Joint Power Control and Spectrum Allocation for Cognitive Radio with QoS Constraint

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DOI: 10.4236/cn.2010.21005   PDF   HTML     4,365 Downloads   8,139 Views   Citations

Abstract

Spectrum sharing with quality of service (QoS) requirement and power constraint on cognitive users is studied. The objective is to maximize the system throughput. This problem is modeled as a mixed integer nonlinear programming problem and then transformed to a continuous nonlinear programming problem through eliminating integer variables. We propose the joint power control and spectrum allocation algorithm based on particle swarm optimization to obtain the global optimal solution. Simulation results show that the proposed method can achieve higher system throughput and spectrum utilization under the constraints of transmit power and QoS requirement.

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Z. Zhao, Z. Peng, Z. Zhao and S. Zheng, "Joint Power Control and Spectrum Allocation for Cognitive Radio with QoS Constraint," Communications and Network, Vol. 2 No. 1, 2010, pp. 38-43. doi: 10.4236/cn.2010.21005.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] J. Mitola, “The software radio architecture,” IEEE Communications Magazine, 1995.
[2] J. Mitola and G. Q. Maguire, “Cognitive radio: making software radios more personal,” IEEE Pers. Commn, Vol. 6, pp. 13–18, 1999.
[3] J. Mitola, “Cognitive raido: an integrated agent architecture for softoware defined radio,” Doctor of Technology, Royal Institute Technology Stockholm, Sweden 2000.
[4] Federal Communications Commission, Spectrum policy task force, Report ET Docket, 2002.
[5] A. Ghasemi and E. S. Sousa, “Fundamental limits of spectrum sharing in fading environments,” IEEE Trans Wirel. Commun, Vol. 6, pp. 649–658, 2007.
[6] M. Sharma, A. Sahoo, and K. Nayak, “Channel selection under interference temperature model in multi-hop cognitive mesh networks,” Proceeding of IEEE DySPAN, 2007.
[7] B. Yang, Y. Y. Shen, and G. Feng, “Disttibuted power control and random access for spectrum sharing with QoS constraint,” Computer Communications, Vol. 31, pp. 4089–4097, 2008.
[8] M. Wylie-Green, “Dynamic spectrum sensing by multiband OFDM radio for interference mitigation,” Proceeding of IEEE DySPAN, pp. 619–625, November 2005.
[9] J. Kennedy and R. Eberhart, “Particle swarm optimization [A],” Proceeding of IEEE International Conference on Neural Networks, 1942–1948, 1995.
[10] Y. Shi and R. Eberhart, “A modified particle swarm optimizer,” Proceeding of the IEEE International Conference on Evolutionary Computation, pp. 69–73, 1998.
[11] Z. Michalewicz and N. F. Attia, “Evolutionary optimization of constrained problems,” Proceeding of CEP, pp. 98–108, 1994.

  
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