  The manuscript discusses the increasing use of location-aware radio
communication systems to support operational processes for the demanding
aircraft cabin environment. In this context, the challenges for evaluation and
integration of radio-based localization systems in the connected cabin are
specifically addressed by proposing a hybrid deterministic and stochastic
simulation approach, including both model-based ray-tracing and empirical
residual simulation. The simulation approach is detailed in the manuscript and
a methodology for applying and evaluating localization methods based on
obtained geometric relations is conducted. This can also be used as a data
generation and validation tool for data-driven localization methods, which
further increase the localization accuracy and robustness. The derived location
information can in return be used in order to perform operational prediction
and optimization for efficient and sustainable passenger handling. A dataset
derived from the introduced simulation platform is publicly available.
