Adjusted robust Soliton distribution (ARSD) with reshaped ripple size for LT codes

Kuo Kuang Yen, Yen Chin Liao, Chih Lung Chen, Hsie-Chia Chang

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

In this work, we improve the performance of robust Soliton distribution (RSD) for LT codes by reshaping its expected ripple size. Our goal is to make the ripple size as close to a constant & theta;k as possible during BP decoding process, where 0 & lt; & theta; & le; 1 is called ripple size ratio (RSR) and k is the total number of input symbols. We only adjust the proportion of degree 1, degree 2 and the maximum existing degree in RSD to minimize the mean squared error between the expected ripple size and the constant & theta;k. In addition, we develop upper and lower bounds of RSR as well as an indicator for choosing RSD. Simulation results show that by carefully choosing RSR, the adjusted RSD (ARSD) is able to outperform RSD in terms of successful decoding rate. Compared to RSD, ARSD also reduces the average overhead needed to decode all k input symbols.

Original languageEnglish
DOIs
StatePublished - 1 Jan 2013
Event2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013 - Hangzhou, China
Duration: 24 Oct 201326 Oct 2013

Conference

Conference2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013
CountryChina
CityHangzhou
Period24/10/1326/10/13

Keywords

  • degree
  • LT code
  • Ripple

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