Use of a genetic algorithm to optimize multistage erbium-doped fiber-amplifier systems with complex structures

Wang, Huai; Tong, Zhi; Jian, Shuisheng

doi:10.1364/opex.12.000531

Cited by 19 publications

(7 citation statements)

References 8 publications

(9 reference statements)

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“…For a more general consideration, a bidirectional pumping structure is shown here. However, to achieve a better performance such as lower noise power, and to meet diverse requirements in various systems such as wide-band amplification, some additional optimized structures for EDFA are proposed [25][26][27][28]. In most typical commercial EDFAs, a two-stage amplification is applied to improve the amplifying efficiency and reduce the NF [29].…”

Section: Principle and Characterization Of Edfamentioning

confidence: 99%

Modeling EDFA Gain: Approaches and Challenges

Liu

et al. 2021

Photonics

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With the rapid development of virtual/augmented reality and cloud services, the capacity demand for optical communication systems is ever-increasing. To further increase system capacity, current researches focus on efficient and reliable system management, in which the transmission performance should be accurately estimated. The wavelength-dependent gain effects of erbium-doped fiber amplifiers (EDFAs) have a great impact on transmission performance, and therefore a precise EDFA gain model is required. In this paper, we firstly summarize the underlying principles and structures of EDFA, and introduce the gain performance and challenges in modeling. Then, we review the EDFA gain modeling methods. We categorize these researches into analytical modeling methods and machine learning (ML)-based modeling methods, and discuss their feasibilities and performances. In addition, we discuss the remaining problems for applying the models in a system and the possible directions for future investigations.

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Section: Principle and Characterization Of Edfamentioning

confidence: 99%

Modeling EDFA Gain: Approaches and Challenges

Liu

et al. 2021

Photonics

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“…The genetic algorithm [6][7][8] is used for optimal design the PC. A flow chart of the technique is represented on Fig.…”

Section: Optimal Design Of Photonic Crystals By Genetic Algorithmmentioning

confidence: 99%

P‐163: Achieving High Directionality and Extraction of Light Emission from Polymer Light Emitting Diodes Via ITO/Organic Photonic Crystals

Liao

Chao

Chen

et al. 2009

Symp Digest of Tech Papers

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The objective of this study is to achieve high directionality and extraction of light emission from polymer light‐emitting diodes via optimizing photonic crystals (PCs). Genetic Algorithm is employed to search the optimal PC period, depth and filling factor. The large‐area PCs are fabricated by Focus Ion Beams for PLED, which is commercially viable, even applicable to active matrix PLED displays.

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“…Genetic algorithms have been applied for the optimization of both the active erbium doped fiber and the EDFA [21]. In [135] a GA optimization applied to a more difficult problem of a multistage EDFA with complex structures which employed also gain flattening filters based on LPG as we show in a previous section. It is obvious that the combination of the gain flattening issues in the design process can produce a quite complex multiobjective optimization problem.…”

Section: Optical Amplifiersmentioning

confidence: 99%