The use of static system-level simulators is common practice for estimating the impact of re-planning actions in cellular networks.
In this paper, a modification of a classical static Long Term Evolution (LTE) simulator is proposed to estimate the Quality of
Experience (QoE) provided in each location on a per-service basis. The core of the simulator is the estimation of radio connection
throughput on a location and service basis. For this purpose, a new analytical performance model for the packet scheduling process
in a multi-service scenario is developed. Model parameters can easily be adjusted with information from radio connection traces
available in the network management system. The simulation tool is validated with a large trace dataset taken from a live LTE
network
