The vast amounts of mobile communication data collected by mobile operators can provide
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …

Mobility prediction is a powerful tool for network operators to optimize network performance.
From cell level, if network operators know the cells to which the users will be connected in …

Individual's location has play a very important role in mobile network, predicting user's next
location in advance has a great effect on optimize network resource and improve user …

The deployment of cost-effective small cells to create ultra-high-density (UDN)
heterogeneous networks in 5 G networks has emerged as a potentially effective strategy for …

In this work, we propose a hybrid approach to synchronize large scale networks. In
particular, we draw on Kalman Filtering (KF) along with time-stamps generated by the …

In this work, we propose a hybrid Bayesian approach towards clock offset and skew
estimation, thereby synchronizing large scale networks. In particular, we demonstrate the …

In this work, we study the joint synchronization and localization (sync&loc) of Mobile Nodes
(MNs) in ultra dense networks. In particular, we deploy an asymmetric time-stamp exchange …

Geolocation technology is the most exciting area of advancement in 5G, leveraging massive
sources of accurate location data to provide users with effective location-positioning services …

The growing number of Wi-Fi users and the emergence of bandwidth-intensive services
have necessitated an increase in Access Point (AP) density, resulting in more complex …

Recently, mobility prediction researches attracted increasing interests, especially for mobile
networks where nodes are free to move in the threedimensional space. Accurate mobility …