Araştırma Makalesi
BibTex RIS Kaynak Göster

Yıl 2021, Cilt: 5 Sayı: 1, 20 - 35, 30.06.2021

Jide Popoola

https://doi.org/10.29002/asujse.749536

Öz

Kaynakça

  • [1] V. Christofilakis, G. Tatsis, S.K. Chronopoulos, A. Sakkas, A.G. Skrivanos, K.P. Peppas, H.E. Nistazakis, G. Baldoumas, P. Kostarakis, Earth-to-earth microwave rain attenuation measurements: A survey on the recent literature. Symmetry. 12(9) (2020) 1-30. doi:10.3390/sym12091440.
  • [2] A.N. Uwaechia, N.M. Mahyuddin, A comprehensive survey on millimeter wave communications for fifth-generation wireless networks: Fesibility and Challenges. IEEE Access. 8 (2020) 62367-62414. 10.1109/ACCESS.2020.2984204
  • [3] Y. Zhang, J. Wen, G. Yang, Z. He, J. Wang, Path loss prediction based on machine learning: Principle, method, and data expansion. Aplied Sciences. 9(9) (2019) 1-18. doi:10.3390/app9091908w.
  • [4] A. Ekeocha, N. Onyebuchi, A. Ifenyinwa, Comparative study of path loss models for wireless communication in urban and sub-urban environment for Port-Harcourt, Nigeria. American Journal of Engineering Research. 4(11) (2015) 109-115.
  • [5] D. Katiyar, V. Mittal, Implementation of cellular propagation models in diverse environments. International Journal of Engineering Trends and Technology. 15(1) (2014) 1-6.
  • [6] S.I. Popoola, O.F. Oseni, Emperical path loss models for GSM networks deployment in Makurdi, Nigeria. International Refereed Journal of Engineering and Science. 3(6) (2014) 85-94.
  • [7] E.K. Tameh, A.R. Nix, A mix-cell propagation model for interference prediction in a UMTS network. 53rd IEEE Vehicular Technology Conference, Rhode, Greece. (2001) 409-413.
  • [8] J.O. Famoriji, Y.O. Olasoji, Development of a radiowave propagation model for hilly areas. International Journal of Electronics Communication and Computer Engineering, 4(2) (2013) 536-537.
  • [9] J.J. Popoola, A.A. Ponnle, Y.O. Olasoji, S.A. Oyetunji, Investigation of the need for specific propagation model for spsecific environmnt based on different terrain characteristics. IIUM Engineering Journal. 9(2) (2018) 90-104.
  • [10] O.F. Oseni, S.I. Popoola, R.O. Abolade, O.A. Adegbola, Comparative analysis of received signal strength prediction models for radio network planning of GSM 900 MHz in Ilorin. International Journal of Innovation Technology and Exploring Engineering. 4(3) (2014) 45-50.
  • [11] N. Faruk, A.A. Ayeni, Y.A. Adeniran, Characterization of propagation path loss at VHF/UHF bands for Ilorin city, Nigeria. Nigerian Journal of Technology. 32(2) (2013) 253-265
  • [12] R. Fraile, L. Rubio, N. Carona, Application of RBF neural networks to the prediction of propagation loss over irregular terrain. 52nd IEEE Vehicular Technology Conference, Boston, USA. (2000) 878-884.
  • [13] O.O. Fagbohu, Path loss determination of 91.5 MHz FM radio channel of Ekiti State. Journal of Electrical and Electronics Engineering. 10(1) (2015) 51-57.
  • [14] R. Struzak, Radi-owave propagation basic. School on Digital Radio Communications for Research and Training in developing countries, the Abdus Salam International Centre for Theoretical Physics, Trieste, Italy. (2004) 1-56.
  • [15] Z. Stankovic, B. Milovanovic, M. Veljkovic, A Dordevic, The hybrid-neural emperical model for the electromagnetic field level prediction in urban environments. 7th Seminar on Neural Network Applications in Electrical Engineering, Belgrade, Serba (2004) 189-192. Online [Available]: http://wireless.icp.it/school_2004/lectures/struzak/R_Prog_Basic.pdf.
  • [16] R. Struzak, Radi-owave propagation basic. School on Digital Radio Communications for Research and Training in developing countries, the Abdus Salam International Centre for Theoretical Physics, Trieste, Italy. (2006) 1-127. Online [Available]: http://wireless.icp.it/school_2006/lectures/Struzak/RadioProgBasic-ebook.pdf.
  • [17] O.O. Oyesola, Seasonal variation of mobile radio propagation characteristics in Kaduna metropolis and environs: A case study of MTN and Airtel (master Thesis in Electrical Engineering, Amadu Bello University, Zaria, Nigeria). Online [Available]: http://kubanni.abu.edu.ng:8080/jspui/handle/123456789/620.
  • [18] E. Ostlin, H.M. Zepernick, H. Suzuki, Evaluation of the new semi-terrain based propagation model recommendation ITU-R P.1546. 58th IEEE Vehicular Technology Conference, Orlando, USA. (2003) 114-118.
  • [19] Y. Singh, Comparison of Okumura, Hata and COST-231 models on the basis of path loss and signal strength. International Journal of Computer Applications. 59(11) (2012) 37-41.
  • [20] T.P. Sarkar, Z. Ji, K. Kim, A. Medouri, M. Salazar-Palma, A survey of various propagation models for mobile communication. IEEE Antennas and Propagation Magazine. 45(3) (2003) 51-82.
  • [21] O.K. Ogbeide, F.O. Edeko, Modification of Hata emperical propagation model for application in VHF band in Edo State, Nigeria. International Journal of Engineering Science Invention. 2(8) (2013) 35-39.
  • [22] G.C. Nwalozie, S.U. Ufoaroh, C.O. Ezeagwu, A.C. Ejiofor, Path loss prediction for GSM mobile networks for urban region of Aba, South-East Nigeria. International Journal of Computer Science and Mobile Computing. 3(2) (2014) 267-281.
  • [23] V.S. Abhayawardhana, I.J. Wassell, D. Crosby, M.P Sellars, M.G. Brown, Comparison of emperical propagation path loss models for fixed wireless access systems. 61st IEEE Vehicular Technology Conference, Stockholm, Sweden. (2005) doi: 10.1109/VETECS.2005.1543252.
  • [24] R.S. Hassan, T.A. Rahman, A.Y. Abdulrahaman, LTE coverage network planning and comparison with different propagation models. TELKOMNIKA. 12(1) (2014) 153-162.
  • [25] C. Temaneh-Nyah, J. Nepembe, Determination of a suitable correction factor to a radio propagation model for cellular wireless network analysis. 5th IEEE International Conference on Intelligent Systems, Modelling and Simulation, Langkawi, Malaysia. (2014) 175-182.
  • [26] F. Wang, I. Koh, K. Sarabandi, Long distance path-loss estimation for wave propagation through a forested evironment. IEEE International Symposium on Antennas and Propagation Society, Monterey, CA, USA. (2004) 922-925.
  • [27] I. Picallo, H. Klaina, P. Lopez-Iturri, E. Aguirre, M. Celaya-Echarri, L. Azpilicueta, A. Eguizabal, F. Falcone, A. Alejos, A radio channel model for D2D communications blocked by single trees in forest environments. Sensor. 19(21) (2019) 1-20. doi: 10.3390/219214606

Assessment and Development of Path Loss Propagation Model for Ikire Metropolis, Nigeria

Yıl 2021, Cilt: 5 Sayı: 1, 20 - 35, 30.06.2021

Jide Popoola

https://doi.org/10.29002/asujse.749536

Öz

The aim of this paper is to assess and develop path loss propagation model for terrestial radio broadcasting station in Ikire, Nigeria. In carrying out the study, the reception quality of Osun State Corporation (OSBC) broadcast signal strength within Ikire metropolis in Irewole Local Government Area of Osun State, Nigeria was assessed using BC1173 Field Strength meter. The data obtained from the signal strength measurements around the metropolis were subsequently analysed and used for the development of an ideal propagation path loss model for the metropolis. The developed path loss model for the metropolis was evaluated and found to outperform the COST-231 Hata model in literature. The comparative performance evaluation result of the developed model and the COST-231 Hata model buttresses the need for developing different path loss models for different radio signals in different locations under different environmental factors. In addition, the finding of the study establishes a standard propagation path loss model that can be used for planning and designing efficient wireless communication link for terrestrial radio broadcasting station in the metropolis and any other environments with similar environmental factors. 

Anahtar Kelimeler

Radiowave Path loss Radiowave propagation Radio propagation model

Kaynakça

  • [1] V. Christofilakis, G. Tatsis, S.K. Chronopoulos, A. Sakkas, A.G. Skrivanos, K.P. Peppas, H.E. Nistazakis, G. Baldoumas, P. Kostarakis, Earth-to-earth microwave rain attenuation measurements: A survey on the recent literature. Symmetry. 12(9) (2020) 1-30. doi:10.3390/sym12091440.
  • [2] A.N. Uwaechia, N.M. Mahyuddin, A comprehensive survey on millimeter wave communications for fifth-generation wireless networks: Fesibility and Challenges. IEEE Access. 8 (2020) 62367-62414. 10.1109/ACCESS.2020.2984204
  • [3] Y. Zhang, J. Wen, G. Yang, Z. He, J. Wang, Path loss prediction based on machine learning: Principle, method, and data expansion. Aplied Sciences. 9(9) (2019) 1-18. doi:10.3390/app9091908w.
  • [4] A. Ekeocha, N. Onyebuchi, A. Ifenyinwa, Comparative study of path loss models for wireless communication in urban and sub-urban environment for Port-Harcourt, Nigeria. American Journal of Engineering Research. 4(11) (2015) 109-115.
  • [5] D. Katiyar, V. Mittal, Implementation of cellular propagation models in diverse environments. International Journal of Engineering Trends and Technology. 15(1) (2014) 1-6.
  • [6] S.I. Popoola, O.F. Oseni, Emperical path loss models for GSM networks deployment in Makurdi, Nigeria. International Refereed Journal of Engineering and Science. 3(6) (2014) 85-94.
  • [7] E.K. Tameh, A.R. Nix, A mix-cell propagation model for interference prediction in a UMTS network. 53rd IEEE Vehicular Technology Conference, Rhode, Greece. (2001) 409-413.
  • [8] J.O. Famoriji, Y.O. Olasoji, Development of a radiowave propagation model for hilly areas. International Journal of Electronics Communication and Computer Engineering, 4(2) (2013) 536-537.
  • [9] J.J. Popoola, A.A. Ponnle, Y.O. Olasoji, S.A. Oyetunji, Investigation of the need for specific propagation model for spsecific environmnt based on different terrain characteristics. IIUM Engineering Journal. 9(2) (2018) 90-104.
  • [10] O.F. Oseni, S.I. Popoola, R.O. Abolade, O.A. Adegbola, Comparative analysis of received signal strength prediction models for radio network planning of GSM 900 MHz in Ilorin. International Journal of Innovation Technology and Exploring Engineering. 4(3) (2014) 45-50.
  • [11] N. Faruk, A.A. Ayeni, Y.A. Adeniran, Characterization of propagation path loss at VHF/UHF bands for Ilorin city, Nigeria. Nigerian Journal of Technology. 32(2) (2013) 253-265
  • [12] R. Fraile, L. Rubio, N. Carona, Application of RBF neural networks to the prediction of propagation loss over irregular terrain. 52nd IEEE Vehicular Technology Conference, Boston, USA. (2000) 878-884.
  • [13] O.O. Fagbohu, Path loss determination of 91.5 MHz FM radio channel of Ekiti State. Journal of Electrical and Electronics Engineering. 10(1) (2015) 51-57.
  • [14] R. Struzak, Radi-owave propagation basic. School on Digital Radio Communications for Research and Training in developing countries, the Abdus Salam International Centre for Theoretical Physics, Trieste, Italy. (2004) 1-56.
  • [15] Z. Stankovic, B. Milovanovic, M. Veljkovic, A Dordevic, The hybrid-neural emperical model for the electromagnetic field level prediction in urban environments. 7th Seminar on Neural Network Applications in Electrical Engineering, Belgrade, Serba (2004) 189-192. Online [Available]: http://wireless.icp.it/school_2004/lectures/struzak/R_Prog_Basic.pdf.
  • [16] R. Struzak, Radi-owave propagation basic. School on Digital Radio Communications for Research and Training in developing countries, the Abdus Salam International Centre for Theoretical Physics, Trieste, Italy. (2006) 1-127. Online [Available]: http://wireless.icp.it/school_2006/lectures/Struzak/RadioProgBasic-ebook.pdf.
  • [17] O.O. Oyesola, Seasonal variation of mobile radio propagation characteristics in Kaduna metropolis and environs: A case study of MTN and Airtel (master Thesis in Electrical Engineering, Amadu Bello University, Zaria, Nigeria). Online [Available]: http://kubanni.abu.edu.ng:8080/jspui/handle/123456789/620.
  • [18] E. Ostlin, H.M. Zepernick, H. Suzuki, Evaluation of the new semi-terrain based propagation model recommendation ITU-R P.1546. 58th IEEE Vehicular Technology Conference, Orlando, USA. (2003) 114-118.
  • [19] Y. Singh, Comparison of Okumura, Hata and COST-231 models on the basis of path loss and signal strength. International Journal of Computer Applications. 59(11) (2012) 37-41.
  • [20] T.P. Sarkar, Z. Ji, K. Kim, A. Medouri, M. Salazar-Palma, A survey of various propagation models for mobile communication. IEEE Antennas and Propagation Magazine. 45(3) (2003) 51-82.
  • [21] O.K. Ogbeide, F.O. Edeko, Modification of Hata emperical propagation model for application in VHF band in Edo State, Nigeria. International Journal of Engineering Science Invention. 2(8) (2013) 35-39.
  • [22] G.C. Nwalozie, S.U. Ufoaroh, C.O. Ezeagwu, A.C. Ejiofor, Path loss prediction for GSM mobile networks for urban region of Aba, South-East Nigeria. International Journal of Computer Science and Mobile Computing. 3(2) (2014) 267-281.
  • [23] V.S. Abhayawardhana, I.J. Wassell, D. Crosby, M.P Sellars, M.G. Brown, Comparison of emperical propagation path loss models for fixed wireless access systems. 61st IEEE Vehicular Technology Conference, Stockholm, Sweden. (2005) doi: 10.1109/VETECS.2005.1543252.
  • [24] R.S. Hassan, T.A. Rahman, A.Y. Abdulrahaman, LTE coverage network planning and comparison with different propagation models. TELKOMNIKA. 12(1) (2014) 153-162.
  • [25] C. Temaneh-Nyah, J. Nepembe, Determination of a suitable correction factor to a radio propagation model for cellular wireless network analysis. 5th IEEE International Conference on Intelligent Systems, Modelling and Simulation, Langkawi, Malaysia. (2014) 175-182.
  • [26] F. Wang, I. Koh, K. Sarabandi, Long distance path-loss estimation for wave propagation through a forested evironment. IEEE International Symposium on Antennas and Propagation Society, Monterey, CA, USA. (2004) 922-925.
  • [27] I. Picallo, H. Klaina, P. Lopez-Iturri, E. Aguirre, M. Celaya-Echarri, L. Azpilicueta, A. Eguizabal, F. Falcone, A. Alejos, A radio channel model for D2D communications blocked by single trees in forest environments. Sensor. 19(21) (2019) 1-20. doi: 10.3390/219214606
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Jide Popoola

Yayımlanma Tarihi 30 Haziran 2021
Gönderilme Tarihi 8 Haziran 2020
Kabul Tarihi 25 Mart 2021
Yayımlandığı Sayı Yıl 2021Cilt: 5 Sayı: 1

Kaynak Göster

APA Popoola, J. (2021). Assessment and Development of Path Loss Propagation Model for Ikire Metropolis, Nigeria. Aksaray University Journal of Science and Engineering, 5(1), 20-35. https://doi.org/10.29002/asujse.749536
 Kapak Resmi İndir
Aksaray J. Sci. Eng. | e-ISSN: 2587-1277 | Period: Biannually | Founded: 2017 | Publisher: Aksaray University | https://asujse.aksaray.edu.tr