Abstract:
本発明は、回路規模を抑制しつつ、動作周波数も十分実現可能な範囲に抑え、メモリアクセスの制御も容易に行うことをできるようにする復号方法および復号装置、並びにプログラムに関する。LDPC(Low Density Parity Check)符号の元の検査行列に対して、行置換と列置換のうちの一方または両方を行って得られる変換検査行列を用いて、LDPC符号が復号される。この場合に、P×Pの単位行列、その単位行列のコンポーネントである1のうちの1個以上が0になった行列である準単位行列、単位行列もしくは準単位行列をサイクリックシフトした行列であるシフト行列、単位行列、準単位行列、もしくはシフト行列のうちの複数の和である和行列、またはP×Pの0行列を構成行列として、変換検査行列は、複数の構成行列の組合せで表される。チェックノード計算部302は、チェックノードの演算を、P個同時に行い、バリアブルノード計算部304は、バリアブルノードの演算を、P個同時に行う。
Abstract translation:提供了一种能够将操作频率抑制到能够充分实现的范围的解码方法,解码装置和程序,并且在抑制电路尺寸的同时容易地执行存储器访问的控制。 LDPC(低密度奇偶校验)码通过使用获得LDPC码的元素的检查矩阵的行替换和列替换中的一个或两个的转换检查矩阵来解码。 在这种情况下,转换检查矩阵可以由多个构成矩阵的组合来表示,例如单位矩阵P x P,单位矩阵的一个或多个成分1变为0的准单位矩阵, 单位矩阵或准单位矩阵循环移位的移位矩阵,作为单位矩阵,准单位矩阵和移位矩阵中的至少两个的和的和矩阵,或P的0矩阵 x P.一个校验节点计算部分(302)同时执行P个校验节点的计算,而可变节点计算部分(304)同时执行P个可变节点的计算。
Abstract:
The invention relates to a method for decoding a code word, wherein a soft value is present in each position (each bit) of the code word. Said soft values are sorted according to their reliability (in accordance with a given sorting criterion). Decoding of the code word is carried out on the basis of the sorted soft values.
Abstract:
Various methods and apparatuses are disclosed, including a method for optimizing FEC code for an average number of interfering users in a multiple access communication, that includes receiving an FEC code optimization information, switchable between at least a first value and a second value, and selecting a first optimized FEC code based at least in part on the FEC code selection information being at the first value, and selecting a second optimized FEC code based at least in part on the FEC code selection information being at the second value. The method can include receiving a source bit stream, encoding bits of the source bit stream according to the selected optimized FEC code into a series of FEC encoded bits, and a parity check matrix of the first optimized FEC code has a first average information bit node degree, and a parity check matrix of the second optimized FEC code has a second average information bit node degree.
Abstract:
A method to explicitly indicate the version information while still supporting soft combining is disclosed. A polar code encoder maps q bits to q positions of q sub-channels, q is a positive integer; wherein the q bits are used to indicate a version of encoded codeword; map 1 to a special frozen bit corresponding to the q bits; map K-q information bits to K-q positions for the K-q information bits, K is an integer, K>q; and perform polar encoding over an input vector u 0 N-1 comprising the q bits, the special frozen bit and the K-q information bits, with the length of N, N is an integer, N>=K. With this method, there is no need to make blind detection to achieve the version information of transmitted payload, which reduces power consumption for a receiver.
Abstract:
QC LDPC (Quasi-Cyclic Low-Density Parity Check) 코드의 레이트 매칭 방법이 개시된다. 본 개시물의 레이트 매칭 방법에 있어서, 목표 코드 블록의 길이보다 긴 코드워드의 길이를 생성할 수 있는 리프팅 값들 중 최소의 리프팅 값이 선택될 수 있다. 목표 코드 블록의 길이보다 긴 코드워드를 생성함으로써 재송신에 의한 코딩 이득이 획득될 수 있다. 또한, 적절한 크기의 리프팅 값을 선택함으로써 다양한 길이의 정보 비트 시퀀스에 대한 레이트 매칭이 수행될 수 있다.
Abstract:
A method includes accessing information, and at least one of encoding or decoding the information using a parity check matrix based on a coding rate. A portion of a data part in the parity check matrix has been generated based on part or all of another matrix. Apparatus, computer programs, and computer program products are also described. The apparatus may be a wireless mobile device or a wireless network access node. A communication system may include one or more of the wireless mobile devices and one or more of the access nodes, each using a version of the method.
Abstract:
Coding and retransmission schemes including variations to HARQ feedback techniques for broadband wireless communication networks are provided. A first codeword (308) can be obtained by encoding an information block (302) according to a first parity-check matrix (304). A portion of the first codeword (310) can be transmitted to a remote device. A second codeword (314) can be obtained by encoding the information block according to a second parity-check matrix (306). A portion of the second codeword (312) can be transmitted to the remote device for soft-combining decoding. Alternatively, the first codeword (408) can be obtained by modifying the information block according to a first permutation (404) and the second codeword (416) can be obtained by modifying the information block according to a second permutation (412) prior to encoding by the same parity-check matrix (406, 414). The parity-check matrices can be based on rate-adaptable LDPC codes. Permutation variations and parity-check matrix variations can be explicitly or implicitly provided to the remote device.
Abstract:
L'invention concerne un procédé de décodage d'une séquence y de n échantillons reçus par un décodeur et correspondant, après transmission, à une séquence c codée de n bits obtenue en appliquant au codage un code correcteur d'erreurs linéaires à des symboles source, le procédé (1) comprenant : • une procédure (2) de décodage à maximum de vraisemblance de la séquence y reçue utilisant une pluralité de treillis pour déterminer une pluralité correspondante de mots décodés, ainsi produisant une pluralité de décisions, dites intermédiaires, pour chacun des n échantillon reçus, • une procédure (3) de détection d'erreur sur les bits des mots décodés utilisant une règle de l'unanimité entre les décisions intermédiaires afférant à chaque échantillon et de prise de décision d'une valeur estimée des n bits de la séquence c codée.
Abstract:
There is provided a method of generating a space-time block code (STBC) for encoding a digital data sequence comprising a set of independent symbols to be transmitted through a transmission channel in a communication system, the space-time block code being represented by a set of linear dispersion matrices in a linear dispersion representation, each linear dispersion matrix comprising components having complex values, the method comprising, generating at least some of the linear dispersion matrices depending on component-wise conditions related to a set of selected pairs of the linear dispersion matrices, each pair comprising a first linear dispersion matrix and a second linear dispersion matrix, said component-wise conditions comprising a component-wise condition between the components of the first linear dispersion matrix and the components of the second linear dispersion matrix.