Abstract: This paper introduces a codebook-based trellis-coded quantization (TCQ) approach utilizing K-means clustering, designed specifically for massive multiple-input multiple-output systems. The ...
Abstract: The k-means algorithm is one of the most widely used methods for data clustering. However, traditional k-means can only be applied in the original feature space, limited to handle nonlinear ...