine learning model, obtaining based on an output of the at least one machine learning model, recovered data of the RF uplink data signals; and sending the recovered data of the RF uplink signals to a destination device.

In one embodiment, an apparatus includes: a baseband processor having a preamble generation circuit to generate a preamble for an orthogonal frequency division multiplexing (OFDM) transmission, the preamble generation circuit to generate the preamble having a first portion comprising a first plurality of symbols, each of the first plurality of symbols having a plurality of carriers, where a subset of the plurality of carriers have non-zero values, the preamble generation circuit to generate the non-zero values using a sequence of complex values selected to optimize a peak-to-average power ratio (PAPR); a digital-to-analog converter (DAC) coupled to the baseband processor to convert the first plurality of symbols to analog signals; a mixer coupled to the DAC to upconvert the analog signals to radio frequency (RF) signals; and a power amplifier coupled to the mixer to amplify the RF signals.

This application relates to determining transmission quality of a communication channel, in particular for determining a measure of errors in data transmitted as multi-bit symbols. Described is an error checker with an input for receiving an input signal comprising a series of modulated symbols, wherein each symbol encodes multiple bits of a pseudo-random bit sequence. A demodulator is configured to receive the input signal and only partially demodulate at least some of the symbols to generate a partially demodulated bit sequence. A PRBS module is configured to receive the partially demodulated bit sequence and determine the pseudo-random bit sequence and a comparator compares the output of the demodulator to an expected output based on the pseudo-random bit sequence determined by the PRBS module.

Disclosed is a method comprising providing a first resource grid as input to a first machine learning algorithm, obtaining a second resource grid as output from the first machine learning algorithm, and transmitting a signal comprising the second resource grid by using orthogonal frequency-division multiplexing modulation.

Disclosed by the present invention is a sub-band selection activation-based multi-band hyperbolic frequency modulation spread spectrum underwater acoustic communication method. The present invention discloses: dividing the available bandwidth of an underwater acoustic system into a plurality of sub-bands, performing hyperbolic frequency modulation on each of the sub-bands respectively, and performing spread spectrum modulation on the plurality of sub-bands within the same frequency modulation period, thus implementing multi-band parallel transmission. Hence, within each frequency modulation period, the divided plurality of sub-bands is grouped, and each sub-band group activates different sub-bands for transmission according to different options for transmitting data. Compared to other underwater acoustic hyperbolic frequency modulation communication solutions, the present invention further improves the frequency band utilization of the system, and the energy efficiency is also improved.

The described technology is generally directed towards adapting the demodulation reference signal sent in a wireless resource data block based on channel estimation performance. In general, if the demodulation reference signal received was not successfully able to be used to demodulate the resource data block, the demodulation reference signal density can be increased up to a maximum density, which costs resource elements but improves the channel estimation accuracy. If the demodulation reference signal received was able to be used to demodulate the resource data block, the demodulation reference signal density can be decreased down to minimum density, which saves resource elements for data. The network device can use HARQ ACK/NACK data (e.g., a current count or counted over a time period) to determine channel estimation performance, and/or the user equipment can recommend a demodulation reference signal density change.

A communication apparatus includes circuitry and a transmitter. The circuitry maps a precoded downlink control signal to one of a plurality of mapping candidates. The precoded downlink control signal is prepared using a first precoding for single-antenna port transmission with a single antenna port in localized allocation mode. The precoded downlink control signal is prepared using a second precoding for multi-antenna ports transmission with two antenna ports in distributed allocation mode. The plurality of mapping candidates is comprised of a plurality of aggregation levels, and one or more of the aggregation levels that is higher than a boundary among the plurality of aggregation levels is associated with only the multi-antenna ports transmission, the boundary being determined based on signaling indicated from the base station apparatus. The transmitter transmits the precoded downlink control signal.

An apparatus for processing a received radio signal includes at least one processor and at least one memory. The at least one memory storing computer program code. The at least one memory and the computer program code being configured to, with the at least one processor, cause the apparatus to at least in part perform processing (received radio signal data with first and second signal processing chains, which respectively include first and second processing modules configured to respectively determine first output and an estimation of the first output data, and determine second output data using a neural network based on the estimation; updating parameters of the neural network based on the first output data and the second output data; and after the updating, processing the received radio signal data with the second signal processing chain, without applying the first processing module.

The disclosed systems, structures, and methods are directed to a wireless receiver. The configurations presented herein employ a signal encoder configured to encode a plurality of received analog signals into a single encoded analog composite signal, in accordance with a variable leading bit orthogonal coding scheme, an analog-to-digital converter (ADC) configured to convert the single encoded analog composite signal into a single encoded digital composite signal containing constituent digital signals, a synchronization module configured to provide the variable leading bit orthogonal coding scheme to the signal encoder, and a signal decoder configured to decode the single encoded digital composite signal in accordance with the variable leading bit orthogonal coding scheme, to output a plurality of digital signals containing the desired information content of the received plurality of analog signals.