End-to-End Learning for VCSEL-based Optical Interconnects: State-of-the-Art, Challenges, and Opportunities
Journal article, 2023
Machine learning
Optical transmitters
end-to-end learning
Transceivers
Data models
Optical fibers
VCSEL-based optical interconnects
optical communications
Vertical cavity surface emitting lasers
Adaptation models
Optical fiber networks
Author
Muralikrishnan Srinivasan
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Jinxiang Song
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Alexander Grabowski
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Krzysztof Szczerba
OpenLight Photonics
Holger K. Iversen
Technical University of Denmark (DTU)
Mikkel N. Schmidt
Technical University of Denmark (DTU)
D. Zibar
Technical University of Denmark (DTU)
Jochen Schröder
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Anders Larsson
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Christian Häger
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Journal of Lightwave Technology
0733-8724 (ISSN) 1558-2213 (eISSN)
Vol. 41 11 3261-3277Physics-Based Deep Learning for Optical Data Transmission and Distributed Sensing
Swedish Research Council (VR) (2020-04718), 2021-01-01 -- 2024-12-31.
Hot-Optics
Swedish Foundation for Strategic Research (SSF) (CHI19-0004), 2021-01-01 -- 2025-12-31.
Unlocking the Full-dimensional Fiber Capacity
Knut and Alice Wallenberg Foundation (KAW 2018.0090), 2019-07-01 -- 2024-06-30.
Subject Categories
Production Engineering, Human Work Science and Ergonomics
Communication Systems
Embedded Systems
Computer Systems
Areas of Advance
Information and Communication Technology
DOI
10.1109/JLT.2023.3251660