Characterization of Outdoor to Indoor Propagation in Urban Area by Using A Combination of COST231 Walfisch-Ikegami and COST231 Multiwall Models in 1800 Mhz and 2100 Mhz
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2018-06-20 https://doi.org/10.14419/ijet.v7i3.2.15347 -
Path loss, propagation model, outdoor to indoor propagation, Walfish-Ikegami and Multiwall combination -
Abstract
Increasing numbers of the mobile communication users in urban city; especially indoor users cause the radio coverage prediction of outdoor to indoor becoming important. Obstacles are the main problems for outdoor to indoor propagation that weaken signal level and worsen information detection. This paper proposes a combination of COST231 Walfisch-Ikegami and COST231 Multiwall to predict the received signal. By comparing the predicted and the measured signal level in the Antara building, Medan city for both 1800 MHz and 2100 MHz channels, the proposed model outperforms the compared method in predicting signal level. The proposed model is able to suppress the prediction deviation 11.035 dB lower than the compared method for Sector A and 5.98 dB lower at Sector B.
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References
[1] Y. O. and T. T. Y. Miura, “Outdoor to Indoor Propagation Modeling with the Identification of Path Passing Through Wall Openings,†in The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2002, pp. 130–134.
[2] T. Listyorini and R. Rahim, “A prototype fire detection implemented using the Internet of Things and fuzzy logic,†World Trans. Eng. Technol. Educ., vol. 16, no. 1, pp. 42–46, 2018.
[3] D. Subramaniam et al., “A Stacked Planar Antenna with Switchable Small Grid Pixel Structure for Directive High Beam Steering Broadside Radiation,†Int. J. Eng. Technol., vol. 7, no. 2.5, pp. 122–127, Mar. 2018.
[4] M. Pinem and R. Fauzi, “The effect of various parameters of large scale radio propagation models on improving performance mobile communications,†IOP Conf. Ser. Mater. Sci. Eng., vol. 309, no. 135, p. IOP Publishing, 2018.
[5] J. M. H. and F. P. Fontan, Introduction to Mobile Communication Engineering. Norwood: Artech House, 1999.
[6] S. Suherman, “WiFi-Friendly Building to Enable WiFi Signal Indoor,†Bull. Electr. Eng. Informatics, vol. 7, no. 2, 2018.
[7] T. S. Rappaport, Wireless Communication : Principles and Pratice, 2nd ed. New Jersey: Prentice Hall, 2002.
[8] H. Hashemi, “The indoor radio propagation channel,†Proc. IEEE., vol. 81, no. 7, p. 943–968., 1993.
[9] E. C.-C. Telecommunications, “Digital Mobile Radio Towards Future Generation Systems, COST Action 231 Final Report,†Brussels, Belgium, 1999.
[10] R. I.-R. P.1238-7, “Propagation Data and Prediction Methods for the Planning of Indoor Radio communication Systems and Radio Local Area Networks in the Frequency Range 900 MHz to 100 GHz,†Electron. Publ., vol. Geneva.
[11] C. S. and J. Zeager, “College Trigonometry,†Lakel. Community Coll. Lorain Cty. Community Coll.
[12] N. Triana, “Analysis of Semi-Deterministic Propagation Losses models for Triple Band Application in Urban Areas,†Univ. North Sumatera Utara, Medan, Indones. 2015.
[13] S. A. and J. A. Fessler, “Standard Errors of Mean, Variance, and Standard Deviation Estimators,†Univ. Michigan.
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How to Cite
Pinem, M., Zulfin, M., Suherman, S., M. Sihombing, P., & Indah Rezkika, S. (2018). Characterization of Outdoor to Indoor Propagation in Urban Area by Using A Combination of COST231 Walfisch-Ikegami and COST231 Multiwall Models in 1800 Mhz and 2100 Mhz. International Journal of Engineering & Technology, 7(3.2), 698-702. https://doi.org/10.14419/ijet.v7i3.2.15347Received date: 2018-07-09
Accepted date: 2018-07-09
Published date: 2018-06-20