Apparatuses, systems, and methods are disclosed for stochastic linear detection. A digital signal processor determines information about a plurality of transmitted signals based on a plurality of received signals. An initialization module determines an estimator matrix and a noise shaping matrix based on channel state information that relates the transmitted signals to the received signals. A sample generation module stochastically generates a plurality of signal estimates so that each signal estimate is a sum of a fixed component and a random component. The fixed component may be based on applying the estimator matrix to a vector of the received signals, and the random component may be based on applying the noise shaping matrix to generated noise. An output module sends soft information to an error-correcting code (ECC) decoder for decoding bits carried by the transmitted signals. The soft information may be based on the plurality of signal estimates.

Embodiments of this disclosure provide an impairment monitoring apparatus, impairment monitoring and compensating system and method. As a parameter of a impairment of a receiver end and/or a parameter of an impairment of a transmitter end is/are determined according to a preset period or a preset condition to perform compensation or calibration, complexity of calculation and power consumption of the system may be efficiently lowered. And as the parameter of the impairment of the receiver end and the parameter of the impairment of the transmitter end are not changed rapidly, determining these parameters according to the preset period or the preset condition to perform compensation or calibration will not affect an effect of the compensation or calibration, thereby ensuring a performance of the system.

A method of digital communication is described. The method includes generating a first orthogonal frequency division multiplexed (OFDM) signal from a first portion of information bits received at the communication apparatus, generating a second OFDM signal from a second portion of information bits received at the communication apparatus, generating a first input for a modulator using the first OFDM signal and the second OFDM signal, generating a second input for the modulator using the second OFDM signal and the second OFDM signal, and operating the modulator to produce a modulated signal from the first input and the second input.

Embodiments of this disclosure provide an impairment monitoring apparatus, impairment monitoring and compensating system and method. As a parameter of a impairment of a receiver end and/or a parameter of an impairment of a transmitter end is/are determined according to a preset period or a preset condition to perform compensation or calibration, complexity of calculation and power consumption of the system may be efficiently lowered. And as the parameter of the impairment of the receiver end and the parameter of the impairment of the transmitter end are not changed rapidly, determining these parameters according to the preset period or the preset condition to perform compensation or calibration will not affect an effect of the compensation or calibration, thereby ensuring a performance of the system.

The present invention relates to not only a 4th-generation (4G) communication system such as long term evolution (LTE), but also a 5th-generation (5G) or pre-5G communication system which is provided to support a higher data rate. The present invention provides a method for performing a channel decoding operation by a reception device in a communication system, the method comprising the steps of: generating at least two resource elements (REs) into at least two RE groups; and generating a soft decision decoding metric for a signal received through each of the at least two RE groups.

An improved receiver design implements a method for modeling users in SIC turbo loop multiuser detection architectures that reduces the number of implementation cycles, and thereby reduces the computational overhead associated with computing the inverse of the received signal covariance matrix, by efficiently reusing components of a QR decomposition. By reusing some of the computational results from the previous turbo loop's equalizer calculation, the disclosed receiver significantly reduces the computational burden of updating the linear equalizer on each turbo loop. Depending on the embodiment, this reduction can be accomplished in at least two different ways, depending on the dimensionality and other aspects of the implementation.

An improved receiver design implements a method for modeling users in SIC turbo loop multiuser detection architectures that reduces the number of implementation cycles, and thereby reduces the computational overhead associated with computing the inverse of the received signal covariance matrix, by efficiently reusing components of a QR decomposition. By reusing some of the computational results from the previous turbo loop's equalizer calculation, the disclosed receiver significantly reduces the computational burden of updating the linear equalizer on each turbo loop. Depending on the embodiment, this reduction can be accomplished in at least two different ways, depending on the dimensionality and other aspects of the implementation.

Disclosed herein are a received signal processing method including selecting a reference resource element (RE) from an RE group including a plurality of REs, generating a common filter to be shared among the plurality of REs of the RE group based on channel information of the reference RE, detecting primary signals, from which channel influence is removed, of the plurality of REs by applying the common filter to received signals of the plurality of REs, and generating secondary signals by compensating for primary signals of REs except for the reference RE among the plurality of REs using channel information of the REs, and a multiple input multiple output (MIMO) receiver.

An improved receiver design implements a method for modeling users in SIC turbo loop multiuser detection architectures that reduces the number of implementation cycles, and thereby reduces the computational overhead associated with computing the inverse of the received signal covariance matrix, by efficiently reusing components of a QR decomposition. By reusing some of the computational results from the previous turbo loop's equalizer calculation, the disclosed receiver significantly reduces the computational burden of updating the linear equalizer on each turbo loop. Depending on the embodiment, this reduction can be accomplished in at least two different ways, depending on the dimensionality and other aspects of the implementation.

A technology is described for moderating output confidence of output soft information associated with a MIMO detector. An example method can include generating output soft-information that is a measure of likelihood that a subset of bit sequence permutations correctly represents a bit sequence extracted from a radio signal received by the MIMO detector. Calculating a distance of the subset of bit sequence permutations to the bit sequence extracted from the radio signal. Determining that the output confidence of the output soft-information warrants adjustment of the output confidence of the output soft-information based in part on the distance of the bit sequence extracted from the radio signal to the subset of bit sequence permutations. And adjusting the output confidence of the output soft-information based in part on the distance of the bit sequence extracted from the radio signal to the subset of bit sequence permutations using an adjustment technique.