Optimal Layered Scheduling for Hardware-Efficient Windowed Decoding of LDPC Convolutional Codes
Conference: ECOC 2016 - 42nd European Conference on Optical Communication
09/18/2016 - 09/22/2016 at Düsseldorf, Deutschland
Proceedings: ECOC 2016
Pages: 3Language: englishTyp: PDF
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Authors:
Koike-Akino, Toshiaki; Wang, Ye; Millar, David S.; Parsons, Kieran; Arlunno, Valeria; Kojima, Keisuke (Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA 02139, USA)
Draper, Stark C. (Electrical & Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada)
Sugihara, Kenya; Matsumoto, Wataru (Information Technology R&D Center, Mitsubishi Electric Corp., Ofuna, Kanagawa 247-8501, Japan)
Abstract:
We propose an optimal design method for layered scheduling in low-power windowed decoding of LDPC convolutional codes. Our optimal scheduling achieves up to a 70% complexity reduction and a 1 dB gain over conventional scheduling for limited decoding iterations.