A cell based dynamic spectrum management scheme with interference mitigation for cognitive networks

Wireless Personal Communications

Volumn 49, Issue 2, 2009, Pages 275-293

  Le, Vanbien ^a   Feng, Zhiyong ^a   Bourse, Didier ^b   Zhang, Ping ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b Motorola Labs   (France)

Author keywords

Bargaining patience; Cognitive networks; Dynamic spectrum management; Game theory; Inter system interference; Profit

Indexed keywords

CELLULAR RADIO SYSTEMS; EARNINGS; GAME THEORY; HETEROGENEOUS NETWORKS; RESOURCE ALLOCATION; WIRELESS NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

BARGAINING PATIENCE; COGNITIVE NETWORKS; DYNAMIC SPECTRUM MANAGEMENT; INTER-SYSTEM INTERFERENCE; PROFIT;

NETWORK MANAGEMENT;

EID: 63049119063     PISSN: 09296212     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11277-008-9573-3     Document Type: Article

References (32)

1. Mitola, J., III. (1999, November). Cognitive radio for flexible mobile multimedia communications. Proceedings of Mobile Multimedia Conference. San Diego, CA, USA, (pp. 3-10).
2. Thomas, R. W., DaSilva, L. A., & MacKenzie, A. B. (2005, November). Cognitive networks. In Dynamic Spectrum Access Networks Conference, IEEE DySPAN. Baltimore, MD, USA, (pp. 352-360).
3. Giupponi, L., Agusti, R., Perez-Romero, J., & Sallent, O. (2006, November). An economic-driven joint radio resource management with user profile differentiation in a beyond 3G cognitive network. In Global Telecommunications Conference, GLOBECOM. San Francisco, CA, USA, (pp. 1-5).
4. Houze, P., et al. (2007, March). Dynamic spectrum allocation algorithm for cognitive networks. In Wireless and Mobile Communications, International Conference on Wireless and Mobile Communications, ICWMC. Guadeloupe, French Caribbean.
5. E2R Deliverable D5.3 (2005, April) Algorithms and performance, including FSM & RRM/network planning. http://e2r2.motlabs.com/.
6. Niyato, D., & Hossain, E. (2007, March). A game-theoretic approach to competitive spectrum sharing in cognitive radio networks. In Wireless Communications and Networking Conference, WCNC. Hong Kong, (pp. 16-20).
7. Xing Y. et al. (2007, April). Dynamic spectrum access with QoS and interference temperature constraints. In IEEE Transactions on Mobile Computing, 6(4), 423-433.
8. Leaves, P., et al. (2002, May). Dynamic spectrum allocation in hybrid networks with imperfect load prediction. In 3G Mobile Communication Technologies. London, United Kingdom, (pp. 444-448).
9. Leaves, P., et al. (2001, March). Dynamic spectrum allocation in a multi-radio environment: concept and algorithm. In 3G Mobile Communication Technologies. London, United Kingdom, (pp. 53-57).
10. Leaves, P., Moessner, K., & Tafazolli, R. (2004, May). Dynamic spectrum allocation in composite reconfigurable wireless networks. In IEEE Communications Magazine, 42(5), 72-81.
11. Grandblaise, D., et al. (2003, October). Reconfigurability support for dynamic spectrum allocation: From the DSA concept to implementation. In Mobile Future and Symposium on Trends in Communications. Bratislava, Czech, (pp. 9-12).
12. IST-1999-12515 Project DriVE (Dynamic Radio for IP-Services in Vehicular Environments). http://www.ist-drive.org/. Accessed Jan 2006.
13. 2R II (End-to-End Reconfigurability phase 2). http://e2r2.motlabs.com/. Accessed Aug 2007.
14. ICT-2007-216284 Project E3 (End-to-End Efficiecy). https://www.ict-e3.eu/ . Accessed April 2008.
15. Denis, A. R. (2007, August). Structural support for cognitive radio system deployment. In Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM. Orlando, FL, USA, (pp. 401-407).
16. Join, T. M. (2007). A survey of spectrum utilization in Chicago. http://wemin.ece.iit.edu/publications/spectrum.pdf/. Accessed March 2008.
17. Ji, Z., & Liu, K. J. R. (2006, September). Belief-assisted pricing for dynamic spectrum allocation in wireless networks with selfish users. In Sensor and Ad Hoc Communications and Networks, SECON. Reston, VA, USA.
18. Zhao, J., Zheng, H., & Yang, G.-H. (2005, November). Distributed coordination in dynamic spectrum allocation networks. In New Frontiers in Dynamic Spectrum Access Networks, DySPAN. Baltimore, MD, USA, (pp. 259-268).
19. Q. Zhao L. Tong A. Swami Y. Chen 2007 Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework IEEE Journal on Selected Areas in Communications (April) 25 3 599 600 10.1109/JSAC.2007. 070409
20. Thilakawardana, D., & Moessner, K. (2006, April). A cell-by-cell dynamic spectrum allocation in multi-radio environment. European Wireless Conference. Athens, Greece.
21. Chung, Y.-L., & Tsai, Z. (2006, September). Modeling and analysis of dynamic spectrum allocation of two wireless communication systems. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. Helsinki, Findland, (pp. 1-5).
22. Pan, M. et al. (2006, November). A novel market competition based dynamic spectrum management scheme in reconfigurable systems. In IEEE International Conference in Communication Systems, ICCS. Singapore, (pp. 1-5).
23. Pan, M. et al. (2006, October). A novel bargaining based dynamic spectrum management scheme in reconfigurable systems. In International Conference on Systems and Networks Communications, ICSNC. Tahiti, French Polynesia.
24. Rubinstein A., Osborne M. (1990) Bargaining and markets. Academic Press, San Diego
25. Osborne M. (2004) An introduction to game theory. Oxford University Press, Oxford
26. Jeffrey, A. (2005). Mathematics for engineers and scientists (6th ed.). Boca Raton, FL: CRC Press, 2005.
27. 3GPP TR 25.942 V5.3.0 (2004, June). Radio frequency (RF) system scenarios (Release 5).
28. ETSI EN 300 910 V8.5.1 (2000, November). Radio transmission and reception (Release 1999).
29. 3GPP TS 25.104 V6.15.0 (2007, March). Base station (BS) radio transmission and reception (FDD) (Release 6).
30. ETSI EN 300 744 V1.1.2. (1997, August). Digital video broadcasting (DVB): Framing structure, channel coding and modulation for digital terrestrial television.
31. Almeida, S., Queijo, J., & Correia, L. M. (1999, September). Spatial and temporal traffic distribution models for GSM. In IEEE Vehicular Technology Conference, VTC. Amsterdam, Netherlands, (pp. 131-135).
32. Kiefl B. (1998) What will we watch? A forecast of TV viewing habits in 10 years. The Advertising Research Foundation, New York, USA