Stackelberg game for utility-based cooperative cognitive radio networks

Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)

Volumn , Issue , 2009, Pages 23-31

  Zhang, Jin ^a   Zhang, Qian ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Cognitive radio; Cooperative transmission; Dynamic spectrum access; Stackelberg game

Indexed keywords

ACCESS TIME; ANALYTICAL RESULTS; CHANNEL ACCESS; COGNITIVE RADIO; COGNITIVE RADIO NETWORK; COGNITIVE RADIO TECHNOLOGIES; COOPERATIVE COMMUNICATION; COOPERATIVE RELAY; COOPERATIVE TRANSMISSION; DATA TRANSMISSION; DYNAMIC SPECTRUM ACCESS; NASH EQUILIBRIUM POINT; NUMERICAL RESULTS; PRIMARY TRANSMISSION; SECONDARY SYSTEM; SPECTRUM UTILIZATION; STACKELBERG GAMES; TRANSMISSION RATES; WHOLE SYSTEMS; WIRELESS MEDIA; WIRELESS USERS;

AD HOC NETWORKS; COMPUTER SCIENCE; MOBILE AD HOC NETWORKS; RADIO TRANSMISSION; SPECTROSCOPY; TELECOMMUNICATION NETWORKS; TRANSMISSIONS;

RADIO BROADCASTING;

EID: 70450247234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1530748.1530753     Document Type: Conference Paper

References (16)

1. I. M. A. Goldsmith, S. A. Jafar and S. Srinivasa. Breaking spectrum gridlock with cognitive radios: An information theoretic perspective. Proceedings of the IEEE, invited, to appear 2008.
2. G. Debreu. A social equilibrium existence theorem. Proc. Nat. Acad. Science, 38.
3. N. Devroye, P. Mitran, and V. Tarokh. Achievable rates in cognitive radio channels. Information Theory, IEEE Transactions on, 52(5):1813-1827, May 2006.
4. Z. Han, Z. Ji, and K. Liu. Fair multiuser channel allocation for ofdma networks using nash bargaining solutions and coalitions. Communications, IEEE Transactions on, 53(8):1366-1376, Aug. 2005.
5. J. Huang, R. Berry, and M. Honig. Auction-based spectrum sharing. Mobile Networks and Applications, 11(3):405-408, June 2006.
6. Z. Ji and K. Liu. Cognitive radios for dynamic spectrum access - dynamic spectrum sharing: A game theoretical overview. Communications Magazine, IEEE, 45(5):88-94, May 2007.
7. J. Jiang and Y. Xin. On the achievable rate regions for interference channels with degraded message sets. Information Theory, IEEE Transactions on, 54(10):4707-4712, Oct. 2008.
8. P. J. Kolodzy. Cognitive radio fundamentals. SDR Forum, Singapore, April.
9. H. Lin, M. Chatterjee, S. K. Das, and K. Basu. Arc: An integrated admission and rate control framework for competitive wireless cdma data networks using noncooperative games. IEEE Transactions on Mobile Computing, 4(3):243-258, 2005.
10. I. Maric, R. Yates, and G. Kramer. Capacity of interference channels with partial transmitter cooperation. Information Theory, IEEE Transactions on, 53(10):3536-3548, Oct. 2007.
11. G. R. Neel J, Reed JH. The role of game theory in the analysis of software radio networks. SDR forum technical conference, San Diego, California, Nov.
12. G. Owen. Game Theory. Academic Press, 2005.
13. O. Simeone, I. Stanojev, S. Savazzi, Y. Bar-NessU. Spagnolini, and R. Pickholtz. Spectrum leasing to cooperating secondary ad hoc networks. Selected Areas in Communications, IEEE Journal on, 26(1):203-213, Jan. 2008.
14. G. Stamoulis, D. Kalopsikakis, and A. Kyrikoglou. Efficient agent-based negotiation for telecommunications services. Global Telecommunications Conference, 1999. GLOBECOM '99, 3 :1989-1996 vol.3, 1999.
15. D. H. von Seggern. CRC Standard Curves and Surfaces with Mathematica, Second Edition (Chapman & Hall/Crc Applied Mathematics and Nonlinear Science). Chapman & Hall/CRC, 2006.
16. R. Yates. A framework for uplink power control in cellular radio systems. Selected Areas in Communications, IEEE Journal on, 13(7):1341-1347, Sep 1995.