Air-to-Air Path Loss Prediction Based on Machine Learning Methods in Urban Environments

Table 1

Parameter configuration.

Parameter	Value
Environment	Helsinki urban scenario
Area	1000 m 600 m
Max. building height	50 m
Carrier frequency	2.4 GHz
Bandwidth	100 MHz
Transmit power	15 dBm
Tx altitude	60, 70, 80 m
Rx altitude	10, 20, 30, 40 m
Distance between adjacent Rx positions	2 m
Number of Tx locations	1 3
Number of Rx locations	405 4
Max. number of reflection	10
Max. number of diffraction	1
Max. penetration	Not simulated