Ahead of Print article · Preprint article · Journal article
Multi-band programmable gain Raman amplifier
Department of Photonics Engineering, Technical University of Denmark1
Machine Learning in Photonic Systems, Department of Photonics Engineering, Technical University of Denmark2
Aston University3
Ultra-fast Optical Communication, Department of Photonics Engineering, Technical University of Denmark4
Polytechnic University of Turin5
Optical communication systems, operating in C-band, are reaching their theoretically achievable capacity limits. An attractive and economically viable solution to satisfy the future data rate demands is to employ the transmission across the full low-loss spectrum encompassing O, E, S, C and L band of the single mode fibers (SMF).
Utilizing all five bands offers a bandwidth of up to ~53.5 THz (365 nm) with loss below 0.4 dB/km. A key component in realizing multi-band optical communication systems is the optical amplifier. Apart from having an ultra-wide gain profile, the ability of providing arbitrary gain profiles, in a controlled way, will become an essential feature.
The latter will allow for signal power spectrum shaping which has a broad range of applications such as the maximization of the achievable information rate × distance product, the elimination of static and lossy gain flattening filters (GFF) enabling a power efficient system design, and the gain equalization of optical frequency combs.
In this paper, we experimentally demonstrate a multi-band (S+C+L) programmable gain optical amplifier using only Raman effects and machine learning. The amplifier achieves >1000 programmable gain profiles within the range from 3.5 to 30 dB, in an ultra-fast way and a very low maximum error of ${1.6\cdot10^{-2}}$ dB/THz over an ultra-wide bandwidth of 17.6-THz (140.7-nm)
Language: | English |
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Publisher: | IEEE |
Year: | 2020 |
Pages: | 429-438 |
ISSN: | 07338724 and 15582213 |
Types: | Ahead of Print article , Preprint article and Journal article |
DOI: | 10.1109/JLT.2020.3033768 |
ORCIDs: | Moura, Uiara Celine de , 0000-0001-7267-5865 , 0000-0002-8705-9261 , Da Ros, Francesco , 0000-0002-3711-9350 , 0000-0001-6848-3326 , 0000-0001-5411-1193 , 0000-0003-0101-3834 and Zibar, Darko |