Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

Throughput Analysis of Unslotted CSMA with Grouped Sensing in Multi-Channel Cognitive Radio Network

Authors
Hongqian Fang, Dongbi Zhu
Corresponding Author
Hongqian Fang
Available Online November 2015.
DOI
10.2991/icmmita-15.2015.132How to use a DOI?
Keywords
cognitive radio network; CSMA; grouped sensing; throughput; HoL packet delay
Abstract

We propose an unslotted CSMA with grouped sensing and analyze the throughput of SUs in multi-channel cognitive radio network. We model the system by 3-demensional continuous time Markov process, calculate the steady state probability of the system, and obtain throughput and transmission delay of SUs. By comparing the performances of grouped sensing scheme, random m-sensing and hybrid sensing, the numerical results show that grouped sening scheme overcome the defect of low throughput in random m-sensing scheme.

Copyright
© 2015, 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 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/icmmita-15.2015.132
ISSN
2352-538X
DOI
10.2991/icmmita-15.2015.132How to use a DOI?
Copyright
© 2015, 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  - Hongqian Fang
AU  - Dongbi Zhu
PY  - 2015/11
DA  - 2015/11
TI  - Throughput Analysis of Unslotted CSMA with Grouped Sensing in Multi-Channel Cognitive Radio Network
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 687
EP  - 692
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.132
DO  - 10.2991/icmmita-15.2015.132
ID  - Fang2015/11
ER  -