Survey of automated fare collection solutions in public transportation

M Bieler, A Skretting, P Büdinger… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Public transportation is expensive to operate and maintain and is often unsatisfactory. The
attractiveness of public transportation can be enhanced by making it more seamless, which …

Big data driven hidden Markov model based individual mobility prediction at points of interest

Q Lv, Y Qiao, N Ansari, J Liu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
With the emergence of smartphones and location-based services, user mobility prediction
has become a critical enabler for a wide range of applications, like location-based …

Evaluating the privacy properties of telephone metadata

J Mayer, P Mutchler, JC Mitchell - Proceedings of the …, 2016 - National Acad Sciences
Since 2013, a stream of disclosures has prompted reconsideration of surveillance law and
policy. One of the most controversial principles, both in the United States and abroad, is that …

AI-enabled mobile multimedia service instance placement scheme in mobile edge computing

P Roy, S Sarker, MA Razzaque, MM Hassan… - Computer Networks, 2020 - Elsevier
Leveraging cloud infrastructure to the mobile edge computing helps the mobile users to get
real time multimedia services in Fifth Generation (5G) network system. To ensure higher …

A hybrid Markov-based model for human mobility prediction

Y Qiao, Z Si, Y Zhang, FB Abdesslem, X Zhang, J Yang - Neurocomputing, 2018 - Elsevier
Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …

A destination and mobility path prediction scheme for mobile networks

A Nadembega, A Hafid, T Taleb - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Mobile multimedia services are gaining great momentum among subscribers of mobile
networks (MNs). An understanding of the network traffic behavior is essential in the evolution …

Multi-agent deep reinforcement learning for coordinated multipoint in mobile networks

S Schneider, H Karl, R Khalili… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Macrodiversity is a key technique to increase the capacity of mobile networks. It can be
realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple …

Handover count based velocity estimation and mobility state detection in dense HetNets

A Merwaday, I Güvenç - IEEE Transactions on Wireless …, 2016 - ieeexplore.ieee.org
In wireless cellular networks with densely deployed base stations, knowing the velocities of
mobile devices is key to avoiding call drops and improving the quality of service to the user …

Energy-saving predictive resource planning and allocation

C Yao, C Yang, Z Xiong - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Predictive resource allocation is an emerging approach to improve the performance of
mobile systems as human behavior is reported predictable by leveraging big data analytics …

Towards to intelligent routing for DTN protocols using machine learning techniques

SCK Tekouabou, Y Maleh, A Nayyar - Simulation Modelling Practice and …, 2022 - Elsevier
The communication protocols of wireless networks have experienced great advances in
recent years, specifically with the evolution of new technologies such as the Internet of …