A deep stochastical and predictive analysis of users mobility based on Auto-Regressive processes and pairing functions

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Abstract

With the proliferation of connected vehicles, new coverage technologies and colossal bandwidth availability, the quality of service and experience in mobile computing play an important role for user satisfaction (in terms of comfort, security and overall performance). Unfortunately, in mobile environments, signal degradations very often affect the perceived service quality, and predictive approaches become necessary or helpful, to handle, for example, future node locations, future network topology or future system performance. In this paper, our attention is focused on an in-depth stochastic micro-mobility analysis in terms of nodes coordinates. Many existing works focused on different approaches for realizing accurate mobility predictions. Still, none of them analyzed the way mobility should be collected and/or observed, how the granularity of mobility samples collection should be set and/or how to interpret the collected samples to derive some stochastic properties based on the mobility type (pedestrian, vehicular, etc.). The main work has been carried out by observing the characteristics of vehicular mobility, from real traces. At the same time, other environments have also been considered to compare the changes in the collected statistics. Several analyses and simulation campaigns have been carried out and proposed, verifying the effectiveness of the introduced concepts.

Index Terms

Mobile networking
Mobility
Prediction
Quality of service
Stability
Correlation function
Pairing functions

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Peppino Fazio was born 1977 in Italy, he received the PhD. degree in Electronics and Communications Engineering, University of Calabria (UNICAL - Italy) in 2008 and completed his habilitation as Associate Professor in 2017, after being an Assistant Professor at DIMES Dept. (UNICAL) until 2016. He is co-author of 98 papers (32 in International Journals, 63 in Conference Proceedings and 3 Book Chapters), all indexed in Scopus and/or WoS. His reputation in the open community network Research Gate, measured by RGScore (25.18), is higher than 80% of ResearchGate members. His research interests include mobile communication networks, QoS architectures and interworking, wireless and wired networks, mobility modelling for WLAN environments, mobility analysis for prediction purposes, routing, vehicular networking, MANET and VANET. He is peer reviewer and TPC member of different international conferences, as well as for many international journals, such as IEEE TVT, COMMLETT, VTM, SPRINGER TELS, MONET, ELSEVIER VEHCOMM, COMNET, and many others.

Miralem Mehic was born in 1988 in Bosnia and Herzegovina. He received the Ph.D. degree in telecommunications from the VSB-Technical University of Ostrava in 2017 where he works as a postdoctoral researcher. Also, he studied at the AGH University of Science and Technology, Krakow, Poland, Alpen-Adria-Universitat Klagenfurt, Austria and Austrian Institute of Technology (AIT) in Department of Digital Safety & Security Business Units - Optical Quantum Technology, Vienna & Klagenfurt, Austria. Miralem is the author of the unique QKD network simulator QKDNETSIM and participated in the successful realization of the virtual VSB-AIT QKD link. His field of research is related to the quality of service and management of QKD networks with a focus on real-time traffic and the utilization of network resources. His works have been published in leading journals ranked in Q1 and Q2 quarters (IEEE Access, Quantum Information Processing, IEEE Journal of Quantum Electronics) while his work on QKD network signalling protocols was awarded as the best paper at the MCSS 2017 conference in Krakow, Poland. Since 2019, prof. Mehic is a Head of Department of Telecommunications at the University of Sarajevo, Bosnia and Herzegovina.

Miroslav Voznak was born 1971 in Czechia, he received the PhD. degree in telecommunications from the Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava and completed his habilitation in 2002 and 2009, respectively. He was appointed Full Professor in 2017 in Electronics and Communication technologies. He is an IEEE senior member, author and co-author of 185/67 (overall/articles) indexed results in WoS and 259/115 in Scopus and his reputation in the open community network Research Gate, measured by RGScore, is higher than 90% of ResearchGate members. He participated in more than twenty european and national research projects. He was doing a part-time job as a researcher for CESNET, serving in two task-forces of TERENA and entire professional life has been employed in the VSB-Technical University of Ostrava at positions junior researcher, senior researcher, assistant professor, associate professor, professor, since 2013 department chair in Dept. of Telecommunications in Faculty of Electrical Engineering and Computer Science and since 2017 also as a head of Laboratory for Big Data Analysis in National Supercomputing Centre IT4Innovations.