Clustering in the wireless channel with a power weighted statistical mixture model in indoor scenario
China Communications(2019)
摘要
Cluster-based channel model is the main stream of fifth generation mobile communications, thus the accuracy of clustering algorithm is important. Traditional Gaussian mixture model (GMM) does not consider the power information which is important for the channel multipath clustering. In this paper, a normalized power weighted GMM (PGMM) is introduced to model the channel multipath components (MPCs)...
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关键词
Clustering algorithms,Channel models,Inference algorithms,Gaussian distribution,5G mobile communication,Estimation,Gaussian mixture model
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