Energy-Based Maximum Likelihood Spectrum Sensing Method for the Cognitive Radio
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s11277-016-3266-0.pdf
Reference10 articles.
1. FCC. (2002). Spectrum policy task force report. In Proceedings of the Federal Communications Commission (FCC’03). Washington, DC, USA.
2. Mitola, J., & Maguire, G. Q, Jr. (1999). Cognitive radio: Making software radio more personal. IEEE Personal Communications, 6(4), 13–18.
3. Yarkan, S. (2015). A generic measurement setup for implementation and performance evaluation of spectrum sensing techniques: Indoor environments. IEEE Transactions on Instrumentation and Measurement, 64(3), 606–614.
4. Zeng, Y., Liang, Y.-C., Hoang, A. T., & Zhang, R. (2010). A review on spectrum sensing for cognitive radio: challenges and solutions. EURASIP Journal on Advances in Signal Processing 2010, 2010(1), 1–15.
5. Yucek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys and Tutorials, 11(1), 116–130.
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