Comparison of two phase models in indoor radio propagation channels

Abstract

In this paper two phase models of indoor radio propagation channels (i.e. deterministic and random phase increments) are compared. In the deterministic phase model (model I), phase is updated deterministically using several independent random scatterers for each multipath component. In the random phase model (model II), phase of each multipath updates with independent random increments. Statistical characteristics of phase increments of model I are studied, simulated and compared with model II. Major results of this investigation are: (i) phase increments of model I are normally distributed with non-zero mean; (ii) mean of phase increments of model I decreases with increasing excess delay, increases with increasing antenna separation, slightly increases with increasing the number of scatterers and is nearly independent of the profile number; (iii) standard deviation of phase increments of model I changes with position of portable and after a displacement of one wavelength is nearly independent of profile number, and slightly increases with the number of scatterers. Comparison of these two models from computational complexity is carried out. It is shown that with two scatterers of model I, both methods have the same performance, and with more scatterers the random phase increment model is more efficient than the deterministic phase increment model. The results of this investigation can be used in design and performance evaluation of indoor wireless communication systems.