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http://dx.doi.org/10.7840/kics.2017.42.2.323

A Comparison Study on the Path Loss Estimation in Censoring and Truncation Environments  

Lee, Kyung-gyu (Korea University Graduate School of Computer and Information Technology)
Oh, Seong-jun (Korea University Graduate School of Information Security)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.42, no.2, 2017 , pp. 323-330 More about this Journal
Abstract
The millimeter wave band is in the extremely high frequency band whose frequency and wavelength are 30-300GHz and 10-1mm respectively. When the obstacles block the propagation path which is not Line-of-Sight (LoS), due to a high propagation loss, it is hard to receive a signal in the millimeter wave band. Therefore When the path loss is measured in the millimeter wave band, the signal which is not distinguished from the noise is observed. Consequently, the path loss data which is limited in certain value is observed in the high propagation loss environment. If the original least square is implemented without taking the limitation of certain value into account, the path loss exponent may be underestimated. In this paper, the performance of Tobit Maximum Likelihood Estimation, Heckman Two-stage Model and Truncation Regression Model which can estimate properly in the censoring or truncated environments are compared.
Keywords
Regression; Estimation; Millimeter-wave; Path loss; Censoring; Truncation;
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Times Cited By KSCI : 3  (Citation Analysis)
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