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Power Allocation Schemes For Downlink Cognitive Radio Networks With Opportunistic Sub-channel Access

  • Xu, Ding (Key Laboratory of Universal Wireless Communications, Ministry of Education Beijing University of Posts and Telecommunications) ;
  • Feng, Zhiyong (Key Laboratory of Universal Wireless Communications, Ministry of Education Beijing University of Posts and Telecommunications) ;
  • Zhang, Ping (Key Laboratory of Universal Wireless Communications, Ministry of Education Beijing University of Posts and Telecommunications)
  • Received : 2012.02.02
  • Accepted : 2012.06.19
  • Published : 2012.07.31

Abstract

This paper considers a downlink cognitive radio (CR) network where one secondary user (SU) and one primary user (PU) share the same base station (BS). The spectrum of interest is divided into a set of independent, orthogonal subchannels. The communication of the PU is of high priority and the quality of service (QoS) is guaranteed by the minimum rate constraint. On the other hand, the communication of the SU is of low priority and the SU opportunistically accesses the subchannels that were previously discarded by the PU during power allocation. The BS assigns fractions ?? and 1 ?? of the total available transmit power to the PU and the SU respectively. Two power allocation schemes with opportunistic subchannel access are proposed, in which the optimal values of ??'s are also obtained. The objective of one scheme is to maximize the rate of the SU, and the objective of the other scheme is to maximize the sum rate of the SU and the PU, both under the PU minimum rate constraint and the total transmit power constraint. Extensive simulation results are obtained to verify the effectiveness of the proposed schemes.

Keywords

References

  1. S. Force, "Spectrum policy task force report," Federal Communications Commission ET Docket 02, vol.135, 2002.
  2. I. Mitola, J. and J. Maguire, G.Q., "Cognitive radio: making software radios more personal," IEEE Personal Commun. Mag., vol.6, no.4, pp.13-18, Aug.1999. https://doi.org/10.1109/98.788210
  3. S. Haykin, D. Thomson, and J. Reed, "Spectrum sensing for cognitive radio," in Proc. of the IEEE, vol.97, no.5, pp.849-877, May.2009.
  4. S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol.23, no.2, pp.201-220, Feb.2005.
  5. S. M. Almalfouh and G. L. Stuber, "Interference-aware power allocation in cognitive radio networks with imperfect spectrum sensing," in Proc. of IEEE International Conference on Communications, pp.1-6, May.2010.
  6. S. Srinivasa and S. Jafar, "Soft sensing and optimal power control for cognitive radio," IEEE Trans. Wireless Commun., vol.9, no.12, pp.3638-3649, Dec.2010. https://doi.org/10.1109/TWC.2010.100110.081079
  7. C. Sun, Y. Alemseged, H. N. Tran, and H. Harada, "Transmit power control for cognitive radio over a rayleigh fading channel," IEEE Trans. Veh. Technol., vol.59, no.4, pp.1847-1857, May.2010. https://doi.org/10.1109/TVT.2009.2037913
  8. E. Peh, Y.-C. Liang, Y. L. Guan and Y. Zeng, "Power control in opportunistic spectrum access cognitive radio with sensing information at transmitter," in Proc. of IEEE International Conference on Communications, pp.1-5, Jun.2011.
  9. S. Stotas and A. Nallanathan, "On the throughput maximization of spectrum sharing cognitive radio networks," in Proc. of IEEE Global Telecommunications Conference, pp. 1-5, Dec.2010.
  10. X. Kang, H. Garg, Y.-C. Liang, and R. Zhang, "Optimal power allocation for OFDM-based cognitive radio with new primary transmission protection criteria," IEEE Trans. Wireless Commun., vol.9, no.6, pp.2066-2075, Jun.2010. https://doi.org/10.1109/TWC.2010.06.090912
  11. X. Kang, R. Zhang, Y.-C. Liang, and H. Garg, "Optimal power allocation strategies for fading cognitive radio channels with primary user outage constraint," IEEE J. Sel. Areas Commun., vol.29, no.2, pp.374-383, Feb.2011.
  12. S. Huang, X. Liu, and Z. Ding, "Distributed power control for cognitive user access based on primary link control feedback," in Proc. IEEE International Conference on Computer Communications, pp. 1-9, Mar.2010.
  13. A. Limmanee, S. Dey, and J. Evans, "Service-outage capacity maximization in cognitive radio," in Proc. of IEEE International Conference on Communications, pp.1-6, Jun.2011.
  14. D. Xu, Z. Y. Feng, Y. Z. Li, and P. Zhang, "Optimal power control of cognitive radio under sinr constraint with primary user's cooperation," IEICE Trans. Commun., vol.94, no.09, pp.2685-2689, 2011.
  15. D. Xu, Z. Y. Feng, Y. Z. Li, and P. Zhang, "Outage probability minimizing power/rate control for cognitive radio multicast networks," in Proc. of IEEE Global Telecommunications Conference, Dec.2011.
  16. M. Simon and M. Alouini, Digital communication over fading channels. Wiley-IEEE Press, 2005, vol. 86.
  17. D. Li, "Performance analysis of uplink cognitive cellular networks with opportunistic scheduling," IEEE Commun. Lett., vol.14, no.9, pp.827-829, 2010. https://doi.org/10.1109/LCOMM.2010.072910.100962
  18. H. Ding, J. Ge, D. da Costa, and Z. Jiang, "Energy-efficient and low-complexity schemes for uplink cognitive cellular networks," IEEE Commun. Lett., vol.14, no.12, pp.1101-1103, 2010. https://doi.org/10.1109/LCOMM.2010.101210.101493
  19. S. Boyd and L. Vandenberghe, Convex optimization. Cambridge, U.K.: Cambridge Univ. Press, 2004.
  20. J.F. Traub and A. G. Werschulz, Complexity and information. Cambridge, U.K.: Cambridge Univ. Press, 1998.