An error correction circuit includes a memory that stores at least one decoding parameter, a low density parity check (LDPC) decoder that includes a first variable node storing one bit of the data, receives the at least one decoding parameter from the memory, decides a degree of the first variable node based on the at least one decoding parameter, and decides a decoding rule necessary for decoding of the one bit based on the degree of the first variable node, and an adaptive decoding controller that outputs corrected data based on a decoding result of the LDPC decoder.

An error correction circuit includes a memory that stores at least one decoding parameter, a low density parity check (LDPC) decoder that includes a first variable node storing one bit of the data, receives the at least one decoding parameter from the memory, decides a degree of the first variable node based on the at least one decoding parameter, and decides a decoding rule necessary for decoding of the one bit based on the degree of the first variable node, and an adaptive decoding controller that outputs corrected data based on a decoding result of the LDPC decoder.

The disclosed invention provides system and method for multi-path mesh network communications. The network system utilizes multiple communication paths and linearly encoded and disassembled packets through mathematical coding techniques that respectively travel the communication paths. The system includes an encoder, a transmitter, a decoder and a receiver. The encoder receives data from an external source and linearly encodes and simultaneously disassembles the data to generate copackets. None of the individual copackets contain decodable information of the data. The transmitter is coupled to the multiple communication paths and respectively transmits the copackets through different communication paths. The receiver receives the copackets transmitted through the communication paths. The decoder decodes available copackets and reassembles the data from the available copackets if a number of the available copackets are no less than a mathematically calculated number. The reassembled data has the complete information of the data originally transmitted.

The present disclosure relates to a pre-5.sup.th-Generation (5G) or 5G communication system to be provided for supporting higher data rates beyond 4.sup.th-Generation (4G) communication system, such as long-term evolution (LTE). The disclosure provides decoding of a low-density parity-check (LDPC) code in a wireless communication system, and a decoding method of the LDPC code may include receiving a codeword, performing decoding iterations on the codeword a predefined maximum number of times using a parity check matrix, performing partial decoding using a partial area of the parity check matrix, and determining decoding success or failure of the codeword based a result of the partial decoding.

Low-density parity-check (LDPC) encoded data with one or more errors and information associated with an early convergence checkpoint are received. The information associated with the early convergence checkpoint is used to perform LDPC decoding on the LDPC encoded data up to the early convergence checkpoint and generate a decoded codeword where the early convergence checkpoint is prior to a first complete iteration of the LDPC decoding. It is determined whether the LDPC decoding is successful and in the event it is determined that the LDPC decoding is successful, the decoded codeword is output.

A method for performing low density parity check (LDPC) coding of a transmitter in a wireless communication system, according to the present disclosure, may comprise the steps of: acquiring a proto-matrix corresponding to a protograph; on the basis of weights and lifting factors of columns of the proto-matrix, acquiring one or more permuted vectors corresponding to each of the columns, a first permuted vector included in the one or more permuted vectors having been randomly generated; distributing the one or more permuted vectors for each row of a corresponding column; on the basis of the distributed one or more permuted vectors, acquiring a plurality of lifted sub matrices corresponding to a plurality of elements of the proto-matrix; generating a base graph on the basis of the plurality of lifted sub matrices; generating a parity check matrix (PCM) on the basis of the base graph; and performing LDPC coding by using the PCM.

Methods, systems, and devices for wireless communications are described. A wireless communication system may support techniques for correlation-based hardware sequences for layered decoding. In some cases, a user equipment (UE) may partition layers of a submatrix associated with a parity check decoding procedure into a first set of layers and a second set of layers. The UE may sort each set of layers into a respective set of layer orders (e.g., a first set of layer orders and a second set of layer orders) based on an associated set of correlation values. The UE may combine the first set of layer orders and the second set of layer orders to obtain a set of combined layer orders and may select a decoding schedule from a set of decoding schedules used for decoding each of the combined layer orders based on respective schedule lengths for the set of decoding schedules.

A multi-channel decoder circuit associated with a multi-channel decoder system is disclosed. The multi-channel decoder circuit comprises a distributed decoder circuit comprising a set of unit decoder circuits, each unit decoder circuit configured to receive one or more codewords of a plurality of codewords associated with a plurality of input channels, and decode the one or more codewords. The multi-channel decoder circuit further comprises a distribution controller circuit configured to distribute each incoming codeword of the one or more codewords to the respective unit decoder circuit of the set of unit decoder circuits within the distributed decoder circuit, based on determining a currently available unit decoder circuit within the set of unit decoder circuits.

Provided is an information processing method. The method includes that: first data to be decoded and one or more decoding parameters of the first data are obtained; a basis matrix is determined based on the one or more decoding parameters; a decoding instruction set including a plurality of decoding instructions is determined based on the basis matrix, wherein the plurality of decoding instructions include elements in the basis matrix; and the first data is decoded based on the decoding instruction set. Further provided are an information processing device and a computer storage medium.

The disclosed invention provides system and method for multi-path mesh network communications. The network system utilizes multiple communication paths and linearly encoded and disassembled packets through mathematical coding techniques that respectively travel the communication paths. The system includes an encoder, a transmitter, a decoder and a receiver. The encoder receives data from an external source and linearly encodes and simultaneously disassembles the data to generate copackets. None of the individual copackets contain decodable information of the data. The transmitter is coupled to the multiple communication paths and respectively transmits the copackets through different communication paths. The receiver receives the copackets transmitted through the communication paths. The decoder decodes available copackets and reassembles the data from the available copackets if a number of the available copackets are no less than a mathematically calculated number. The reassembled data has the complete information of the data originally transmitted.