Machine Learning Applied to Optical Communication Systems

This reprint explores how machine learning is revolutionizing optical communication systems, featuring topics ranging from long-haul coherent links and short-reach IM/DD systems to PONs, VLC, and chaos-based secure communication. Covering neural network equalization, optical signal processing, and s...

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Detalles Bibliográficos
Formato:	Online
Idioma:	inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2025
Subjects:	optical fiber communication self-coherent detection machine learning short-reach transmission AMCC WDM-PON GMM interference model probabilistic shaping quantum-dot (QD) spin-vertical-cavity surface-emitting laser photonic reservoir computing chaotic synchronization coherent optical chaos secure communication silicon photonics (SiPh) silicon-on-insulator (SOI) pulse amplitude modulation (PAM) silicon microring modulator (SiMRM) optical neural network (ONN) optical communications passive optical network equalization optical performance monitoring modulation format identification bit-error ratio optical signal-to-noise ratio nonlinearities visible light communication (VLC) autoencoder (AE) photodetector (PD) color-shift keying (CSK) optical wireless communication (OWC) intensity-modulated direct-detection neural network training computational complexity optical wireless communications vertical-cavity surface-emitting lasers multilevel pulse amplitude modulation digital equalisation multilayer perceptron CNN VLC VLP OCC indoor positioning attention mechanism TI smart resilience NG-EPON AI SDN SEBA VOLTHA RFoG system performance VCSEL-based optical interconnects end-to-end learning wavelength division multiplexing variational auto encoder knowledge distillation multi-fiber optical networks artificial neural networks network capacity and cost fiber assignment nonlinear Schrödinger equation regular perturbation model fiber nonlinearity learnable parameters single-span dual-polarization systems n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
Acceso en liña:	ONIX_20250812T110751_9783725840960_325
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Machine Learning Applied to Optical Communication Systems

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