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Capacity Limits Of Optical Fiber Networks

R. Essiambre, G. Kramer, P. Winzer, G. Foschini, B. Goebel
Published 2010 · Mathematics

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We describe a method to estimate the capacity limit of fiber-optic communication systems (or ¿fiber channels¿) based on information theory. This paper is divided into two parts. Part 1 reviews fundamental concepts of digital communications and information theory. We treat digitization and modulation followed by information theory for channels both without and with memory. We provide explicit relationships between the commonly used signal-to-noise ratio and the optical signal-to-noise ratio. We further evaluate the performance of modulation constellations such as quadrature-amplitude modulation, combinations of amplitude-shift keying and phase-shift keying, exotic constellations, and concentric rings for an additive white Gaussian noise channel using coherent detection. Part 2 is devoted specifically to the "fiber channel.'' We review the physical phenomena present in transmission over optical fiber networks, including sources of noise, the need for optical filtering in optically-routed networks, and, most critically, the presence of fiber Kerr nonlinearity. We describe various transmission scenarios and impairment mitigation techniques, and define a fiber channel deemed to be the most relevant for communication over optically-routed networks. We proceed to evaluate a capacity limit estimate for this fiber channel using ring constellations. Several scenarios are considered, including uniform and optimized ring constellations, different fiber dispersion maps, and varying transmission distances. We further present evidences that point to the physical origin of the fiber capacity limitations and provide a comparison of recent record experiments with our capacity limit estimation.
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Deep learning-based nonlinear phase shift estimation in coherent optical communication systems
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Constellation Shaping in Optical Communication Systems
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Structure for fast photonic medium on application of SDM communication using SiO 2 doped with GeO 2 , and F Materials
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Space division multiplexing of communication channels in a multimode fiber using holographic correlator method
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Numerical Study of Photonic Crystal Fiber Supporting 180 Orbital Angular Momentum Modes With High Mode Quality and Flat Dispersion
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Coupled Transceiver-Fiber Nonlinearity Compensation Based on Machine Learning for Probabilistic Shaping System
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Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis
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Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems
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High-Order Mode Mode-Locked Fiber Laser Based on Few-Mode Saturable Absorber
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