DocumentCode
2624779
Title
A study of mobile path loss estimation models for a sloping terrain area in cellular systems
Author
Ohira, Tomohiro ; Hirai, Takanori ; Tomisato, Shigeru ; Hata, Masaharu
Author_Institution
Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama, Japan
fYear
2012
fDate
15-17 Oct. 2012
Firstpage
472
Lastpage
477
Abstract
Mobile path loss estimation models for small cell area on a sloping terrain become important function in the radio link design of cellular systems. Okumura and Lee models are known for the sloping terrain path loss estimation, but the applicable cell size is lager than today´s small cell area with less than 1.5km radius. Recently, a new estimation model called Fujitani model has been proposed for such a small cell including sloping terrain area. However, there were no comparison discussions about the estimation by the other models. In this paper, the path loss estimation comparisons by Okumura, Fujitani, and Lee models are discussed based on the same data measured in a typical short distance sloping terrain area. The result shows that Fujitani model is prospective for such sloping terrain path loss estimation in a small cell, but further measurement studies in various slope terrain areas and additional parameter considerations are needed to realize general applicability.
Keywords
cellular radio; radio links; Fujitani model; Lee model; Okumura model; cell size; cellular systems; mobile path loss estimation model; radio link design; sloping terrain area; sloping terrain path loss estimation; Antenna measurements; Area measurement; Base stations; Data models; Estimation; Loss measurement; Mobile communication; mobile path loss; path loss estimation; propagation models; radio link design; terrain correction;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (APCC), 2012 18th Asia-Pacific Conference on
Conference_Location
Jeju Island
Print_ISBN
978-1-4673-4726-6
Electronic_ISBN
978-1-4673-4727-3
Type
conf
DOI
10.1109/APCC.2012.6388183
Filename
6388183
Link To Document