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http://dx.doi.org/10.4218/etrij.2018-0376

SINR loss and user selection in massive MU-MISO systems with ZFBF  

Hu, Mengshi (School of Information and Communication Engineering, Beijing University of Posts and Telecommunications)
Chang, Yongyu (School of Information and Communication Engineering, Beijing University of Posts and Telecommunications)
Zeng, Tianyi (School of Information and Communication Engineering, Beijing University of Posts and Telecommunications)
Wang, Bin (School of Information and Communication Engineering, Beijing University of Posts and Telecommunications)
Publication Information
ETRI Journal / v.41, no.5, 2019 , pp. 637-647 More about this Journal
Abstract
Separating highly correlated users can reduce the loss caused by spatial correlation (SC) in multiuser multiple-input multiple-output (MU-MIMO) systems. However, few accurate analyses of the loss caused by SC have been conducted. In this study, we define signal-to-interference-plus-noise ratio (SINR) loss to characterize it in multiuser multiple-input single-output (MU-MISO) systems, and use coefficient of correlation (CoC) to describe the SC between users. A formula is deduced to show the accurate relation between SINR loss and CoC. Based on this relation, we propose a user selection method that utilizes CoC to minimize the average SINR loss of users in massive MU-MISO systems. Simulation results verify the correctness of the relation and show that the proposed user selection method is very effective at reducing the loss caused by SC in massive MU-MISO systems.
Keywords
coefficient of correlation; multiuser multiple-input single-output; signal-to-interference-plus-noise ratio loss; spatial correlation; user selection;
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