Future mobile networks are envisioned to have critical limitations in terms of latency, energy
usage, capacity and network resources since these networks are expected to become …

Recently, mobility has gathered tremendous interest as the users' desire for consecutive
connections and better quality of service has increased. An accurate prediction of user …

Future mobile networks are rightly expected to face the prospect of limited available
resources. Continuous technological advances and growing number of mobile devices …

Mobile networks are expected to face major problems such as low network capacity, high
latency, and limited resources but are expected to provide seamless connectivity in the …

Mobility prediction, one of the key enablers of proactive self-organizing networks, aims at
efficient management of future cellular networks, which are envisaged to be extremely …

Human mobility prediction is of great importance in a wide range of modern applications in
different fields such as personalized recommendation systems, the fifth-generation (5G) …

It is envisaged that the future cellular networks (5G) will be able to meet the promising
capacity and quality of experience requirements through extreme network densification and …

In this work, we study a novel mobility prediction algorithm based on past long-term and
short-term trajectories of users. In particular, we perceive the regularity of users' movements …

The prediction of an individual's future locations is a significant part of scientific researches.
While a variety of solutions have been investigated for the prediction of future locations …

Existing mobility prediction algorithms focus on predicting the next cell or interesting regions
such as a home zone. But for position-and movement-based optimization of transmission in …