A Coverage Prediction Technique for Indoor Wireless Campus Network

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Fransiska Sisilia Mukti Allin Junikhah

Abstract

The placement of an Access Point (AP) is an important key to determine the spread of the signal. To get the optimal spread of signals, a network designer is required to understand how much coverage an AP can generate. A prediction is given to describe the coverage area produced based on AP placement for the wireless campus network, using a coordinate map modeling based on the real size for the indoor environment. The theoretical approach is used to determine the coverage area of an AP device by testing the function of the distance between the AP and the user. The results show that the signal generated by an AP will cover the entire area that is still on the LOS propagation path. The coverage area generated through AP placement in this case study reached 77.5%. The maximum distance between the AP and the user so that it is within the coverage area is 13.851m. There are still areas that are not covered by the AP, especially for the NLOS propagation path because of the obstruction around the AP.

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How to Cite
MUKTI, Fransiska Sisilia; JUNIKHAH, Allin. A Coverage Prediction Technique for Indoor Wireless Campus Network. JURNAL INFOTEL, [S.l.], v. 11, n. 3, p. 73-79, dec. 2019. ISSN 2460-0997. Available at: <http://ejournal.st3telkom.ac.id/index.php/infotel/article/view/434>. Date accessed: 11 dec. 2019. doi: https://doi.org/10.20895/infotel.v11i3.434.
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References

[1] S. Zvanovec, P. Pechac, and M. Klepal, “Wireless LAN networks design: Site Survey or Propagation Modeling?,” Radioengineering, vol. 12, no. 4, pp. 42–49, 2003.
[2] J. Stein, “Indoor radio WLAN performance part II: Range performance in a dense office environment,” Electron. Eng. Des., pp. 1–9, 1998.
[3] D. Applegate, A. Archer, D. S. Johnson, E. Nikolova, M. Thorup, and G. Yang, “Wireless Coverage Prediction via Parametric Shortest Paths,” in Eighteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018, pp. 221–230.
[4] J. C. Stein, “Indoor Radio WLAN Performance Part II?: Range Performance in a Dense Office Environment,” Electron. Eng., pp. 1–9, 1998.
[5] S. Sendra, D. Bri, E. Granell, and J. Lloret, “IEEE 802. 11g Radio Coverage Study for Indoor Wireless Network Redesign,” Int. J. Adv. Intell. Syst., vol. 5, no. 3, pp. 518–532, 2012.
[6] N. F. Puspitasari and R. Pulungan, “Optimisasi Penempatan Posisi Access Point Pada Jaringan Wi-Fi Menggunakan Metode Simulated Annealing,” Citec J., vol. 2, no. 1, pp. 51–64, 2015.
[7] A. W. Reza, K. Dimyati, K. A. Noordin, M. J. Islam, M. S. Sarker, and H. Ramiah, “A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area,” Int. J. Antennas Propag., vol. 2013, pp. 1–10, 2013.
[8] D. Plets, W. Joseph, K. Vanhecke, E. Tanghe, and L. Martens, “Coverage Prediction and Optimization Algorithms for Indoor Environments,” Eurasip J. Wirel. Commun. Netw., vol. 2012, pp. 1–23, 2012.
[9] X. Xiong et al., “Customizing Indoor Wireless Coverage via 3D-Fabricated Reflectors,” in 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017, pp. 1–10.
[10] M. M. Ouf, M. H. Issa, A. Azzouz, and A.-M. Sadick, “Effectiveness of using WiFi Technologies to Detect and Predict Building Occupancy,” Sustain. Build., vol. 2, p. 7, 2017.
[11] G. de la Roche, K. J. Runser, and J. M. Gorce, “On Predicting In-building Wi-Fi Coverage with a Fast Discrete Approach,” Int. J. Mob. Netw. Des. Innov., vol. 2, no. 1, p. 3, 2007.
[12] T. K. Geok, F. Hossain, and A. T. W. Chiat, “A Novel 3D Ray Launching Technique for Radio Propagation Prediction in Indoor Environments,” PLoS One, vol. 13, no. 8, pp. 1–14, 2018.
[13] J. Lloret, J. J. Lopez, C. Turro, and S. Flores, “A Fast Design Model for Indoor Radio Coverage in the 2.4 GHz Wireless LAN,” in 1st International Symposium on Wireless Communication Systems, 2005, no. 1, pp. 408–412.
[14] Z. Saharuna and R. Nur, “Desain Jaringan WLAN Berdasarkan Cakupan Area dan Kapasitas,” J. INFOTEL, vol. 8, no. 2, p. 115, 2016.
[15] A. Hikmaturokhman, W. Pamungkas, P. I. Setyawan, P. Studi, and T. Telekomunikasi, “Analisis Perhitungan Cakupan Sinyal Sistem Wcdma Pada Area,” vol. 5, 2013.
[16] I. P. Sari, T. B. Santoso, and N. A. Siswandari, “Optimasi Penataan Sistem Wi-Fi di PENS-ITS dengan Menggunakan Metode Monte Carlo,” 2010.
[17] D. Harinitha, “Perencanaan Penempatan Antena Pemancar Wireless Indoor Berdasarkan Daya Terima,” Setrum Sist. Kendali-Tenaga-Elektronika-Telekomunikasi-Komputer, vol. 6, no. 1, pp. 14–22, 2017.
[18] S. Y. Yeong, W. Al-Salihy, and T. C. Wan, “Indoor WLAN Monitoring and Planning using Empirical and Theoretical Propagation Models,” in Proceedings - 2nd International Conference on Network Applications, Protocols, and Services, NETAPPS 2010, 2010, pp. 165–169.
[19] Technopedia, “Definition of Line of Sight (LOS).” [Online]. Available: https://www.techopedia.com/definition/5069/line-of-sight-los. [Accessed: 07-Jul-2019].
[20] Technopedia, “Definition of Non-Line of Sight (NLOS).” [Online]. Available: https://www.techopedia.com/definition/5077/non-line-of-sight-nlos. [Accessed: 07-Jul-2019].
[21] Ubiquiti Networks, “UniFi AP DataSheet,” 2011.