optical communication
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Hamiltonian Mathematical Modeling of Nonlinear Photonic Dynamics for Advanced Optical Communication Systems
Abstract: With the rising requirement for high capacity, low latency and energy-efficient optical communication, the need for strict mathematical models of the nonlinear dynamics of photonic systems has grown. In this study, a mathematical framework based on the Hamiltonian formalism is developed for the characterization of the nonlinear dynamics in advanced optical communication systems. The proposed formulation is the result of a natural evolution of optical amplitude, phase, dispersion, nonlinear interaction …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 3, 2026 Read article
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Machine Learning Based Optical Fiber Fault Detection and Localization Using OTDR Signals
Abstract: Optical fiber networks provide high bandwidth, low transmission loss, and immunity to electromagnetic interference, making them fundamental to modern communication infrastructure. However, fiber faults caused by cable cuts, excessive bending, connector degradation, splicing defects, and physical disturbances can significantly affect network reliability. Optical time-domain reflectometry (OTDR) is widely used for identifying and locating such faults, but conventional OTDR interpretation often depends on threshold-based signal processing and manual analysis. This study …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 · pp. 41–52 Read article
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Machine Learning Based Optimization of Optical Fiber Parameters for Minimizing Dispersion and Attenuation
Abstract: Optical fibers provide high-bandwidth and low-loss transmission for modern communication networks; however, attenuation and chromatic dispersion remain two important physical limitations affecting transmission distance, pulse integrity, and system capacity. Conventional optical-fiber design generally relies on analytical calculations and repeated numerical simulations to determine suitable geometric and material parameters. Such approaches become computationally demanding when several fiber parameters are simultaneously optimized. This paper presents a machine-learning-based methodology for predicting and optimizing …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 · pp. 18–28 Read article
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Thermal-Drift-Aware Adaptive Wavelength Stabilization Model for Silicon-Photonic Optical Communication Systems
Abstract: The increasing integration density and operating speed of silicon-photonic communication devices have intensified the influence of thermo-optic effects on wavelength stability, resonance alignment, optical transmission, and communication reliability. Temperature variations modify the effective refractive index and physical dimensions of photonic structures, resulting in resonance displacement and degradation of wavelength-dependent optical performance. This paper proposes a Thermo- Optical Resonance Tracking (TORT) model for adaptive wavelength stabilization in integrated optical communication systems. …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 · pp. 11–17 Read article