ppropriate bandwidths for the individual links in the network for satisfying a given delay factor. Moreover, the simulation results again verify that the applied M/G/R-PS model in the dimensioning approaches can predict the achievable application QoS accurately and thus can be used for dimensioning links and networks for elastic traffic for a guaranteed user relevant application QoS. The selection of a proper dimensioning approach for mobile network operators depends on the required application QoS level and the overall network costs. The suggested approach (1) is only suitable for the case with small end-to-end delay factors. Approach (2) can be used for the case with large target delay factors, but it has low overbooking gain over the backbone link. Approach (3) is proven to be a general dimensioning solution, which can work sufficiently well for different ranges of target delay factors and is also capable of attaining overbooking on the backbone link. Therefore considering its wide applicability, good accuracy, and ability of overbooking for optimizing network cost-efficiency, approach (3) is recommended in this thesis to be applied in general for dimensioning networks. 8.4 Dimensioning for Elastic Traffic in IP-Based UTRAN This section presents analytical approaches for dimensioning an IP based multi-lub UTRAN transport network for elastic traffic. In the considered IP lub transport network, a DiffServ-based QoS architecture is deployed for QoS support and traffic management. The fundamental idea of the proposed dimensioning approaches are the same as the ones developed for the ATM based UTRAN presented in section 8.3.2, but the applied processor sharing models are based on the ones extended for a DiffServ-based IP RAN which are presented in section 7.3 for the single lub link dimensioning. The following section 8.4.1 describes the detailed analytical approaches and the complete procedures for dimensioning the IP based multi-lub UTRAN. The corresponding validation results are presented in section 8.4.2. 8 Dim