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
2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings
21622701 (eISSN)
Vol. Part F174-OFC 2020 W3D.49781943580712 (ISBN)
Optical Fiber Communication Conference (OFC) 2020
San Diego, CA, USA,
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.
Signalformning i optisk datatransmission – bortom gausskanalen
Vetenskapsrådet (VR) (2017-03702), 2018-01-01 -- 2021-12-31.
Styrkeområden
Informations- och kommunikationsteknik
Ämneskategorier
Telekommunikation
Kommunikationssystem
Signalbehandling
DOI
10.1364/OFC.2020.W3D.4