asing with the increased number of UEs. It is seen that when the number of users is above 10, the cell throughput starts decreasing. The reason of the reduced cell throughput is because the total requested traffic demand by all users is above the available shared radio resources, therefore there are in average more secondary UEs using 32kbps data rate in the system which results in a lower overall system throughput. Average Cell Throughput 1M 15s 3GPP FTP 100K 15s 50K 15s 10K 15s Number of UEs Figure A.14: Average cell throughput Noise Rise 1M 15s 3GPP FTP 100K 15s 50K 15s 10K 15s Number of UEs Figure A.15: Average noise rise Figure A.16 gives the results of the overall average ftp application throughput, which is calculated as an average among all HSUPA users and the throughput is measured for uploading a complete file (i.e. dividing the ftp file size by its respective uploading period). It indicates the achieved end user QoS. This figure demonstrates that for all traffic models more UEs in the cell results in a decreased overall application throughput. The reason is straightforward, that is the higher number of users in the cell sharing the radio resources, the less resource each user can get in average. By allocating a lower data rate to each UE, the A.15 Dimensioning for HSPA Traffic generated interference by each user is less and thus the total interference level can be controlled below the maximum allowed interference level. It is also seen that the obtained application throughput of using the ftp traffic model I is relatively low compared to the other traffic models, especially for above 10 UEs. This is due to the same reason that the traffic demand and user activity of the ftp traffic model I is rather high, and thus the produced interference by each user is large, SO the scheduler need to set lower data rate to control the interference level, therefore in this case SAG grants are sent more frequently to those UEs. Furthermore, the average throughput of each user gets further lower when there are more suc