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,

Unlocking the Full-dimensional Fiber Capacity

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

Subject Categories

Robotics

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

ISBN

9781557528209

More information

Latest update

9/26/2022