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, Kommunikations- och antennsystem, Kommunikationssystem

Erik Agrell

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

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

W3D.4

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

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

Europeiska kommissionen (EU), 2017-01-01 -- 2019-12-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Kommunikationssystem

Signalbehandling

DOI

10.1364/OFC-2020-W3D.4

ISBN

9781943580712

Mer information

Senast uppdaterat

2020-09-15