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Performance Evaluation Of Qos Parameters In Cognitive Radio Using Genetic Algorithm

Authors: Kaur, Maninder Jeet; Uddin, Moin; Verma, Harsh K.;

Performance Evaluation Of Qos Parameters In Cognitive Radio Using Genetic Algorithm

Abstract

{"references": ["D. Cabric, S. M. Mishra, and R. Brodersen, \"Implementation issues in\nspectrum sensing for cognitive radios,\" in Proc. 38th Asilomar Conf.\nSignals, Systems and Computers, Pacific Grove, CA, Nov. 2004, pp.\n772-776.", "I. F. Akyildiz, W. Y. Lee, M. C. Vuran, S. Mohanty, \"NeXt generation\ndynamic spectrum access cognitive radio wireless networks: A survey,\"\nComputer Networks, 50, 2006, pp 2127-2159", "FCC, \"Spectrum policy task force report,\" ET Docket No. 02-155, Nov.\n2002.", "Joint Tactical radio Systems, \"Software communications architecture\nspecification,\" November 2002.", "R. Etkin, A. Parekh, and D.Tse, \"Spectrum sharing for unlicensed\nbands,\" in IEEE International Symposium on New Frontiers in Dynamic\nSpectrum Access, 2005, pp 251-258", "Spectrum Policy Task Force, \"Report of the spectrum policy\nworkgroup,\" November 2002. [Online]. Available: http://www.fcc.gov\n/sptf/files/SEWGFinalReport\\_1.pdf", "C.J. Rieser, \"Biologically inspired cognitive radio engine model utilizing\ndistributed genetic algorithms for secure and robust wireless\ncommunications and networking,\" Ph.D dissertation, Virginia\nPolytechnic Institute and State University, April 2004.", "R.L. Haupt, S.E Haupt, Practical Genetic Algorithms. Wiley, 2004.", "H. Lu and G.G. Yen, \"Multiobjective Optimization Design via Genetic\nAlgorithm,\" IEEE Proceedings of the International Conference on\nControl Applications, 2001, pp.1190-1195.\n[10] D. E. Goldberg, Genetic Algorithms in Search, Optimization, and\nMachine Learning, Addison-Wesley Professional, 1989\n[11] M. Mitchell, An Introduction to Genetic Algorithm. The MIT Press,\n1998.\n[12] http://cfpm.org/~david/talks/ga2005/web/ga-java-site/cs.felk. cvut.cz\n/_xobitko/ga/main.html\n[13] B. Ackland, D. Raychaudhuri, M. Bushnell, C. Rose, I. Seskar, T. Sizer,\nD. Samardzija, J. Pastalan, A. Siegel, J. Laskar, S. Pinel, K. Lim, \"High\nPerformance Cognitive Radio Platform with Integrated Physical and\nNetwork Layer Capabilities,\" Georgia Institute of Technology Interim\nTechnical Report, July, 2005.\n[14] T.Newman, B.Barker, A. Wyglinski, A.Agah, J.Evans, G.Minden,\nCognitive engine implementation for wireless multicarrier transceivers.\nWiley Wireless Communications and Mobile Computing edition, 2007."]}

The efficient use of available licensed spectrum is becoming more and more critical with increasing demand and usage of the radio spectrum. This paper shows how the use of spectrum as well as dynamic spectrum management can be effectively managed and spectrum allocation schemes in the wireless communication systems be implemented and used, in future. This paper would be an attempt towards better utilization of the spectrum. This research will focus on the decision-making process mainly, with an assumption that the radio environment has already been sensed and the QoS requirements for the application have been specified either by the sensed radio environment or by the secondary user itself. We identify and study the characteristic parameters of Cognitive Radio and use Genetic Algorithm for spectrum allocation. Performance evaluation is done using MATLAB toolboxes.

Keywords

Fitness Functions, Fuzzy Logic, Cognitive Radio, Quality of Service (QoS)

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