Abstract
A probabilistic shaping modulation (PSM) format based on fixed-to-fixed (f2f) symbols projection constant composition distribution matching (SP-CCDM) method is proposed. The proposed PSM is an eminent coding method since the optimized redundancy rate by SP-CCDM is smaller than the one with conventional CCDM method. The change of constellation diagram under representative signal noise ratio rationalizes the root to corrupted signals during the investigation of spectral efficiency. The f2f SP-CCDM method offers an effective way to purification of received signals.
Original language | English |
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Title of host publication | 2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 102-107 |
Number of pages | 6 |
ISBN (Electronic) | 9781538621592 |
DOIs | |
Publication status | Published - 2 Jul 2017 |
Externally published | Yes |
Event | 25th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Xiamen, China Duration: 6 Nov 2017 → 9 Nov 2017 |
Publication series
Name | 2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings |
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Volume | 2018-January |
Conference
Conference | 25th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 |
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Country/Territory | China |
City | Xiamen |
Period | 6/11/17 → 9/11/17 |
Keywords
- BER
- SP-CCDM
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Lin, S., Shen, H., Lin, Z., Lin, L., & Dong, Z. (2017). Dynamic probabilistic shaping modulation based on fixed-to-fixed symbols projection constant composition distribution matching. In 2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings (pp. 102-107). (2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPACS.2017.8266454