Embodiments of the invention provide a decoder comprising at least one check node processing unit configured to receive at least three variable node messages from one or more variable node processing units and to determine one or more check node messages, wherein the at least one check node processing unit comprises at least two blocks of sub-check nodes, each block of sub-check node being configured to: determine a set of sub-check node syndromes from at least one variable node message among the at least three variable node messages; and determine at least one check node message from at least one syndrome.

Aspects of the disclosure provide an apparatus that includes transmitting circuit and processing circuit. The transmitting circuitry is configured to transmit wireless signals. The processing circuitry is configured to encode a set of information bits with a code that is configured for incremental redundancy to generate a code word that includes the information bits and parity bits, buffer the code word in a circular buffer, determine a start position in the circular buffer based on a redundancy version that is selected from a plurality of redundancy versions based on a scenario evaluation of a previous transmission associated with the set of information bits, and transmit, via the transmitting circuitry, a selected portion of the code word from the start position.

A decoder that is a decoding apparatus includes an error-correction decoder that executes error correction decoding processing of iteratively performing decoding processing with a window size and the number of decoding iterations indicated by decoding parameters, on received data converted into a spatially coupled low-density parity-check code, and a decoding parameter control unit that updates the decoding parameters on the basis of a decoding result obtained by the iteratively executed decoding processing.

An apparatus and method for optimizing a physical layer parameter is provided. According to one embodiment, an apparatus includes a first neural network configured to receive a transmission environment and a block error rate (BLER) and generate a value of a physical layer parameter; a second neural network configured to receive the transmission environment and the BLER and generate a signal to noise ratio (SNR) value; and a processor connected to the first neural network and the second neural network and configured to receive the transmission environment, the generated physical layer parameter, and the generated SNR, and to generate the BLER.

A memory device to estimate signal and noise characteristics of a group of memory cells in response to a command identifying the group of memory cells. For example, the memory device measures first signal and noise characteristics of the group of memory cells based on first test voltages, compute using the first signal and noise characteristics an optimized read voltage of the group of memory cells, and estimate, using the first signal and noise characteristics, second signal and noise characteristics of the group of memory cells, where the second signal and noise characteristics are based on second test voltages that are centered at the optimized read voltage of the group of memory cells.

A memory sub-system configured to: measure a plurality of sets of signal and noise characteristics of a group of memory cells in a memory device; determine a plurality of optimized read voltages of the group of memory cells from the plurality of sets of signal and noise characteristics respectively; generate features from the plurality of sets of signal and noise characteristics, including at least one compound feature generated from the plurality of sets of signal and noise characteristics; generate, using the features, a classification of a bit error rate of data retrievable from the group of memory cells; and control an operation to read the group of memory cells based on the classification.

Embodiments of the invention provide a decoder comprising at least one check node processing unit configured to receive at least three variable node messages from one or more variable node processing units and to determine one or more check node messages, wherein the at least one check node processing unit comprises at least two blocks of sub-check nodes, each block of sub-check node being configured to: determine a set of sub-check node syndromes from at least one variable node message among the at least three variable node messages; and determine at least one check node message from at least one syndrome.

A controller includes an interface and circuitry. The interface is coupled to multiple memory cells. The circuitry stores a code word in a group of the memory cells, reads the code word using different thresholds to produce first and second readouts, and checks whether approximating each of first and second numbers of readout errors based on syndrome weights is valid. In response to determining that only the approximation of the second number of errors is valid, the circuitry produces a combined readout by replacing a portion of the bits in the second readout with corresponding bits of the first readout, calculates an enhanced syndrome weight for the combined readout and estimates the first number of errors based on the enhanced syndrome weight. The circuitry improves readout performance from at least the group of the memory cells using at least one of the estimated first and second numbers of errors.

An embodiment method includes receiving, by a first user equipment (UE), a message, for a second UE, transmitted over a plurality of resource blocks (RBs) on behalf of a communications controller and determining a plurality of log-likelihood ratios (LLRs) in accordance with the received plurality of RBs. The method also includes transmitting, a subset of the determined LLRs to the second UE.

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE configured to receive a plurality of beams through a plurality of different receive beam directions, each of the beams including broadcast information on a PBCH. The apparatus may be further configured to determine, for each of a subset of the received beams, a log likelihood ratio (LLR) for coded bits of the broadcast information. The apparatus may be further configured to decode the broadcast information associated with each of the subset of the received beams, and determine a refined receive beam direction based on the determined LLRs and based on whether the broadcast information associated with each of the subset of the received beams fails to decode or is successfully decoded.