Browse > Article

Biform Game Based Cognitive Radio Scheme for Smart Grid Communications  

Kim, Sungwook (Department of Computer Science, Sogang University)
Publication Information
Abstract
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.
Keywords
Biform game; cognitive radio (CR) networks; cooperative spectrum sensing; egalitarian bargaining model; evolutionary game theory; smart grid;
Citations & Related Records
연도 인용수 순위
  • Reference
1 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.
2 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.
3 A. Brandenburger and H. Stuart, "Biform games," Manage. Sci. 53, vol. 7, pp. 537-549, 2007.
4 H. W. Stuart Jr., "Biform analysis of inventory competition," Manuf. Service & Operations Manage., vol. 7, no. 4, pp. 347-359, 2005.   DOI
5 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.   DOI
6 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.
7 N. Ghasemi and S.M. Hosseini, "Comparison of smart grid with cognitive radio: Solutions to spectrum scarcity," in Proc. ICACT, 2010, pp. 898-903.
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.   DOI   ScienceOn
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.   DOI
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.   DOI   ScienceOn
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.   DOI   ScienceOn