Impacts of human mobility in mobile data offloading

Due to the limited coverage of WiFi APs, users’ mobility has a severe impact on the performance of mobile offloading systems. The present study is a contribution in this context as offloading zones are identified and characterized from individual GPS trajectories when small offloading time windows are considered. The results show that (i) attending to users mobility, ten seconds is the minimum offloading time window that can be considered; (ii) offloading predictive methods can have variable performance according to the period of the day; and (iii) per-user opportunistic decision models can determine offloading system design and performance.S2MovingCity (CMUPERI/TIC/0010/2014) and UID/EEA/50008/2013 funded by the applicable financial framework (FCT/MCTES) (PIDDAC) and the FCT grant PD/BD/113820/201