Biform Game Based Cognitive Radio Scheme for Smart Grid Communications

  • Kim, Sungwook (Department of Computer Science, Sogang University)
  • 투고 : 2012.05.08
  • 발행 : 2012.12.31

초록

Smart grid is widely considered to be a next generation power grid, which will be integrated with information feedback communications.However, smart grid communication technologies are subject to inefficient spectrum allocation problems. Cognitive radio networks can solve the problemof spectrumscarcity by opening the under-utilized licensed bands to secondary users. In this paper, adaptive cognitive radio spectrum sensing and sharing algorithms are developed for smart grid environments. Simulation results are presented to demonstrate the effectiveness of the proposed scheme in comparison with other existing schemes.

키워드

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

References

  1. R. Deng, S. Maharjan, X. Cao, J. Chen, Y. Zhang, and S. Gjessing, "Sensing-delay tradeoff for communication in cognitive radio enabled smart grid," in Proc. IEEE SmartGridComm, 2011, pp. 155-160.
  2. N. Ghasemi and S.M. Hosseini, "Comparison of smart grid with cognitive radio: Solutions to spectrum scarcity," in Proc. ICACT, 2010, pp. 898-903.
  3. D. Li, Y. Xu, J. Liu, X. Wang, and Z. Han, "A market game for dynamic multi-band sharing in cognitive radio networks," in Proc. IEEE ICC, 2010, pp. 1-5.
  4. J. Liu, L. Shen, T. Song, and X.Wang, "Demand-matching spectrum sharing game for non-cooperative cognitive radio network," in Proc. WCSP, 2009, pp. 1-5.
  5. A. Brandenburger and H. Stuart, "Biform games," Manage. Sci. 53, vol. 7, pp. 537-549, 2007.
  6. H. W. Stuart Jr., "Biform analysis of inventory competition," Manuf. Service & Operations Manage., vol. 7, no. 4, pp. 347-359, 2005. https://doi.org/10.1287/msom.1050.0090
  7. B. Wang, K. J. R. Liu, and T. C. Clancy, "Evolutionary cooperative spectrum sensing game: How to collaborate?" IEEE Trans. Commun., vol. 58, no. 3, pp. 890-900, 2010. https://doi.org/10.1109/TCOMM.2010.03.090084
  8. Y. Kim, W. Kim, H. You, S. Lee, and H. Lee, "Group-based management for cooperative spectrum sensing in cognitive radio networks," in Proc. ICACT, 2010, pp. 119-123.
  9. D. S. Menasche, D. R. Figueiredo, and E. de Souzae Silva, "An evolutionary game-theoretic approach to congestion control," Performance Evaluation, vol. 62, iss. 1-4, pp. 295-312, 2005. https://doi.org/10.1016/j.peva.2005.07.028
  10. C. Long, Q. Zhang, B. Li, H. Yang, and X. Guan, "Non-cooperative power control for wireless ad hoc networks with repeated games," IEEE J. Sel. Areas Commun., vol. 25, no. 6, pp. 1101-1112, Aug. 2007. https://doi.org/10.1109/JSAC.2007.070805
  11. S. Kim, "An adaptive online power control scheme based on the evolutionary game theory," IET Commun., vol. 5, no. 18, pp. 2648-2655, 2011. https://doi.org/10.1049/iet-com.2011.0093
  12. J. E. Suris, L. A. DaSilva, Z. Han, and A. B. MacKenzie, "Cooperative game theory for distributed spectrum sharing," in Proc. IEEE ICC, June 2007, pp. 5282-5287.
  13. E. Altman, R. El-Azouzi, Y. Hayel, and H. Tembine, "An evolutionary game approach for the design of congestion control protocols in wireless networks," in Proc. Physicomnet Workshop, Apr. 2008, pp. 1-6.
  14. P. A.Matt, F. Toni, and D. Dionysiou, "The distributed negotiation of egalitarian resource allocations," in Proc. COMSOC, 2006, pp. 304-316.
  15. W. Bossert and G. Tan, "An arbitration game and the egalitarian bargaining solution," Social Choice and Welfare, vol. 12, no. 1, pp. 29-41, 1995.
  16. S. Kim, "Stackelberg game-based power control scheme for efficiency and fairness tradeoff," IEICE Trans. Commun., vol. E94-B, no. 8, pp. 2427-2430, Aug. 2011. https://doi.org/10.1587/transcom.E94.B.2427