Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

The Analysis of BER and SNR Based on High Altitude Platform Station in Wireless Communication Network

Authors
Xiaoyang Liu, Wanping Liu, Chao Liu, Xiaoping Zeng
Corresponding Author
Xiaoyang Liu
Available Online October 2016.
DOI
10.2991/ceie-16.2017.96How to use a DOI?
Keywords
High Altitude Platform Station; Channel Performance; Probability Density Function
Abstract

The High Altitude Platform Station (HAPS) wireless communication channel performance of space near network is investigated. The probability density function is derived. The HAPS commutation system model is built. Then, mathematical model under different conditions is evaluated through numerical simulations to verify HAPS commutation system model. The simulation results shows that the proposed method has a better channel performance than the traditional methods. Furthermore, the Bit Error Ratio(BER) has an important influence on the HAPS channel performance.

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 International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
10.2991/ceie-16.2017.96
ISSN
2352-5401
DOI
10.2991/ceie-16.2017.96How 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  - Xiaoyang Liu
AU  - Wanping Liu
AU  - Chao Liu
AU  - Xiaoping Zeng
PY  - 2016/10
DA  - 2016/10
TI  - The Analysis of BER and SNR Based on High Altitude Platform Station in Wireless Communication Network
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 744
EP  - 750
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.96
DO  - 10.2991/ceie-16.2017.96
ID  - Liu2016/10
ER  -