Electro-Optical Reed–Muller Code Decoders Based on Integrated Optics

IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Zhenye Zhao;Fuhao Yu;Wei Jiang;Jin Sha
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引用次数: 0

Abstract

Forward error correction (FEC) techniques are widely used in various communication systems, including 4G/5G wireless communication, Internet, optical communication, etc. FEC en/decoders are normally implemented with silicon-based circuits and their power consumption and throughput are usually the crucial concerns. Photonic approaches have demonstrated extraordinary potential for some computation-hungry applications like neural networks. In this work, an on-chip electro-optical circuit is proposed to perform FEC decoding tasks with high integration potential and low power consumption characteristics. Leveraging optical computing-friendly algorithmic transformations and a meticulously crafted optical path design, an electro-optical decoder for Reed-Muller (RM) codes is presented. We show by simulation that our proposed decoders achieve a significant computational benefit in energy consumption compared to the standard Dumer’s recursive decoder without an appreciable performance penalty. This on-chip FEC decoder provides a potential solution for improving future FEC hardware with enhanced performance. It may be suitable for optical communication systems to lower the bit error rate at the front end.
基于集成光学的电光Reed-Muller码解码器
前向纠错(FEC)技术广泛应用于各种通信系统,包括4G/5G无线通信、互联网、光通信等。FEC en/解码器通常使用硅基电路实现,其功耗和吞吐量通常是关键问题。光子方法在神经网络等需要大量计算的应用中显示出了非凡的潜力。本文提出了一种具有高集成度和低功耗特点的片上电光电路来完成FEC解码任务。利用光学计算友好的算法转换和精心制作的光路设计,提出了一种用于里德-穆勒(RM)码的电光解码器。我们通过模拟表明,与标准Dumer的递归解码器相比,我们提出的解码器在能耗方面实现了显着的计算优势,而没有明显的性能损失。这种片上FEC解码器为提高未来FEC硬件的性能提供了一种潜在的解决方案。它可能适用于光通信系统,以降低前端的误码率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.50
自引率
2.20%
发文量
86
期刊介绍: The IEEE Journal on Emerging and Selected Topics in Circuits and Systems is published quarterly and solicits, with particular emphasis on emerging areas, special issues on topics that cover the entire scope of the IEEE Circuits and Systems (CAS) Society, namely the theory, analysis, design, tools, and implementation of circuits and systems, spanning their theoretical foundations, applications, and architectures for signal and information processing.
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