Advances in Deep Learning for Digital Signal Processing in Coherent Optical Modems

We analyze the advances of deep learning in optical coherent modems on the physical layer with respect to modulation design, equalization and signal detection and give an outlook on a combined control and physical layer optimization using neural networks.

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Podrobná bibliografia
Vydané v:2020 Optical Fiber Communications Conference and Exhibition (OFC) s. 1 - 3
Hlavní autori: Kuschnerov, Maxim, Schaedler, Maximilian, Bluemm, Christian, Calabro, Stefano
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: OSA 01.03.2020
Predmet:
Deep learning
Modems
Optical computing
Optical design
Optical fiber networks
Optical fibers
Optical modulation
Optical signal processing
Physical layer
Signal detection
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Popis
Shrnutí:We analyze the advances of deep learning in optical coherent modems on the physical layer with respect to modulation design, equalization and signal detection and give an outlook on a combined control and physical layer optimization using neural networks.