H04L25/4927

Serial-link receiver using time-interleaved discrete time gain

A serial receiver combines continuous-time equalization, analog interleaving, and discrete-time gain for rapid, efficient data reception and quantization of a serial, continuous-time signal. A continuous-time equalizer equalizes a received signal. A number N of time-interleaved analog samplers sample the equalized continuous-time signal to provide N streams of analog samples transitioning at rate reduced by 1/N relative to the received signal. A set of N discrete-time variable-gain amplifiers amplify respective streams of analog samples. A quantizer then quantizes the amplified streams of analog samples to produce a digital signal.

Digital filter

A digital filter for filtering a pulse density modulation (PDM) signal is presented. The filter has a first filter circuit to receive an input signal and to provide a filtered input signal at successive time steps which include a first filtered value at the first time step and a second filtered value at a second time step. The filter also has a quantizer to provide an output signal comprising output values at successive time steps and a filter variable circuit with a first multiplication circuit to receive the first filter variable, and divide the first filter variable by a first gain factor and a first summing circuit configured to receive the divided first filter variable, receive the output signal, and add the divided first filter variable and the first output value and a second multiplication circuit and a delay circuit.

TRANSMISSION/RECEPTION METHOD IN 1-BIT QUANTIZATION SYSTEM, AND DEVICE THEREFOR
20220376954 · 2022-11-24 ·

The present disclosure provides a method for transmitting and receiving in a wireless communication system and an apparatus therefore. Specifically, in a wireless communication system according to an embodiment of the present disclosure, there is provided a method for transmitting and receiving a signal by a receiving apparatus, the method includes receiving, from a transmitting apparatus, signals modulated based on a differential phase shift keying (DPSK) method through a plurality of reception paths, calculating a differential value in each reception path of the plurality of reception paths based on the received signals, and calculating reliability for the received signals, in which the reliability is proportional to a real value of a sum of the differential values in each reception path of the plurality of reception paths.

Determining sampling thresholds of SERDES receivers

Examples relate to determining a sampling threshold of a receiver (e.g., SERDES receiver). In particular, the examples relate to determining an updated sampling threshold of the receiver based on a reference sampling threshold of the receiver. A controller may determine the reference sampling threshold based on the training sequence and determine an upper voltage level and a lower voltage level of a voltage range based on the reference sampling threshold of the receiver. The controller then narrows the voltage range based on upper voltage accumulated hit rate and a lower voltage accumulated hit rate to determine the updated sampling threshold of the receiver.

Compression and decompression of downlink channel estimates

A network node (501) determines parameters (503) indicating a compression function for compressing downlink channel estimates, and a decompression function. The network node transmits the parameters, receives compressed downlink channel estimates (504), and decompresses the compressed downlink channel estimates using the decompression function. A terminal device (502) receives the parameters, forms the compression function, compresses downlink channel estimates using the compression function, and transmits the compressed downlink channel estimates. The compression function comprises a first function formed based on at least some of the parameters, a second function which is non-linear, and a quantizer. The first function is configured to receive input data, and to reduce a dimension of the input data. The decompression function comprises a first function configured to receive input data and provide output data in a higher dimensional space than the input data, and a second function which is non-linear.

Serial-Link Receiver Using Time-Interleaved Discrete Time Gain
20220045885 · 2022-02-10 ·

A serial receiver combines continuous-time equalization, analog interleaving, and discrete-time gain for rapid, efficient data reception and quantization of a serial, continuous-time signal. A continuous-time equalizer equalizes a received signal. A number N of time-interleaved analog samplers sample the equalized continuous-time signal to provide N streams of analog samples transitioning at rate reduced by 1/N relative to the received signal. A set of N discrete-time variable-gain amplifiers amplify respective streams of analog samples. A quantizer then quantizes the amplified streams of analog samples to produce a digital signal.

Compression and Decompression of Downlink Channel Estimates
20220149904 · 2022-05-12 ·

A network node (501) determines parameters (503) indicating a compression function for compressing downlink channel estimates, and a decompression function. The network node transmits the parameters, receives compressed downlink channel estimates (504), and decompresses the compressed downlink channel estimates using the decompression function. A terminal device (502) receives the parameters, forms the compression function, compresses downlink channel estimates using the compression function, and transmits the compressed downlink channel estimates. The compression function comprises a first function formed based on at least some of the parameters, a second function which is non-linear, and a quantizer. The first function is configured to receive input data, and to reduce a dimension of the input data. The decompression function comprises a first function configured to receive input data and provide output data in a higher dimensional space than the input data, and a second function which is non-linear.

METHOD AND SYSTEM FOR PROCESSING UPLINK SIGNAL IN CLOUD RADIO ACCESS NETWORKS

A method and a system for processing uplink signals in cloud radio access networks are disclosed The system comprising a baseband unit and a number of remote radio heads. The baseband unit and the remote radio heads are connected through fronthaul links. When one remote radio head receives a signal transmitted from a user equipment, the remote radio head first encodes the received signal according to a post-coding matrix, then quantizes the encoded signal according to a number of quantization bits allocated to the user equipment, and finally transmits the quantized signal to the baseband unit.

Method and device for quantizing data representative of a radio signal received by a radio antenna of a mobile network

A method for quantizing data representative of a radio signal received by a radio antenna of a mobile network. The method includes: demodulating the radio signal received by the antenna, providing a demodulated signal; scalar quantizing each value of the demodulated signal using a quantization table selected according to a channel coding level used to transmit the radio signal, providing a quantized demodulated signal; and transmitting the quantized demodulated signal to a channel decoding module.

Methods, decoder and encoder for handling a data stream for transmission between a remote unit and a base unit of a base station system

A method performed by an encoder of a base station system, for handling a data stream for transmission over a transmission connection between a remote unit and a base unit of the base station system, the remote unit being arranged to transmit wireless signals to, and receive from, mobile stations. The method comprises quantizing a plurality of IQ samples, converting the quantized plurality of IQ samples to IQ predictions, calculating per sample a difference between the quantized plurality of IQ samples and the IQ predictions in order to create IQ prediction errors. The method further comprises quantizing the IQ predictions or the IQ prediction errors, entropy encoding the IQ prediction errors and sending the entropy encoded IQ prediction errors over the transmission connection to a decoder of the base station system. The method can be performed by a decoder.