On minimum sensing error with spectrum sensing using counting rule in cognitive radio networks

ABSTRACT

In cognitive radio networks (CRN), spectrum sensing requires each secondary user to efficiently and effectively detect the presence of primary users. In this paper, we study cooperative spectrum sensing (CSS), which is based on counting rules. Particularly, we first derive the optimal sensing strategy of CSS to minimize the sensing error, and then propose a simple algorithm to calculate the optimal parameter settings for CSS. Numerical results have been conducted and also validated that our proposed approach can achieve satisfying performance.

REFERENCES

• 1: M. A. McHenry. NSF Spectrum Occupancy Measurements Project Summary. Shared Spectrum Company Report.
• 2: J. Mitola and G. Q. Maguire. Cognitive radios: making software radios more personal. IEEE Personal Communications, 6(4): 13--18, Aug. 1999.
• 3: S. Haykin. Cognitive radio: brain-empowered wireless communications. IEEE Trans. Commun., 23(2): 201--220, Feb. 2005.
• 4: E. Visotsky, S. Kuffner, and R. Peterson. On collaborative detection of tv transmissions in support of dynamic spectrum sensing. In Proc. First IEEE Symposium on Dynamic Spectrum Access Networks, (Baltimore, USA, Nov. 2005), pages 131--136.
• 5: A. Ghasemi and E. S. Sousa. Collaborative spectrum sensing for opportunistic access in fading environments,. In Proc. First IEEE Symposium on Dynamic Spectrum Access Networks, (Baltimore, USA, Nov. 2005), pages 338--345.
• 6: S. M. Mishra, A. Sahai, and R. W. Broderson. Cooperative sensing among cognitive radios. In Proc. IEEE Int. Conf. Communications, (Istanbul, Turkey, June. 2006), pages 1658--1663.
• 7: Z. Quan, S. Cui, and A. H. Sayed. Optimal linear cooperation for spectrum sensing in cognitive radio networks. IEEE J. Select. Signal Processing., 2(1): 28--40, Feb. 2008.
• 8: J. Unnikrishnan and V. V. Veeravalli. Cooperative sensing for primary detection in cognitive radio. IEEE J. Select. Signal Processing., 2(1): 18--27, Feb. 2008.
• 9: M. Gudmundson. A correlation model for shadow fading in mobile radio. Electr. Letters, 27(23):2145--2146, Nov. 1991.
• 10: A. Sahai, N. Hoven, and R. Tandra. Some fundamental limits on cognitive radio. In Allerton Conference on Communication, Control, and Computing, (Oct. 2004.), pages 1658--1663.
• 11: H. Urkowitz. Energy detection of unkown deterministic signals. Proceedings of the IEEE, 55(4): 523--531, April 1967.
• 12: Steven M. Kay, Fundamentals of statistical signal processing: estimation theory, Prentice-Hall, Inc., Upper Saddle River, NJ, 1993
• 13: F. F. Digham, M.-S. Alouini, and M. K. Simon. On the energy detection of unknown signals over fading channels. In Proc. IEEE Int. Conf. Communications (May 2003), pages 3575--3579.
• 14: I. S. Gradshtein and I. Ryzhik. Table of Integrals, Series, and Products. Academic, San Diego, CA, 2000.
• 15: Stephen Boyd , Lieven Vandenberghe, Convex Optimization, Cambridge University Press, New York, NY, 2004
• 16: P. Willett and D. Warren. The suboptimality of randomized tests in distributed and quantized detection systems. IEEE Trans. Inform. Theory, 38(2): 355--361, Mar. 1992.
• 17: Y. I. Han and T. Kim. Randomized fusion rules can be optimal in distributed neyman-pearson detectors. IEEE Trans. Inform. Theory, 43(4): 1281--1288, July 1997.
• 18: D. V. Griffiths and I. M. Smith. Numerical Methods for Engineers. Blackwell Scientific, London, 2002.

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.1 Network Architecture and Design

Keywords:
cognitive radio, cooperative spectrum sensing, counting rule, error, optimization, sensing error, spectrum sensing