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Research Frame Agreement

Third Generation Communication Networks presents a complex and wide plethora of problems to be studied. In particular, Radio Resource Management and related issues are key in order to have system efficiency and good performance, as it is expected to be brought on the market by wireless media in the next future.

In particular, within the general subject topic of 3G Wireless Systems, special focus has been given on the UMTS system. In particular the proposed project have analyzed the following issues:
  • IP multicast and streaming;
  • Resource negotiation and QoS management;
  • Call Admission Control;
  • Mobility support in 3G network;
  • Multi-access and multi-service networks.

For what concerns multicast services (MBMS), the goal was to explore how they can be delivered efficiently in a UMTS system, and in a manner satisfactory for the users. More specifically we propose solutions to cope with the wireless channel errors in the case of multicast data transmission. Moreover, error control algorithms for the MBMS service provisioning have been designed and their effectiveness over accurate channel traces has been proved. This allowed investigating the tradeoffs in terms of channel efficiency and system requirements.

Resource negotiation with QoS support was intended to study the management of the radio resource for the wireless link. This involves several issues at different time-scales. First of all, studies have been carried out to explore the possibility of parameter tuning, and how sensitive is the system performance to the variation of the systems.

Moreover, from a more general point-of-view, investigations have been led to study the QoS from the users\u2019 side, i.e., by considering approaches based on game theory for the above problem. This can be framed in different frameworks that involve e.g., Admission Control strategies (in which a dedicated satisfaction framework, involving blocking and dropping probability, has been proposed). In a more general approach, also considering fairness among different classes, users\u2019 mobility has been included. Finally, with a micro-economic approach called MEDUSA, RRM strategies like scheduling or rate assignment have been considered. This latter approach considers a service acceptance value for every user, with involves the trade-off between utility and price. Two possibilities for the analysis can be identified: evaluation of already existing algorithms and also identification of novel strategies in which the users\u2019 satisfaction is used as a goal function of an optimization problem.

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