 number of supported simultaneously RRC-connected and scheduled users SO that each of the users has the required control channel capacity. In case control channel capacity is not adequate there can be massive amount of call setup rejections which typically cause huge increase in capacity requests (rejected capacity request is simply re-attempted by the UE until it gets the requested capacity) which in turn cause interference increase. Load balancing can distribute the load, that is, users, evenly between different carriers and this should be done without any additional increase of signalling load, that is, preferably without handover signalling (this in case target carrier coverage measurements are not needed and handover to the target cell can be done blindly). This can be achieved via RRC connection release within which the target frequency layer is indicated to the UE. The users can also be distributed between the same frequency cells using handover thresholds but here we must keep in mind that the UE should always be connected to the cell that provides the smallest path loss. Therefore the handover thresholds-based tuning can only be used to move users from one cell to another when at the cell edge. It should be noted that all examples in this chapter are from 10 and 20 MHz FD LTE deploy- ments (actual carrier frequency varies between 700, 800, 900, 1800, 2100 and 2600 MHz) with 2x2 multiple-input multiple-output (MIMO) in downlink and 2Rx in uplink. Also the eNodeB transmission power per sub-carrier is the same for all carrier bandwidths unless otherwise stated. Capacity Optimization Traffic Profiles in Mass Events The uplink data volume increases heavily during the mass events most likely due to the social media usage to share the event experience and automatic cloud backup of photos taken. A mass event area's uplink and downlink data volumes per subscriber during normal day (2 days prior the event) and during the mass event day are shown in Figure 13.2. The uplink data volume per subscriber increases more 