“…The second stage is the same as the one used for the C+L-band RA. Note that distributing the pumps into two sequential stages reduces the strong depletion of shorter wavelength pumps [36]. The multiband input optical signal (17.6 THz/140.7 nm) is generated by combining the optical signal from the C+L-band with a supercontinuum S-band source [37] and a single frequency laser operating at 185 THz.…”
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 multiband (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 ultrawide bandwidth of 17.6-THz (140.7-nm). Index Terms-optical communications, multi-band systems, optical amplifiers, machine learning, neural networks. I. INTRODUCTION O VER the past two decades, a great evolution of optical communication systems, in terms of spectral efficiency×distance product, has been enabled by the advances in digital coherent detection. So far, most of the efforts, on reaching the capacity of the nonlinear fiber-optic channel, have been focusing on the C-band
“…The second stage is the same as the one used for the C+L-band RA. Note that distributing the pumps into two sequential stages reduces the strong depletion of shorter wavelength pumps [36]. The multiband input optical signal (17.6 THz/140.7 nm) is generated by combining the optical signal from the C+L-band with a supercontinuum S-band source [37] and a single frequency laser operating at 185 THz.…”
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 multiband (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 ultrawide bandwidth of 17.6-THz (140.7-nm). Index Terms-optical communications, multi-band systems, optical amplifiers, machine learning, neural networks. I. INTRODUCTION O VER the past two decades, a great evolution of optical communication systems, in terms of spectral efficiency×distance product, has been enabled by the advances in digital coherent detection. So far, most of the efforts, on reaching the capacity of the nonlinear fiber-optic channel, have been focusing on the C-band
“…However they cause an overall nonlinear SNR penalty due to high power at the beginning of the fiber span [43] and an increased relative intensity noise (RIN) transfer between pumps and signals [45]. Additional considerations need to be taken to understand other potential limiting factors due to pump-pump and pump-signal interactions [47]. One of the most potentially detrimental ones is represented by pump-pump and pump-signal four-wave mixing (FWM) [48], [49].…”
C+L open line systems represent a cost-effective way to scale backbone network capacity. In this article, we review challenges and opportunities for C+L line systems stemming from Google's experience in designing, deploying, and operating a global C+L open optical network. We discuss business, operational, and technical aspects of C+L systems, and describe best practices for designing C+L links. Finally, we compare C and C+L systems, showing how the latter not only conceal capacity penalties but can even increase, depending on the deployed fiber types, the total system capacity with respect to two parallel C-band only systems.
“…However, due to pump to pump Raman interactions, the long wavelength pumps are amplified by the short wavelength ones [6,10]. This leads to much higher power demands on short wavelength pumps [7,8]. During propagation through the Raman fiber in counter directionally pumped fiber Raman amplifier (FRA), long wavelength signals encounter Raman gain much earlier than the short wavelength counterparts.…”
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