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Scheduling in a Spectrum-Sharing Cognitive Environment Under Outage Probability Constraint

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Abstract

This article investigates a multiuser cognitive environment where secondary users compete to communicate over a channel licensed to a primary user using spectrum sharing. In this environment, both the primary and secondary users transmit to the same receiver unit, and the transmission power of the scheduled secondary user should satisfy the outage probability requirement of the primary user. Secondary users are ranked according to their channel strength, and performance measures are derived as a function of a generic channel rank. Bit error rate, channel capacity, and generated interference are investigated as performance measures. In addition, the performance of the proportional fair, random selection, and round-robin scheduling algorithms are investigated. Numerical results are presented to verify the theoretical analysis and investigate the effects the parameters of the communication environment have on the performance measures and the transmission power of the cognitive users.

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References

  1. Federal Communications Commission. Spectrum policy task force report. ET Docket No. 02-135, November 2002.

  2. Mitola, J. (2000). Cognitive radio: An integrated agent architecture for software defined radio. PhD thesis, Royal Institute of Technology (KTH), Stockholm, Sweden.

  3. Le, H. S. T., & Liang, Q. (2007). An efficient power control scheme for cognitive radios. In IEEE wireless communications and networking conference (WCNC), pp. 2559–2563.

  4. Hamdi, K., Zhang, W., & Letaief, K. B. (2007). Power control in cognitive radio systems based on spectrum sensing side information. In IEEE international conference on communications (ICC), pp. 5161–5165.

  5. Kang, X., Zhang, R., Liang, Y.-C., & Garg, H. K. (2009). Optimal power allocation for cognitive radio under primary user’s outage loss constraint. In IEEE international conference on communications (ICC), pp. 1–5.

  6. Zhang, R., Cui, S., & Liang, Y.-C. (2008). On ergodic sum capacity of fading cognitive multiple-access channel. In Forty-sixth annual Allerton conference, pp. 879–886.

  7. Ban T. W., Choi W., Jung B. C., Sung D. K. (2009) Multi-user diversity in a spectrum sharing system. IEEE Transactions on Wireless Communications 8: 102–106

    Article  Google Scholar 

  8. Li D. (2011) Efficient power allocation for multiuser cognitive radio networks. Wireless Personal Communications 59: 589–597

    Article  Google Scholar 

  9. Ekin, S., Yilmaz, F., Celebi, H., Qaraqe, K., Alouini, M.-S., & Serpedin, E. (2009). Achievable capacity of a spectrum sharing system over hyper fading channels. In IEEE global communications conference (GLOBECOM), pp. 1–6.

  10. Li D. (2010) Performance analysis of uplink cognitive cellular networks with opportunistic scheduling. IEEE Communications Letters 14: 827–829

    Article  Google Scholar 

  11. Farraj, A. K., Miller, S. L., & Qaraqe, K. A. (2011). Queue performance measures for cognitive radios in spectrum sharing systems. In IEEE international workshop on recent advances in cognitive communications and networking (RACCN)—Global telecommunications conference (GLOBECOM) workshop, pp. 997–1001.

  12. Farraj, A. K., & Hammad, E. M. (2012). Performance of primary users in spectrum sharing cognitive radio environment. Wireless Personal Communications. doi:10.1007/s11277-011-0469-2.

  13. Farraj, A. K., & Hammad, E. M. (2012). Impact of quality of service constraints on the performance of spectrum sharing cognitive users. Wireless Personal Communications, doi:10.1007/s11277-012-0606-6.

  14. Goldsmith A. (2005) Wireless communication. Cambridge University Press, Cambridge

    Book  Google Scholar 

  15. Miller S. L., Childers D. G. (2004) Probability and random processes: With applications to signal processing and communications. Elsevier Academic Press, Amsterdam

    MATH  Google Scholar 

  16. Papoulis A., Pillai S. U. (2002) Probability, random variables, and stochastic processes . McGraw-Hill, New York

    Google Scholar 

  17. Sklar B. (1988) Digital communications: Fundamentals and applications. Prentice Hall, New Jersey

    MATH  Google Scholar 

  18. Cover T. M., Thomas J. A. (1991) Elements of information theory. Wiley, New Jersey

    Book  MATH  Google Scholar 

  19. Tse D., Viswanath P. (2005) Fundamentals of wireless communication. Cambridge University Press, Cambridge

    Book  MATH  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA

    Abdallah K. Farraj & Scott L. Miller

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  1. Abdallah K. Farraj
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  2. Scott L. Miller
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Correspondence to Abdallah K. Farraj.

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Farraj, A.K., Miller, S.L. Scheduling in a Spectrum-Sharing Cognitive Environment Under Outage Probability Constraint. Wireless Pers Commun 70, 785–805 (2013). https://doi.org/10.1007/s11277-012-0722-3

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  • DOI: https://doi.org/10.1007/s11277-012-0722-3

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