All-optical data regeneration based on self-phase modulation effect

Mamyshev, P. V.

doi:10.1109/ecoc.1998.732666

Cited by 389 publications

(237 citation statements)

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“…By shifting this filter off centre to select the red shifted or blue-shifted spectral components of the probe signal, the limitations typically governed by the slow gain recovery time of the SOA can be overcome, taking advantage of the short time scale on which the chirp occurs [22]. If the filter is placed further to longer or shorter wavelengths so as to suppress the spectral component of the probe at  2 , the phase modulation of the probe signal can be converted into intensity modulation and thus the polarity of the input signal can be preserved [15,17]. This can be explained in further detail: When a low energy pulse ('0') enters the SOA, there is no saturation of its gain and thus there is no corresponding wavelength shift of the probe spectral components.…”

Section: Principle Of the Wavelength Convertermentioning

confidence: 99%

“…However the output data polarity is still inverted and the extinction ratio is insufficient. Cho et al [14] presented a similar scheme but the proposed setup preserves the polarity of the input data by spectrally shifting the filter further from the continuous wave probe signal, thus primarily exploiting XPM in the SOA, in the same way as using phase modulation in a fibre associated with a shifted filter [15,16]. This kind of device gives an enhanced extinction ratio and has enabled operation at high bit rates [17].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of bit rate dependence up to 80Gbit/s of a simple wavelength converter based on XPM in a SOA and a shifted filtering

Girault

Clarke

Reid

et al. 2008

Optics Communications

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This paper provides the analysis of wavelength converted pulses obtained with a simple semiconductor optical amplifier (SOA)-based wavelength conversion scheme, which exploits cross phase modulation (XPM) in an SOA in conjunction with shifted filtering. The analysis includes experimental measurements of the back-to-back system performances as well as frequency-resolved optical gating (FROG) characterisations of the wavelength converted pulses. These measurements are implemented at different bit rates up to 80 Gbit/s and for both red and blue shifted filtering, particularly showing different patterning effect dependences of red and blue shifting techniques. This analysis is developed by the addition of a numerical study which corroborates the experimental results. A further understanding of the different performances of red and blue filtering techniques, presented in the literature, can thus be proposed.The placement of the filter to undertake red shifted filtering (RSF) allows us to achieve very short pulse widths but high bit rate operation is limited by pattern effects. The blue shifted filtering (BSF) technique shows optimum performance as regards to patterning effects even if the wavelength converted pulses can be larger . 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 thus be proposed. The placement of the filter to undertake red shifted filtering (RSF) allows us to achieve very short pulse widths but high bit rate operation is limited by pattern effects.

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Section: Principle Of the Wavelength Convertermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of bit rate dependence up to 80Gbit/s of a simple wavelength converter based on XPM in a SOA and a shifted filtering

Girault

Clarke

Reid

et al. 2008

Optics Communications

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“…The schematic shown in figure 1 is an example of a Mamyshev regenerator based on SPM, which was published in 1998 [10] and has served as a reference for new 2R and 3R regenerator designs to the present day.…”

Section: Theoretical Basis and Operating Principle Of Proposed 2rmentioning

confidence: 99%

All-Optical 2R Regenerator Non-Linear Optic Based on the Mamyshev Model

Sousa¹,

Sabino²,

Luz³

et al. 2017

IJIRCCE

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This paper aims to present a fiber optic telecommunications network design capable of suppressing noise and improving the quality of the transmitted signal through the self-phase modulation effect in a highly nonlinear fiber (HNLF), thus allowing the regeneration 2R (Reamplification and Reshaping) in a totally optical way. For a distance of up to 300 km of SMF, the values of factor Q = 6, BER = 10 -9 and OSNR = 13.5 dB were found. The project was developed and simulated in Optisystem software. The results confirm that the proposed 2R regenerator was efficient.

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“…Although there are a selection of optical regeneration schemes, one particularly interesting version, proposed by Mamyshev et al (1998) is based on the principle of self-phase-modulation-induced spectral broadening followed by offset filtering, which will henceforth be referred to as a SBF regenerator. Figure 2.37 shows a single SBF cell which consists of a high-power optical amplifier (EDFA), a HNLF and an OBPF.…”

Section: All-optical Regeneration/buffermentioning

confidence: 99%

Signal Processing, Management and Monitoring in Transmission Networks

Vázquez

Montalvo

Ahmed

et al. 2011

Optical Transmission

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1higher, linear and non-linear fibre impairments become prominent factors affecting the signal quality. Thus, new techniques in both physical layer and network layer are necessary for mitigating impairments to accommodate high-speed traffic (Tomkos et al. 2002). On the other hand, the flexibility of modern networks with dynamic and distributed management, where lightpaths can be dynamically and automatically assigned end-to-end, increases the risk of changing path conditions that affect signal quality and consequently quality of service (QoS) over the lifetime of a connection as well as for subsequent connection set-up requests (on-demand routing and wavelength assignment -RWA). For traditional connection provisioning an ideal physical layer, ignoring transmission impairments (Chlamtac et al. 1992) could be assumed because the implicit per hop regeneration (optics-to-electronics-to-optics conversion -O/E/O) compensated signal impairments hop-by-hop in a rather static manner (section commissioning). For end-to-end all-optically switched connections using photonic cross-connect switches (PXC), the conditions change and common practice is not applicable. Anyhow, intelligent connection provisioning is an important traffic engineering problem, and minimising operational cost as well as efficiently utilising network resources is the main driver. In this context, it seems important to have flexible routing protocols that take into consideration the most relevant physical impairments, and are able to exchange messages with their values as part of the route information with others. This condition, if definitely used to calculate routing, will surely assure better success in data delivery over the network (Huang et al. 2005). Irrespective of the control architecture chosen by an operator of an optical network, the included control plane (in charge of setting up and tearing down optical circuits; also known as lightpaths) needs to have a proper set of tools to satisfyingly deal with physical impairments. The most essential tools are: optical signal monitoring, signal processing and impairment compensation techniques (each all-optically and/or electrically). With the help of these tools, it is possible to predict the QoT (quality of transmission) attainable for a lightpath at a given time (i.e. the latest network-wide monitoring instant), and the control plane can route requests across the network

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All-optical data regeneration based on self-phase modulation effect

Cited by 389 publications

References 0 publications

Analysis of bit rate dependence up to 80Gbit/s of a simple wavelength converter based on XPM in a SOA and a shifted filtering

Analysis of bit rate dependence up to 80Gbit/s of a simple wavelength converter based on XPM in a SOA and a shifted filtering

All-Optical 2R Regenerator Non-Linear Optic Based on the Mamyshev Model

Signal Processing, Management and Monitoring in Transmission Networks

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