New Concept Platforms for QoS Management in Future Telecommunication Scenarios

In this paper the concept of “Situation&Location” based platforms for QoS management in next-generation heterogeneous telecommunication scenarios is presented. The exploitation of a Multi-Agent System is investigated with the aim of providing a user with seamless and optimized network access to the desired service based on its current situation and location. Key feature of the proposed system is the presence of a middleware platform exploiting user profile-, resource-, and situation-management agents whose ontology is specified in XML language. The proposed platform is intended as a sample architecture for QoS control and adaptation. It tries to contribute to the research activities that several forums, interest groups, and standardization bodies are conducting in the view of 4G system full deployment.

[1]  Fabio Dovis,et al.  A hybrid positioning algorithm for cellular radio networks by using a common rake receiver architecture , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[2]  Klara Nahrstedt,et al.  QoS-aware middleware for ubiquitous and heterogeneous environments , 2001, IEEE Commun. Mag..

[3]  Antonio Iera,et al.  WAQM: managing QoS in wireless networks by means of an XML-based multiagent system , 2007, Int. J. Wirel. Mob. Comput..

[4]  Gang Wu,et al.  End-to-end QoS provisioning in mobile heterogeneous networks , 2004, IEEE Wirel. Commun..

[5]  T. Nakamura,et al.  Context-Aware Construction of Ubiquitous Services , 2001 .

[6]  Iakovos S. Venieris,et al.  End-to-end QoS specification issues in the converged all-IP wired and wireless environment , 2004, IEEE Communications Magazine.

[7]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[8]  Henk Eertink,et al.  Ubiquitous Attentiveness - Enabling Context-Aware Mobile Applications and Services , 2003, EUSAI.

[9]  Antonio Iera,et al.  Adaptively controlling the QoS of multimedia wireless applications through "user profiling" techniques , 2003, IEEE J. Sel. Areas Commun..

[10]  Antonio Iera,et al.  An Access Network Selection Algorithm Dynamically Adapted to User Needs and Preferences , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[11]  John N. Tsitsiklis,et al.  Introduction to linear optimization , 1997, Athena scientific optimization and computation series.

[12]  Anders Eriksson,et al.  Providing quality of service in always best connected networks , 2003, IEEE Commun. Mag..

[13]  Victor O. K. Li,et al.  Utility-oriented adaptive QoS and bandwidth allocation in wireless networks , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[14]  Klara Nahrstedt,et al.  QoS specification languages for distributed multimedia applications: a survey and taxonomy , 2004, IEEE MultiMedia.

[15]  César A. Mantilla,et al.  A QoS Framework for Heterogeneous Wireless Networks using a Multiagent System , 2003 .

[16]  Dipankar Raychaudhuri,et al.  Soft QoS control in the WATMnet broadband wireless system , 1999, IEEE Wirel. Commun..

[17]  Wolfgang Kellerer,et al.  I-centric communications: personalization, ambient awareness, and adaptability for future mobile services , 2004, IEEE Communications Magazine.

[18]  Morris Sloman,et al.  A survey of quality of service in mobile computing environments , 1999, IEEE Communications Surveys & Tutorials.