H03M13/6577

POLAR DECODER WITH LLR-DOMAIN COMPUTATION OF F-FUNCTION AND G-FUNCTION

A polar decoder kernal is described. The polar decoder kernal includes a processing unit having: at least one input configured to receive at least one input Logarithmic Likelihood Ratio, LLR; a logic circuit configured to manipulate the at least one input LLR; and at least one output configured to output the manipulated at least one LLR. The logic circuit of the processing unit includes only a single two-input adder to manipulate the at least one input LLR, and the input LLR and manipulated LLR are in a format of a fixed-point number representation that comprises a two's complement binary number and an additional sign bit.

UPO COMPLIANT INFORMATION SEQUENCES FOR POLAR CODES
20210135689 · 2021-05-06 ·

According to some embodiments, a method of operation of a transmit node in a wireless communication system comprises performing polar encoding of a set of K information bits to thereby generate a set of polar-encoded information bits. The K information bits are mapped to the first K bit locations in an information sequence S.sub.N. The information sequence S.sub.N is a ranked sequence of N information bit locations among a plurality of input bits for the polar encoding where N is equivalent to a code length. A size of the information sequence S.sub.N is greater than or equal to K. The information sequence S.sub.N is optimized for the specific value of the code length (N). The method may further comprise transmitting the set of polar-encoded information bits.

Low density parity check code decoder and method for decoding LDPC code

A check node update processor of the low density parity check (LDPC) code decoder includes: an approximate first minimum (AFM) condition check unit which checks whether a predetermined specific condition is satisfied, and a check node determining unit which sets an approximate minimum value as a size of an entire check node output when it is determined that the specific condition is satisfied as a checking result in the AFM condition check unit and calculates a first minimum value as a true minimum value and sets a second minimum value as an approximate minimum value when it is determined that the specific condition is not satisfied to determine a size of the check node output.

DATA COMMUNICATION PROCESSING METHOD AND DEVICE
20210050930 · 2021-02-18 ·

Provided are a data communication processing method and device. The method includes: acquiring a modulation order and a target code rate; calculating an intermediate number N.sub.info of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N.sub.info of the information bits to obtain the quantized intermediate number N.sub.info; determining a transport block size (TBS) according to the quantized intermediate number N.sub.info.

Non-linear LLR look-up tables

In one implementation, the disclosure provides a system including a detector configured to generate an output of a first log-likelihood ratio for each bit in an input data stream. The system also includes at least one look-up table providing a mapping of the first log-likelihood ratio to a second log-likelihood ratio. The mapping between the first log-likelihood ratio and the second log-likelihood ratio is non-linear. The system also includes a decoder configured to generate an output data stream using the second log-likelihood ratio to generate a value for each bit in the input data stream.

Error correction circuit and method of operating the same
10931308 · 2021-02-23 · ·

Described herein is an error correction circuit that includes a syndrome check history manager configured to maintain a history of syndrome checks corresponding to one or more iterations of the iterative decoding scheme. The error correction circuit also includes a trapping set detector configured to compare a trapping set determination policy with the history of syndrome checks to determine whether the history of syndrome checks meets criteria of the trapping set determination policy, while error correction decoding is performed, and determine that a trapping set exists when the history of syndrome checks satisfies the trapping set determination policy. The trapping set determination policy is related to at least one of a change in a syndrome vector, a number of UCNs, and a change in the number of UCNs.

Compressing error vectors for decoding logic to store compressed in a decoder memory used by the decoding logic
11063607 · 2021-07-13 · ·

Provided are an apparatus, storage device, and method for compressing error vectors for decoding logic to store compressed in an decoder memory used by the decoding logic. A decoder decodes codewords to produce error vectors used to decode the codewords. A decoder memory device stores the error vectors. A compression unit receives the error vector from the decoder during decoding of the codeword. Each bit in the error vector has one of a first value and a second value. A determination is made of at least one bit location in the error vector having the first value. At least one pointer is stored in a row of memory cells in the decoder memory device indicating the determined at least one bit location in the codeword having the first value.

Error correction device, operating method of error correction device, and controller including error correction device

An error correction device includes a low density parity check (LDPC) decoder and an adaptive decoding controller. The LDPC decoder iteratively performs LDPC decoding on data by using a decoding parameter. The adaptive decoding controller calculates an error rate depending on a result of the LDPC decoding and adjusts the decoding parameter depending on the error rate.

Irregular polar code encoding

A transmitter for transmitting an encoded codeword over a communication channel includes a source to accept source data, an irregular polar encoder operated by a processor to encode the source data with at least one polar code to produce the encoded codeword, a modulator to modulate the encoded codeword, and a front end to transmit the modulated and encoded codeword over the communication channel. The polar code is specified by a set of regular parameters including one or combination of parameters defining a number of data bits in the codeword, a parameter defining a data index set specifying locations of frozen bits in the encoded codeword, and a parameter defining a number of parity bits in the encoded codeword. The polar code is further specified by a set of irregular parameters including one or combination of parameters defining an irregularity of values of at least one regular parameter of the polar code, a parameter defining an irregularity of permutation of the encoded bits, a parameter defining an irregularity of polarization kernels in the polar code, and a parameter defining an irregularity in selection of de-activated exclusive-or operations on different stages of the polar encoding, and wherein the irregular polar encoder encodes the codeword using the regular and the irregular parameters of the polar code.

Non-linear LLR look-up tables

In one implementation, the disclosure provides a system including a detector configured to generate an output of a first log-likelihood ratio for each bit in an input data stream. The system also includes at least one look-up table providing a mapping of the first log-likelihood ratio to a second log-likelihood ratio. The mapping between the first log-likelihood ratio and the second log-likelihood ratio is non-linear. The system also includes a decoder configured to generate an output data stream using the second log-likelihood ratio to generate a value for each bit in the input data stream.