Artificial Intelligence Techniques Evaluation for Modulation Format Identification in Optical Networks
| Autor: | Tiago Sutili, José Hélio da Cruz Júnior, Andre L. N. Souza, Rafael C. Figueiredo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Optical amplifier
Computer science Optical link digital signal processing Signal TK1-9971 Modulation Differential group delay Phase noise Electronic engineering elastic optical networks modulation format blind identification Electrical engineering. Electronics. Nuclear engineering Electrical and Electronic Engineering Quadrature amplitude modulation Phase-shift keying |
| Zdroj: | Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Volume: 20, Issue: 4, Pages: 689-701, Published: 15 NOV 2021 Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 20, Iss 4, Pp 689-701 (2021) Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.20 n.4 2021 Journal of Microwaves. Optoelectronics and Electromagnetic Applications Sociedade Brasileira de Microondas e Optoeletrônica (SBMO) instacron:SBMO |
| Popis: | In an elastic network paradigm, where the transceiver is able to control several characteristics of the transmitted signal according to the optical link quality and capacity demand, receivers able to automatically detect the modulation format are fundamental to recover the transmitted signal without the necessity of headers that reduce system capacity. This work presents a simulated performance comparison of six methods for blind identification of modulation format in high-capacity optical systems: k-nearest neighbors (KNN), k-means, fuzzy c-means, deep neural networks, support-vector machine (SVM) and peak-to-average power ratio (PAPR). The transmitted channels were 64-GBd modulated with the following modulation formats available at the transceiver: QPSK, 16QAM, 64QAM, and 256QAM. The optical link was emulated considering several impairments, as amplified spontaneous emission from optical amplifiers, frequency and phase noise from lasers, and polarization rotation and differential group delay from the propagation. The support-vector machine algorithm presented the most robust results. |
| Databáze: | OpenAIRE |
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