 results. The CAC reject ratio is derived from equation (6.6) and the link utilization is based on equation (6.8) and (6.9). The offered voice traffic is calculated with equation (6.16). The investigated scenario consists of one Node B over a single lub link to the RNC, where the available lub bandwidth is fixed to 1Mbps. It can be seen that with a limited lub bandwidth, the increased offered voice traffic results in a rising CAC reject ratio, but the link utilization increases to a maximum value and then stays constant. It shall be noticed that when the offered traffic is above 50% of the link bandwidth, the link utilization is slowly reaching the maximum value. This is the effect of CAC, to ensure the carried traffic on the lub interface is below the agreed grade of service level and prevent from the link overload. The link utilization is calculated with equation (6.8) and (6.9). Here the maximum link utilization is only around 0.8. This is due to that the configured reserved bandwidth of 12.4kbps for each voice channel is higher than the actual traffic generated by each voice call 6 Dimensioning for Single ATM-Based lub (in this example, each voice call creates 10.37kbps traffic on the ATM link in average). So in this example, as the reserved bandwidth overestimates the actual traffic load of each call, thus 20% link bandwidth cannot be utilized which leads to a waste of the transport resources. If configuring the reserved bandwidth for each connection equal to the amount of actual mean traffic generated by each call, then the obtained link utilization can reach 100%. By comparing the simulation results with the calculated values from the Erlang-B mode, it can be seen that for both CAC reject ratio and link utilization the analytical results match with the simulation results. Therefore, the Erlang-B model is shown to be an accurate model for the streaming traffic in a network using CAC, when the blocking probability is considered as the desired QoS requirements. CAC reject ratio over offered traffic lub link u