On clustering for deterministic and measured indoor mmW channels

Abstract

This work presents the multidimensional analysis of both deterministic and measurements data in terms of clusters for indoor mmW channels. Firstly, by applying RiMAX, MPC (multipath components) and DMC (dense multipath components) are extracted from both an indoor measurement campaign and ray tracing simulations, including diffuse scatter. Secondly, from the RiMAX estimated paths, K-means with MCD (multipath component distance) is applied to compare the distribution of clusters.