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Exploiting diurnal user mobility for predicting cell transitions.

, , , and . GLOBECOM Workshops, page 293-297. IEEE, (2013)

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Exploiting diurnal user mobility for predicting cell transitions., , , and . GLOBECOM Workshops, page 293-297. IEEE, (2013)Dynamic Context-Aware Optimization of D2D Communications., , , , and . VTC Spring, page 1-5. IEEE, (2014)Exploiting Mobility Context Awareness in Cellular Networks for Assisting Vehicular Use Cases., , and . VTC-Fall, page 1-7. IEEE, (2018)5G Visualization: The METIS-II Project Approach., , , , , , , , , and . Mobile Information Systems, (2018)Robustness of Location Based D2D Resource Allocation against Positioning Errors., , , , , , , and . VTC Spring, page 1-6. IEEE, (2015)Prediction of Dynamic Crowd Formation in Cellular Networks for Activating Small Cells., , and . VTC Spring, page 1-5. IEEE, (2015)Mobility Context Awareness in Heterogeneous Networks to Enhance Multipath Communications., and . VTC Spring, page 1-6. IEEE, (2019)Post-resource sharing power allocation in cellular networks to coexist with D2D underlay., and . NOF, page 1-3. IEEE, (2016)Fuzzy Q-Learning for Mobility Robustness Optimization in wireless networks., , , and . GLOBECOM Workshops, page 76-81. IEEE, (2013)Mobility Prediction of Diurnal Users for Enabling Context Aware Resource Allocation., , and . VTC Spring, page 1-5. IEEE, (2016)