Defining amplifier’s gain to maximize the transmission rate in optical systems using evolutionary algorithms and swarm intelligence

• Published in: Photonic network communications Vol. 43; no. 1; pp. 74 - 84
• Main Authors: Lima, Felipe C. N. O., Araújo, Livisghton K. S., Silva, Ségio A., Martins-Filho, Joaquim F., Araújo, Danilo R. B., Barboza, Erick A., Oliveira, Arysson S., Bastos-Filho, Carmelo J. A.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2022; Springer Nature B.V
• Subjects: Adaptive control; Algorithms; Amplifiers; Characterization and Evaluation of Materials; Computer Communication Networks; Computer Science; Data transmission; Electrical Engineering; Evolutionary algorithms; Evolutionary computation; Maximization; Optical communication; Optimization; Original Paper; Signal to noise ratio; Swarm intelligence; Transmission rate (communications); Optical networks; Transmission rate; ACOP; Optimization
• ISSN: 1387-974X; 1572-8188
• DOI: 10.1007/s11107-022-00968-w

Optical networks are currently the only technology capable of providing extremely high data transmission rates. Because of this, systems must be increasingly efficient and immune to failures. One way to improve network efficiency is to use dynamic approaches like Adaptive Control of Operating Point, which consists of autonomously choosing the best operating point for optical amplifiers on the link, thus providing the best configuration concerning Quality of transmission. Unlike the previous works that focused on optimizing Optical Signal-To-Noise Ratio, our proposal and analysis are focused on maximizing the transmission rate. In this paper, we compare the results obtained by five different and widely used evolutionary and swarm-based algorithms in the search for maximizing the transmission rate in optical links. We have observed that the differential evolution provided the best results in the analyzed scenarios.