 to the proposed analytical dimensioning approach presented in the preceding section (see Figure 8.13). With the calculated per link target delay factors of the last mile link, the dimensioning of each last mile link will be derived with the proposed processor sharing model that is extended for DiffServ for a single link presented in section 7.3.1. The M/G/R/N-PS model is used in this case as the analytical model for dimensioning. The final derived last mile link bandwidth is the bandwidth satisfying the target delay factor of every service class on that link. To validate the analytical results, simulations are performed. In the simulations, for each scenario the bandwidth of the last mile link will be adapted independently from the backbone link (i.e. configuring a sufficient bandwidth for the backbone link SO that fbb=1) until the required target delay factor of each service class on the last mile link can be met. Figure 8.14(b) evaluates the deviations of the calculated last mile link bandwidths with the simulated values. It can be seen clearly that for the last mile link the analytical dimensioning results based on the M/G/R/N-PS model fit quite well with the simulation results. The observed gap in the graph (b) is fairly small, with less than 10% relative error. Similar to the dimensioning of the last mile link, the M/G/R/N-PS model is also applied for dimensioning the backbone link, only that the maximum number of the elastic traffic flows on the backbone link is the sum of the maximum number of flows of each Node B, and the total amount of elastic traffic per service class traversing on the backbone link is the sum of the amount of traffic of that service class of each Node B (see Figure 8.13). For each scenario, a required minimum backbone link bandwidth is calculated, which satisfies the assigned target delay factor of each service class assigned to the backbone link. The analytically derived backbone link bandwidths are presented in Figure 8.15(a). To validate them, the dimensioning of the backbone link