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Dynamic spectrum access based on interruptible spectrum leasing

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Abstract

Dynamic spectrum access (DSA) based on interruptible spectrum leasing allows secondary users (SUs) to lease a licensed, but idle, spectrum that is owned by primary users (PUs) on condition that the PUs preempt the access to the leased spectrum. This paper considers a DSA scenario where the SUs opportunistically use the primary spectrum in addition to their own band and the PUs use their own band regardless of the opportunistic access. This operating scenario can contribute to leverage the spectrum utilization by exploiting underutilized spectrum resources, but involves a problem that the SUs may be forced to interrupt on-going services in response to the PUs’ reclamation of the leased spectrum. In this paper, we address the optimal call admission control (CAC) problem in order to coordinate the DSA based on interruptible spectrum leasing by considering the tradeoff between the additional spectrum use and the penalty on the service interruption. To this end, we adopt the profit of the secondary wireless service provider as a cost function of the CAC policy in a market mechanism manner. The optimization problem is modeled as a profit maximization problem, and a linear programming (LP) formulation of the semi-Markov decision process approach is provided. Through the simulation results, we analyze the LP solution of the optimal CAC for the leasing based DSA and demonstrate that the proposed CAC policy judiciously uses the access opportunities of the SUs considering the service interruption.

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References

  1. Buddhikot, M. (2007). Understanding dynamic spectrum access: Models, taxonomy and challenges. In Proceedings of IEEE symposium on new frontiers in dynamic spectrum access networks, pp. 649–663.

  2. Marcus, M. (2005). Real time spectrum markets and interruptible spectrum: New concepts of spectrum use enabled by cognitive radio. In Proceedings of IEEE symposium on new frontiers in dynamic spectrum access networks, pp. 512–517.

  3. Li, B., Lin, C., & Chanson, S. (1998). Analysis of a hybrid cutoff priority scheme for multiple classes traffic in multimedia wireless networks. Springer Wireless Networks, 4(4), 279–290.

    Article  Google Scholar 

  4. Choi, S., & Shin, K. (2002). Adaptive bandwidth reservation and admission control in QoS-sensitive cellular networks. IEEE Transactions on Parallel and Distributed Systems, 13(9), 882–897.

    Article  Google Scholar 

  5. Zhu, X., Shen, L., & Yum, T. (2007). Analysis of cognitive radio spectrum access with optimal channel reservation. IEEE Communications Letters, 11(4), 304–306.

    Article  Google Scholar 

  6. Tand, S., & Mark, B. (2007). Performance analysis of a wireless network with opportunistic spectrum sharing. In Proceedings of IEEE global communications conference, pp. 4636–4640.

  7. Ahmed, M. (2005). Call admission control in wireless networks: a comprehensive survey. IEEE Communications Surveys and Tutorials, 7(1), 49–68.

    Article  Google Scholar 

  8. Ghaderi, M., & Boutaba, R. (2006). Call admission control im mobile cellular networks: A comprehensive survey. Wiley Wireless Communications and Mobile Computing, 6(1), 69–93.

    Article  Google Scholar 

  9. Wang, Q., & Brown, T. (2007). Public safety and commercial spectrum sharing via network pricing and admission control. IEEE Journal on Selected Areas in Communications, 25(3), 622–632.

    Article  MathSciNet  Google Scholar 

  10. Yu, F., Zhang, J., Tang, H., Chan, H., & Leung, V. (2009). Enhancing interoperability in heterogeneous mobile wireless networks for disaster response. IEEE Transactions on Wireless Communications, 8(5), 2424–2433.

    Article  Google Scholar 

  11. FCC. (2008). Service rules for the 698–746, 747–762 and 777–792 band; implementing a nationwide, broadband, interoperable public safety network in the 700 MHz band. FCC Docket No. 08-230 (Third Further Notice of Proposed Rulemaking).

  12. Blom, R., Bruin, P., Eman, J., Folke, M., Hannu, H., Naslund, M., et al. (2008) Public safety communication using commercial cellular technology. In Proceedings of IEEE International conference on next generation mobile applications, servnices and technologies, pp. 291–296.

  13. Tijms, H. (1986). Stochastic modelling and analysis: A computational approach. Chichester: Wiley.

    Google Scholar 

  14. Hillier, F., & Lieberman, G. (2010). Introduction to operations research. New York: McGraw-Hill.

    Google Scholar 

  15. Holma, H., & Toskala, A. (2004). WCDMA for UMTS: Radio access for third generation mobile communications. Chichester: Wiley.

    Google Scholar 

  16. UMTS Forum. (1998). UMTS/IMT-2000 Spectrum. UMTS Forum Report No. 6.

  17. Zhang, Y. (2008). Dynamic spectrum access in cognitive radio wireless networks. In Proceedings of IEEE international conference on communications, pp. 4927–4932.

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Acknowledgments

This work was supported by the ETRI R&D Program of MKE (Ministry of Knowledge Economy), Korea [KI001869, Research on Environment-Adaptive Autonomous Technologies for Mobile Wireless Access].

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Correspondence to Sooyeol Im.

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Im, S., Jeon, H., Kim, S. et al. Dynamic spectrum access based on interruptible spectrum leasing. Wireless Netw 18, 763–770 (2012). https://doi.org/10.1007/s11276-012-0431-6

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