TY - JOUR
T1 - Composite vector quantization for optimizing antenna locations
AU - Uykan, Zekeriya
AU - Jäntti, Riku
PY - 2018/5/30
Y1 - 2018/5/30
N2 - In this paper, we study the location optimization problem of remote antenna units (Raus) in generalized distributed antenna systems (GDASs). We propose a composite vector quantization (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 upper bound to the cell-averaged SNR error for a desired/demanded location-specific SNR function, and ii) to maximize the cell-averaged effective SNR. The CVQ-DAS includes the standard VQ, and thus the well-known squared distance criterion (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”.
AB - In this paper, we study the location optimization problem of remote antenna units (Raus) in generalized distributed antenna systems (GDASs). We propose a composite vector quantization (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 upper bound to the cell-averaged SNR error for a desired/demanded location-specific SNR function, and ii) to maximize the cell-averaged effective SNR. The CVQ-DAS includes the standard VQ, and thus the well-known squared distance criterion (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”.
KW - Antenna allocation problem
KW - Clustering
KW - Distributed antenna system
KW - Squared distance criterion
UR - http://www.scopus.com/inward/record.url?scp=85048217461&partnerID=8YFLogxK
U2 - 10.3906/elk-1512-245
DO - 10.3906/elk-1512-245
M3 - Article
AN - SCOPUS:85048217461
VL - 26
SP - 1225
EP - 12335
JO - Turkish Journal of Electrical Engineering and Computer Sciences
JF - Turkish Journal of Electrical Engineering and Computer Sciences
SN - 1300-0632
IS - 3
ER -