End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairment
Paper in proceeding, 2021

We propose an end-to-end learning-based approach for superchannel systems impaired by non-ideal hardware component. Our system achieves up to 60% SER reduction and up to 50% guard band reduction compared with the considered baseline scheme.

Author

Jinxiang Song

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Christian Häger

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Jochen Schröder

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

Alexandre Graell I Amat

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Henk Wymeersch

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings

9490013

2021 Optical Fiber Communications Conference and Exhibition, OFC 2021
San Francisco, USA,

Subject Categories

Computer Engineering

Embedded Systems

Computer Systems

ISBN

9781943580866

More information

Latest update

8/23/2021