Photonics-aided D-band 64-QAM MMW transmission utilizing modified multi-symbol output neural network equalization

IF 2.6 3区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Qinghui Chen , Weihao You , Kexiong Liu , Shicong Wang , Li Zhao , Hong Wen
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引用次数: 0

Abstract

We propose a modified multi-symbol output (MSO) neural network (NN)-based equalization scheme. In this scheme, the multi-label realization is optimized to support high-order 64-QAM MSO, and the performance is enhanced by adding residual connections, which split linear and nonlinear equalization in one model. The proposed scheme is utilized in a 70-m D-band photonics-aided millimeter wave (MMW) transmission system. We successfully realized 12-Gbaud 64-QAM transmission with Q-factor satisfying SD-FEC.

利用改进型多符号输出神经网络均衡的光子辅助 D 波段 64-QAM MMW 传输
我们提出了一种改进的基于多符号输出(MSO)神经网络(NN)的均衡方案。在该方案中,对多标签实现进行了优化,以支持高阶 64-QAM MSO,并通过添加残差连接来增强性能,从而在一个模型中拆分线性和非线性均衡。我们在 70 米 D 波段光子辅助毫米波(MMW)传输系统中使用了所提出的方案。我们成功实现了 12-Gbaud 64-QAM 传输,Q 因子满足 SD-FEC。
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来源期刊
Optical Fiber Technology
Optical Fiber Technology 工程技术-电信学
CiteScore
4.80
自引率
11.10%
发文量
327
审稿时长
63 days
期刊介绍: Innovations in optical fiber technology are revolutionizing world communications. Newly developed fiber amplifiers allow for direct transmission of high-speed signals over transcontinental distances without the need for electronic regeneration. Optical fibers find new applications in data processing. The impact of fiber materials, devices, and systems on communications in the coming decades will create an abundance of primary literature and the need for up-to-date reviews. Optical Fiber Technology: Materials, Devices, and Systems is a new cutting-edge journal designed to fill a need in this rapidly evolving field for speedy publication of regular length papers. Both theoretical and experimental papers on fiber materials, devices, and system performance evaluation and measurements are eligible, with emphasis on practical applications.
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