Many vehicle-to-everything (V2X) applications and use cases require their feasibility to be
simulated, tested, and validated in realistic traffic scenarios and under various network …

Due to the increasing demand of wireless communication, the number of radio base stations
has been growing excessively. The wireless network is designed for maximum traffic load …

Mobile network operators are facing the difficult task of significantly increasing capacity to
meet projected demand while keeping CAPEX and OPEX down. We argue that …

Current cellular networks are often overloaded by Smartphone traffic, while the users'
Quality of Service (QoS) demands are not met. To cope with this problem, we demonstrate a …

The COVID-19 pandemic has affected our lives and how we use network infrastructures in
an unprecedented way. While early studies have started shedding light on the link between …

The most important step in an empirical computer scientist's research is gathering sufficient
real-world data to validate a system. Unfortunately, it is also one of the most time-consuming …

In a world of open data and large-scale measurements, it is often feasible to obtain a real-
world trace to fit to one's research problem. Feasible, however, does not imply simple …

This paper presents a quantitative methodology and results comparing different approaches
for {\it location-independent} communication. Our approach is empirical and is based on real …

Real Call Detail Records (CDR) are analyzed and classified based on Support Vector
Machine (SVM) algorithm. The daily classification results in three traffic classes. We use two …

Cellular technologies are evolving quickly to constantly adapt to new usage and tolerate the
load induced by the increasing number of phone applications. Understanding the mobile …