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Research Article

Optimal model for path loss predictions using feed-forward neural networks

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon | (Reviewing Editor)
Article: 1444345 | Received 16 Nov 2017, Accepted 20 Feb 2018, Published online: 07 Mar 2018

References

  • Adetiba, E. , Iweanya, V. C. , Popoola, S. I. , Adetiba, J. N. , & Menon, C. (2017). Automated detection of heart defects in athletes based on electrocardiography and artificial neural network. Cogent Engineering , 4 (1), 1411220.
  • Adetiba, E. , & Olugbara, O. O. (2015). Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features. The Scientific World Journal , 2015 .
  • Adeyemo, Z. K. , Ogunremi, O. K. , & Ojedokun, I. A. (2016). Optimization of Okumura-Hata model for long term evolution network deployment in Lagos, Nigeria. International Journal on Communications Antenna and Propagation (IRECAP) , 6 (3), 146–152. doi:10.15866/irecap.v6i3.9012
  • Akhoondzadeh-Asl, L. , & Noori, N. (2007). Modification and tuning of the universal Okumura-Hata model for radio wave propagation predictions .
  • Al Salameh, M. S. , & Al-Zu’bi, M. M. (2015). Prediction of radiowave propagation for wireless cellular networks in Jordan . Paper presented at the Knowledge and Smart Technology (KST), 2015 7th International Conference on.
  • Alamoud, M. A. , & Schütz, W. (2012). Okumura-Hata model tuning for TETRA mobile radio networks in Saudi Arabia .
  • Armenta, A. , Serrano, A. , Cabrera, M. , & Conte, R. (2012). The new digital divide: The confluence of broadband penetration, sustainable development, technology adoption and community participation. Information Technology for Development , 18 (4), 345–353.10.1080/02681102.2011.625925
  • Begovic, P. , Behlilovic, N. , & Avdic, E. (2012). Applicability evaluation of Okumura, Ericsson 9999 and winner propagation models for coverage planning in 3.5 GHZ WiMAX systems .
  • Cota, N. , Serrador, A. , Vieira, P. , Beire, A. R. , & Rodrigues, A. (2013). On the use of Okumura-Hat a propagation model on railway communications .
  • Erceg, V. (1999). An empirically based path loss model for wireless channels in suburban environments . IEEE Journal on Selected Areas in Communications , 1205–1211.10.1109/49.778178
  • Farhoud, M. , El-Keyi, A. , & Sultan, A. (2013). Empirical correction of the Okumura-Hata model for the 900 MHz band in Egypt .
  • Faruk, N. , Adediran, Y. A. , & Ayeni, A. A. (2013). Error bounds of empirical path loss models at vhf/uhf bands in kwara state, Nigeria . Paper presented at the EUROCON, 2013 IEEE.
  • Faruk, N. , Ayeni, A. A. , & Adediran, Y. A. (2013b). On the study of empirical path loss models for accurate prediction of TV signal for secondary users. Progress in Electromagnetics Research B , 49 , 155–176.10.2528/PIERB13011306
  • GSMA . (2014). The mobile economy 2014. GSMA Intelligence .
  • Hata, M. (1980). Empirical formula for propagation loss in land mobile radio services. IEEE Transactions on Vehicular Technology , 29 (3), 317–325.10.1109/T-VT.1980.23859
  • Hufford, G. A. (1952). An integral equation approach to the problem of wave propagation over an irregular surface. Quarterly of Applied Mathematics , 9 (4), 391–404.10.1090/qam/1952-09-04
  • Ibhaze, A. E. , Ajose, S. O. , Atayero, A. A.-A. , & Idachaba, F. E. (2016). Developing smart cities through optimal wireless mobile network . Paper presented at the emerging technologies and innovative business practices for the transformation of societies (EmergiTech), IEEE international conference on.
  • Luebbers, R. (1984). Propagation prediction for hilly terrain using GTD wedge diffraction. IEEE Transactions on Antennas and Propagation , 32 (9), 951–955.10.1109/TAP.1984.1143449
  • Mardeni, R. , & Pey, L. Y. (2010). The optimization of Okumura’s model for Code Division Multiple Access (CDMA) system in Malaysia. European Journal of Scientific Research , 45 (4), 508–528.
  • Matthews, V. O. , Osuoyah, Q. , Popoola, S. I. , Adetiba, E. , & Atayero, A. A. (2017, July 5–7). C-BRIG: A network architecture for real-time information exchange in smart and connected campuses. In Lecture notes in engineering and computer science: Proceedings of the world congress on engineering 2017 (pp. 398–401). London.
  • Medeisis, A. , & Kajackas, A. (2000). On the use of the universal Okumura-Hata propagation prediction model in rural areas . Piscataway, NJ.10.1109/VETECS.2000.851585
  • Mohtashami, V. , & Shishegar, A. (2012). Modified wavefront decomposition method for fast and accurate ray-tracing simulation. IET Microwaves, Antennas & Propagation , 6 (3), 295–304.10.1049/iet-map.2011.0264
  • Nadir, Z. , & Ahmad, M. I. (2010). Pathloss determination using Okumura-Hata model and cubic regression for missing data for Oman .
  • Nimavat, V. D. , & Kulkarni, G. (2012). Simulation and performance evaluation of GSM propagation channel under the urban, suburban and rural environments . Paper presented at the communication, information & computing technology (ICCICT), 2012 international conference on.
  • Oseni, O. F. , Popoola, S. I. , Abolade, R. O. , & Adegbola, O. A. (2014). Comparative analysis of received signal strength prediction models for radio network planning of GSM 900 MHz in Ilorin, Nigeria. International Journal of Innovative Technology and Exploring Engineering , 4 (3), 45–50.
  • Oseni, O. F. , Popoola, S. I. , Enumah, H. , & Gordian, A. (2014). Radio frequency optimization of mobile networks in Abeokuta, Nigeria for improved quality of service. International Journal of Research in Engineering and Technology , 3 (8), 174–180.
  • Phillips, C. , Sicker, D. , & Grunwald, D. (2013). A survey of wireless path loss prediction and coverage mapping methods. IEEE Communications Surveys & Tutorials , 15 (1), 255–270.10.1109/SURV.2012.022412.00172
  • Popoola, S. I. , Atayero, A. A. , Badejo, J. A. , John, T. M. , Odukoya, J. A. , & Omole, D. O. (2018). Learning analytics for smart campus: Data on academic performances of engineering undergraduates in Nigerian private university. Data in Brief , 17 , 76–94.10.1016/j.dib.2017.12.059
  • Popoola, S. I. , Atayero, A. A. , & Faruk, N. (2018). Received signal strength and local terrain profile data for radio network planning and optimization at GSM frequency bands. Data in Brief , 16 , 972–981.10.1016/j.dib.2017.12.036
  • Popoola, S. I. , Atayero, A. A. , Faruk, N. , & Badejo, J. A. (2018). Data on the key performance indicators for quality of service of GSM networks in Nigeria. Data in Brief , 16 , 914–928.10.1016/j.dib.2017.12.005
  • Popoola, S. I. , Atayero, A. A. , Faruk, N. , Calafate, C. T. , Adetiba, E. , & Matthews, V. O. (2017, July 5–7). Calibrating the standard path loss model for urban environments using field measurements and geospatial data . Paper presented at the Lecture notes in engineering and computer science: Proceedings of the world congress on engineering 2017 (pp. 513–518). London.
  • Popoola, S. I. , Atayero, A. A. , Faruk, N. , Calafate, C. T. , Olawoyin, L. A. , & Matthews, V. O. (2017). Standard propagation model tuning for path loss predictions in built-up environments . Paper presented at the International Conference on Computational Science and Its Applications.
  • Popoola, S. I. , Atayero, A. A. , Okanlawon, T. T. , Omopariola, B. I. , & Takpor, O. A. (2018). Smart campus: Data on energy consumption in an ICT-driven university. Data in Brief , 16 , 780–793.10.1016/j.dib.2017.11.091
  • Popoola, S. I. , Badejo, J. A. , Ojewande, S. O. , & Atayero, A. (2017, October 25–27). Statistical evaluation of quality of service offered by GSM network operators in Nigeria. In Lecture notes in engineering and computer science: Proceedings of the world congress on engineering and computer science 2017 (pp. 69–73). San Francisco.
  • Popoola, S. I. , Misra, S. , & Atayero, A. A. (2018). Outdoor path loss predictions based on extreme learning machine. Wireless Personal Communications , 1–20.
  • Popoola, S. I. , & Oseni, O. F. (2014a). Empirical path loss models for GSM network deployment in Makurdi, Nigeria. International Refereed Journal of Engineering and Science , 3 (6), 85–94.
  • Popoola, S. I. , & Oseni, O. F. (2014b). Performance evaluation of radio propagation models on GSM network in urban area of Lagos, Nigeria. International Journal of Scientific & Engineering Research , 5 (6), 1212–1217.
  • Rappaport, T. S. (1996). Wireless communications: Principles and practice (Vol. 2). New Jersey: Prentice Hall PTR.
  • Rath, H. K. , Verma, S. , Simha, A. , & Karandikar, A. (2016). Path Loss model for Indian terrain-empirical approach . Paper presented at the communication (NCC), 2016 twenty second national conference on.
  • Salman, M. A. , Popoola, S. I. , Faruk, N. , Surajudeen-Bakinde, N. , Oloyede, A. A. , & Olawoyin, L. A. (2017). Adaptive neuro-fuzzy model for path loss prediction in the VHF band . Paper presented at the computing networking and informatics (ICCNI), 2017 international conference on.
  • Schneider, I. , Lambrecht, F. , & Baier, A. (1996). Enhancement of the Okumura-Hata propagation model using detailed morphological and building data . Piscataway, NJ.10.1109/PIMRC.1996.567508
  • Sotiroudis, S. P. , & Siakavara, K. (2015). Mobile radio propagation path loss prediction using Artificial Neural Networks with optimal input information for urban environments. AEU-International Journal of Electronics and Communications , 69 (10), 1453–1463.10.1016/j.aeue.2015.06.014
  • Verma, R. , & Saini, G. (2016). Statistical tuning of Cost-231 Hata model at 1.8 GHz over dense urban areas of Ghaziabad .
  • Zelley, C. A. , & Constantinou, C. C. (1999). A three-dimensional parabolic equation applied to VHF/UHF propagation over irregular terrain. IEEE Transactions on Antennas and Propagation , 47 (10), 1586–1596.10.1109/8.805904