2024
DOI: 10.1364/jocn.501624
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QoT-aware tree selection, routing, modulation, and spectrum assignment for filterless EONs over the C + L-band

Mohammad Sadegh Ghasrizadeh,
Farhad Arpanaei,
Hamzeh Beyranvand

Abstract: Filterless optical networks (FONs) as an economical solution use passive couplers/splitters rather than expensive active filter devices. In this way, after intermediate and destination nodes, lightpaths are dropped and continued, which generates leakage signals in other links and wastes spectrum. Thus, designing efficient resource allocation in FONs by considering the leakage signals and their interfering effects is of utmost importance. On the other hand, a gradual transition from wavelength division multiple… Show more

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Cited by 3 publications
(2 citation statements)
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“…Exploring the impact of ISRS on QoT estimation is a crucial research issue in C+L-EONs. Several studies focused on the QoT estimation under the influence of NLI jointly with the ISRS, and they demonstrated the significant role played by transmission power and ISRS in multi-band (MB) systems [11][12][13]. D' Amico et al [14] comprehensively consider the ISRS, self-phase modulation (SPM), cross-phase modulation (XPM), and amplified spontaneous emission (ASE) noise in the QoT estimation process and establish the optical signal-to-noise ratio (OSNR) measurement model.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Exploring the impact of ISRS on QoT estimation is a crucial research issue in C+L-EONs. Several studies focused on the QoT estimation under the influence of NLI jointly with the ISRS, and they demonstrated the significant role played by transmission power and ISRS in multi-band (MB) systems [11][12][13]. D' Amico et al [14] comprehensively consider the ISRS, self-phase modulation (SPM), cross-phase modulation (XPM), and amplified spontaneous emission (ASE) noise in the QoT estimation process and establish the optical signal-to-noise ratio (OSNR) measurement model.…”
Section: Related Workmentioning
confidence: 99%
“…Sci. 2024, 14, x FOR PEER REVIEW 13 of 1713.2% compared to the LC(L)-DP(C)-EFM algorithm under 3800 Erlang. The superior performance of the proposed algorithm can be attributed to several key factors.…”
mentioning
confidence: 99%