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基于非线性傅里叶变换的光传输容量估计。

Capacity estimates for optical transmission based on the nonlinear Fourier transform.

机构信息

Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel.

Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK.

出版信息

Nat Commun. 2016 Sep 9;7:12710. doi: 10.1038/ncomms12710.

Abstract

What is the maximum rate at which information can be transmitted error-free in fibre-optic communication systems? For linear channels, this was established in classic works of Nyquist and Shannon. However, despite the immense practical importance of fibre-optic communications providing for >99% of global data traffic, the channel capacity of optical links remains unknown due to the complexity introduced by fibre nonlinearity. Recently, there has been a flurry of studies examining an expected cap that nonlinearity puts on the information-carrying capacity of fibre-optic systems. Mastering the nonlinear channels requires paradigm shift from current modulation, coding and transmission techniques originally developed for linear communication systems. Here we demonstrate that using the integrability of the master model and the nonlinear Fourier transform, the lower bound on the capacity per symbol can be estimated as 10.7 bits per symbol with 500 GHz bandwidth over 2,000 km.

摘要

光纤通信系统中信息能够无差错传输的最大速率是多少?对于线性信道,这在 Nyquist 和 Shannon 的经典著作中已经确立。然而,尽管光纤通信在提供全球超过 99%的数据流量方面具有巨大的实际重要性,但由于光纤非线性所带来的复杂性,光链路的信道容量仍然未知。最近,人们对非线性预期上限对光纤系统信息承载能力的影响进行了大量研究。要掌握非线性信道,就需要从最初为线性通信系统开发的调制、编码和传输技术转变思维模式。在这里,我们证明了利用主模型的可积性和非线性傅里叶变换,可以将每个符号的容量下限估计为 10.7 比特/符号,在 2000 公里的距离上使用 500GHz 的带宽。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3e0/5023964/cdc2e33b8411/ncomms12710-f1.jpg

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