Huawei Technologies Co., Limited

Yoones Hashemi Toroghi

Bashirreza Karimi

Hamid Ebrahimzad

Chunpo Pan

Masoud Barakatain

Frank Robert Kschischang

Deyuan Chang

Ali Farsiabi

Alvin Yonathan Sukmadji

Disclosed are systems and methods for transmission and reception of data bits. A plurality of data bits are received. FEC-based encoded data bits are generated in accordance with a zipper code framework incorporating component non-binary codes. The zipper code framework includes a buffer having a virtual buffer and a real buffer. Codewords associated with the FEC-based encoded data bits are stored in rows of the real buffer. A given codeword in a given row of the real buffer is mapped to different rows of the virtual buffer in a quasi-diagonal interleaving manner.

Zipper code framework-based communication systems and methods

Forward Error Correction decoding is executed by acquiring a stream of real data symbols from a communication medium, the stream of real data symbols being arranged in a real matrix. Virtual data symbols are generated and arranged in a virtual matrix by applying an interleaver map onto the real matrix. Codewords formed by a main matrix formed by the real matrix and the virtual matrix are iteratively decoded, an iteration of the decoding comprising identifying a set of consecutive received rows of the main matrix, accessing a set of pre-determined reference codewords and in response to determining that a given codeword of the set of consecutive received rows does not match any pre-determined reference codewords, executing a GRAND algorithm on the given codeword, the GRAND algorithm generating a substitute codeword for the given codeword. A system comprising a processor and a memory executes the Forward Error Correction decoding.

Systems and methods for executing forward error correction decoding using a guessing random additive noise decoding algorithm

There is provided methods and processors for executing Forward Error Correction (FEC) coding. The method includes acquiring a stream of real data symbols from a communication medium. The stream of real data symbols being arranged in a real matrix. The method includes generating virtual data symbols being arranged in a virtual matrix. The generating includes applying an interleaver map onto the matrix such that (i) at most c number of virtual data symbols in a given virtual row of the virtual matrix are copies of (ii) real data symbols associated with a same real row of the real matrix, c being a positive integer higher than 1. The method includes decoding codewords formed by the virtual matrix and the matrix.

Systems and methods for executing forward error correction coding

A multidimensional multilevel coding (MLC) encoder comprises a soft forward error correction (FEC) encoder receiving first bits for generating soft FEC encoded bits, a redundancy generator receiving a subset of the soft FEC encoded bits for generating redundant bits, and a hard FEC encoder receiving second bits for generating hard FEC encoded bits. Combinations of the soft FEC encoded bits, the redundant bits, and the hard FEC encoded bits form labels for mapping to a plurality of constellation points. A MLC decoder comprises a redundancy decoder, a soft FEC decoder and a hard FEC decoder. The redundancy decoder combines log-likelihood-ratios (LLR) of soft FEC encoded bits received from the MLC encoder to allow the soft FEC decoder to produce decoded bits. Decoding of hard FEC encoded bits by the hard FEC decoder is conditioned on values of the bits decoded by the soft FEC decoder.

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Ottawa, Canada

Yoones Hashemi Toroghi