Mobility estimation in cellular networks

OData support
Supervisor:
Dr. Fazekas Péter
Department of Networked Systems and Services

In the near future, where great amount of data must be transferred in wireless environment, for example watching HD streams on a tablet, making video calls on a smart phone or playing real-time MMORPG games on a Laptop on the bus, fast and secure data transfer is essential. For the "4th generation" LTE standard one of the requirements to be accomplished is seamless handover. At a handover it takes time for the target eNodeB to allocate the necessary resources needed, and for the data packages to travel from the previous serving eNodeB to the new one. This is because in LTE soft handover isn't implemented. Because of this rerouting and resource allocation, handover latency is a big issue, and results in plus data transfer and more cost for the service provider. One way to speed up handovers is to predict the movement of the user. To be able to predict movement, we first need to locate the user. In this thesis I will first demonstrate some positioning technique then some of the movement prediction methods. Last I will describe my own algorithm and evaluate its result by the simulator software.

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