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T. Berisha, T. Blazek, C. Mecklenbräuker:
"Measurement and Analysis of Cellular Networks under Mobility: Investigation of Change Detection";
Talk: 2018 IEEE 88th Vehicular Technology Conference (VTC2018-Fall), Chicago, IL, USA; 08-27-2018 - 08-30-2018; in: "2018 IEEE 88th Vehicular Technology Conference (VTC2018-Fall)", IEEE Xplore, (2018), 1 - 5.

The cellular users on-board operational trains heavily
suffer from relatively poor performance of current deployment
of cellular networks. The improvements in this context are
very limited due to the fact that trains mainly operate on
rural and slightly sub-urban environments characterized with
numerous deep-fade events occurring frequently. Another major
concern comes from quasi-metallic train structure, where vehicular
penetration loss (VPL) becomes severe and thus seriously
affects voice and data applications. However, this effect can be
significantly minimized by equipping the train with amplifyand-
forward relay which enables the user connection through
radiating cable. Therefore, to benchmark and understand the
variations due to various propagation conditions we conduct
real-world measurements on operational trains. In this paper,
we address the issue of change detection based on statistics
of coverage metrics by using information bottleneck algorithm.
Based on partitions of the algorithm, we formulate the problem
with non-parametric hypotheses and show that this approach
significantly matches to regressions obtained from special case of
logistic function approach

The cellular users on-board operational trains heavily
suffer from relatively poor performance of current deployment
of cellular networks. The improvements in this context are
very limited due to the fact that trains mainly operate on
rural and slightly sub-urban environments characterized with
numerous deep-fade events occurring frequently. Another major
concern comes from quasi-metallic train structure, where vehicular
penetration loss (VPL) becomes severe and thus seriously
affects voice and data applications. However, this effect can be
significantly minimized by equipping the train with amplifyand-
forward relay which enables the user connection through
radiating cable. Therefore, to benchmark and understand the
variations due to various propagation conditions we conduct
real-world measurements on operational trains. In this paper,
we address the issue of change detection based on statistics
of coverage metrics by using information bottleneck algorithm.
Based on partitions of the algorithm, we formulate the problem
with non-parametric hypotheses and show that this approach
significantly matches to regressions obtained from special case of
logistic function approach

https://ieeexplore.ieee.org/document/8690558