trated in Figure 7.23 and the corresponding results in Figure 7.24. Small Cell Interference Management Capacity gain of dynamic configuration over no eICIC @ 2 Mbps Area 1 Area 2 Area 3 Area 4 Figure 7.22 Capacity gain offered by fast dynamic eICIC in the four local areas The measurement has single macro cell, two pico cells and three UEs. UE C is always connected to macro cell. Also UEs A and B are connected to the macro cell without RE. When eICIC and RE are activated, UE A gets connected to pico cell A and UE B to pico cell B. Four different cases are illustrated: one case without eICIC and three cases with different amounts of ABS 25%, 50% and 75%. All three UEs share macro cell capacity without eICIC and UE C gets highest data rate since it is closest to the macro cell. When eICIC is activated with ABS 25%, UEs A and B get connected to the pico cells but can use only 25% of TTIs for the data reception. Therefore, the throughput of UEs A and B goes down. On the other hand, UE C Macro cell Pico cell A Pico cell B Figure 7.23 eICIC measurement setup LTE Small Cell Optimization No ABS ABS 25% ABS 50% ABS 75% Total throughput Figure 7.24 eICIC measurement results has more resource in the macro cell and its throughput goes up. When ABS share is increased to 50% and 75%, the pico cells can use more resources for UEs A and B while the macro cell has fewer resources for UE C. The total system throughput increases with higher ABS share, since two UEs can take the benefit of ABS by connecting to pico cells. Enhanced Coordinated Multipoint (eCoMP) FSS can avoid inter-cell interference with UE CQI reporting. Another approach would be to coordinate the multi-cell transmission between the base stations instead of relying on UE feedback. The coordination can use distributed architecture where the decisions are carried by eNodeBs and the information is exchanged over X2 interface. Another architecture option can use a new network element for centralized scheduler. The eNodeBs would provide load and interference information t