UHF Radio Frequency Propagation Model for Akure Metropolis

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UHF Radio Frequency Propagation Model for Akure Metropolis

Author Affiliations

¹ Federal University of Technology, Akure, Nigeria

Res. J. Engineering Sci., Volume 2, Issue (5), Pages 6-10, May,26 (2013)

Abstract

During radio frequency propagation, an interaction between waves and environment attenuates the signal level. It causes path loss and finally limits coverage area. Empirical models are employed in network planning, most especially for conducting feasibility studies. This research work embraces two empirical models: Friis and Okumura-Hata and are used to predict broadcast signal strength for Akure, Ondo State, Nigeria. Measurement results of signal strength in UHF band taken in the three routes of Akure were compared with the predicted results using the empirical models. However, in this research paper, a modified Okumura-Hata model was developed and can be used for radio communication system design in Akure metropolis.

References

Saunders S., Antennas and Propagation for Wireless Communication Systems, Wiley409 (2000)
Olorunnibi E.D., Path Loss Prediction Model for UHF Radio Waves in Akure Metropolis, A dissertation, Electrical and Electronic Engineering of the Federal University of Technology, Akure, Nigeria (2010)
Vijay Garg Wireless Communications and Networking, Morgan Kaufmann Publishers, San Francisco, CA 94111(2007)
Serpil A. SEKE, A Computer Model for Low Altitude Radar Propagation Over Irregular Terrain”, IEEE Transactions on Antennas and Propagation, AP-34(8), 1013-1023, (1986)
Rappaport S.T., Scott Y.S., and Rajendra S.,900-MHz Multipath Propagation Measurements for U.S. Digital Cellular Radio Telephone, IEEE Transactions on Vehicular Technology, 39(2), 132-139 (1990)
Ramakrishna J., Path Loss Predictions in the Presence of Buildings on Flat Terrain; A 3D Vector Parabolic Equation Approach”, IEEE Transactions on Antennas and propagation, 51(8), 1716-1728. (2003)
Neskovi´c A, Neskovi´c N, and Djordic Paunovi´c “Macrocell electric field strength prediction model based upon artificial neural networks”, IEEE Journal on Selected Areas in Communications, 20(6), 1170-1177 (2002)
Ostlin E., Zepernick H. and Suzuki H., Evaluation of the new semi terrain based propagation model Recommendation ITU-R P.1546, in IEEE Semiannual Vehicular Technology Conference, vol. 1, Orlando, FL, USA, 114–118 (2003)
Famoriji J.O., Development of a radiowave propagation model for hilly areas: Idanre hill as a case study, A dissertation, Electrical and Electronic Engineering of the Federal University of Technology, Akure, Nigeria. (2013)
Olasoji Y.O. and Kolawole M.O., Signal Strength Dependence on Atmospheric Particulates, International Journal of Electronics and Communication Engineering. ISSN 0974-2166, 4(3), 301-304 (2011)
Rappapot S.T., Wireless Communications Principle and Practice, Prentice Hall Communications Engineering and Emerging Technologies Series, U.S., 324-325 (2002)

[ref1] Saunders S., Antennas and Propagation for Wireless Communication Systems, Wiley409 (2000)

[ref2] Olorunnibi E.D., Path Loss Prediction Model for UHF Radio Waves in Akure Metropolis, A dissertation, Electrical and Electronic Engineering of the Federal University of Technology, Akure, Nigeria (2010)

[ref3] Vijay Garg Wireless Communications and Networking, Morgan Kaufmann Publishers, San Francisco, CA 94111(2007)

[ref4] Serpil A. SEKE, A Computer Model for Low Altitude Radar Propagation Over Irregular Terrain”, IEEE Transactions on Antennas and Propagation, AP-34(8), 1013-1023, (1986)

[ref5] Rappaport S.T., Scott Y.S., and Rajendra S.,900-MHz Multipath Propagation Measurements for U.S. Digital Cellular Radio Telephone, IEEE Transactions on Vehicular Technology, 39(2), 132-139 (1990)

[ref6] Ramakrishna J., Path Loss Predictions in the Presence of Buildings on Flat Terrain; A 3D Vector Parabolic Equation Approach”, IEEE Transactions on Antennas and propagation, 51(8), 1716-1728. (2003)

[ref7] Neskovi´c A, Neskovi´c N, and Djordic Paunovi´c “Macrocell electric field strength prediction model based upon artificial neural networks”, IEEE Journal on Selected Areas in Communications, 20(6), 1170-1177 (2002)

[ref8] Ostlin E., Zepernick H. and Suzuki H., Evaluation of the new semi terrain based propagation model Recommendation ITU-R P.1546, in IEEE Semiannual Vehicular Technology Conference, vol. 1, Orlando, FL, USA, 114–118 (2003)

[ref9] Famoriji J.O., Development of a radiowave propagation model for hilly areas: Idanre hill as a case study, A dissertation, Electrical and Electronic Engineering of the Federal University of Technology, Akure, Nigeria. (2013)

[ref10] Olasoji Y.O. and Kolawole M.O., Signal Strength Dependence on Atmospheric Particulates, International Journal of Electronics and Communication Engineering. ISSN 0974-2166, 4(3), 301-304 (2011)

[ref11] Rappapot S.T., Wireless Communications Principle and Practice, Prentice Hall Communications Engineering and Emerging Technologies Series, U.S., 324-325 (2002)