Geo-based Mobility Control for Mobile Traffic Simulators
Most mobile traffic simulators of today depend on the user to supply the mobility behavior of the simulated UEs. This becomes a problem when certain wanted mobility characteristics are to be tested, since the user have to go trough a trial-and-error procedure to come up with the proper mobility behavior. This thesis presents two approaches to mobility control, where the aim is to control UE mobility based on certain mobility characteristics supplied by the end user.
The first approach introduces the concept of assigning tasks to UEs, e.g. “cross cell border” or “move to a certain cell”. Furthermore, concepts from control theory are borrowed to control the task assignment process, making it more dynamic and robust.
The second approach iteratively calculate movement patterns for the UEs in an area until it finds a movement pattern that has a high probability of satisfying the user’s requested mobility characteristics.
In order to properly evaluate these two approaches a prototype simulator was developed, as well as a virtual network controller to be tested. This test environment simulate a simplified tree network topology.
Both approaches was tested to control the total number of handovers per second in a simulated area. They both show high accuracy and acceptable precision. Additionally, the task based approach was used to control the cell utilization in a target cell. However, the cell utilization tests showed a lower accuracy and precision than the handover rate control tests.
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