RTPLTool: a software tool for path loss modeling in 5G outdoor systems

Cihan Barış FINDIK, (Hacettepe Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Ankara, Türkiye)
Özlem ÖZGÜN (Hacettepe Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Ankara, Türkiye)
Turkish Journal of Electrical Engineering and Computer Sciences
14 0
Yıl: 2022 Cilt: 30 Sayı: 6 Sayfa Aralığı: 2385 - 2397 Metin Dili: İngilizce DOI: 10.55730/1300-0632.3945 İndeks Tarihi: 09-12-2022

RTPLTool: a software tool for path loss modeling in 5G outdoor systems

Öz:
The increase in the required bandwidth along with the global growth of existing wireless communication systems is one of the major reasons why research and industry communities are exploring 5G and millimeter-wave frequencies. The advantages of millimeter wave frequencies for 5G applications are a wide range of accessible and unlicensed spectrum, the use of small antennas in RF applications with increasing frequency, and low losses due to the interference effects compared to the currently used frequency bands. However, due to some computational challenges especially at millimeter waves (i.e. in FR2 frequency band), it is necessary to develop efficient software tools or to adapt new approaches in existing models for efficient propagation modeling. In this work, a web-based software tool has been developed to calculate propagation or path loss for 5G outdoor systems. Terrain profile and environmental data were obtained through web-based mapping services and digital elevation data. Two different ray-tracing techniques were applied with respect to the type of area, i.e. urban and rural areas. Quasi-3D ray-tracing techniques were used by using the data obtained from OpenStreetMap (OSM) for urban microcellular environments, whereas the shooting and bouncing ray (SBR) method was employed for rural terrain profiles gathered from the digital elevation data. The results of the developed software tool were compared with some measurement results and some results obtained from a commercial software program (i.e. WinProp) by considering real propagation scenarios. The software tool was developed as an ASP.NET web application on Microsoft Visual Studio via the MATLAB SDK Compiler.
Anahtar Kelime: Fifth generation (5G) communication systems ray-tracing millimeter wavelength outdoor propagation loss wireless communication

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • [1] Wolf E, Born M. Foundations of geometrical optics. In: Principles of Optics: Electromagnetic Theory of Propaga- tion, Interference and Diffraction of Light. 1999, Cambridge University Press: Cambridge. p. 116-141.
  • [2] Rizk K, Wagen J-F, Gardiol F. Two-dimensional ray-tracing modeling for propagation prediction in microcellular environments. IEEE Transactions on Vehicular Technology, 1997; 46 (2): 508-518.
  • [3] Corr Y, Lostanlen Y, Helloco YL. A new approach for radio propagation modeling in urban environment: knife-edge diffraction combined with 2D ray-tracing. In: Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367). 2002.
  • [4] Lin H, Chou R, Lee S. Shooting and bouncing rays: calculating the RCS of an arbitrarily shaped cavity. IEEE Transactions on Antennas and Propagation 1989; 37 (2): 194-205.
  • [5] Nguyen HC, MacCartney GR, Thomas T, Rappaport TS, Vejlgaard B et al. Evaluation of Empirical Ray-Tracing Model for an Urban Outdoor Scenario at 73 GHz E-Band. In: 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall). 2014.
  • [6] Liu Z, Guo L-X . A quasi three-dimensional ray tracing method based on the virtual source tree in urban microcellular environments. Progress In Electromagnetics Research, 2011. 118.
  • [7] Solomitckii D,Gapeyenko M,Szyszkowicz SS, Andreev S, Yanikomeroglu H et al. Toward Massive Ray-Based Simu- lations of mmWave Small Cells on Open Urban Maps. IEEE Antennas and Wireless Propagation Letters, 2017; 16: 1435-1438.
  • [8] Farr TG, Rosen PA, Caro E, Crippen R, Duran R et al. The shuttle radar topography mission. Reviews of geophysics, 2007; 45 (2).
  • [9] Pagani P, Talom FT, Pajusco P, Uguen B. Geometric Optics and Uniform Theory of Diffraction. In: Ultra Wideband Radio Propagation Channels. 2008; 189-208.
  • [10] Balanis CA. Geometrical Theory of Diffraction. In: Advanced Engineering Electromagnetics. 1999: John Wiley and Sons. p. 741-848.
  • [11] Keller JB. Geometrical Theory of Diffraction*. Journal of the Optical Society of America 1962; 52 (2): 116-130.
  • [12] Kouyoumjian RG, Pathak PH. A uniform geometrical theory of diffraction for an edge in a perfectly conducting surface. Proceedings of the IEEE, 1974; 62 (11): 1448-1461.
  • [13] Luebbers R. Finite conductivity uniform GTD versus knife edge diffraction in prediction of propagation path loss. IEEE Transactions on Antennas and Propagation, 1984; 32 (1): 70-76.
  • [14] Holm PD. A new heuristic UTD diffraction coefficient for nonperfectly conducting wedges. IEEE Transactions on Antennas and Propagation 2000; 48 (8): 1211-1219.
  • [15] El-Sallabi HM, Rekanos IT, Vainikainen P. A new heuristic diffraction coefficient for lossy dielectric wedges at normal incidence. IEEE Antennas and Wireless Propagation Letters, 2002; 1: 165-168.
  • [16] El-Sallabi HM, Vainikainen P. Improvements to diffraction coefficient for non-perfectly conducting wedges. IEEE Transactions on Antennas and Propagation, 2005; 53 (9): 3105-3109.
  • [17] Bhattacharyya AK. High Frequency Electromagnetic Techniques Recent Advances and Applications, Wiley, 1995
  • [18] Ufimtsev PY. Theory of Edge Diffraction in Electromagnetics, Tech Science Press, 2003
  • [19] Imai T. A Survey of Efficient Ray-Tracing Techniques for Mobile Radio Propagation Analysis. IEICE Transactions on Communications 2017; E100.B (5): 666-679.
  • [20] Zhang Z, Guo L, Liu Z. An improved algorithm of reverse ray tracing for radio propagation prediction in urban. In: 2011 IEEE International Conference on Microwave Technology & Computational Electromagnetics. 2011.
  • [21] Feng Y, Guo L, Wang P, Liu Z. Efficient ray-tracing model for propagation prediction for microcellular wireless communication systems. in ISAPE2012. 2012.
  • [22] Alwajeeh T, Combeau P, Vauzelle R, Bounceur A. A high-speed 2.5D ray-tracing propagation model for microcellular systems, application: Smart cities. In: 2017 11th European Conference on Antennas and Propagation (EUCAP). 2017.
  • [23] Athanasiadou GE, Nix AR, McGeehan JP. A microcellular ray-tracing propagation model and evaluation of its narrow-band and wide-band predictions. IEEE Journal on Selected Areas in Communications, 2000; 18 (3):322-335.
  • [24] Hae-Won S, Noh-Hoon M. A deterministic ray tube method for microcellular wave propagation prediction model. IEEE Transactions on Antennas and Propagation 1999; 47 (8):1344-1350.
  • [25] Maurer J, Drumm O, Didascalou D, Wiesbeck W. A novel approach in the determination of visible surfaces in 3D vector geometries for ray-optical wave propagation modelling. In: VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026). 2000.
  • [26] Formella A, Aguado F, Hernando JM. Acceleration Techniques for Ray-Path Searching in Urban and Suburban Environments to Implement Efficient Radio Propagation Simulators. 1999.
  • [27] Liu ZY, LX Guo, Fan TQ. Microcellular propagation prediction model based on an improved ray tracing algorithm. Journal of the Optical Society of America A, 2013; 30 (11): 2372-2380.
  • [28] Schettino DN, Moreira FJS , Rego CG. Efficient Ray Tracing for Radio Channel Characterization of Urban Scenarios. IEEE Transactions on Magnetics 2007; 43 (4): 1305-1308.
  • [29] Hrovat A, Vilhar A, Ozimek I, Javornik T. Shooting and bouncing ray approach for 4G radio network planning. International Journal of Communication 2012; 6: 166-174.
  • [30] Möller T, Trumbore B. Fast, Minimum Storage Ray-Triangle Intersection. Journal of Graphics Tools, 2005. 2.
  • [31] Schaubach KR, Davis NJ. Microcellular radio-channel propagation prediction. IEEE Antennas and Propagation Magazine, 1994;36 (4): 25-34.
  • [32] Wang G, Liu Y, Li S, Zhang X, Chen Z. Study on the outdoor wave propagation at 28GHz by ray tracing method. In: 2016 IEEE International Conference on Microwave and Millimeter Wave Technology (ICMMT). 2016.
  • [33] Soni S., Bhattacharya A. An efficient two-dimensional ray-tracing algorithm for modeling of urban microcellular environments. Aeu-international Journal of Electronics and Communications - AEU-INT J ELECTRON COMMUN, 2012. 66.
  • [34] Park J, Liang J, Lee J, Kwon H, Kim M et al. Millimeter-wave channel model parameters for urban microcellular environment based on 28 and 38 GHz measurements. In: 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). 2016.
  • [35] Lee J, Choi J, Lee J, Kim S. 28 GHz Millimeter-Wave Channel Models in Urban Microcell Environment Using Three-Dimensional Ray Tracing. IEEE Antennas and Wireless Propagation Letters, 2018; 17 (3): 426-429.
  • [36] Whitteker JH. Measurements of path loss at 910 MHz for proposed microcell urban mobile systems. IEEE Trans- actions on Vehicular Technology, 1988;37 (3): 125-129.
  • [37] Wahl R, Wölfle G, Wertz P, Wildbolz P, Landstorfer F. Dominant Path Prediction Model for Urban Scenarios. 14th IST Mobile and Wireless Communications Summit, Dresden (Germany), 2005.
  • [38] Iwama T, Mizuno M. Prediction of urban propagation characteristics for low base-station antennas. 1995;78 (2):107- 116.
  • [39] Liu Z, Guo L-X, Tao W. Full automatic preprocessing of digital map for 2.5D ray tracing propagation model in urban microcellular environment. Waves in Random and Complex Media, 2013. 23
APA Fındık C, Ozgun O (2022). RTPLTool: a software tool for path loss modeling in 5G outdoor systems. , 2385 - 2397. 10.55730/1300-0632.3945
Chicago Fındık Cihan Barış,Ozgun Ozlem RTPLTool: a software tool for path loss modeling in 5G outdoor systems. (2022): 2385 - 2397. 10.55730/1300-0632.3945
MLA Fındık Cihan Barış,Ozgun Ozlem RTPLTool: a software tool for path loss modeling in 5G outdoor systems. , 2022, ss.2385 - 2397. 10.55730/1300-0632.3945
AMA Fındık C,Ozgun O RTPLTool: a software tool for path loss modeling in 5G outdoor systems. . 2022; 2385 - 2397. 10.55730/1300-0632.3945
Vancouver Fındık C,Ozgun O RTPLTool: a software tool for path loss modeling in 5G outdoor systems. . 2022; 2385 - 2397. 10.55730/1300-0632.3945
IEEE Fındık C,Ozgun O "RTPLTool: a software tool for path loss modeling in 5G outdoor systems." , ss.2385 - 2397, 2022. 10.55730/1300-0632.3945
ISNAD Fındık, Cihan Barış - Ozgun, Ozlem. "RTPLTool: a software tool for path loss modeling in 5G outdoor systems". (2022), 2385-2397. https://doi.org/10.55730/1300-0632.3945
APA Fındık C, Ozgun O (2022). RTPLTool: a software tool for path loss modeling in 5G outdoor systems. Turkish Journal of Electrical Engineering and Computer Sciences, 30(6), 2385 - 2397. 10.55730/1300-0632.3945
Chicago Fındık Cihan Barış,Ozgun Ozlem RTPLTool: a software tool for path loss modeling in 5G outdoor systems. Turkish Journal of Electrical Engineering and Computer Sciences 30, no.6 (2022): 2385 - 2397. 10.55730/1300-0632.3945
MLA Fındık Cihan Barış,Ozgun Ozlem RTPLTool: a software tool for path loss modeling in 5G outdoor systems. Turkish Journal of Electrical Engineering and Computer Sciences, vol.30, no.6, 2022, ss.2385 - 2397. 10.55730/1300-0632.3945
AMA Fındık C,Ozgun O RTPLTool: a software tool for path loss modeling in 5G outdoor systems. Turkish Journal of Electrical Engineering and Computer Sciences. 2022; 30(6): 2385 - 2397. 10.55730/1300-0632.3945
Vancouver Fındık C,Ozgun O RTPLTool: a software tool for path loss modeling in 5G outdoor systems. Turkish Journal of Electrical Engineering and Computer Sciences. 2022; 30(6): 2385 - 2397. 10.55730/1300-0632.3945
IEEE Fındık C,Ozgun O "RTPLTool: a software tool for path loss modeling in 5G outdoor systems." Turkish Journal of Electrical Engineering and Computer Sciences, 30, ss.2385 - 2397, 2022. 10.55730/1300-0632.3945
ISNAD Fındık, Cihan Barış - Ozgun, Ozlem. "RTPLTool: a software tool for path loss modeling in 5G outdoor systems". Turkish Journal of Electrical Engineering and Computer Sciences 30/6 (2022), 2385-2397. https://doi.org/10.55730/1300-0632.3945
Sayfa Oluşturulma Tarihi
24-04-2024 4:51

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