A 115mW 1Gbps bit-serial layered LDPC decoder for WiMAX

Xiongxin Zhao*, Xiao Peng, Zhixiang Chen, Dajiang Zhou, Satoshi Goto

*この研究の対応する著者

    研究成果: Article査読

    2 被引用数 (Scopus)

    抄録

    Structured quasi-cyclic low-density parity-check (QCLDPC) codes have been adopted in many wireless communication standards, such as WiMAX, Wi-Fi and WPAN. To completely support the variable code rate (multi-rate) and variable code length (multi-length) implementation for universal applications, the partial-parallel layered LDPC decoder architecture is straightforward and widely used in the decoder design. In this paper, we propose a high parallel LDPC decoder architecture for WiMAX system with dedicated ASIC design. Different from the block by block decoding schedule in most partial-parallel layered architectures, all the messages within each layer are updated simultaneously in the proposed fully-parallel layered decoder architecture. Meanwhile, the message updating is separated into bit-serial style to reduce hardware complexity. A 6-bit implementation is adopted in the decoder chip, since simulations demonstrate that 6-bit quantization is the best trade-off between performance and complexity. Moreover, the two-layer concurrent processing technique is proposed to further increase the parallelism for low code rates. Implementation results show that the decoder chip saves 22.2% storage bits and only takes 2448 clock cycles per iteration for all the code rates defined in WiMAX standard. It occupies 3.36mm2 in SMIC 65 nm CMOS process, and realizes 1056 Mbps throughput at 1.2V, 110MHz and 10 iterations with 115mW power occupation, which infers a power efficiency of 10.9 pJ/bit/iteration. The power efficiency is improved 63.6% in normalized comparison with the state-of-art WiMAX LDPC decoder.

    本文言語English
    ページ(範囲)2384-2391
    ページ数8
    ジャーナルIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    E95-A
    12
    DOI
    出版ステータスPublished - 2012 12月

    ASJC Scopus subject areas

    • 電子工学および電気工学
    • コンピュータ グラフィックスおよびコンピュータ支援設計
    • 応用数学
    • 信号処理

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