c under different scenarios. Therefore, it can be concluded that the proposed PS models can provide sufficiently accurate estimation for the required link bandwidth for elastic traffic to meet a desired application QoS. Investigation of the Dimensioning Rules After demonstrating the analytical approach for dimensioning the lub link, the analytical dimensioning approach can be used to investigate the dimensioning rules. In the following, several examples are presented to demonstrate the applicability of the analytical approaches for deriving dimensioning rules. Figure 6.39 illustrates the normalized capacity as a function of the offered traffic load (link throughput) with different QoS targets (three different target delay factors f = 1.1, 1.3 and 1.6). Figure 6.40 presents the normalized capacity over traffic load with various peak rates (RAB types). Figure 6.41 shows the results for different traffic mixes (elastic web traffic mixed with circuit-switched voice traffic in different percentages). The voice traffic is transmitted with a higher priority over the lub link than the web traffic, and the lub link is completely shared between web traffic and voice traffic. 6 Dimensioning for Single ATM-Based lub f 1.1 f 1.3 f 1.6 Traffic load (kbps) Figure 6.39: Capacity vs. traffic load (with different delay factors): web scenario, constant page size of 12kbyte, RAB 128 kbps, no CAC RAB 384kbps RAB 128kbps RAB 64kbps Traffic load (kbps) Figure 6.40: Capacity vs. traffic load (with different peak rates): web scenario, constant page size of 12kbyte, target delay factor f = 1.5 for all RABs, no CAC It can be observed from these figures that an improved multiplexing gain is achieved for larger traffic load as the overdimensioning factor approaches one for increasing traffic load. The graph in Figure 6.39 depicts the dependency of the required link capacity on the delay factor: the higher the desired delay factor, the lower is the QoS requirement, and thus the less bandwidth is required. The influence of the peak rate on the