Composite vector quantization for optimizing antenna locations

Authors : Zekeriya UYKAN, Riku JANTTI

Pages : 1225-1235

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Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :In this paper, we study the location optimization problem of remote antenna units insert ignore into journalissuearticles values(RAUs); in generalized distributed antenna systems insert ignore into journalissuearticles values(GDASs);. We propose a composite vector quantization insert ignore into journalissuearticles values(CVQ); algorithm that consists of unsupervised and supervised terms for RAU location optimization. We show that the CVQ can be used i); to minimize an \textit{upper bound} to the cell-averaged SNR error for a desired/demanded location-specific SNR function, and ii); to maximize the cell-averaged \textit{effective} \textit{SNR}. The CVQ-DAS includes the standard VQ, and thus the well-known squared distance criterion insert ignore into journalissuearticles values(SDC); as a special case. Computer simulations confirm the findings and suggest that the proposed CVQ-DAS outperforms the SDC in terms of cell-averaged ``effective SNR``.
Keywords : Distributed antenna system, antenna allocation problem, clustering, squared distance criterion