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 …

Mobility prediction is an important solution to enable seamless handovers in cellular
networks and the mobility trace is the main information used to perform it. However, using …

User mobility prediction can be exploited in cellular networks for different purposes, such as
enhancing the handover process, proactive resource allocation, proactive load balancing …

The developments of Information and Communication Technology (ICT) and Internet of
Things (IoT) are being used to enhance quality, performance and interactivity of urban …

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 …

In this paper we propose a new approach for mobility prediction. It is based on the notion of
mobile-user profile which corresponds to frequent similar movements of a user. Such a …

Understanding and predicting human mobility is a crucial component of transportation
planning and management. In this paper we propose a new model to predict the location of …

As wireless networks have been widely deployed for public mobile services, predicting the
location of a mobile user in wireless networks became an interesting and challenging …

This paper proposes mobility prediction technique via Markov Chains with an input of
user’ s mobile data traces to predict the user’ s movement in wireless network. The …

Nowadays mobile communication is growing fast in the 5G communication industry. With the
increasing capacity requirements and requirements for quality of experience, mobility …