A method of 3D propagation modelling for planning of a radio network, the method being performed by a network entity, the method comprising: collecting, by a processor, one or more first network parameters of a radio network across one or more radio network sites in a first geographical region, wherein the one or more first network parameters are collected from a Radio Frequency, RF, scanner and from at least one user equipment, UE, simultaneously; performing, by the processor, a prediction analysis for planning of the network across the one or more radio network sites, wherein the prediction analysis is performed by using a Continuous-Wave, CW, based 3D propagation model with the collected one or more first network parameters, wherein based on the prediction analyses, one or more second network parameters for each of the one or more radio network sites are generated; and optimizing, by the processor, the 3D propagation model used for the planning of the radio network in the first geographical region, by tuning one or more propagation path loss parameters of the 3D propagation model to compensate for propagation path losses associated with a Line-of-sight, LOS, transmission and a Non-line-of-sight, NLOS transmission in the radio network, said method characterized by: the tuning being performed based on a comparison of the generated one or more second network parameters with at least one Key Point Indicator, KPI, of the 3D propagation model, wherein the tuning of the one or more propagation path loss parameters is performed by: comparing the generated one or more second network parameters with the at least one KPI; determining a correction factor for the one or more first network parameters, based on said comparison; and tuning the one or more propagation path loss parameters by correcting the one or more propagation path loss parameters based on the correction factor, so that the at least one KPI of the 3D propagation model matches at least one pre-stored reference KPI. collecting, by a processor, one or more first network parameters of a radio network across one or more radio network sites in a first geographical region, wherein the one or more first network parameters are collected from a Radio Frequency, RF, scanner and from at least one user equipment, UE, simultaneously; performing, by the processor, a prediction analysis for planning of the network across the one or more radio network sites, wherein the prediction analysis is performed by using a Continuous-Wave, CW, based 3D propagation model with the collected one or more first network parameters, wherein based on the prediction analyses, one or more second network parameters for each of the one or more radio network sites are generated; and optimizing, by the processor, the 3D propagation model used for the planning of the radio network in the first geographical region, by tuning one or more propagation path loss parameters of the 3D propagation model to compensate for propagation path losses associated with a Line-of-sight, LOS, transmission and a Non-line-of-sight, NLOS transmission in the radio network, said method characterized by: the tuning being performed based on a comparison of the generated one or more second network parameters with at least one Key Point Indicator, KPI, of the 3D propagation model, wherein the tuning of the one or more propagation path loss parameters is performed by: comparing the generated one or more second network parameters with the at least one KPI; determining a correction factor for the one or more first network parameters, based on said comparison; and tuning the one or more propagation path loss parameters by correcting the one or more propagation path loss parameters based on the correction factor, so that the at least one KPI of the 3D propagation model matches at least one pre-stored reference KPI. comparing the generated one or more second network parameters with the at least one KPI; determining a correction factor for the one or more first network parameters, based on said comparison; and tuning the one or more propagation path loss parameters by correcting the one or more propagation path loss parameters based on the correction factor, so that the at least one KPI of the 3D propagation model matches at least one pre-stored reference KPI.