Optimization of Radiowave Propagation in Ultra High Frequency Band For Ait Port Harcourt Nigeriaop

Abstract

Viewer dissatisfaction predisposed by attenuated radio waves within propagating paths constitute a major viewers-depopulating factor of competing UHF structured broadcast television stations. This phenomenon often gives rise to viewers switching from stations challenged by attenuation to ones that have mitigated this untoward factor. Consequently, this study examines the dynamics of path loss related attenuation and how best optimization could be achieved in eight specified heights at the Choba axis of our experimental location. The findings revealed higher path loss values at the specified heights of 0.8m, 1.2m and 1.4m, when the Wire-Type Dipole antenna was used at the ground floor level of the one-storey building. Lesser path loss values were recorded at 5m, 5.4m and 5.7m, when both the Wire-Type Dipole and the Yagi antennas were used at the first floor. Negligible, path loss was, however, the case at 6.1 and 6.7m, when the Yagi antenna was exclusively used at the first floor. Thus, giving credence to the fact that optimization could best be achieved in UHF bands where the transmitting and receiving antennas have a fairly unobstructed path between them. Hence, their designation as line-of-sight communication system which peculiar straight line trajectory could as a result of being subject to mediums amenable to refraction still make for enhanced communication.

Keywords

• Optimization
• UHF Band
• Path loss
• Radiowave Propagation Model
• MATLAB GUI

References

1. [1] Gomez, A.G., Oakes W.C., & Leone L.L. (2006). Engineering Your Future: A Project-Base Introduction to Engineering. Wildwood, MO. Great Lakes Press, Inc.
2. [2] Lockhart, S.D., & Johnson C., (1996). Engineering Design Communication Reading. MA, Addison-Wesley.
3. [3] Harris (2000). Radio Communications on the Digital Age: VHF/UHF Technology. Harris Corporation, USA, vol. (2).
4. [4] Biebuma J.J., & Omijeh B.O., (2013). Path loss Model Using Geographic Information System (GIS). International Journal of Engineering and Technology, vol. 3(3), pp 269-275.
5. [5] Roland H., (2022). Chapter 2 Concepts of IOT Networking, Springer and Business Media LLC.
6. [6] Saakian A.S.,(2011). Radiowave Propagation Fundamentals. Artech House.
7. [7] Hall M.P.M., Barclay L.W., & Hewitt M.T., (1996). Propagation of Radio Wave. Short Run Press Ltd, Exeter, Chapter 1, 4(D.F. Bacon), Chapter 6&8(K.H.Craig), Chapter 7(J.W.F. Goddard).
8. [8] Popoola J.J., & Adesanya A.T., (2018). A Versatile Wave Propagation Model for Very High Frequency Broadcasting Band in Vegetation and/or Rocky Environment. International Journal of Engineering Science and Application, vol. 2(1), pp 18-26.

9. [9] Temaneh- Nyah C., & Nepembe J.,(2014). Determination of a Suitable Correction Factor to a Radio Propagation Model for Cellular Wireless Network Analysis. Fifth International Conference on Intelligent Systems, Modelling and Simulation, IEEE Computer Society, pp 175-182.
10. [10] Anderson H.R., (2003). Fixed Broadband Wireless System Design: The Creation Of Global Mobile Communication, John Wiley & Sons, Inc., New York, NY.
11. [11] Sharma P.K & Singh R.K., (2010). Comparative Analysis of Propagation Path Loss Models with Field Measured Oata, International Journal of Engineering, Science and Technology, vol. 2(6), pp 2008-2013.
12. [12] Poonle A.A., & Owolabi O.J., (2019). Path Loss Modelling Of UHF Radio Wave Propagation in Ado-Ekiti, Nigeria. ABUAD Journal of Engineering Research and Development (AJERD), vol. 2(1), pp 90-102.
13. [13] Rappaport T.S., (1996). Wireless Communication. Englewood Cliffs, N.J. Prentice-Hall.
14. [14] Ogbulezie J.C., Akonjom N.A., Ojomu S.A., Ezugwu A.O., & Igajah I.E., (2016). A Review of Path Loss Models for Uhfradiowaves Propagation: Trends and Assessment. International Journal of Research in Engineering and Science, vol 4(7), pp 67-75.
15. [15]Hena M., Zana L.F., Mimoza I., Myzafere L., & Blediona G.(2020). Measurement-based optimized propagation model for urban, suburban and rural environments for UHF bands in Kosovo, 43rd International Convention on Information, Communication and Electronic Technology.
16. [16] Sati G., & Singh S.,( 2014). A Review on Outdoor Propagation Models in Radio Communication. International Journal of Computer Engineering & Science, vol. 4(2), pp 64-68.
17. [17] Rappaport T.S.,(2002). Wireless Communication Principles and Practice, 2nd Edition, New York. Pearson Education.
18. [18] Kang A.S., Renu V., Jasvir S., Jaisukh P.,(2016). Comparatative Analysis of Energy Detection Spectrum Sensing of Cognitive Radio Under Wireless Environment Using SEAMCAT, International Journal of Advanced Computer Science and Applications.
19. [19] Mardeni R., & Siva P.,(2010). Optimised COST-231 Hata Models for WIMAX Path Loss Prediction in Suburban and Open Urban Environments, Modern Applied Science.
20. [20] Ogbulezie J.C., Onuu M.U. Ushie J.O and Usibe B.E.(2013). Propagation Models for GSM 900 and 1800MHz for Port Harcourt and Enugu, Nigeria, Network and Communication Technologies.
21. [21] Jihoon C, Hyukjun O.(2017). Radio Propagation Model Considering Antenna Beam Tilt with Application to Small Cells, Wireless Personal Comunications.
22. [22] Famoriji J.O, Olasoji Y.O.(2013). Radio Frequency Propagation Mechanisms and Empirical Models for Hilly Areas, International Journal of Electrical and Computer Engineering(IJECE).
23. [23]Santoshkumar, Udaykumar R.Y(2014). Performance investigation of mobile WIMAX protocol for aggregator and electrical vehicle communication in Vehicle-to-Grid(V2G), IEEE 27th Canadian Conference on Electrical and Computer Engineering(CCECE).
24. [24] Alshami M, Arsian T, Thompson J and Erdogan(2011). Evaluation of Path Loss Modela at WIMAX Cell-Edge, 2011 4th IFIP International Conference on New Technologies Mobility and Security.
25. [25] Promise E, Paul O.O.(2016). Comparison of Empirical Propagation Models with Building Pentration Path Loss Model, International Journal on Communications