Machine Learning for 100 Gb/s/λ Passive Optical Network

Responding to the growing bandwidth demand by emerging applications, such as fixed-mobile convergence for fifth generation (5G) and beyond 5G, 100 Gb/s/ λ access network becomes the next research focus of passive optical network (PON) roadmap. Intensity modulation and direct detection (IMDD) technol...

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Veröffentlicht in:	Journal of lightwave technology 2019-03, Vol.37 (6), p.1621-1630
Hauptverfasser:	Yi, Lilin, Liao, Tao, Huang, Luyao, Xue, Lei, Li, Peixuan, Hu, Weisheng
Format:	Artikel
Sprache:	eng
Schlagworte:	5G mobile communication Artificial neural networks Bandwidth Bandwidths Digital signal processing (DSP) Equalization Equalizers Frequency response intensity modulation and direct detection (IMDD) Machine learning neural network (NN) Neural networks Nonlinearity Optical communication Optical wireless passive optical network (PON) Passive optical networks Power consumption Pseudorandom Pseudorandom sequences Training
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