Cellular Automata Approach for Spectrum Sensing in Energy Efficient Sensor Network Aided Cognitive Radio-Reference-Cited by-同舟云学术

Cellular Automata Approach for Spectrum Sensing in Energy Efficient Sensor Network Aided Cognitive Radio

Published:2012 Issue: Volume: Page:54-61
ISSN:1865-0929
Container-title:Eco-friendly Computing and Communication Systems
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Author:

Jacob Jaison,Jose Babita R.,Mathew Jimson

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-32112-2_7.pdf

Reference12 articles.

1. Menouni Hayar, A., Knopp, R., Pacalet, R.: Cognitive radio Research and Implementation Challenges, Mobile Communications Laboratory Institute, Eurécom, Sophia Antipolis, France

2. Kang, X., Liang, Y.C., Nallanathan, A.: Optimal power allocation for fading channels in cognitive radio networks under transmit and interference power constraints. In: Proc. IEEE International Conf. on Communications (ICC), Beijing, China (May 2008)

3. Zhang, L., Xin, Y., Liang, Y.C.: Weighted Sum Rate Optimization for Cognitve Radio MIMO Broadcast Channels. IEEE Trans. on Wireless Communications, 2950–2959 (June 2009)

4. Hoang, A.T., Liang, Y.C., Zeng, Y.H.: Adaptive Joint Scheduling of Spectrum Sensing and Data Transmission in Cognitive Radio Networks. IEEE Trans. on Communications, 235–246 (January 2010)

5. Yücek, T., Arslan, H.: A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications. IEEE Communications Surveys and Tutorials 11(1) (first quarter 2009)

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