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We analyze the performance of different channel models and Radio Access Technologies (RATs) for platoon emergency braking in a highway scenario. We present a ray tracing channel model and analyze its differences with the WINNER+ stochastic channel model in terms of the pathloss calculation. Thanks to the consideration of obstacles and their reflections, the ray tracing channel model has been shown to be more realistic in near Tx-Rx distance. This corroborates the results of our performance comparison which highlights larger differences in close Tx-Rx pairs. Considering the simulation time consumption and the more realistic ray tracing predictions, we propose a new models usage for our simulations: a combination of WINNER+ and ray tracing channel models. Moreover, we implement one new 5G numerology on the basis of Long Term Evolution-Vehicles (LTE-V) for Vehicle-to-everything (V2X) communications. We include this new feature in our benchmarking setup and provide performance analysis results. It provides a basis for our future research of further 5G components.

Self-Organising Network (SON) functions cover a plethora of use cases, each addressing a different (self-optimisation) task reducing the manual work of the Mobile Network Operator (MNO). A combined SON operation, with numerous SON functions running in parallel, might lead to an undesired network performance due to unforeseen coherencies of parameter changes. In order to gain a greater understanding of the interworking of SON functions, well-known SON use cases are tested with different combinations in a realistic multi-layer, multi-RAT scenario. Results show that a substantial impact on the network performance can be observed for different SON function combinations. Furthermore, the effects also differ if multiple context classes of cells (i.e. different sizes, locations, mobility types) are considered.