ArticleScientific reports2025
Modeling and analysis of the coupling effect for large-scale multi-band optical networks.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The stimulated Raman scattering (SRS) effect is non-negligible in multi-band transmission and causes signal power transfer between channels, which is the primary bottleneck in optical networks. The current literature investigates the SRS effect in the physical layer. Investigating the impact of the SRS effect in the network layer is challenging because of the high dynamics in routing, frequency, and launch power assignment. We develop a novel perspective, the coupling effect, to analyze the influence of the SRS effect in the network layer. We construct a directed weighted network called the Flow Coupling Network (FCN) to investigate the coupling effect and propose the flow coupling strength and network coupling strength. Based on the flow coupling strength, we examine the rationality of FCN and optimize the launch power of each flow. We find that the optimization through the flow coupling strength exceeds the optimization through frequency in network capacity. Based on the network coupling strength, we investigate the influence of the coupling effect and find that greater network capacity gain can be achieved through power optimization under stronger network coupling strength. Furthermore, we examined the network coupling strength in WS small-world networks, BA scale-free networks, and ER random networks. We discovered that the network coupling strength increases as the network scale increases in WS small-world networks.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.