Proceedings of the 2018 International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2018)

Subset Optimization of Adaptive Coding and Modulation Modes According to DVB-S2X

Authors
Chuang Wang, Dongming Bian, Feilong Li, Yongqiang Li, Jing Hu
Corresponding Author
Chuang Wang
Available Online April 2018.
DOI
10.2991/bbbs-18.2018.46How to use a DOI?
Keywords
Adaptive, Modulation, Subset Optimization
Abstract

With the increasing requirement in satellite communication, Digital Video Broadcasting-Satellite extension (DVB-S2X) standard is proposed to reach higher efficiency. DVB-S2X provides 112 adaptive coding and modulation modes to get high efficiency which approaches the Shannon limit. However, with the entire modes adopted in a system, the complexity will rapidly increase. To balance the efficiency and complexity, this paper puts forward an algorithm based on rainfall probability to optimize the mode subset. The simulation shows that with fewer modes optimized by the proposed algorithm, the spectral efficiency almost reaches that of the entire modes

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2018)
Series
Advances in Biological Sciences Research
Publication Date
April 2018
ISBN
10.2991/bbbs-18.2018.46
ISSN
2468-5747
DOI
10.2991/bbbs-18.2018.46How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chuang Wang
AU  - Dongming Bian
AU  - Feilong Li
AU  - Yongqiang Li
AU  - Jing Hu
PY  - 2018/04
DA  - 2018/04
TI  - Subset Optimization of Adaptive Coding and Modulation Modes According to DVB-S2X
BT  - Proceedings of the 2018 International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2018)
PB  - Atlantis Press
SP  - 214
EP  - 220
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbbs-18.2018.46
DO  - 10.2991/bbbs-18.2018.46
ID  - Wang2018/04
ER  -