Systems and techniques are provided for performing wireless communications. In some aspects, a user equipment (UE) may receive from a first wireless node via a first channel, a first transmission comprising a first artificial noise (AN) signal combined with a first data signal, wherein the first AN signal is generated based on channel state information (CSI) of the first channel. The UE may receive, from a second wireless node via a second channel, a second transmission comprising a second AN signal combined with a second data signal, wherein the second AN signal is generated based on CSI of the second channel and is different from the first AN signal. The UE can determine a data message based on the first transmission and the second transmission.

Systems and methods for mitigating the effect of in-band interference. The methods comprise: receiving a signal comprising at least one interfering signal component; generating a soft value for each symbol in at least one interfering signal component; and using the soft values to cancel at least one interfering signal component from the signal to mitigate the effect of interference. The soft value represents a most likely value for the symbol which is obtained by: determining a probability metric between an actual value of the symbol and each of a plurality of possible symbol values using a scaling value representing an estimate of the noise level in the signal received by the device; generating current local probabilities for the plurality of possible symbol values using the probability metric; and using the current local probabilities to determine the soft value.

An iterative two dimension equalizer usable in a receiver of orthogonal time frequency space (OTFS) modulated signals is described. In one configuration of the equalizer, a forward path generates, from received time-frequency domain samples and a channel estimate, estimates of data bits and likelihood numbers associated with the estimates of data bits, generated by delay-Doppler domain processing. In the feedback direction, the estimates of data bits are used to generate symbol estimates and autocorrelation matrix estimate in the time domain. In another configuration, a soft symbol mapper is used in the feedback direction for directly generating the feedback input symbol estimate without having to generate estimates of data bits.

Introduced here is at least one technique to better estimate interference at a receiver. The technique includes receiving a plurality of reference signals, which each have information indicative of noise. Thus, the technique further includes, for each reference signal, determining a noise estimation and determining a distance metric and log-likelihood ratio (LLR) of the noise estimation. Once the distance metric and LLR of each reference signal is determined, the receiver can determine a final LLR based on the distance metric and LLR of each reference signal. In this manner, a final LLR is determined. This technique can be applied by any device operating on MIMO technology.

Embodiments of the present disclosure relate to a method, an apparatus and a computer readable storage medium for generating soft-decision information for a receiver. In example embodiments, a method is provided. The method includes receiving, at a first device, a signal from a second device, the signal corresponding to a group of symbols transmitted from the second device; determining, by performing Lattice Reduction linear detection on the signal, a first group of estimated symbols for the group of symbols; determining, by performing iterative interference cancellation on the first group of estimated symbols, a second group of estimated symbols for the group of symbols; and generating, based on the second group of estimated symbols, soft-decision information about the group of symbols for use by a decoder at the first device. Embodiments of the present disclosure can improve the receiver performance with reduced complexity.

A method of processing a digitally encoded radio signal (102) comprising a bit to be determined is disclosed. The method comprises correlating a first bit sequence (103) comprising the bit with a plurality of predetermined filters (104a-h) to create a first set of filter coefficients (110a-h); calculating (120) a first likelihood data set (124) comprising a likelihood of said bit having a given value for each bit position from the first set of filter coefficients. A second bit sequence (103) comprising the bit at a different position is then correlated with the filters to create a second set of filter coefficients (10a-h), from which a second likelihood data set (124) is calculated. A soft output bit (26) comprising a probability weighted bit value from data corresponding to the bit at a first and second bit positions from the first and second likelihood data sets respectively is then calculated.

A method, system, and apparatus are provided for computing soft bits in a non-linear MIMO detector which decodes a signal received at a plurality of receive antennas using channel estimate information and a decoding tree to produce output data for a bit estimation value which includes a maximum likelihood solution along with a naturally ordered vector identifying all explored node metrics and node indices, where soft bits are computed for each bit estimation value by determining a set of bit-masks through repetition and indexing operations applied on the explored node indices, masking the naturally ordered vector with the set of bit-masks to generate masked node metrics, determining candidate soft bit values by subtracting metrics of all nodes that form the maximum likelihood solution from the masked node metrics, and determining a final soft bit value by identifying which of the candidate soft bit values has a lowest value.

The disclosure relates to bit-interleaved coded modulation with iterative decoding. In some implementations, a receiver comprises: a first memory including multiple first sub-memories; a decoder configured to perform first operations comprising: calculating, first extrinsic information of multiple code bits associated with multiple received symbols; and a demapper configured to perform second operations comprising: calculating soft decision information of the code bits; calculating, based on the soft decision information and the first extrinsic information, second extrinsic information of the code bits; and writing the second extrinsic information of the code bits into the first memory such that, for each received symbol, each sub-memory of the first sub-memories respectively stores the second extrinsic information associated with a respective one of the code bits corresponding to the received symbol.

A method includes receiving a first cycle of an original cyclic signal. One or more cyclic parameters of the first cycle of the original cyclic signal are estimated. The original cyclic signal is predicted in counts, based at least partially upon the one or more cyclic parameters and one or more sensor parameters, to produce a predicted cyclic signal that corresponds to the original cyclic signal. The predicted cyclic signal includes biased, dual-state, differential pulse-code modulation (DPCM) data. A second cycle of the original cyclic signal is predicted based upon the predicted cyclic signal.

Certain aspects of the present disclosure generally relate to techniques for combining a plurality of decision metrics of a scrambled payload in a 5G wireless communications system. For example, in some cases, combining decision metrics of a scrambled payload may generally involve receiving a first payload at a receiver that was scrambled both before and after encoding, generating a second payload at the receiver with selectively set payload mask bits, and using the selectively-set payload mask bits in the second payload to descramble the first payload.