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Codebook design is one of the core technologies in limited feedbackmulti-input multi-output (MIMO) communication systems. However, theconventional codebook designs usually assume MIMO vectors are uniformlydistributed or isotropic. Motivated by the excellent classfication and analysisability of clustering algorithms, we propose a K-means clustering basedcodebook design. First, large amounts of channel state information (CSI) isstored as the input data of the clustering, and finally divided into N clustersaccording to the minimal distance. The clustering centroids are used as thestatistic channel information of the codebook construction which the sumdistance is minimal to the real channel information. Simulation results consistwith theoretical analysis in terms of the achievable rate, and demonstrate thatthe proposed codebook design outperforms conventional schemes, especially inthe non-uniform distribution of channel scenarios.

Clustering-Based Codebook Design for MIMO Communication System