Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
GPT-5.1
GPT-5.1 133 tok/s
Gemini 3.0 Pro 55 tok/s Pro
Gemini 2.5 Flash 164 tok/s Pro
Kimi K2 202 tok/s Pro
Claude Sonnet 4.5 39 tok/s Pro
2000 character limit reached

The Generalized Droop Formula (1908.11205v1)

Published 27 Aug 2019 in eess.SP

Abstract: We present a theoretical model that fully supports the recently disclosed generalized droop formula (GDF) for calculating the signal-to-noise ratio (SNR) of constant-output power (COP) amplified dispersion-uncompensated coherent links operated at very low SNR. We compare the GDF to the better known Gaussian noise (GN) model. A key finding is that the end-to-end model underlying the GDF is a concatenation of per-span first-order regular perturbation (RP1) models with end-span power renormalization. This fact allows the GDF to well reproduce the SNR of highly nonlinear systems, well beyond the RP1 limit underlying the GN model. The GDF is successfully extended to the case where the bandwidth/modes of the COP amplifiers are not entirely filled by the transmitted multiplex. Finally, the GDF is extended to constant-gain (CG) amplifier chains and is shown to improve on known GN models of highly nonlinear propagation with CG amplifiers.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.