Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

Parameter Optimization of ARQ System based on Proximity-1 Protocol

Authors
Jie Wang, Chenghua Wang, Hao Wu, Qiangqiang Mao
Corresponding Author
Jie Wang
Available Online February 2017.
DOI
10.2991/emcm-16.2017.166How to use a DOI?
Keywords
CCSDS; Proximity-1 protocol; GBN-ARQ; Frame length; Sliding window length
Abstract

In order to improve the communication efficiency of the spacecraft in the Proximity space link, a GBN-ARQ scheme is designed based on the proximity-1 protocol. On the basis of this, to maximize the system throughput and normalized throughput, the data frame length and the sliding window length are optimized, and their theoretical optimal value are obtained. Simulation and analysis results show that the data frame length of the ARQ scheme should be set to 1024byte, and the system efficiency can be improved by selecting the appropriate window length in the given system parameters.

Copyright
© 2017, 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 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
10.2991/emcm-16.2017.166
ISSN
2352-538X
DOI
10.2991/emcm-16.2017.166How to use a DOI?
Copyright
© 2017, 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  - Jie Wang
AU  - Chenghua Wang
AU  - Hao Wu
AU  - Qiangqiang Mao
PY  - 2017/02
DA  - 2017/02
TI  - Parameter Optimization of ARQ System based on Proximity-1 Protocol
BT  - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.166
DO  - 10.2991/emcm-16.2017.166
ID  - Wang2017/02
ER  -