Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

Optimal Spectrum Sensing Time and Transmit Power Based on Energy Efficiency in Cognitive Radio Networks

Authors
J.X. Dai, Z.J. Ni, J.W. Liang, X. Wang, T. Yuan
Corresponding Author
J.X. Dai
Available Online July 2015.
DOI
10.2991/aiie-15.2015.143How to use a DOI?
Keywords
cognitive radio; spectrum sensing; energy efficiency; sensing time; transmit power
Abstract

The optimization problems of spectrum sensing time and power in CR network are investigated in this paper. Firstly, the energy efficiency optimization problem, whose variables that should be jointly optimized are transmit power and sensing time of cognitive users, is derived. Then, the relations between the energy efficiency and transmit power, the energy efficiency and spectrum sensing time are analyzed, respectively. The numerical results show that CR network can achieve almost the maximum achievable data rate with significant energy saving through the joint optimization.

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 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/aiie-15.2015.143
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.143How 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  - J.X. Dai
AU  - Z.J. Ni
AU  - J.W. Liang
AU  - X. Wang
AU  - T. Yuan
PY  - 2015/07
DA  - 2015/07
TI  - Optimal Spectrum Sensing Time and Transmit Power Based on Energy Efficiency in Cognitive Radio Networks
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 534
EP  - 538
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.143
DO  - 10.2991/aiie-15.2015.143
ID  - Dai2015/07
ER  -