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Distance-Agnostic Auto-Encoders for Short Reach Fiber Communications

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Abstract

Strategies for optimization of 100 Gb/s neural network-based transceivers are investigated for ensuring tolerance to transmission link variations. Exploiting the robustness/error rate trade-off, operation below HD-FEC is achieved for a wide range of distances without transceiver reconfiguration.

© 2021 The Author(s)

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