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A new method for path-loss modeling

Published online by Cambridge University Press:  22 February 2019

Qiang Li Open the ORCID record for Qiang Li [Opens in a new window] ,
Hongxin Zhang ,
Yang Lu ,
Tianyi Zheng  and
Yinghua Lv
Qiang Li
Affiliation:
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, People's Republic of China
Hongxin Zhang*
Affiliation:
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, People's Republic of China Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing, 100876, People's Republic of China
Yang Lu
Affiliation:
Global Energy Interconnection Research Institute Co., Ltd., Beijing, 102209, People's Republic of China
Tianyi Zheng
Affiliation:
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, People's Republic of China
Yinghua Lv
Affiliation:
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, People's Republic of China
*
Author for correspondence: Hongxin Zhang, E-mail: [email protected]
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Abstract

In this paper, a new path-loss model for electromagnetic wave in an indoor multipath environment is proposed based on matching coefficient, polarization matching factor, and normalized field intensity direction function. This model is called the Friis-extension (Friis-EXT) model, because it operates as the Friis model under certain conditions. In addition, in the modeling process of the path-loss in an indoor environment, the reflective surfaces in the environment and form of the antenna are considered. Afterwards, the path-loss data in an indoor corridor environment are measured, and the maximum error between the theoretical value and the measured data is <7.5 dB. Finally, the Friis-EXT model is compared with some other traditional models, and the results show that the Friis-EXT model is the best one that matches the measurement data.

Keywords

Communication channelselectromagnetic propagationfading channelspath-loss
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Issue 8 , October 2019 , pp. 739 - 746
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2019 

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References

1.Kurt, S and Tavli, B (2017) Path-loss modeling for wireless sensor networks: a review of models and comparative evaluations. IEEE Antennas and Propagation Magazine 59, 18–37.Google Scholar
2.Xu, H, Zhang, W and Yang, Y (2016) Channel measurement and modeling for the 15 GHz radio band in an indoor corridor environment. Journal of Communications and Information Networks 1, 102–108.Google Scholar
3.Degli-Esposti, V, Vitucci, EM and Martin, R (2017) A simple and versatile field prediction model for indoor and indoor-to-outdoor propagation. IEEE Access 5, 13270–13276.Google Scholar
4.Rama Rao, T, Balachander, D, Nishesh, T and Prasad, MVSN (2014) Near ground path gain measurements at 433/868/915/2400 MHz in indoor corridor for wireless sensor networks. Telecommunication Systems 56, 347–355.Google Scholar
5.Ata, OW, Shahateet, AM, Jawadeh, MI and Amro, AI (2013) An indoor propagation model based on a novel multi wall attenuation loss formula at frequencies 900 MHz and 2.4 GHz. Wireless Personal Communications 69, 23–36.Google Scholar
6.Seidel, S and Rappaport, T (1992) 914 MHz path loss prediction models for indoor wireless communications in multifloored buildings. IEEE Transactions on Antennas and Propagation 40, 207–217.Google Scholar
7.Xu, D, Zhang, J, Gao, X, Zhang, P and Wu, Y (2007) Indoor Office Propagation Measurements and Path Loss Models at 5.25 GHz. 2007 IEEE 66th Vehicular Technology Conference, Baltimore, MD, USA, 30 September–3 October 2007, pp. 1–5.Google Scholar
8.Rappaport, TS and McGillem, CD (1989) UHF fading in factories. IEEE Journal on Selected Areas in Communications 7, 40–48.Google Scholar
9.Ai, Y, Cheffena, M and Li, Q (2015) Radio Frequency Measurements and Capacity Analysis for Industrial Indoor Environments. 2015 9th European Conference on Antennas and Propagation (EuCAP), Lisbon, Portugal, 13–17 April 2015, pp. 1–5.Google Scholar
10.Egli, JJ (1957) Radio propagation above 40 MC over irregular terrain. Proceedings of the IRE 45, 1383–1391.Google Scholar
11.Joshi, GG, Dietrich, CB Jr., Anderson, CR, Newhall, WG, Davis, WA, Isaacs, J and Barnett, G (2005) Near-ground channel measurements over line-of-sight and forested paths. IEE Proceedings Microwaves, Antennas and Propagation 152, 589–596.Google Scholar
12.Okumura, Y, Ohmori, E, Kawano, T and Fukua, K (1968) Field strength and its variability in UHF and VHF land-mobile radio service. Review of the Electrical Communication Laboratory 16, 825.Google Scholar
13.Katiyar, D and Mittal, V (2014) Implementation of cellular propagation models in diverse environments. International Journal of Engineering Trends and Technology (IJETT) 15, 1–6.Google Scholar
14.Hata, M (1980) Empirical formula for propagation loss in land mobile radio services. IEEE Transactions on Vehicular Technology 29, 317–325.Google Scholar
15.Daisy, G, Zheng, Q and Magdy, IF (2017) Path loss characteristics in urban environments using ray-tracing methods. IEEE Antennas and Wireless Propagation Letters 16, 3063–3066.Google Scholar
16.Wang, D, Song, L, Kong, X and Zhang, Z (2012) Near-ground path loss measurements and modeling for wireless sensor networks at 2.4 GHz. International Journal of Distributed Sensor Networks 2012, 1–10.Google Scholar
17.Hamzah, SA, Baharudin, MF, Shah, NM, Zainal Abidin, Z and Ubin, A (2006) Indoor channel prediction and measurement for wireless local area network (WLAN) system. 2006 International Conference on Communication Technology, Guilin, China, 27–30 November 2006, pp. 1–5.Google Scholar
18.Ma, H (1997) Antenna Technology. Harbin, China: Harbin Institute of Technology Press, pp. 17–20. (In Chinese).Google Scholar
19.Song, Z, Zhang, J and Huang, Y (2003) Antennas and Radio Wave Propagation. Xi'an, China: Xi'an University of Electronic Science and Technology Press, pp. 10–15. (In Chinese).Google Scholar
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