This paper proposes a new propagation model based on the most widely used Hata model. The proposed model is developed by extrapolating Hata model to be suitable microcells. The main equation of Hata urban model is modified by substituting the suburban correction factor with a terrain roughness parameter. This parameter uses a quadratic regression estimator of the standard deviation, σ, of the terrain irregularities along the measuring path, in west of Amman, Jordan. It is shown that RMSE between the predicted and measured data for the new proposed, is improved by up to 3 dB compared to Hata suburban model in most areas under study. Furthermore, the improvement in RMSE increases as σ increases. These results clarify the robustness of the proposed model.
1. Sarkar, T. K., Z. Ji, K. J. Kim, A. Medour, and M. Salazar-Palma, "A survey of various propagation models for mobile communication ," IEEE Antennas and Propagation Magazine, Vol. 45, No. 3, 51-82, June 2003. doi:10.1109/MAP.2003.1232163
2. Neskovic, A., N. Neskovic, and G. Paunovic, "Modern approaches in modeling of mobile radio systems propagation environment," IEEE Communications Surveys, 2-12, Third Quarter, 2000. doi:10.1109/COMST.2000.5340727
3. Nisirat, M. A., M. Ismail, S. Alkhawaldeh, and L. Nissirat, "Expectation of power propagation at 900MHz in Amman, Jordan," WSEAS, EHAC'10 Proceedings of the 9th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communicatio, 76-79, 2010.
4. Tunc, C. A., A. Altintas, and V. B. Ertürk, "Examination of existent propagation models over large inhomogeneous terrain pro¯les using fast integral equation solution," IEEE Transactions on Antennas and Propagation, Vol. 53, No. 9, 3080-3083, September 2005. doi:10.1109/TAP.2005.854548
5. Cruzl, R. M. S., F. C. Da Costal, P. F. Bragal, G. Fontgalland, M. A. Barbosa Demelo, and R. R. M. Do Valle, "A comparison between theoretical propagation models and measurement data to distinguish urban, suburban and open areas in Jodo Pessoa, Brazil," IEEE Microwave and Optoelectronics, 287-291, July 2005.
6. Mansour, N. A., RF predictions and modeling for microcells and PCS cell design , IEEE Vehicular Technology Conference, 1745-1749, 1994.
7. Fadda, E. H., A. A. Aldosari, and N. N. Al-Hanbali, "Building geospatial information system using IKONOS and SPOT images; creation three dimensional model for higher council for youth, Amman area, Jordan ," 4th National GIS Symposium, 1-12, Saudi Arabia, 2009.
8. Medeisis, A. and A. Kajackas, "On the use of the universal okumura-hata propagation prediction model in rural areas," IEEE, Vehicular Technology Conference Proceedings, 1815-1818, 2000.
9. Kandasamy, S. K., M. Ismail, and S. K. Tiong, "Application of genetic algorithm for large scale coverage prediction in gsm cellular mobile system," MMU International Symposium on Information and Communications Technologies (M2USIC), 9-12, Putrajaya, Malaysia, 2004.
10. Mardeni, R. and K. F. Kwan, "Optimization of hata propagation prediction model in suburban area in Malaysia," Progress In Electromagnetics Research C, Vol. 13, 91-106, 2010.
11. Panda, G., R. K. Mishra, and S. S. Palai, "A novel site adaptive propagation model," IEEE, Antennas and Wireless Propagation Letters, 447-448, 2005. doi:10.1109/LAWP.2005.860213
12. Magensen, P. E., P. Eggers, C. Jensen, and J. B. Andersen, "Urban area radio propagation measurements at 955 and 1845MHz for small and micro cells," IEEE GLOBECOM'91, 1297-1302, 1991.
13. Fontan, F. P. and P. M. Espineira, "Modeling the Wireless Propagation Channel a Simulation Approach with MATLAB," John Wily and Sons, 2008, 1-27.
14. Wilson, J. P. and J. C. Gallant, Terrain Analysis: Principles and Applications, 51-86, John Wily and Sons, 2000.