Share This Article:

Game Theoretic Analysis of Joint Rate and Power Allocation in Cognitive Radio Networks

DOI: 10.4236/ijcns.2009.21001    4,361 Downloads   8,962 Views   Citations

ABSTRACT

Spectrum sharing is an essential enabling functionality to allow the coexistence between primary user (PU) and cognitive users (CUs) in the same frequency band. In this paper, we consider joint rate and power allocation in cognitive radio networks by using game theory. The optimum rates and powers are obtained by iteratively maximizing each CU’s utility function, which is designed to guarantee the protection of primary user (PU) as well as the quality of service (QoS) of CUs. In addition, transmission rates of some CUs should be adjusted if corresponding actual signal-to-interference-plus-noise ratio (SINR) falls below the target SINR. Based on the modified transmission rate for each CU, distributed power allocation is introduced to further reduce the total power consumption. Simulation results are provided to demonstrate that the proposed algorithm achieves a significant gain in power saving.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

D. LI, X. DAI and H. ZHANG, "Game Theoretic Analysis of Joint Rate and Power Allocation in Cognitive Radio Networks," International Journal of Communications, Network and System Sciences, Vol. 2 No. 1, 2009, pp. 1-7. doi: 10.4236/ijcns.2009.21001.

References

[1] Federal Communications Commission, “Spectrum Policy Task Force,” Reports, ET Docket No. 02-135, November 2002.
[2] J. Mitola and G. Q. Maguire, “Cognitive radio: Making software radios more personal,” IEEE Personal Communications, Vol. 6, No. 4, pp. 13–18, August 1999.
[3] J. Mitola, “Cognitive radio: An integrated agent architecture for software defined radio,” Tekn. Dr. dissertation, Royal Institute of Technology (KTH), Stockholm, Sweden, 2000.
[4] S. Haykin, “Cognitive radio: Brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications, Vol. 23, No. 2, pp. 201-220, February 2005.
[5] J. Neel, R. Menon, J. H. Reed, and A. B. MacKenzie, “Using game theory to analyze physical layer cognitive radio algorithms,” [Online], available: http://web.syr.edu/~ejhumphr/.
[6] H. Li, Y. Gai, Z. He, K. Niu, and W. Wu, “Optimal power control game algorithm for cognitive radio networks with multiple interference temperature limits,” in Proceedings of IEEE Vehicular Technology Conference, pp. 1554-1558, May 2008.
[7] M. Hayajneh and C. T. Abdallah, “Distributed joint rate and power control game-theoretic algorithms for wireless data,” IEEE Communications Letters, Vol. 8, No. 8, pp. 511–513, August 2004.
[8] M. R. Musku, A. T. Chronopoulos, and D. C. Popescu, “Joint rate and power control with pricing,” in Proceedings of IEEE Global Telecommunications Conference, pp. 3466-3470, November 2005.
[9] M. R. Musku, A. T. Chronopoulos, and D. C. Popescu, “Joint rate and power control using game theory,” in Proceedings of IEEE Consumer Communications and Networking Conference, pp. 1258-1262, January 2006.
[10] L. Guo, P. Wu, and S. Cui, “Power and rate control with dynamic programming for cognitive radios,” in Proceedings of IEEE Global Telecommunications Conference, pp. 1699-1703, November 2007.
[11] M. Hong, J. Kim, H. Kim, and Y. Shin, “An adaptive transmission scheme for cognitive radio systems based on interference temperature model,” in Proceedings of IEEE Consumer Communications and Networking Conference, pp. 69-73, January 2008.
[12] G. J. Foschini and Z. Miljanic, “A simple distributed autonomous power control algorithm and its convergence,” IEEE Transactions on Vehicular Technology, Vol. 42, No. 4, pp. 641-646, November 1993.
[13] IEEE 802.22 Working Group on Wireless Regional Area Networks, http://www.ieee802.org/22.
[14] T. ElBatt and A. Ephremides, “Joint scheduling and power control for wireless ad hoc networks,” IEEE Transactions on Wireless Communications, Vol. 3, No. 1, pp. 74-85, January 2004.
[15] T. S. Rappaport, Wireless communications principles and practice, Prentice Hall Inc., 1996.

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.