Abstract
A dual power weighted clustering algorithm based on spectral clustering is proposed for indoor millimeter wave (mm Wave) three-dimension multiple input multiple output (3D MIMO) wireless channels in this paper. The proposed algorithm performs power weighting in the construction of similarity matrix and the calculation of multipath component distance (MCD) respectively. The results show that compared with the traditional K-means clustering and spectral clustering (SC) algorithms, the proposed algorithm can cluster multi-dimensional channel parameters accurately and better characterize the characteristics of indoor mmWave 3D MIMO wireless channels.
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