Abstract
In this paper, we apply an efficient scaling strategy on layered scaled min-sum LDPC decoder. In addition, we propose a joint optimization strategy for the quantization and scaling parameters of layered scaled min-sum LDPC decoder. The study of our optimization results, for DVB-S2 LDPC codes with different constellation sizes and code rates, shows that each constellation size code rate pair has different optimal scaling and quantization parameters. In order to maximize the achievable performance, we propose using the different scaling and quantization parameters for each constellation size code rate pair. The simulation results show the performance improvement of separately using optimal scaling parameters or optimal quantization parameters, and the overall performance enhancement of using both optimal scaling and quantization parameters.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2668-2672 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781467377041 |
| DOIs | |
| Publication status | Published - Sep 28 2015 |
| Event | IEEE International Symposium on Information Theory, ISIT 2015 - Hong Kong, Hong Kong Duration: Jun 14 2015 → Jun 19 2015 |
Publication series
| Name | IEEE International Symposium on Information Theory - Proceedings |
|---|---|
| Volume | 2015-June |
| ISSN (Print) | 2157-8095 |
Other
| Other | IEEE International Symposium on Information Theory, ISIT 2015 |
|---|---|
| Country | Hong Kong |
| City | Hong Kong |
| Period | 6/14/15 → 6/19/15 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Information Systems
- Modelling and Simulation
- Applied Mathematics
Cite this
Optimized quantization and scaling of layered LDPC scaled min-sum decoder. / Emran, Ahmed A.; Elsabrouty, Maha; Muta, Osamu; Furukawa, Hiroshi.
Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2668-2672 7282940 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2015-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Optimized quantization and scaling of layered LDPC scaled min-sum decoder
AU - Emran, Ahmed A.
AU - Elsabrouty, Maha
AU - Muta, Osamu
AU - Furukawa, Hiroshi
PY - 2015/9/28
Y1 - 2015/9/28
N2 - In this paper, we apply an efficient scaling strategy on layered scaled min-sum LDPC decoder. In addition, we propose a joint optimization strategy for the quantization and scaling parameters of layered scaled min-sum LDPC decoder. The study of our optimization results, for DVB-S2 LDPC codes with different constellation sizes and code rates, shows that each constellation size code rate pair has different optimal scaling and quantization parameters. In order to maximize the achievable performance, we propose using the different scaling and quantization parameters for each constellation size code rate pair. The simulation results show the performance improvement of separately using optimal scaling parameters or optimal quantization parameters, and the overall performance enhancement of using both optimal scaling and quantization parameters.
AB - In this paper, we apply an efficient scaling strategy on layered scaled min-sum LDPC decoder. In addition, we propose a joint optimization strategy for the quantization and scaling parameters of layered scaled min-sum LDPC decoder. The study of our optimization results, for DVB-S2 LDPC codes with different constellation sizes and code rates, shows that each constellation size code rate pair has different optimal scaling and quantization parameters. In order to maximize the achievable performance, we propose using the different scaling and quantization parameters for each constellation size code rate pair. The simulation results show the performance improvement of separately using optimal scaling parameters or optimal quantization parameters, and the overall performance enhancement of using both optimal scaling and quantization parameters.
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U2 - 10.1109/ISIT.2015.7282940
DO - 10.1109/ISIT.2015.7282940
M3 - Conference contribution
AN - SCOPUS:84969795011
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2668
EP - 2672
BT - Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -