Affiliation:
1. BP 17, bordj El Bahri, Algiers, Algeria
Abstract
The hidden-nodes and noise uncertainty have a negative impact on the spectrum sensing results in cognitive radio. Accordingly, cooperative spectrum sensing is proposed to effectively increase detection reliability by dealing with different soft and hard patterns in the fusion center. In the present work, we analyzed various soft and hard fusion rules. Improved Square Law Combining (SLC) rules are proposed to provide better detection performance than the conventional scheme. To validate the introduced rule, MATLAB simulations were conducted revealing the out-performance of the proposed schemes over the conventional one even in a critical wireless environment with a low signal-to-noise ratio. The proposed approach is then more advantageous because it minimizes the trade-off between detection performance and computational complexity.
Publisher
North Atlantic University Union (NAUN)
Subject
Electrical and Electronic Engineering,Signal Processing
Reference36 articles.
1. J. Mitola and G. Maguire, “Cognitive radio: Making software radios more personal,” IEEE Personal Communications, vol. 6, no. 4, pp. 13–18, Aug./1999.
2. S. Force, “Spectrum policy task force report,” Federal Communications Commission ET Docket 02, vol. 135, 2002.
3. A. Ghasemi and E. S. Sousa, “Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs,” IEEE Communications magazine, vol. 46, no. 4, pp. 32–39, 2008.
4. F. F. Digham, M.-S. Alouini, and M. K. Simon, “On the Energy Detection of Unknown Signals Over Fading Channels,” IEEE Transactions on Communications, vol. 55, pp. 21–24, Jan. 2007.
5. H. Urkowitz, “Energy detection of unknown deterministic signals,” Proceedings of the IEEE, vol. 55, no. 4, pp. 523–531, 1967.