Experimental Demonstration of Learned Pulse Shaping Filter for Superchannels
Paper in proceeding, 2022
We demonstrate a pulse shaping filter enabled by machine learning for spectral superchannels. In contrast to a 1% roll-off root-raised cosine filter, our learned filter reduces the adaptive equalizer length by 47% for the same spectral efficiency.
Author
Zonglong He
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Jinxiang Song
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Christian Häger
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Alexandre Graell I Amat
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Peter Andrekson
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Magnus Karlsson
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Jochen Schröder
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings
W2A.33
9781557524669 (ISBN)
2022 Optical Fiber Communications Conference and Exhibition, OFC 2022
San Diego, USA,
San Diego, USA,
Unlocking the Full-dimensional Fiber Capacity
Knut and Alice Wallenberg Foundation (KAW 2018.0090), 2019-07-01 -- 2024-06-30.
Subject Categories
Communication Systems
Robotics
Signal Processing
Computer Vision and Robotics (Autonomous Systems)