Performance of optical amplifiers with regard to the power penalties of a DWDM XGS-PON

Abstract

Introduction:This article is the product of the research “Simulation level performance analysis of optical amplifiers for a DWDM XGS-PON network environment”, supported by the Research Group in New Technologies in Telecommunications (GNTT) of the University of Cauca during 2019.
 Problem:For the implementation of XGS-PON optical network architectures, amplification processes are required. These generate power penalties that lead to the presence of non-linear phenomena, significantly degrading network performance.
 Objective:To analyze the performance of a DWDM / XGS-PON network architecture, respecting the power penalties generated by implementing different types of optical amplifiers in different amplification modes.
 Methodology:Compilation of relevant bibliography on long-range network architectures with symmetric speeds of 10 Gbps.
 Results:Not working in the ideal region of amplification affects the performance of a DWDM XGS-PON network, generating a migration of a linear to non-linear propagation regime, due to the presence of power penalties such as FWM.
 Conclusion:With this investigation it is possible to determine which amplifier should be used according to the needs of the optical network, evaluating the different alternatives available in the market, depending on the cost, configuration and performance of the system.
 Originality:A new research is carried out for the performance of DWDM XGS-PON state-of-the-art network architectures, regarding the incidence of non-linear propagation phenomena.
 Restrictions:In some cases, the simulation tool requires a high consumption of machine resources and processing time.

Performance of routing and spectrum allocation (RSA) algorithms for a last generation centralized optical network (SDON)

“…The model of [20] and [21] is adapted to allow the development of simulations of a discrete environment and includes the following stages: i) System definition: characterize the internal and/or external interactions of the components of the simulation environment through an analysis that identifies the relationships, constraints and variables analyze the results in order to provide feedback to the environment and correct possible errors to obtain better results vii) Documentation: include a description of the processing and interpretation of the data and the environment developed, [32].…”