DocumentCode
3187505
Title
Micro cell path loss prediction through hilly-forest terrain: A case study in south of Thailand
Author
Phetsri, P. ; Sungkhapong, A. ; Phaiboon, S.
Author_Institution
Dept. of Ind. Eng., Prince of Songkla Univ., Songkla, Thailand
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
4670
Lastpage
4673
Abstract
This paper presents the path loss prediction using a modified hilly-forest model for micro cell environments in hilly suburban area. A location of received signal is chosen, where there is a problem in signal quality, which will be analyzed, and improved using the hybrid models called Lee-hilly model and modified COST 235 model. These models were evaluated with the realistic model parameters. The chosen location studied in this work consists of both the hilly and the rubber forest. The received signal strength was then improved by adjusting the base station parameter such as the height, transmitting power and angle of the antenna. The extensive drive test was performed to verify the modified model. The obtained results show that the modified path loss model can be used for microcell planning and signal quality improvement.
Keywords
microcellular radio; telecommunication network planning; Lee-hilly model; base station parameter; extensive drive test; hilly-forest terrain; micro cell path loss prediction; microcell planning; modified COST 235 model; received signal strength; rubber forest; signal quality improvement; transmitting power; Antenna measurements; Frequency measurement; Loss measurement; Predictive models; Propagation losses; Rubber; Vegetation; Path loss; drive test measurement; improved signal; modified hilly-forest model;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location
Deng Leng
Print_ISBN
978-1-4577-0535-9
Type
conf
DOI
10.1109/AIMSEC.2011.6011312
Filename
6011312
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