Utility-Aware Cognitive Network Selections in Wireless Infrastructures
- 116 Downloads
Operators of wireless infrastructures should maintain their users “always-best-connected”. This concept means that applications should be offered to users at the best possible Quality of Service (QoS) level, taking into account profile, context and policy information. The profiles provide the user requirements and preferences, the terminal capabilities, and the application requirements. The policies provide the objectives, constraints imposed by various stakeholders, for instance the network operator (NO). The context of operation designates relevant applications, available networks and their QoS capabilities. The “always-best-connectivity” concept can be achieved by directing user terminals to the most appropriate networks of the heterogeneous infrastructure of the NO. In this respect, advanced terminal management functionality is required. This paper presents management mechanisms for utility-based cognitive network selections. The utility is used for expressing the user desire for a QoS level. Cognition mechanisms are applied for learning the QoS capabilities of candidate networks, and therefore increasing the reliability and seamlessness of the network selections. Extensive results are provided, which show the behaviour of the scheme in terms of network selections made, and computational effort required for the acquisition of the knowledge.
KeywordsHeterogeneous infrastructures Terminal management functionality Cognitive systems Always best connectivity
Unable to display preview. Download preview PDF.
- 2.International Telecommunication Union. (2001). Telecommunications standardization bureau (ITU-T), communications quality of service: A framework and definitions, Recommendation G1000.Google Scholar
- 3.International Telecommunications Union. (2003). Telecommunications standardization bureau (ITU-T), end-user multimedia QoS categories, Recommendation G1010.Google Scholar
- 4.Wireless World Research Forum (WWRF). (2010). http://www.wireless-world-research.org.
- 5.Project End-to-End Efficiency (E3). (2009). http://www.ict-e3.eu, 7th Framework Programme (FP7) of the European Commission, Information and Communication Technologies (ICT).
- 6.Third (3rd) Generation Partnership Project (3GPP). (2010). Web site www.3gpp.org.
- 7.Institute of Electrical and Electronics Engineers (IEEE). (2010). 802 Standards, www.ieee802.org.
- 8.WiMAX Forum. (2010). http://www.wimaxforum.org.
- 10.Demestichas, P., Katidiotis, A., Petromanolakis, D., & Stavroulaki, V. Management system for terminals in the wireless B3G world. Accepted for publication in the Wireless Personal Communications Journal.Google Scholar
- 14.Russell Stuart J., Norvig P.: Artificial intelligence: A modern approach. Prentice-Hall, New Jersey (2002)Google Scholar
- 15.Neapolitan, R. E. (2002). Learning Bayesian networks. Prentice Hall (series in artificial intelligence).Google Scholar
- 17.Open Mobile Alliance (OMA.) (2010). http://www.openmobilealliance.org.
- 18.Strassner J., Btrabsner J.: Policy-based network management: Solution for the next generation. Elsevier, Amsterdam (2003)Google Scholar
- 19.Von Neumann J., Morgenstern O.: Theory of games and economic behaviour. Wiley, New York (1944)Google Scholar
- 26.Demestichas P., Dimitrakopoulos G., Strassner J., Bourse D.: Introducing reconfigurability and cognitive networks concepts in the wireless world: Research achievements and challenges. IEEE Vehicular Technology Magazine 1(2), 33–39 (2006)Google Scholar
- 27.(2007, August). Cognitive wireless networks. Special Issue in IEEE Wireless Communications Magazine, 14(4).Google Scholar
- 28.Stavroulaki, V., Demestichas, P., Katidiotis, A., & Petromanolakis, D. (2007, June). Evolution in equipment management concepts: from reconfigurable to cognitive wireless terminals. In Proceedings of 16th IST mobile and wireless communications summit, Budapest, Hungary.Google Scholar
- 35.Perez-Romero, J., Sallent, O., Agusti, R., & Giupponi, L. (2007, April). A novel on-demand cognitive pilot channel enabling dynamic spectrum allocation. In Proceedings of 2nd international symposium on new frontiers in dynamic spectrum access networks 2007 (DySPAN 2007), Dublin, Ireland.Google Scholar
- 37.Tirole J.: The theory of industrial organization. MIT Press, Cambridge, MA (1998)Google Scholar