MH2.1 -
Probabilistic Shaping Benefits and Practicality for Higher-Order QAM Tutorial
10:30-12:00
2017-10-02 10:30
2017-10-02 12:00
America/Denver
Probabilistic Shaping Benefits and Practicality for Higher-Order QAM
Probabilistic shaping schemes and their benefits are reviewed. Probabilistic Amplitude Shaping (PAS) is presented, a layered architecture currently considered for industrial applications. Implementation challenges and proposed solutions are discussed, including distribution matching algorithms for shaping, integration with forward error correction, and digital signal processing.
Hilton Santa Fe Historic Plaza Poinsettia/ Quince
G. Böcherer
, Technical University of Munich, Munich, Germany,
P. Schulte
, Technical University of Munich, Munich, Germany
F. Steiner
, Technical University of Munich, Munich, Germany
Probabilistic shaping schemes and their benefits are reviewed. Probabilistic Amplitude Shaping (PAS) is presented, a layered architecture currently considered for industrial applications. Implementation challenges and proposed solutions are discussed, including distribution matching algorithms for shaping, integration with forward error correction, and digital signal processing.
