2009•International Conference on Advanced Communication TechnologyRequires access

Application of Code Average Method for GSM coverage prediction in different environment

Mohd Nazrul Hanif Nordin, Masru Laili Mursidi, Zabidah Saleh

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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.

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What this paper is about

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.

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Available 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.

Key concepts: Path loss, GSM, Computer science, Radio propagation, Radio propagation model, Log-distance path loss model, Wireless, Path (computing)

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