Application of the power flow equation in modeling bandwidth in polymer optical fibers: a review


Drljača B. Savović S. Simović A. Kovačević M.S. Djordjevich A. Kuzmanović L. Yussupova G. Aidinis K. Min R.
April 2024Springer

Optical and Quantum Electronics
2024#56Issue 4

Multimode polymer optical fibers (POFs) are considered to be the best choice for short-distance communication lines due to their advantageous properties. One must pay close attention to POFs’ most crucial transmission property, bandwidth (BW), which affects the fibers’ transmission capacity. The improvement of POF transmission qualities, particularly BW, which is its most crucial property, has been the subject of many researches during the past few decades. Both experimental and theoretical approaches have been used to address this issue. Up to now, there were no commercial simulation tools available for studying the transmission characteristics of multimode optical fibers. To overcome this problem, the modal continuum approach is employed to characterize light transmission in various kinds of multimode optical fibers. This modal continuum approach, which uses the time-dependent power flow equation (TD PFE), plays the most important role in the theoretical approaches. The PFE is the most comprehensive because it takes into account attenuation, mode coupling and modal dispersion, which significantly affects the BW. It can also be modified to accommodate various refractive index profiles, including step-index (SI), W-type index and graded index (GI) profiles. This review analyzes the pertinent literature related to the use of modal continuum-based models for BW modeling in conventional and microstructured multimode POFs. An overview of methodologies for optical fiber analysis with a focus on modal continuum approximation, and solutions to the TD PFE for various multimode fiber types, is provided.

Bandwidth , GI optical fiber , Microstructured optical fiber , Polymer optical fibers , Power flow equation , Step-index optical fiber , W-type optical fiber

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Faculty of Sciences and Mathematics, University of Priština in Kosovska Mitrovica, L. Ribara 29, Kosovska Mitrovica, 38220, Serbia
Faculty of Science, University of Kragujevac, R. Domanovića 12, Kragujevac, 34000, Serbia
Department of Mechanical Engineering, City University of Hong Kong, Hong Kong
Satbayev University, 22 Satbaev St, Almaty, Kazakhstan
Department of Electrical Engineering, Ajman University, P.O. Box 346, Ajman, United Arab Emirates
Center of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai, 519087, China

Faculty of Sciences and Mathematics
Faculty of Science
Department of Mechanical Engineering
Satbayev University
Department of Electrical Engineering
Center of Medical and Bio-Allied Health Sciences Research
Center for Cognition and Neuroergonomics

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