queuing models are suggested for the single traffic scenario. When combining elastic traffic with the circuit-switched traffic where a strict priority scheduling is applied, the proposed analytical queuing model is MMPP/D/1 or BMAP/D/1 with non-preemptive priority queuing. Dimensioning for a star-structured multi-lub RAN network Furthermore, the above analytical dimensioning models, which are proposed for the single link scenario, are extended to be applied to a star-structured multi-lub RAN network. One important issue for dimensioning a multi-lub RAN network is overbooking the backbone link, which is to allocate less bandwidth on the backbone link than the total bandwidth request by all the connected last mile links. Usually, the backbone link can be overbooked by taking advantage of statistical multiplexing gain among traffic from different Node Bs. For a cost- efficient dimensioning of the backbone link, an optimum overbooking is desired to provide balance between the costs and the QoS objectives. In this thesis, overbooking is investigated for a wide variety of scenarios through extensive simulations as well as by using the proposed analytical approach, with the objective to find an optimum overbooking. From the investigated results, important factors that have great impact on the overbooking are found. And furthermore the analytical models are applied to derive the optimum overbooking factor (which represents the degree of overbooking) for various network scenarios and validated with simulations. For all proposed analytical models in this thesis, the validations are performed through extensive simulations using the developed UMTS simulation models. From the presented validation results throughout the thesis, it can be demonstrated that for all relevant network scenarios, the proposed analytical approaches work sufficiently well. That means, the proposed analytical models are able to capture relevant characteristics and provide accurate dimensioning results, and thus can be applied for network dimensioning. 