volume | PIER Journals

Abstract

This paper presents a radio wave propagation prediction method for low-rise buildings using 2-D aerial images taken from actual areas. The prediction procedure was done in three steps. Firstly, the images were classified in order to identify the objects by Color Temperature Properties with Maximum Likelihood Algorithm (CTP_MLA). The objects in the images consist of buildings, trees, roads, water and plain. These objects influence wave propagation highly. The MLA classification is a common supervised image segmentation technique in remote sensing domain. However it still needs human editing in case of classification errors. Secondly, the appropriate path loss models were selected to predict path loss. The original Xia path loss model was modified to include the effects of airy buildings and vegetation around the buildings. Finally, preliminary tests provide a better solution compared with measured path losses with the root mean square error (RMSE) and maximum relative error (MRE) of 3.47 and 0.16, respectively. Therefore, the positions for micro-cell base stations could be designed on a 2-D aerial map.

1. Xia, H. H., "A simplified model for prediction path loss in urban and suburban environments," IEEE Trans. Veh. Technol., Vol. 46, No. 4, 1040-1046, Nov. 1997.
doi:10.1109/25.653077 Google Scholar

2. Har, D., H. H. Xia, and H. L. Bertoni, "Path-loss prediction model for microcells," IEEE Trans. Veh. Technol., Vol. 48, No. 5, 1453-1462, Sep. 1999.
doi:10.1109/25.790520 Google Scholar

3. Walfisch, J. and H. L. Bertoni, "A theoretical model of UHF propagation in urban environments," IEEE Trans. Ant. Prop., Vol. 36, No. 12, 1788-1796, 1988.
doi:10.1109/8.14401 Google Scholar

4. Ikegami, F., S. Yoshida, T. Takeuchi, and M. Umehira, "Propagation factors controlling mean field strength on urban streets ," IEEE Trans. Ant. Prop., Vol. 32, 822-829, 1984.
doi:10.1109/TAP.1984.1143419 Google Scholar

5. Oda, Y., K. Tsunekawa, and M. Hata, "Advanced LOS path loss model in microwave mobile communications," IEEE Trans. Veh. Technol., Vol. 49, 2121-2125, Nov. 2000. Google Scholar

6. Jiang, L. and S. Y. Tan, "A simple analytical path loss model for urban cellular communication systems," Journal of Electromagnetic Waves and Applications, Vol. 18, No. 8, 1017-1032, 2004.
doi:10.1163/1569393042955405 Google Scholar

7. Masui, H., T. Kobayashi, and M. Akaike, "Microwave path loss modeling in urban line-of-sight. Environments," IEEE J. Select. Areas Commun., Vol. 20, No. 6, 1151-1155, Aug. 2002.
doi:10.1109/JSAC.2002.801215 Google Scholar

8. Durgin, G., T. S. Rappaport, and H. Xu, "Measurements and models for radio path loss and penetration loss in and around homes and trees at 5.85 GHz," IEEE Trans. on Commun., Vol. 46, No. 11, 1484-1485, Nov. 1998.
doi:10.1109/26.729393 Google Scholar

9. Karlsson, A., R. E. Schuh, C. Bergljung, P. Karlsson, and N. Lowendahl, "The influence of trees on radio channels at frequencies of 3 and 5 GHz," VTC 2001 Fall. IEEE VTS 54th, Vol. 4, 2008-2012, Oct. 2001. Google Scholar

10. Torrico, S. A., H. L. Bertoni, and R. H. Lang, "Modeling tree effects on path loss in a residential environment," IEEE Trans. Ant. Prop., Vol. 46, No. 6, 872-880, Jun. 1998.
doi:10.1109/8.686776 Google Scholar

11. Torrico, S. A. and R. H. Lang, "A simplified analytical model to predict the specific attenuation of a tree canopy," IEEE Trans. Veh. Technol., Vol. 56, No. 2, 696-703, Mar. 2007.
doi:10.1109/TVT.2007.891485 Google Scholar

12. Meng, Y. S., Y. H. Lee, and B. C. Ng, "Measurement and characterization of a tropical foliage channel in VHF and UHF bands," 10th IEEE Singapore Inter. Conf. (ICCS 2006), 1-5, Oct. 2006. Google Scholar

13. Kurner, T. and A. Meier, "Prediction of outdoor-to-indoor coverage in urban areas at 1.8 GHz," IEEE J. on Selected Areas in Commun., Vol. 20, No. 3, 496-506, April. 2002.
doi:10.1109/49.995508 Google Scholar

14. Teeranachaideekul, N., P. Phokharatkul, S. Ongwattanakul, B. Emaruchi, and S. Phaiboon, "A maximum likelihood method for the classification of aerial photographs," Proc. JCSSE2007, 254-259, May 2-4, 2007. Google Scholar

15. Perkins, T. C., "Remote sensing image classification and fusion for terrain reconstruction,", B.S.E.E., University of Louisville, 1999. Google Scholar

16. Lee, W. C. Y., "Estimate of local average power of a mobile radio signal," IEEE Trans. Veh. Technol., Vol. 34, No. 1, 22-27, Feb. 1985.
doi:10.1109/T-VT.1985.24030 Google Scholar

Prof. Supachai Phaiboon

Dr. Pisit Phokharatkul