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This work proposes a novel group mobility model that takes into account the interactions between players during a soccer match in order to generate realistic mobility patterns. The model is compared to existing solutions by analyzing the generated mobility patterns and their resemblance to the expected trajectories of players during a match. The analysis highlights the capability of the proposed model...
In this letter we discuss the exploitation of aggregated mobility patterns in mobile networks including heterogeneous multiple access techniques. We advocate the use of knowledge about neighboring devices to create routing groups (RGs) of adjacent nodes in order to optimize radio resource management. Basically, RGs consist of aggregated logical structures which are built and maintained at the application...
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