A Design of Systematic Physical-layer Raptor Codes for High throughput and Low complexity

• Main Authors: Hui-Ming Wang, 王會名
• Other Authors: Mao-Chao Lin
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/8258z8

碩士 === 國立臺灣大學 === 電信工程學研究所 === 106 === This thesis studies physical-layer channel coding with incremental redundancy over the additive white Gaussian noise channel together with a feedback channel. More specifically, we study the physical layer Raptor (PLR) Codes. Raptor Codes is a rateless code that is composed of a Luby transform (LT) codes and a Low-Density Parity-check (LDPC) code. For practical applications, the decoding complexity is an important issue. It has been shown that systematic PLR codes can be implemented with much lower complexity as compared to the nonsystematic counterparts. We propose a design to find a systematic PLR code with adaptive degree distributions which can obtain throughput at least as good as the nonsystematic counterpart. Moreover, we provide convergence analysis to predict the number of iterations needed for obtaining successful decoding. The analysis matches well with the throughput obtained from simulation.