Impact of Correlated Group Mobility Modelling in the Context of Realistic Mobile Network Simulation Scenarios

User mobility in mobile radio networks strongly affects the performance of the whole system. Thus, it is of upmost importance to model mobility patterns as realistically as possible. Several publications w. r. t. individual (realistic) user movements have been made. However, especially in urban scenarios, user mobility is often correlated. In public transportation systems (metro, bus, etc.) the motion of many users is bound to the same vehicle, leading to a far different system performance (e.g. cell load, number of handovers, etc.). Therefore, a new correlated group mobility model is presented in this paper. Results show that the system performance compared to individual user movements is significantly different.