Multi-band programmable gain Raman amplifier

Abstract

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⋅10−2 dB/THz over an ultra-wide bandwidth of 17.6-THz (140.7-nm)

Publication DOI: https://doi.org/10.1109/JLT.2020.3033768
Divisions: Engineering & Applied Sciences > Aston Institute of Photonics Technology
Engineering & Applied Sciences
Engineering & Applied Sciences > Electrical, Electronic & Power Engineering
Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Funding: This work was supported by the European Union’s H2020 program (Marie Skłodowska-Curie grant 754462 and MSCA-ITN WON grant 814276), the European Research Council (ERC CoG FRECOM grant 771878), the Villum Foundations (VYI OPTIC-AI grant no. 29344), and the UK EPSRC grants EP/M009092/1 and EP/R035342/1.
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Related URLs: https://ieeexpl ... cument/9239870/ (Publisher URL)
PURE Output Type: Article
Published Date: 2020-10-26
Published Online Date: 2020-10-26
Accepted Date: 2020-10-01
Authors: De Moura, Uiara Celine
Iqbal, Md Asif
Kamalian-kopae, Morteza ( 0000-0002-6278-976X)
Krzczanowicz, Lukasz ( 0000-0002-8705-9261)
Da Ros, Francesco
Rosa Brusin, Ann Margareth
Carena, Andrea
Forysiak, Wladek ( 0000-0001-5411-1193)
Turitsyn, Sergei K. ( 0000-0003-0101-3834)
Zibar, Darko

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