A measurement data-based investigation of fading modeling for indoor THz wireless systems

The terahertz (THz) band offers a vast amount of still unallocated bandwidth, which makes it promising enabler for future sixth generation wireless systems. high frequencies the THz lead to significantly reduced multipath richness propagating signals. However, there are paths that can carry significant power. As result, small-scale fading characterization is particular interest and appropriate stochastic distributions best fit empirical channels need be identified. This work investigates suitability 'alpha-mu', Rice Nakagami-m adequately model statistics channel gain measurements various Line-of-Sight (LoS) Non-Line-of-Sight (NLoS) indoor links. fitting accuracy examined analytical validated by means Kolmogorov-Smirnov test, Kullback-Leibler divergence, logarithmic test root-mean-square-error. Also, ergodic capacity based on as well presented. Based metrics 'alpha-mu' yield LoS NLoS links, respectively. does not any presented Furthermore, insights provided ranges extracted values in transmission conditions.