| Publisher | Universiti Kebangsaan Malaysia | ||
|---|---|---|---|
| Format | 130.8KB PDF | Date added | 26 May 2005 |
| Topics | Mobile - Wireless Communications, GSM | ||
| Downloads | 393 | ||
A considerable interest has been generated in finding solutions to predict average field strengths and multipath signals in macro-cells for radio cellular network. The predictions are required for a proper coverage planning and are the basis for the high-level network planning process. In this paper, well-known propagation path loss model Okumura Hata, Walfisch-Ikegami and free space path loss model are used as basis to analyze coverage prediction using signal strength measurement obtained from the field. Genetic Algorithm (GA) has been used to optimize the model to minimize the error between the measured and predicted signal strength.
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