期刊
IEEE COMMUNICATIONS LETTERS
卷 25, 期 3, 页码 931-935出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2020.3034736
关键词
Genetic algorithms; Optical filters; Optical noise; Signal to noise ratio; Optical fiber networks; Sociology; Statistics; Filterless optical networks; optical amplifiers; cross-layer design
This study investigates how to minimize amplifier cost in Filterless Optical Networks (FONs) using a Genetic Algorithm (GA), achieving significant savings up to 60% compared to baseline approaches.
Filterless Optical Networks (FONs) represent a novel cost-effective solution for metro optical networks, that allows to achieve equipment-cost savings by removing expensive optical-switching components from network nodes. In this study, we investigate how to further reduce equipment cost in FONs by minimizing amplifiers' cost. We propose a Genetic Algorithm (GA) for placing boosters, inline amplifiers and pre-amplifiers in FONs with the objective of minimizing amplifiers cost. We provide two versions of the GA and compare their performance against a baseline amplifier placement in terms of amplifiers cost and quality-of-transmission (QoT), i.e., lightpaths OSNR and received power. Moreover, we provide a comparison between filterless and wavelength-switched architectures. Simulative results achieved over realistic network topologies show significant amplifier cost savings, up to 60% compared to baseline approaches.
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