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A Comprehensive Study of the Environmental Effects on WiFi Received Signal Strength: Lab Scenario

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Applied Computing to Support Industry: Innovation and Technology (ACRIT 2019)

Abstract

The characteristics of indoor dense environment required accurate modeling. The multipath effects due to different obstacles with different materials and dimensions make the behavior of the propagated signal unpredictable. In this paper, a reliable ray tracing simulator is used for assessing the performance of WLAN based on the 802.11n dual-band system, was a real lab scenario is adopted as a complex indoor environment. The effects of different parameters are investigated. They are objects materials, object dimension, and frequency to address the effects of diffraction and reflection phenomena on the received power. Object materials are analyzed and this paper verifies that metal object, especially with large dimensions has significant effects on signal strength fluctuations due to their electrical properties. In addition, small object effects can be neglected at the cost of 4.86 dBm and 5.27 dBm losses at 2.4 GHz and 5 GHz respectively to reduce the simulation computational time. On the other side, the results show that the propagation signal is prone to more attenuation at a higher frequency due to path loss increasing.

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References

  1. Akram, M.R., Al-Nakkash, A.H., Salim, O.N.M.: A comparative study of indoor propagation models for IEEE 802.11n network. In: International Conference of Information and Communication Technology (2019)

    Google Scholar 

  2. Popovski, P., et al.: Wireless access for ultra-reliable low-latency communication: principles and building blocks. IEEE Netw. 32(2), 16–23 (2018)

    Article  MathSciNet  Google Scholar 

  3. Guo, C., Liu, F., Chen, S., Feng, C., Zeng, Z.: Advances on exploiting polarization in wireless communications: channels, technologies, and applications. IEEE Commun. Surv. Tutor. 19(1), 125–166 (2017)

    Article  Google Scholar 

  4. Kurt, S., Tavli, B.: Path-loss modeling for wireless sensor networks: a review of models and comparative evaluations. IEEE Antennas Propag. Mag. 59(1), 18–37 (2017)

    Article  Google Scholar 

  5. Kodnoeih, M.R.D.: Development of next-generation 5G directive antennas at millimeter waves (Doctoral dissertation, UNIVERSITE DE NANTES) (2018)

    Google Scholar 

  6. Alarifi, A., et al.: Ultra wideband indoor positioning technologies: analysis and recent advances. Sensors 16(5), 707 (2016)

    Article  Google Scholar 

  7. Van Haute, T., et al.: Comparability of RF-based indoor localisation solutions in heterogeneous environments: an experimental study. Int. J. Ad Hoc Ubiquit. Comput. 23(1–2), 92–114 (2016)

    Article  Google Scholar 

  8. Li, S., Liu, Y., Lin, L., Sun, D., Yang, S., Sun, X.: Simulation and modeling of millimeter-wave channel at 60 GHz in indoor environment for 5G wireless communication system. In: IEEE International Conference on Computational Electromagnetics (ICCEM) (2018)

    Google Scholar 

  9. Dama, Y.A.S., Abd-Alhameed, R.A., Salazar-Quiñonez, F., Jones, S.M.R., Gardiner, J.G.: Indoor channel measurement and prediction for 802.11n system. In: Vehicular Technology Conference (2011)

    Google Scholar 

  10. Dama, Y.A.S., et al.: RSSI evaluation for multi-story building. In: 2015 Internet Technologies and Applications (ITA), pp. 414–416. IEEE, September 2015

    Google Scholar 

  11. Manan, W., Obeidat, H., Alabdullah, A., Abd-Alhameed, R., Hu, F.: Indoor to indoor and indoor to outdoor millimeter wave propagation channel simulations at 26 Ghz, 28 Ghz and 60 Ghz for 5G mobile networks. Int. J. Eng. Sci. 7, 8–18 (2018). https://doi.org/10.9790/1813-0703020818

  12. Liu, Z.Y., Guo, L.X., Li, C.L., Wang, Q., Zhao, Z.W.: Sensitivity of power and RMS delay spread predictions of a 3D indoor ray tracing model. Opt. Express 24(12), 13179–13193 (2016)

    Article  Google Scholar 

  13. Hossain, F., Geok, T., Rahman, T., Hindia, M., Dimyati, K., Abdaziz, A.: Indoor millimeter-wave propagation prediction by measurement and ray tracing simulation at 38 GHz. Symmetry 10(10), 464 (2018)

    Article  Google Scholar 

  14. Azpilicueta Fernández de las Heras, L.: Characterization of wireless propagation in complex indoor environments. Alizadeh-Shabdiz, F., Jones, R.K., Morgan, E.J., Shean, M.G.: U.S. Patent No. 8,965,412. Washington, DC: U.S. Patent and Trademark Office (2015)

    Google Scholar 

  15. Steinmetzer, D., Classen, J., Hollick, M.: mmTrace: modeling millimeter-wave indoor propagation with image-based ray-tracing. In: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 429–434. IEEE, April 2016

    Google Scholar 

  16. Obeidat, H., et al.: Performance comparative study between vector and ECOLOCATION algorithms for indoor positioning. In: Internet Technologies and Applications (ITA), 2017, pp. 230–234. IEEE, September 2017

    Google Scholar 

  17. Xia, B., Lai, Z., Villemaud, G., Zhang, J.: Joint ray launching method for outdoor to indoor propagation prediction based on interpolation. In: 2015 9th European Conference on Antennas and Propagation (EuCAP), pp. 1–5. IEEE, May 2015

    Google Scholar 

  18. Depatla, S., Muralidharan, A., Mostofi, Y.: Occupancy estimation using only wifi power measurements. IEEE J. Sel. Areas Commun. 33(7), 1381–1393 (2015). 7&2

    Article  Google Scholar 

  19. Liao, Q.: Ray-tracing based analysis of channel characteristics and capacity improvement capabilities of spatial multiplexing and beam forming at 15 and 28 GHz. Master thesis, Department of Electrical and Information Technology, Lund University (2016)

    Google Scholar 

  20. REMCOM. (2018) Wireless insite 3D wireless predictionsoftware. https://www.remcom.com/. wireless-insite-em-propagation-software

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Acknowledgements

The authors would like to thank Dr. Raed A. Abd-Alhmeed (School of Engineering and Informatics, University of Bradford, UK) for supporting this work. Also, the acknowledgment is extended to the computer lab. Staff.

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Correspondence to Rawaa Akram Mohammed .

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Mohammed, R.A., Al-Nakkash, A.H., Salim, O.N.M. (2020). A Comprehensive Study of the Environmental Effects on WiFi Received Signal Strength: Lab Scenario. In: Khalaf, M., Al-Jumeily, D., Lisitsa, A. (eds) Applied Computing to Support Industry: Innovation and Technology. ACRIT 2019. Communications in Computer and Information Science, vol 1174. Springer, Cham. https://doi.org/10.1007/978-3-030-38752-5_35

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  • DOI: https://doi.org/10.1007/978-3-030-38752-5_35

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-38752-5

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