Huawei Technologies Co., Limited

Lsi Corporation

Avago Technologies General IP (singapore) Pte. Ltd.

Future Wei Technologies, Inc.

Intel Corporation

Ivan Leonidovich Mazurenko

Aleksey Alexandrovich Letunovskiy

Alexander Alexandrovich Petyushko

Wen Tong

Chaolong Zhang

Dmitry Nicolaevich Babin

Aleksandr Aleksandrovich Petiushko

Elyar Eldarovich Gasanov

Denis Vladimirovich Parkhomenko

Gleb Vyacheslavovich Kalachev

Pavel Anatolyevich Panteleev

Jie Jin

Alexander Borisovich Kholodenko

Jian Wang

Carmela Cozzo

Pavel Aleksandrovich Aliseychik

Alexander Markovic

Denis Vladimirovich Zaytsev

Denis Vassilevich Parfenov

Denis Vasilyevich Parfenov

Meng-Lin Yu

Jian-Guo Chen

Yurii Sergeevich Shutkin

Pavel Aleksandrovich Aliseitchik

Yang Han

Anatoli Aleksandrovich Bolotov

Andrey Nikitin

Ilya Viktorovich Lyalin

Denis Vasilievich Parfenov

Dmitry Nikolaevich Babin

Fan Zhang

Stanislav V Aleshin

Lav D Ivanovic

Jiang Li

Barrett J Brickner

David G Shaw

Alexander Nikolaevich Filippov

A low density parity check (LDPC) channel encoding method is used in a wireless communications system. A communication device encodes an input bit sequence by using an LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. The base matrix may be one of eight exemplary designs. The encoding method can be used in various communications systems including fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.

Method and apparatus for low density parity check channel coding in wireless communication system

Embodiments of this application disclose provides a low density parity check (LDPC) channel encoding method for use in a wireless communications system. A communication device encodes an input bit sequence by using a LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. Embodiments of the application provide eight particular designs of the base matrix. The encoding method provided in the embodiments of the application can be used in various communications systems including the fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.

A method for generating a code, a method for encoding and decoding data, and an encoder and a decoder performing the encoding and decoding are disclosed. In an embodiment, a method for lifting a child code from a base code for encoding and decoding data includes determining a single combination of a circulant size, a lifting function, and a labelled base matrix PCM according to an information length and a code rate using data stored in a lifting table. The lifting table was defined at a code generation stage. The method also includes calculating a plurality of shifts for the child code. Each shift is calculated by applying the lifting function to the labelled base matrix PCM with a defined index using the circulant size and using the derived child PCM to encode or decode data.

Multi-label offset lifting method

Certain aspects of the present disclosure provide an efficiently decodable QC-LDPC code which is based on a base matrix, the base matrix being formed by columns and rows, the columns being dividable into one or more columns corresponding to punctured variable nodes and columns corresponding to non-punctured variable nodes. Apparatus at a transmitting side includes a encoder configured to encode a sequence of information bits based on the base matrix. Apparatus at a receiving side configured to receive a codeword in accordance with a radio technology across a wireless channel. The apparatus at the receiving side includes a decoder configured to decode the codeword based on the base matrix.

Method and apparatus for encoding and decoding LDPC codes

A base matrix of a rate-adaptive irregular QC-LDPC code is provided, the base matrix being formed by columns and rows having entries representing circulant submatrices. The columns of the base matrix are divided into at least one or more higher weight first columns and lower weight second columns and the rows of the base matrix are divided into first high weight rows corresponding to the high rate mother code and second low weight rows corresponding to the extension part related to the lower rate codes. A first submatrix formed by an intersection of entries of the second columns and entries of the first and the second rows is divided into first quadratic submatrices, wherein at most one entry in each column of each first submatrix and/or at most one entry in each row of each first submatrix is labelled.

Efficiently decodable QC-LDPC code

This application discloses an encoding method, an apparatus, a communications device, and a communications system. The method includes: encoding an input bit sequence by using a low density parity check LDPC matrix, where the LDPC matrix is obtained based on a lifting factor Z and a base matrix, and the base matrix includes a row 0 to a row 4 and a column 0 to a column 26 in one of matrices shown in FIG.-A to FIG.-B, or the base matrix includes a row 0 to a row 4 and some of a column 0 to a column 26 in one of matrices shown in FIG.-A to FIG.-B. According to the encoding method, the apparatus, the communications device, and the communications system, channel coding requirements can be met.

Information processing method, apparatus, and communications device

A decoding method, an encoding method, a decoder and an encoder are disclosed. In an embodiment the decoding method includes receiving, at a receiver of a receiving side, signals from a transmitting side, the signals including a code word and decoding, at a decoder of the receiving side, the code word using a low density parity check (LDPC) code in which each n adjacent rows, n&#x3e;1, in an extension part of a base parity check matrix (PCM) are orthogonal except for punctured information columns.

Compact low density parity check (LDPC) base graph

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Khimki, Russia

Ivan Leonidovich Mazurenko