Skip to main content
Log in

A Cell Based Dynamic Spectrum Management Scheme with Interference Mitigation for Cognitive Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Future wireless systems are expected to be characterized by the coexistence of different radio access technologies (RATs) resulting in complex heterogeneous wireless environments. In parallel with this, the tremendous demand for spectrum has inspired the requirement of dynamic spectrum management (DSM). This paper aims at designing a cell based dynamic spectrum management (CBDSM) scheme to enhance the spectrum utilization and maximize the profit of operators in wireless heterogeneous networks. The system architecture and the functional modules supporting the CBDSM scheme are designed. As a fundamental issue in spectrum management, the inter-system interference issue is solved in the proposed CBDSM scheme. Furthermore, game theory, which is a potential tool for studying the distributed autonomous resource optimization algorithms, is applied to design a spectrum trading algorithm enabling the heterogeneous wireless networks to dynamically trade spectrum and to share the profit. In the algorithm, we take into account the economic value of the spectrum of wireless systems in order to guarantee the rationality for the spectrum trading. The simulation results show that the proposed CBDSM scheme effectively improves the spectrum utilization and the profit of operators while it reduces the mutual interference between wireless networks to a tolerable level.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  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.

    Google Scholar 

  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. IST-2005-027714 Project E2R 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. Zhao Q., Tong L., Swami A., Chen Y. (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. doi:10.1109/JSAC.2007.070409

    Google Scholar 

  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

    MATH  Google Scholar 

  25. Osborne M. (2004) An introduction to game theory. Oxford University Press, Oxford

    Google Scholar 

  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

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vanbien Le.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Le, V., Feng, Z., Bourse, D. et al. A Cell Based Dynamic Spectrum Management Scheme with Interference Mitigation for Cognitive Networks. Wireless Pers Commun 49, 275–293 (2009). https://doi.org/10.1007/s11277-008-9573-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-008-9573-3

Keywords

Navigation