TR2016-015
GMI-Maximizing Constellation Design with Grassmann Projection for Parametric Shaping
-
- , "GMI-Maximizing Constellation Design with Grassmann Projection for Parametric Shaping", Optical Fiber Communication Conference and Exposition (OFC), DOI: 10.1364/OFC.2016.M2A.4, March 2016.BibTeX TR2016-015 PDF
- @inproceedings{Koike-Akino2016mar2,
- author = {Koike-Akino, Toshiaki and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
- title = {{GMI-Maximizing Constellation Design with Grassmann Projection for Parametric Shaping}},
- booktitle = {Optical Fiber Communication Conference and Exposition (OFC)},
- year = 2016,
- month = mar,
- doi = {10.1364/OFC.2016.M2A.4},
- isbn = {978-1-943580-07-1},
- url = {https://www.merl.com/publications/TR2016-015}
- }
- , "GMI-Maximizing Constellation Design with Grassmann Projection for Parametric Shaping", Optical Fiber Communication Conference and Exposition (OFC), DOI: 10.1364/OFC.2016.M2A.4, March 2016.
-
MERL Contacts:
-
Research Areas:
Abstract:
We introduce a new geometric shaping to optimize signal constellations maximizing generalized mutual information for both binary and nonbinary coding. With parametric projection of hyper cubes, we can perform seamless constellation shaping with near 1 dB gain.
Related News & Events
-
AWARD MERL researchers presented 5 papers at the 2016 Optical Fiber Communication Conference (OFC), including one "Top Scored" paper Date: March 24, 2016
Awarded to: Toshiaki Koike-Akino, Keisuke Kojima, David S. Millar, Kieran Parsons, Tsuyoshi Yoshida, Takashi Sugihara
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons
Research Areas: Communications, Electronic and Photonic Devices, Signal ProcessingBrief- Five papers from the Optical Comms team were presented at the 2016 Optical Fiber Conference (OFC) held in Anaheim, USA in March 2016. The papers relate to enhanced modulation formats, constellation shaping, chromatic dispersion estimation, low complexity adaptive equalization and coding for coherent optical links. The top-scored paper studied optimal selection of coding and modulation sets to jointly maximize nonlinear tolerance and spectral efficiency.