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Tang, Wuchen; Imran, Muhammad Ali; Tafazolli, Rahim (2013)
Languages: English
Types: Other
Subjects:
In cognitive radio network, secondary (unlicensed) users (SUs) are allowed to utilize the licensed spectrum when it is not used by the primary (licensed) users (PUs). Because of the dynamic nature of cognitive radio network, the activities of SUs such as "how long to sense" and "how long to transmit" significantly affect both the service quality of the cognitive radio networks and protection to PUs. In this work, we formulate and analyze spectrum utilization efficiency problem in the cognitive radio network with various periodic frame structure of SU, which consists of sensing and data transmission slots. Energy detection is considered for spectrum sensing algorithm. To achieve higher spectrum utilization efficiency, the optimal sensing and data transmission length are investigated and found numerically. The simulation results are presented to verify the our analysis and to evaluate the interference to the PU which should be controlled into tolerable level.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] F. C. Commission., “Spectrum policy task force report,fcc 02-155,” Tech. Rep., 2002.
    • [2] I. Mitola, J. and J. Maguire, G.Q., “Cognitive radio: making software radios more personal,” Personal Communications, IEEE, vol. 6, no. 4, pp. 13 -18, Aug. 1999.
    • [3] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” Selected Areas in Communications, IEEE Journal on, vol. 23, no. 2, pp. 201 - 220, 2005.
    • [4] Q. Zhao and B. Sadler, “A survey of dynamic spectrum access,” Signal Processing Magazine, IEEE, vol. 24, no. 3, pp. 79 -89, May 2007.
    • [5] I. Akyildiz, W.-Y. Lee, M. Vuran, and S. Mohanty, “A survey on spectrum management in cognitive radio networks,” Communications Magazine, IEEE, vol. 46, no. 4, pp. 40 -48, 2008.
    • [6] Y.-C. Liang, Y. Zeng, E. Peh, and A. T. Hoang, “Sensingthroughput tradeoff for cognitive radio networks,” in Communications, 2007. ICC '07. IEEE International Conference on, june 2007, pp. 5330 -5335.
    • [7] --, “Sensing-throughput tradeoff for cognitive radio networks,” Wireless Communications, IEEE Transactions on, vol. 7, no. 4, pp. 1326 -1337, april 2008.
    • [8] Y. Pei, Y.-C. Liang, K. C. Teh, and K. H. Li, “Sensingthroughput tradeoff for cognitive radio networks: A multiple-channel scenario,” in Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on, sept. 2009, pp. 1257 -1261.
    • [9] S. Stotas and A. Nallanathan, “Optimal sensing time and power allocation in multiband cognitive radio networks,” Communications, IEEE Transactions on, vol. 59, no. 1, pp. 226 -235, january 2011.
    • [10] Y. Pei, A. T. Hoang, and Y.-C. Liang, “Sensingthroughput tradeoff in cognitive radio networks: How frequently should spectrum sensing be carried out?” in Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on, 2007, pp. 1 -5.
    • [11] W. Tang, M. Shakir, M. Imran, R. Tafazolli, and M.- S. Alouini, “Throughput analysis for cognitive radio networks with multiple primary users and imperfect spectrum sensing,” Communications, IET, vol. 6, no. 17, pp. 2787-2795, November 2012.
    • [12] A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes. McGraw-Hill, New York, 2002.
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