Clustering method based on scatterer locations for indoor dynamic MIMO channel

This paper proposes novel clustering approach which utilizes scattering points obtained from the measurement-based ray tracer (MBRT). After that, multipath components (MPCs) were classified into clusters according to those scattering points. the performance of this algorithm was evaluated with 11 GHz channel sounding data in an indoor environment. The evaluation results showed that the MPCs were classified into the clusters and the cluster centroids were tracked accurately by utilizing the physical locations of MPCs in the proposed method.