End-to-End Learning of Transmitter and Receiver Filters in Bandwidth Limited Fiber Optic Communication Systems

Søren Føns Nielsen, Francesco Da Ros, Mikkel N. Schmidt, Darko Zibar
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Abstract

This paper investigates the application of end-to-end (E2E) learning for joint optimization of pulse-shaper and receiver filter to reduce intersymbol interference (ISI) in bandwidth-limited communication systems. We investigate this in two numerical simulation models: 1) an additive white Gaussian noise (AWGN) channel with bandwidth limitation and 2) an intensity modulated direct detection (IM/DD) link employing an electro-absorption modulator. For both simulation models, we implement a wavelength division multiplexing (WDM) scheme to ensure that the learned filters adhere to the bandwidth constraints of the WDM channels. Our findings reveal that E2E learning greatly surpasses traditional single-sided transmitter pulse-shaper or receiver filter optimization methods, achieving significant performance gains in terms of symbol error rate with shorter filter lengths. These results suggest that E2E learning can decrease the complexity and enhance the performance of future high-speed optical communication systems.
带宽受限光纤通信系统中发射器和接收器滤波器的端到端学习
本文研究了端到端(E2E)学习在脉冲整形器和接收器滤波器联合优化中的应用,以减少带宽受限的通信系统中的符号间干扰(ISI)。我们在两个数值模拟模型中研究了这一问题:1) 带宽受限的加性白高斯噪声(AWGN)信道;2) 采用电吸收调制器的强度调制直接检测(IM/DD)链路。对于这两种仿真模型,我们都采用了波分复用(WDM)方案,以确保学习到的滤波器符合波分复用信道的带宽限制。我们的研究结果表明,E2E 学习大大超越了传统的单边发射机脉冲整形器或接收机滤波器优化方法,在更短的滤波器长度下实现了显著的符号错误率性能提升。这些结果表明,E2E 学习可以降低未来高速光通信系统的复杂性并提高其性能。
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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