Huawei Technologies Co., Limited

Mikhail Sergeevich Kamenev

Nikita Andreevich Polianskii

Jian Wang

Zukang Shen

Yunfei Qiao

Ying Chen

Hejia Luo

Gongzheng Zhang

Huazi Zhang

Yinggang Du

Lingchen Huang

Shengchen Dai

Chen Xu

Yourui Huangfu

Vasily Stanislavovich Usatyuk

Ilya Viktorovich Vorobyev

German Viktorovich Svistunov

Vladimir Anatolyevich Gaev

Yulia Borisovna Kameneva

Rong Li

Jian Jun Wang

Jie Jin

Oleg Feat'evich Kurmaev

Iuliia Borisovna Kameneva

This application relates to the field of wireless communications technologies, and discloses an encoding method and apparatus, to improve accuracy of reliability calculation and ordering for polarized channels. The method includes: obtaining a first sequence used to encode K to-be-encoded bits, where the first sequence includes sequence numbers of N polarized channels, the first sequence is same as a second sequence or a subset of the second sequence, the second sequence comprises sequence numbers of Npolarized channels, and the second sequence is the sequence shown in Sequence Q11 or Table Q11, K is a positive integer, N is a positive integer power of 2, n is equal to or greater than 5, K≤N, N=1024; selecting sequence numbers of K polarized channels from the first sequence; and performing polar code encoding on K the to-be-encoded bits based on the selected sequence numbers of the K polarized channels.

Polar code encoding method and apparatus in wireless communications

This application relates to the field of wireless communications technologies, and discloses an encoding method and apparatus, to improve accuracy of reliability calculation and ordering for polarized channels. The method includes: obtaining a first sequence used to encode K to-be-encoded bits, where the first sequence includes sequence numbers of N polarized channels, the first sequence is same as a second sequence or a subset of the second sequence, the second sequence comprises sequence numbers of Npolarized channels, and the second sequence is the sequence shown in Sequence Q11 or Table Q11, K is a positive integer, N is a positive integer power of 2, n is equal to or greater than 5, K&#x2264;N, N=1024; selecting sequence numbers of K polarized channels from the first sequence; and performing polar code encoding on K the to-be-encoded bits based on the selected sequence numbers of the K polarized channels.

The device and method disclosed herein are configured for generating a polar code of length N and dimension K on the basis of an original polar code being defined by a code sequence S having Nbit indices sorted from least reliable to most reliable sub-channels. The device comprises a processing unit configured to: (a) generate an auxiliary code sequence having N/2 bit indices by removing bit indices greater than or equal to N/2 from the code sequence S; (b) remove from the auxiliary code sequence the last Nbit indices to generate a modified auxiliary code sequence; and (c) generate the polar code of length N and dimension K by puncturing the original polar code on the basis of a puncturing set defined by the last p=N&#x2212;N bit indices of the modified auxiliary code sequence.

Devices and methods for generating block punctured polar codes

Provided is a system and method for determining a generalized Low-Density Parity-Check (LDPC) code for forward error correction channel coding that has a repeat-accumulate code structure.

Generalized low-density parity check codes (GLDPC)

Provided is an encoder, a decoder, a computer-readable medium and methods of forward error correction channel encoding/decoding within a HARQ scheme, based on a generalized quasi-cyclic low-density parity-check code comprising a Cordaro-Wagner component code.

Generalized low-density parity check codes in digital communication system

Growing community of inventors

Moscow, Russia

Mikhail Sergeevich Kamenev