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Fast and low-complexity encoding of Raptor codes based on operation lists for known source block lengths

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Abstract

Raptor codes can provide good error correction capability and efficient encoding and decoding rate. Its fountain code property is effective in avoiding packet retransmission for both unicast and multicast service delivery. Hence, there are many mobile, vehicular and broadband applications adopting it such as mobile multimedia broadcasting, multimedia communications for high-speed rails and broadband IPTV systems. In this paper, we present an efficient systematic Raptor codes encoder based on operation lists for known source block lengths. For a Raptor codes application that can frequently use one or several fixed source block lengths (i.e., the number of source symbols in a source block), we could produce the corresponding operation lists in advance and use them to generate the encoding symbols more efficiently. We first introduce the basic architecture of the proposed Raptor encoder, and then describe the details about how to generate operation lists and Raptor intermediate symbols. The simulation results show that our encoder is at least two times faster than the conventional Raptor codes encoder which is adopted by 3GPP and DVB-H. Besides, the reduction on CPU utilization for a real Raptor-based streaming server is described, which is from 11.59 % to 53.41 %, depending on the employed source block length and symbol size.

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Authors and Affiliations

  1. Department of Computer Science, National Tsing Hua University, 2F., No.27, Aly. 34, Ln. 30, Siwei Rd., Wugu Dist., New Taipei City, 24874, Taiwan

    Shiuan-Tung Chen

  2. Industrial Technology Research Institute, Rm. 231, Bldg. 11, 195, Sec. 4, Chung Hsing Rd., Chutung, Hsinchu, 31040, Taiwan

    Hsin-Ta Chiao

  3. Industrial Technology Research Institute, Rm. 300-K, Bldg. 14, 195, Sec. 4, Chung Hsing Rd., Chutung, Hsinchu, 31040, Taiwan

    Shih-Ying Chang

  4. Department of Computer Science, National Tsing Hua University, No. 101, Section 2, Kuang-Fu Road, Hsinchu, 30013, Taiwan

    Hung-Min Sun

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  1. Shiuan-Tung Chen
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Correspondence to Hung-Min Sun.

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Chen, ST., Chiao, HT., Chang, SY. et al. Fast and low-complexity encoding of Raptor codes based on operation lists for known source block lengths. Multimed Tools Appl 76, 9219–9243 (2017). https://doi.org/10.1007/s11042-016-3529-5

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  • DOI: https://doi.org/10.1007/s11042-016-3529-5

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