Skip to main content
Log in

On Multi Agent based modeling and control in large scale wireless communication systems for improved resource allocation performance

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

The goal of this paper is to investigate the application of the Multi Agent technology in modeling and simulating large scale wireless communication systems. There are very few studies using the multi agent concept as an alternative approach for designing and simulating resource allocation in cellular systems and especially in large scale ones. Thus, a novel modeling methodology of wireless network services exploiting multi agent technology and investigating in depth critical agent issues is proposed in this paper. It is shown that the multi agent concept proves to be a suitable solution for modeling and implementing cellular network services simulation even in the case of large scale wireless networks. The whole investigation is divided in two phases: (a) multi agent modeling analysis and (b) multi agent model development for controlling network performance. Simulation results show the effectiveness of the proposed multi agent model when is applied in combination with the state of the art event scheduling mechanism.

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. Bodanese, E. L. (2000). A distributed channel allocation scheme for cellular networks using intelligent software agents. Unpublished Doctoral dissertation, University of London, UK.

  2. Bigham, J., & Du, L. (2003). Cooperative negotiation in a MultiAgent system for RealTime load balancing of a mobile cellular network. In AAMAS’03, July (pp. 14–18).

    Google Scholar 

  3. Brown, R. (1988). Calendar queues: a fast O (1) priority queue implementation for the simulation event set problem. Communications of the ACM, 31(10), 1220–1227.

    Article  Google Scholar 

  4. Cheng, M., Li, Y., & Du, D. Z. (2005). Combinatorial optimization in communication networks. Berlin: Springer.

    Google Scholar 

  5. Cherriman, P., Romiti, F., & Hanzo, L. (1998). Channel allocation for third-generation mobile radio systems. In ACTS’98 (Vol. 1, pp. 255–261).

    Google Scholar 

  6. Ekdahl, B. (2001). How autonomous is an autonomous Agent. In Proceedings of the 5th conference on systemic, cybernetics and informatics (SCI 2001), Orlando, USA

    Google Scholar 

  7. Godara, L. C. (1997). Applications of antenna arrays To mobile communications. Part I. Performance improvement, feasibility, and system considerations. Proceedings of the IEEE, 85(7).

  8. Grace, D. (1998). Distributed dynamic channel assignment for the wireless environment. Unpublished doctoral dissertation, University of York.

  9. Haas, H. (2000). Interference analysis of and dynamic channel assignment algorithms in TD–CDMA/TDD systems. Unpublished doctoral dissertation, University of Edinburg.

  10. Hollos, D., Karl, H., & Wolisz, A. (2004). Regionalizing global optimization algorithms to improve the operation of large ad hoc networks. In Proceedings of the IEEE wireless communications and networking conference, Atlanta, Georgia, USA

    Google Scholar 

  11. Huhns, M., & Singh, M. (Eds.) (1998). Agents and multiagent systems: themes, approaches, and challenges. Readings in agents, Kaufmann, Los Altos (pp. 1–23).

  12. Iraqi, Y., & Boutaba, R. (2000). A multi-agent system for resource management in wireless mobile multimedia networks. Lecture notes in computer science: Vol. 1960 (pp. 218–229). Berlin: Springer.

    Google Scholar 

  13. Katzela, I., & Naghshineh, M. (1996). Channel assignment schemes for cellular mobile telecommunication systems: a comprehensive survey. IEEE Personal Communications, 3, 10–31.

    Article  Google Scholar 

  14. Lee, W. C., Lee, J., & Huff, K. (1999). On simulation modeling of information dissemination systems in mobile environments. In Lecture notes in computer science: Vol. 1748 (pp. 45–57).

    Google Scholar 

  15. Norman, T., & Long, D. (1995). Goal creation in motivated agents. In M. Wooldridge & N. R. Jennings (Eds.), Lecture notes in artificial intelligence: Vol. 890. Intelligent agents: theories, architectures, and languages.

    Google Scholar 

  16. Papazoglou, P. M., Karras, D. A., & Papademetriou, R. C. (2008). An improved multi-agent simulation methodology for modeling and evaluating wireless communication systems resource allocation algorithms. Journal of Universal Computer Science, 14(7), 1061–1079.

    Google Scholar 

  17. Papazoglou, P. M., Karras, D. A., & Papademetriou, R. C. (2008). On the multi-threading approach of efficient multi-agent methodology for modeling cellular communications bandwidth management. In Lecture notes in computer sciences: Vol. 4953. 2nd KES symposium on agent and multi-agent systems (pp. 431–443).

    Google Scholar 

  18. Russell, S., & Norvig, P. (2002). Artificial intelligence: a modern approach (2nd ed.). New York: Prentice Hall.

    Google Scholar 

  19. Splunter, S., Wijngaards, N., & Brazier, F. (2003). Structuring agents for adaptation. In E. Alonso et al. (Ed.), Lecture notes in artificial intelligence: Vol. 2636. Adaptive agents and multi-agent Systems (pp. 174–186).

    Chapter  Google Scholar 

  20. Salgado, H., Sirbu, M., & Peha, J. (1995). Spectrum sharing through dynamic channel assignment for open access to personal communications services. In Proc. of IEEE intl. communications conference (ICC) (pp. 417–422).

    Chapter  Google Scholar 

  21. Tripathi, N. D., Jeffrey, N., Reed, H., & VanLandingham, H. F. (1998). Handoff in cellular systems. IEEE personal communications.

  22. Wong, S. H. (2003). Channel allocation for broadband fixed wireless access networks. Unpublished doctorate dissertation, University of Cambridge.

  23. Wooldridge, M. (2004). An introduction to MultiAgent systems. New York: Wiley.

    Google Scholar 

  24. Wooldridge, M., & Jennings, N. R. (1995). Intelligent agents: theory and practice. Knowledge Engineering Review, 10(2), 115–152.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. A. Karras.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Papazoglou, P.M., Karras, D.A. & Papademetriou, R.C. On Multi Agent based modeling and control in large scale wireless communication systems for improved resource allocation performance. Telecommun Syst 52, 1657–1675 (2013). https://doi.org/10.1007/s11235-011-9658-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-011-9658-2

Keywords

Navigation