2015
DOI: 10.1007/s11107-015-0488-0
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Routing, modulation, spectrum and launch power assignment to maximize the traffic throughput of a nonlinear optical mesh network

Abstract: We investigate the optimization of routing, modulation format adaptation, spectral and launch power assignment as a means of improving the utilization of limited network resources and increasing the network throughput. We consider a transparent optical network operating in the nonlinear transmission regime and using the latest software adapted coherent optical techniques. We separate the problem into one of routing, modulation adaption and channel assignment, followed by channel spectral assignment, and launch… Show more

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Cited by 62 publications
(40 citation statements)
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“…Optimal network capacity was found using the MILP described in [3]. This models a transparent, fixed-grid network and assigns modulation formats according to signal-to-noise ratio, SNR, estimates for the worst-case, central WDM channel.…”
Section: Methodsmentioning
confidence: 99%
“…Optimal network capacity was found using the MILP described in [3]. This models a transparent, fixed-grid network and assigns modulation formats according to signal-to-noise ratio, SNR, estimates for the worst-case, central WDM channel.…”
Section: Methodsmentioning
confidence: 99%
“…We consider three topologies for the numerical comparison, a simple 6-node network in Figure 3 and the German and NSF networks [18]. The fiber power attenuation α = 0.22 dB•km −1 , the nonlinear parameter γ = 1.3 W −1 • km −1 , the group velocity dispersion β 2 = −21.3 ps 2 • km −1 , the spontaneous emission factor n sp = 1.58 (i.e., the noise figure is 5 dB), the light frequency ν = 193.55 THz and the length of each fiber span L is 100 km.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…The highbit-rate requests correspond to Nyquist-WDM superchannels formed by multiple subcarriers without guardbands between each other to enable a higher spectral efficiency [20]. The uniform random traffic profile is a widely used assumption [17], [18], [32], [33] to facilitate the numerical evaluation. For each topology, 300 random traffic matrices are used in the simulation.…”
Section: Numerical Resultsmentioning
confidence: 99%
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