5G DSS communications: pilot signals' variability analysis from measurements on the field

5G communications are rapidly spreading in both Non-Stand-Alone (NSA) and Stand-Alone (SA) modes. As part of the first category, a widely used approach is to reuse spectrum, currently allocated for 4G communications, through the Dynamic Spectrum Sharing (DSS) approach. As 5G's pervasiveness increases, issues related to the Electromagnetic Field (EMF) emitted by associated Radio Base Station (RBS) also become relevant. In the context of Extrapolation Techniques (ET), EMF can be estimated from pilot signals' measurements, feeding maximum field estimation equations. Such an approach is advantageous in terms of measurement time but its reliability strongly depends on the accurate estimation of needed parameters and their constancy. To this aim, the paper reports an experimental analysis on actual 5G DSS pilot signals for analyzing their variability. Quantitative figures of merit are proposed to objectively analyze such behaviors.