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Statistical BER Analysis of Wireline Links With Non-Binary Linear Block Codes Subject to DFE Error Propagation

机译:具有非二进制线性块代码的有线链路的统计BER分析,但DFE误差传播

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This paper presents a statistical model to accurately estimate post-FEC BER for high-speed wireline links using standard linear block codes, such as the RS(544,514,15) KP4 and RS(528,514,7) KR4 codes. A hierarchical approach is adopted to analyze the propagation of PAM-symbol and FEC-symbol errors through a two-layer Markov model. A series of techniques including state aggregation, time aggregation, state reduction, and dynamic programming are introduced making the time complexity to compute post-FEC BER below 10(-15) reasonable. Error bounds associated with each method are found. The efficiency of the proposed model allows it to handle a larger state space, more DFE taps, and more sophisticated linear block codes than prior work. A 4-PAM 60 Gb/s wireline transceiver fabricated in a 7 nm FinFET technology is used as a test vehicle to validate this model. Measured data with two different channels reveals that the statistical model can properly predict the post-FEC error floor with standard FEC codes. While this paper demonstrates the method for capturing DFE error propagation, the method is general and can be applied to model other communication systems having memory effects. Moreover, our proposed model can be easily extended to higher-level PAM schemes and other advanced equalizer architectures to assist in making architectural choices for wireline transceivers.
机译:本文介绍了使用标准线性块代码准确估计FEC BER的统计模型,例如RS(544,514,15)KP4和RS(528,514,7)KR4代码。采用分层方法来分析PAM符号和FEC符号错误的传播通过双层马尔可夫模型。引入了一系列技术,包括状态聚合,时间聚合,状态减小和动态编程,使得计算后FEC BER的时间复杂度低于10(-15)。找到与每个方法关联的错误绑定。所提出的模型的效率允许其处理更大的状态空间,更多的DFE抽头和更复杂的线性块代码而不是事先工作。在7 nm FinFET技术中制造的4-PAM 60 GB / S电缆收发器用作测试车辆以验证该模型。具有两种不同通道的测量数据揭示了统计模型可以用标准的FEC代码正确预测后FEC错误底板。虽然本文演示了用于捕获DFE误差传播的方法,但该方法是通用的,并且可以应用于模拟具有存储器效果的其他通信系统。此外,我们提出的模型可以轻松扩展到更高级别的PAM方案和其他高级均衡器架构,以帮助为有线收发器进行建筑选择。

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