Challenges in the field of 5G -HSR Safety-critical train operations require an evolution. The widely used GSM-R has already a predicted obsolescence by 2030. Keeping in the mind in five years, standard migration in rail industry will need a next-generation solution by 2025 and the better connectivity of the upcoming 5G connection requires a comprehensive knowledge of path loss to design optimal telecommunication link budget. A traditional existed path loss prediction is mostly conducted for cellular networks even for 5G utilization. However, for 5G-HSR scenario, high velocity and specifically 5G high allocation spectrum (26 Ghz) utilized in this study require an unusual approach which is differ from the existing traditional methods. Difficulties in conducting measurement data is one of the major problems since tt is hard to know in what kind of propagation and attenuation experienced by 5G-HSR
Advances or new findings demonstrated in this study: This study proposes a new path loss model for Line of Sight Scenario in 5G-HSR Communication System as the typical infrastructure of HSR. Unfortunately, there are 3 unknown parameters existed from the constructed model because of some measurement difficulties conducted in the field. Therefore, Generalized Reduced Gradient (GRG), Genetic Algorithm (GA) are applied to find not only the unknown parameters but also to validate the accuracy of the new path loss model for 5G-HSR for Line of Sight scenario. The almost similar objective functions yielded from this study strengthen the accuracy of new path loss model and we ensure that this proposed model is applicable for designing the future dense of wireless communication infrastructures for high speed rail in 5G communication network.
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