Multi-path Cluster characteristics in Indoor Environments at 28 GHz Band

Abstract

This paper presents the characteristics of multi-path clusters in indoor hall and classroom environments at 28 GHz Band. Firstly, space alternating generalized expectation maximization (SAGE) was used to estimate the multi-path components (MPCs) from the measurement data. Secondly, scattering point-based KPowerMeans(SPKPM) algorithm was applied to estimate and track the clusters based on the physical object position. Finally, the mean of cluster delay and angular spreads were computed. The results showed that the cluster spreads were mostly small which indicates that the channel is highly directive at 28 GHz band