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A Multiple-Radix MAP-Decoder Microarchitecture and Its ASIC Implementation for Energy-Efficient and Variable-Throughput Applications

机译:多基数MAP-解码器微架构及其用于节能和可变吞吐量应用的ASIC实现

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This article proposes reconfigurable maximum a posteriori (MAP) decoding algorithm which operates in multiple radix modes to hard decode the information bits with variable throughput by consuming constant power. Subsequently, a new digital decoder-architecture for this MAP decoding algorithm has been designed that operates in radix-2/4/8 modes. Furthermore, reconfigurable microarchitectures of state-metric and logarithmic-likelihood-ratio (LLR) computation units are presented in this article. Performance analyses of the proposed algorithm have been performed in additive-white Gaussian-noise (AWGN) channel environment where it achieved a bit-error-rate (BER) of 10 −4 at a signal-to-noise ratio (SNR) of 5 dB. Suggested multiple-radix MAP-decoder is fabricated in united-microelectronics-corporation (UMC) 130-nm-CMOS technology node and it occupies die and core areas of 2.35 and 1.28 mm 2 , respectively, operating at a maximum clock frequency of 204 MHz. This MAP decoder ASIC-chip delivers throughputs of 201, 403, and 605 Mb/s while operating in radix-2, 4 and 8 modes, respectively, consuming a total power of 92 mW. Our chip achieves 0.15 nJ/bit of energy efficiency, which is 30% better than the most energy-efficient implementation from literature. Likewise, it delivers 39% higher throughput and $70imes $ better area-efficiency than the state-of-the-art work.
机译:本文提出了可重新配置的最大值<斜斜体XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> bediori (MAP)解码算法以多个基数模式操作以通过消耗恒定功率来硬度地解码具有可变吞吐量的信息位。随后,设计了用于该地图解码算法的新型数字解码器架构,其在基数-2 / 4/8模式下操作。此外,本文提出了状态度量和对数似然比(LLR)计算单元的可重新配置的微架构。所提出的算法的性能分析已经在附加白色高斯噪声(AWGN)信道环境中执行,其中它达到了10 -4 以5 dB的信噪比(SNR)。建议的多基线地图解码器在联合微电子 - 公司(UMC)130-NM-CMOS技术节点中制造,它占用2.35和1.28 mm 2 ,以最大时钟频率为204 MHz。该地图解码器ASIC芯片分别在Radix-2,4和8模式下运行的同时提供201,403和605 MB / s的吞吐量,以消耗92 MW的总功率。我们的芯片实现了0.15个NJ /位的能效,比文献中最节能的实施效果好30%。同样,它提供39%的吞吐量和<内联公式XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999 / xlink“> $ 70 times $ 更好的区域 - 效率比最先进的工作。

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