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
Christian Häger
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Jochen Schröder
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Alexandre Graell I Amat
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
2021 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,
Virtual, San Francisco, USA,
Unlocking the Full-dimensional Fiber Capacity
Knut and Alice Wallenberg Foundation (KAW 2018.0090), 2019-07-01 -- 2024-06-30.
Multi-dimensional Signal Processing with Frequency Comb Transceivers
Swedish Research Council (VR) (2018-03701), 2018-12-01 -- 2021-12-31.
Subject Categories
Computer Engineering
Embedded Systems
Computer Systems
Areas of Advance
Information and Communication Technology