End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairments
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, Antennas and Optical Networks, Communication Systems

Christian Häger

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks, Communication Systems

Jochen Schröder

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

Alexandre Graell I Amat

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks, Communication Systems

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks, Communication Systems

Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings


978-1-943580-86-6 (ISBN)

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

Multi-dimensional Signal Processing with Frequency Comb Transceivers

Swedish Research Council (VR) (2018-03701), 2018-12-01 -- 2021-12-31.

Unlocking the Full-dimensional Fiber Capacity

Knut and Alice Wallenberg Foundation (KAW 2018.0090), 2019-07-01 -- 2024-06-30.

Subject Categories

Computer Engineering

Embedded Systems

Computer Systems

Areas of Advance

Information and Communication Technology

More information

Latest update

2/3/2022 1