ncing strategy helps the multitechnology operator to optimize the use of their investments. Also, having a clear criteria for serving different types of traffic in certain network layer helps to ensure the capacity and service performance for mobile network subscribers. For these tasks, a centralized approach over the entire network area helps in minimizing the effort and time spent on load balancing. Load balancing in LTE focuses mostly on air interface load balancing between different cells, between cells on the same of different frequency, and between different technology cells. Real-time load sharing is controlled with the handover triggering parameters and thresholds. The local optimization is based on real-time measurements. There is also centralized support for load balancing in order to follow and ensure the adequate capacity in each network layer. Typically, the network management system collects the actual network statistics of load, handover, and cell performance and defines different criteria for these statistics based on the type of cell. Typically, the central SON optimizer tool should be able to use the centralized information in other tools and analyze the load and handover performance against the actual parameters. The optimizer tool should be able to detect the cells continuously having high loads cells that are soon to reach the capacity limits and cells that experience the handover ping-pong effect and need optimization to improve the overall situation. SON and Self-healing Self-healing is one of the most important aspects of SON. There are various features that facilitate the self-healing aspect of SON, such as handover optimization, load balancing, cell outage detection and compensation, energy saving, among others. Each self-organization use case or feature involves fine tuning and optimization of a set of parameters in a network element. The main goal for this parameter tuning is to enable self-configuration, self-optimization, and self-healing for the individual network elements or for th