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Time Scheduling Based on Tradeoff between Detection Performance and QoS Requirement

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Abstract

A time scheduling scheme satisfying both the detection performance of a cognitive node in cognitive networks and the QoS requirement of a secondary user under fading channels is proposed in this paper. First, an optimal sensing time is obtained by maximizing the achievable throughput of a secondary user under the constraint that the primary user is sufficiently protected. Then, according to the second order statistic characteristics of fading channels, the transmission time is defined under the outage capacity constraint of a secondary user. Finally, a secondary sensing time is defined for the necessary of both primary protection and the guarantee of transmission QoS. It turns out to be an efficient scheme of spectrum utilization and time scheduling.

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References

  1. Yamada, T., Cosovic, I., Maeda, K., Kaiser, S.: Misallocation-Averse Policy for Decentralized Resource Allocation in Spectrum Sharing Systems. In: 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 1–6 (2008)

    Google Scholar 

  2. Ji, Z., Liu, K.J.R.: Cognitive Radios for Dynamic Spectrum Access - Dynamic Spectrum Sharing: A Game Theoretical Overview. IEEE Communications Magazine 45(5), 88–94 (2007)

    Article  Google Scholar 

  3. Xu, Y., Chen, W., Cao, Z.: Optimal Power Allocation for Spectrum Sharing in Frequency-Selective Unlicensed Bands. IEEE Communications Letters 12(7), 511–513 (2008)

    Article  Google Scholar 

  4. Etkin, R., Parekh, A., Tse, D.: Spectrum Sharing for Unlicensed Bands. IEEE Journal on Selected Areas in Communications 25(3), 517–528 (2007)

    Article  Google Scholar 

  5. Mitola, J., Maguire, G.Q.: Cognitive Radio: Makeing Software Radios More Personal. IEEE Pers. Commun. 6(6), 13–18 (1999)

    Article  Google Scholar 

  6. Shankar, N.S., Cordeiro, C., Challapali, K.: Spectrum Agile Radios: Utilization and Sensing Architectures. In: Proc. IEEE Symp. New Frontiers in Dynamic Spectrum Access Networks, Baltimore, USA, pp. 160–169 (2005)

    Google Scholar 

  7. Tian, Z., Giannakis, G.B.: A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios. In: Proc. Int. Conf. on Cognitive Radio Oriented Wireless Networks and Communications, Greece, pp. 8–10 (2006)

    Google Scholar 

  8. Ghasemi, A., Sousa, E.S.: Spectrum Sensing in Cognitive Radio Networks: the Cooperation-processing Tradeoff. Wirel. Commnun. Mob. Comput. 7, 1049–1060 (2007), doi:10.1002/wcm

    Article  Google Scholar 

  9. Hoang, A.T., Liang, Y.-C.: Adaptive Scheduling of Spectrum Sensing Periods in Cognitive Radio Networks. In: IEEE Global Telecommunications Conference, GLOBECOM 2007, pp. 3128–3132 (2007)

    Google Scholar 

  10. Liang, Y.-C., Zeng, Y., Peh, E., Hoang, A.T.: Sensing-throughput Tradeoff for Cognitive Radio Networks. In: IEEE International Conference on Communications ICC 2007, pp. 5330–5334 (2007)

    Google Scholar 

  11. Ghasemi, A., Sousa, E.S.: Asymptotic Performance of Collaborative Spectrum Sensing under Correlated Log-normal Shadowing. IEEE Communications Letters 11(1), 34–36 (2007)

    Article  Google Scholar 

  12. Ghasemi, A., Sousa, E.S.: Fundamental Limits of Spectrum-sharing in Fading Environments. IEEE Transactions on Wireless Communications 6(2), 649–658 (2007)

    Article  Google Scholar 

  13. Kang, X., Liang, Y.-C., Garg, H.K.: Outage Probability Minimization under Both The Transmit and Interference Power Constraints for Fading Channels in Cognitive Radio Networks. In: IEEE International Conference on Communications Workshops, ICC Workshops 2008, pp. 482–486 (2008)

    Google Scholar 

  14. Digham, F.F., Alouini, M.S., Simon, M.K.: On the Energy Detection of Unkown Signals over Fading Channels. In: Proceedings of the IEEE International Conference on Communications (ICC), pp. 3575–3579 (2003)

    Google Scholar 

  15. Kang, X., Liang, Y.-C., Garg, H.K.: Outage Probability Minimization under Both The Transmit and Interference Power Constraints for Fading Channels in Cognitive Radio Networks. In: IEEE International Conference on Communications Workshops, ICC Workshops 2008, pp. 482–486 (2008)

    Google Scholar 

  16. Kang, X., Liang, Y.-C., Nallanathan, A.: Optimal Power Allocation for Fading Channels in Cognitive Radio Networks: Delay-Limited Capacity and Outage Capacity. In: IEEE Vehicular Technology Conference, VTC Spring 2008, pp. 1544–1548 (2008)

    Google Scholar 

  17. Goldsmith, A.: Wireless Communications. Cambridge University Press, Cambridge (2005)

    Book  Google Scholar 

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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Sun, J., Zhu, H. (2009). Time Scheduling Based on Tradeoff between Detection Performance and QoS Requirement. In: Sithamparanathan, K., Marchese, M. (eds) Personal Satellite Services. PSATS 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04260-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-04260-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04259-1

  • Online ISBN: 978-3-642-04260-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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