A Stackelberg Game for Power Control and Channel Allocation in Cognitive Radio Networks

ACM International Conference Proceeding Series

Volumn , Issue , 2007, Pages

  Bloem, Michael ^a   Alpcan, Tansu ^b   Başar, Tamer ^a  

^a University of Illinois at Urbana Champaign   (United States)

^b DEUTSCHE TELEKOM LABORATORIES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

GAME THEORY; MATLAB; POWER CONTROL; RADIO SYSTEMS; RADIO TRANSMISSION;

CHANNEL ALLOCATION; COGNITIVE RADIO NETWORK; CONTROL ALLOCATION; EXACT POTENTIAL GAME; FREQUENCY SPECTRA; POWER CHANNELS; POWER-CONTROL; STACKELBERG GAMES; VIRTUAL PRICE; WIRELESS COMMUNICATIONS;

COGNITIVE RADIO;

EID: 84982682481     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/gamecomm.2007.2040     Document Type: Conference Paper

References (18)

1. Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies (ET docket no. 03-108). Technical report, Federal Communications Commission, Washington, DC, December 2003. http://hraunfoss.fcc.gov/edocs public/attachmatch/FCC-03-322A1.pdf.
2. I. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty. NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks, 50:2127–2159, May 2006.
3. T. Alpcan and T. Başar. A hybrid systems model for power control in multicell wireless data networks. Performance Evaluation, 57:477–495, May 2004.
4. T. Alpcan, T. Başar, and R. Srikant. CDMA uplink power control as a noncooperative game. Wireless Networks, 8:569–670, Nov. 2002.
5. T. Alpcan, X. Fan, T. Başar, M. Arcak, and J. T. Wen. Power control for multicell CDMA wireless networks: A team optimization approach. In Proc. 3rd Int. Symp. on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt’07), pages 379–388, Trentino, Italy, April 2005.
6. E. Altman, T. Başar, and R. Srikant. Nash equilibria for combined flow control and routing in networks: Asymptotic behavior for a large number of users. IEEE Transactions on Automatic Control, 47(6), June 2002.
7. T. Başar and G. J. Olsder. Dynamic Noncooperative Game Theory. SIAM, Philadelphia, PA, 2nd edition, 1999.
8. T. Başar and R. Srikant. Revenue-maximizing pricing and capacity expansion in a many-users regime. In Proc. of IEEE Infocom, pages 294–301, New York, NY, June 2002.
9. Defense Advanced Research Projects Agency. The next generation program, 2005. http://www.darpa.mil/sto/smallunitops/xg.html.
10. E.Altman and Z. Altman. S-modular games and power control in wireless networks. IEEE Transactions on Automatic Control, 48(5), May 2003.
11. B. Fette. Cognitive Radio Technology. Newnes, Burlington, MA, 1st edition, 2006.
12. F. P. Kelly, A. K. Maulloo, and D. K. H. Tan. Rate control for communication networks: Shadow prices, propotional fairness, and stability. Journal of the Operational Research Society, 49:237–252, 1998.
13. R. Maheswaran and T. Başar. Effecient signal proportional allocation ESPA mechanisms: Decentralized social welfare maximization for divisible resources. IEEE Journal on Selected Areas in Communications, 24(5):1000–1009, May 2006.
14. J. Mitola, III. Cognitive Radio Architecture. John Wiley & Sons, Inc., Hoboken, NJ, 1st edition, 2006.
15. J. Neel, R. Menon, J. H. Reed, and A. B. MacKenzie. Using game theory to analyze physical layer cognitive radio algorithms. In Proc. of The Economics, Technology and Policy of Unlicensed Spectrum, page unknown, East Lansing, MI, May 2005.
16. J. O. Neel, J. H. Reed, and R. P. Gilles. Convergence of cognitive radio networks. In Proc. of IEEE Wireless Communications and Networking Conference, pages 2250– 2255, Atlanta, GA, March 2004.
17. N. Nie and C. Comaniciou. Adaptive channel allocation spectrum etiquitte for cognitive radio networks. Mobile Networks and Applications, 11:779–797, 2006.
18. N. Nie and C. Comaniciu. Adaptive channel allocation spectrum etiquette for cognitive radio networks. Mobile Networks and Applications, 11(6):779–797, Dec. 2006.