End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information
Paper i proceeding, 2020

GMI-based end-to-end learning is shown to be highly nonconvex. We apply gradient descent initialized with Gray-labeled APSK constellations directly to the constellation coordinates. State-of-the-art constellations in 2D and 4D are found providing reach increases up to 26% w.r.t. to QAM.

Författare

Kadir Gümüş

Technische Universiteit Eindhoven

Alex Alvarado

Technische Universiteit Eindhoven

Bin Chen

Technische Universiteit Eindhoven

Christian Häger

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Erik Agrell

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Optical Fiber Communication Conference (OFC) 2020, OSA Technical Digest

W3D.4
9781943580712 (ISBN)

Optical Fiber Communication Conference (OFC) 2020
San Diego, CA, USA,

Coding for terabit-per-second fiber-optical communications (TERA)

Europeiska kommissionen (EU) (EC/H2020/749798), 2017-01-01 -- 2019-12-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Kommunikationssystem

Signalbehandling

DOI

10.1364/OFC.2020.W3D.4

Mer information

Senast uppdaterat

2022-09-28