Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control

Analysis and optimization of sensing agility in cognitive radio

Authors
Bingcai Sun, Shengliang Peng, Renyang Gao, Xi Yang
Corresponding Author
Bingcai Sun
Available Online April 2016.
DOI
10.2991/icmemtc-16.2016.236How to use a DOI?
Keywords
Sensing Agility; Cognitive Radio; Optimization
Abstract

Cognitive radio (CR) technology provides a new approach to solve the problem of wireless spectrum resource scarcity by allowing secondary users (SUs) to access the licensed spectrum in case that SUs do not interfere primary user (PU). One of the most challenging tasks in CR is spectrum sensing. This paper concentrates on the state change of PU's disappearance and analyzes the agility of spectrum sensing via evaluating its sensing time. Some expressions for sensing time are deduced. Based on these expressions, this paper also investigates how to optimize the sensing agility by choosing an appropriate detection period. Simulation results are provided to illustrate the validity of agility analysis and agility optimization in this paper.

Copyright
© 2016, 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 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-173-5
ISSN
2352-5401
DOI
10.2991/icmemtc-16.2016.236How to use a DOI?
Copyright
© 2016, 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  - Bingcai Sun
AU  - Shengliang Peng
AU  - Renyang Gao
AU  - Xi Yang
PY  - 2016/04
DA  - 2016/04
TI  - Analysis and optimization of sensing agility in cognitive radio
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1193
EP  - 1197
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.236
DO  - 10.2991/icmemtc-16.2016.236
ID  - Sun2016/04
ER  -