uration Area 1 Area 2 Area 3 Area 4 Figure 7.21 Gain in 5-percentile (cell edge) user throughput from using eICIC in the four local areas of a single macro cell. The highly irregular nature of the considered environment naturally calls for different eICIC parameter settings per area to unleash the full performance potential. We are therefore focusing on the cases where the ABS muting pattern is set either semi- statically per localized area or fast dynamically adjusted according to the algorithms outlined in Section 'Fast Dynamic eICIC'. Furthermore, dynamic load balancing at each connection setup is assumed, facilitating both intra- and inter-layer load balancing. Figure 7.21 shows the gain in the 5-percentile user throughput from using eICIC in different areas. As expected, also for this case there is an attractive additional benefit from using fast dynamic adjustment of ABS muting patterns in coherence with local conditions. The results show that the proposed algorithm for fast dynamic ABS muting control is able to adapt efficiently to the experienced conditions. Area 2 and Area 4 naturally experience the highest eICIC benefits due to the higher concentration of picos in those locations. Figure 7.22 shows the capacity gain for each of the four areas from using eICIC. In this context, the capacity is defined as the maximum offered capacity that can be tolerated, while still being able to serve at least 95% of the users with a minimum data rate of 2 Mbps. Hence, the capacity gain results express the additional traffic growth that can be accommodated per area by enabling dynamic eICIC with fast ABS adaptation. Also from these results it is visible how the benefit of eICIC varies from one area to another. Most prominent, the eICIC capacity is in excess of 100% for Area 4, meaning that a traffic growth of a factor of x2 can be tolerated in this area by enabling eICIC. eICIC Performance Measurements The following example illustrates eICIC benefit in action based on simple measurements. The measurement setup is illus