Zekeriya UYKAN, Riku JANTTI

90107

Composite vector quantization for optimizing antenna locations

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 \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 (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,

PDF
Turkish Journal of Electrical Engineering and Computer Science-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
Arşiv
Sayıdaki Diğer Makaleler

ABDALLAH OUMSALEM, Yamina BOUREZIG, Zakia NABI, Badra BOUABDALLAH

AMANJOT KAUR LAMBA, NEERU JINDAL, Sanjay SHARMA

Muhammad Abbas ABBASI, Abdul Rashid Bin HUSAIN

Çağdaş Evren GEREDE, Zeki MAZAN

Yusuf YASA, Yilmaz SÖZER, Muhammet GARİP

İreneusz KUBIAK

Özgür ÜSTÜN, Ramazan Nejat TUNCAY, Mert Safa MÖKÜKCÜ, Ömer Cihan KIVANÇ, Gürkan TOSUN, Can GÖKCE, Murat ÇAKAN

Prema RAMASAMY, PREMALATHA KANDHASAMY

Zhijie WANG, Zhiyuan LIU, Jie WANG, Xiuchen JIANG, Sanming LIU, Yifang LIU, Gehao SHENG, Tianyu LIU

Fatemeh HOSSEINKHANI, Saeed ROSHANI