DocumentCode :
492048
Title :
Application of Code Average Method for GSM coverage prediction in different environment
Author :
Nordin, Mohd Nazrul Hanif ; Mursidi, Masro Laili ; Saleh, Zabidah
Author_Institution :
Forecasting & Teletraffic Technol. Cluster, Telekom Res. & Dev., Cyberjaya
Volume :
01
fYear :
2009
fDate :
15-18 Feb. 2009
Firstpage :
767
Lastpage :
771
Abstract :
In order to estimate the signal strength accurately for mobile or wireless systems, it is important to estimate characteristics of system´s propagation through a medium. Propagation analysis provides a good initial estimate of the signal characteristics. Since site measurements are costly, path loss prediction models have been developed as a low cost technique to predict at certain area. In this paper, well-known propagation path loss model Okumura-Hata and free space path loss model were used as basis to analyze the coverage of GSM system in different propagation environment (free space, rural, suburban, urban and dense urban). The code average method (CAM) was used to optimize the model to predict the path loss of propagation according to type of environment. Using CAM approach with grid system, it produced an effect in the path loss coverage form. Finally the simulation and analysis results show the effect of CAM in the path loss coverage prediction for different type of environment.
Keywords :
cellular radio; codes; radiotelephony; radiowave propagation; GSM coverage prediction; Okumura-Hata propagation path loss model; code average method; free space path loss model; mobile systems; path loss prediction models; propagation analysis; signal strength; wireless systems; Area measurement; CADCAM; Computer aided manufacturing; Costs; GSM; Loss measurement; Optimization methods; Predictive models; Propagation losses; Signal analysis; Code Average Method (CAM); Environment Type; GSM; Path Loss;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
Conference_Location :
Phoenix Park
ISSN :
1738-9445
Print_ISBN :
978-89-5519-138-7
Electronic_ISBN :
1738-9445
Type :
conf
Filename :
4810062
Link To Document :
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