Advertisement

Wireless Personal Communications

, Volume 57, Issue 1, pp 19–31 | Cite as

Joint Bandwidth and Power Allocations for Cognitive Radio Networks with Imperfect Spectrum Sensing

  • Yuan WuEmail author
  • Danny H. K. Tsang
Article

Abstract

In this paper we study the joint bandwidth and power allocations for Cognitive Radio Networks (CRNs), which opportunistically operate on a set of channels unused by multiple Primary User (PU) Networks. Our objective is to minimize the total power allocation of all coexisting Secondary Users (SUs) and guarantee their Quality of Service (QoS) requirements. We consider the imperfect spectrum sensing of CRNs and adopt the interference constraint (in terms of the uplink interference constraint to PU Base Stations) to address PUs’ protection when miss-detection happens. We propose an efficient joint allocation algorithm to solve our problem and demonstrate its performance through sufficient numerical experiments.

Keywords

Cognitive radio networks Resource allocation Imperfect spectrum sensing 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Cheng P., Zhang Z., Chen H. H., Qiu P. (2008) Optimal distributed joint frequency, rate and power allocation in cognitive OFDMA systems. IET Communications 2(6): 815–826CrossRefGoogle Scholar
  2. 2.
    Wu, Y., & Tsang, D. H. K. (2009). Distributed power allocation algorithm for spectrum sharing cognitive radio networks with QoS guarantee. In Proceedings of IEEE INFOCOM’2009 (pp. 981–989), April 2009.Google Scholar
  3. 3.
    Akyildiz I. F., Lee W. Y., Vuran M. C., Mohanty S. (2008) A survey on spectrum management in cognitive radio networks. IEEE Communications Magazine 46(4): 40–48CrossRefGoogle Scholar
  4. 4.
    Acharya, J., & Yates, R. D. (2007). A framework for dynamic spectrum sharing between cognitive radios. In Proceedings of ICC’2007.Google Scholar
  5. 5.
    Tao, M., Liang, Y. C., & Zhang, F. (2008). Adaptive resource allocation for delay differentiated traffic in multiuser OFDM. In Proceedings of ICC’2006 Google Scholar
  6. 6.
    Hou Y. T., Shi Y., Sherali H. D. (2008) Spectrum sharing for multi-hop networking with cognitive radios. IEEE Journal of Selected Areas in Communications 26(1): 146–154CrossRefGoogle Scholar
  7. 7.
    Wang R., Lau V. K. N., Lv L. J., Chen B. (2009) Joint cross-layer scheduling and spectrum sensing for OFDMA cognitive radio systems. IEEE Transaction on Wireless Communications 8(6): 2410–2416CrossRefGoogle Scholar
  8. 8.
    Xiao L., Johansson M., Boyd S. P. (2004) Simultaneous routing and resource allocation via dual decomposition. IEEE Transactions on Communications 52(7): 1136–1144CrossRefGoogle Scholar
  9. 9.
    Wu, Y., & Tsang, D.H.K. Joint bandwidth and power allocations for cognitive radio networks with imperfect spectrum sensing, Technical Report, available at http://eez058.ee.ust.hk/publication/TechnicalReport_JointBandwidthandPowerAllocations.pdf.
  10. 10.
    Bertsekas D. P. (1999) Nonlinear programming (2nd ed.). Athena Scientific, Belmont, MAzbMATHGoogle Scholar
  11. 11.
    Bertsekas D. P., Tsitsiklis J. N. (1989) Parallel and distributed computation. Prentice-Hall, Englewood Cliffs, NJzbMATHGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  1. 1.Department of Electronic and Computer EngineeringHong Kong University of Science and TechnologyHong KongChina

Personalised recommendations