Learning Optimal PAM Levels for VCSEL-based Optical Interconnects
Paper in proceeding, 2022

An auto-encoder that optimizes a VCSEL-based fiber-optic system end-to-end and provides a 1.5dB sensitivity gain at higher temperatures is trained, utilizing a neural network that models the response of a VCSEL for a range of operating temperatures.

Author

Muralikrishnan Srinivasan

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Jinxiang Song

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Christian Häger

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Krzysztof Szczerba

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Jochen Schröder

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

2022 European Conference on Optical Communication, ECOC 2022


978-195717115-9 (ISBN)

European Conference on Optical Communication
Basel, Switzerland,

Physics-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.

Subject Categories

Telecommunications

Other Physics Topics

Communication Systems

ISBN

9781957171159

More information

Latest update

10/25/2023