Signal equalization and coding techniques in ultra-high-speed short-reach optical interconnect

QIN Hao; YANG Chuanchuan; LAN Tianxiang; QIN Xin; ZHAO Yuping; CHEN Zhangyuan

doi:10.11959/j.issn.1000-0801.2025103

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Signal equalization and coding techniques in ultra-high-speed short-reach optical interconnect

Topic: Optical Interconnection for Intelligent Computing | 更新时间：2025-10-31

- Signal equalization and coding techniques in ultra-high-speed short-reach optical interconnect
- Telecommunications Science Vol. 41, Issue 4, Pages: 20-31(2025)
- 作者机构：
  
  1.北京大学光子传输与通信全国重点实验室，北京 100871
  2.中国电信股份有限公司研究院光纤光缆先进制造与应用技术全国重点实验室，北京 100032
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2023YFB2905501)
- DOI：10.11959/j.issn.1000-0801.2025103
  CLC： TP393
- Received：18 February 2025，
  
  Revised：2025-04-02，
  
  Published：20 April 2025
- 稿件说明：
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秦昊,杨川川,蓝天祥等.超高速短距离光互连信号均衡及编码技术[J].电信科学,2025,41(04):20-31.

QIN Hao,YANG Chuanchuan,LAN Tianxiang,et al.Signal equalization and coding techniques in ultra-high-speed short-reach optical interconnect[J].Telecommunications Science,2025,41(04):20-31.
秦昊,杨川川,蓝天祥等.超高速短距离光互连信号均衡及编码技术[J].电信科学,2025,41(04):20-31. DOI： 10.11959/j.issn.1000-0801.2025103.

QIN Hao,YANG Chuanchuan,LAN Tianxiang,et al.Signal equalization and coding techniques in ultra-high-speed short-reach optical interconnect[J].Telecommunications Science,2025,41(04):20-31. DOI： 10.11959/j.issn.1000-0801.2025103.

摘要

在人工智能（artificial intelligence，AI）大模型蓬勃发展的背景下，数据中心光模块速率需求持续攀升。为满足超高速短距离光互连高速率、低能耗、低时延、高集成度的要求，介绍了光模块产业发展趋势，并着重探讨相关均衡和编码技术。在均衡技术方面，介绍了基于最小角回归策略的低复杂度沃特均衡方法LaNLE和基于隐藏特征提取（hidden feature extraction，HFE）的深度神经网络均衡方法。LaNLE在120 Gbit/s PAM-8信号100 m传输下，相同误码率时，复杂度相比传统方法降低了70.1%；HFE可提升神经网络训练效率，实现了288 Gbit/s PAM-8信号传输。在编码技术方面，介绍了光互连系统中QC-LDPC码优化方法和基于深度学习的LDPC联合均衡译码方法，经实验验证，所提方法能有效优化误码率，提升系统性能。同时，对未来研究方向进行了展望。

Abstract

Against the backdrop of the vigorous development of artificial intelligence (AI) large models

the demand for the data center optical module rate continues to rise. To meet the requirements of high rate

low power consumption

low latency

and high integration for ultra-high-speed short-reach optical interconnect

the development trend of the optical module industry was introduced

and relevant equalization and coding technologies were discussed. In terms of equalization technology

a low-complexity Volterra equalization method based on the least angle regression strategy (LaNLE) and a deep neural network equalization method based on hidden feature extraction (HFE) were proposed. Under the 120 Gbit/s PAM-8 signal transmission

the complexity of LaNLE was reduced by 70.1% compared with traditional methods at the same bit error rate; HFE improved the neural network training efficiency and achieved 288 Gbit/s PAM-8 signal transmission. In terms of coding technology

the optimization method of QC-LDPC codes in the optical interconnection system and the LDPC joint equalization and decoding method based on deep learning were introduced. Experimental results show that the proposed methods can effectively optimize the bit error rate and improve the system performance. At the same time

the future research directions were prospected.

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Keywords

references

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