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.

Bibliographic Details

Published in:	2020 Optical Fiber Communications Conference and Exhibition (OFC) pp. 1 - 3
Main Authors:	Kuschnerov, Maxim, Schaedler, Maximilian, Bluemm, Christian, Calabro, Stefano
Format:	Conference Proceeding
Language:	English
Published:	OSA 01.03.2020
Subjects:	Deep learning Modems Optical computing Optical design Optical fiber networks Optical fibers Optical modulation Optical signal processing Physical layer Signal detection
Online Access:	Get full text
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