Abstract
The millimeter wave is in an extremely high frequency band whose frequency and wavelength ranges are 30-300 GHz and 10-1 mm, respectively. Owing to the large distance loss and weak diffraction, a channel in the millimeter wave band experiences a propagation loss that is much worse than that of a low frequency band. When the path loss in the millimeter wave band is measured, it is observed that the data is confined within a certain range owing to limitations. If the original least square is applied to the measurement data without considering the limitations of certain values, the path loss exponent can be underestimated. Therefore, both censoring and truncation environments should be taken into account in the regression model. In this paper, the performance of the Tobit maximum likelihood estimation, Heckman two-stage model and truncation regression model are compared with the ray-tracing simulation.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Computational Electromagnetics, ICCEM 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 276-278 |
Number of pages | 3 |
ISBN (Electronic) | 9781509010387 |
DOIs | |
Publication status | Published - 2017 Apr 26 |
Event | 2017 IEEE International Conference on Computational Electromagnetics, ICCEM 2017 - Kumamoto, Japan Duration: 2017 Mar 8 → 2017 Mar 10 |
Publication series
Name | 2017 IEEE International Conference on Computational Electromagnetics, ICCEM 2017 |
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Other
Other | 2017 IEEE International Conference on Computational Electromagnetics, ICCEM 2017 |
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Country/Territory | Japan |
City | Kumamoto |
Period | 17/3/8 → 17/3/10 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Radiation
- Instrumentation
- Computer Networks and Communications
- Computational Mathematics