Research on Indoor 5G Millimetre Wave Coverage Based on 3D-Radiometric Tracking Method

Traditional wireless network coverage evaluation is generally performed using cell MRS (Measurement Report Statistics) data, drive test data and AOA+TA (measuring the uplink signal angle of arrival and arrival time to estimate user location) methods, which pertain to issues including one-sidedness and inaccuracy. This paper proposes a model based on a combination of ray tracing and 3D scenes for predictive optimisation of indoor network coverage based on a 5G millimetre wave (60 GHz band). The model is modularised in terms of scene, material properties, antenna, path search, diffuse scattering, and combined field strength for indoor line-of-sight complex environments to build a 3D ray-tracing coverage model adapted to 5G millimetre wave. Furthermore, the model is validated by the simulation to be highly accurate and applicable for predicting the coverage characteristics of 5G indoor scenes.