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Two Degree Forest Based LT Codes with Feedback

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Communications and Networking (ChinaCom 2016)

Abstract

The performance of belief propagation (BP) decoding algorithm for LT codes is significantly deteriorated, as the data-block length decreases, since the randomly encoding of LT codes causes lots of wasted output symbols, which is helpless for decoding. To solve this problem, this paper provides two degree forest based LT codes in order to help the sender to send badly needed symbols to accelerate decoding throughout entire receiving process. Through gathering two degree output symbols into separable trees, the decoder can easily get and feedback the indexes of the badly needed input symbols. Simulation results show that, in the short data-block length case, two degree forest based LT codes achieve much lower coding overhead, consume much smaller storage resources, and need less feedback opportunities compared with current LT codes algorithms.

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Acknowledgments

This work is supported in part by National Natural Science Foundation of China (Grant Nos. 61231013, 91438206, 91538202 and 61521091) and Fundamental Research Funds for the Central Universities (Grant No. YMF-14-DZXY-027).

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Correspondence to Liang Liu .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liu, L., Liu, F. (2018). Two Degree Forest Based LT Codes with Feedback. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 209. Springer, Cham. https://doi.org/10.1007/978-3-319-66625-9_23

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  • DOI: https://doi.org/10.1007/978-3-319-66625-9_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66624-2

  • Online ISBN: 978-3-319-66625-9

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