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Estimating the pathloss and signal strength of the transmitted signal at specific distances is one of the main objectives of network designers. This paper aims to provide generalized pathloss models appropriate for urban areas in Muscat the capital city of the Sultanate of Oman environment. The research includes studying different models of pathloss for the 4G cellular network at Muttrah Business District (MBD) at Muscat. Different models (Free Space model, Okumura Hata, Extended Sakagami, Cost231 Hata, ECC-33 Hata – Okumura extended, Ericsson, Egli, and SUI) are used with 800MHz. The results of the prediction models are compared with real measured data by calculating RMSE. The generalized models are created by modified original models to get accepted RMSE values. Different cells at MBD are tested by modified models. The RMSE values are then calculated for verification purposes. To validate the modified pathloss models of 4G, they are also applied at different cells in a different city in the capital. It has approximately the same environment as MBD. The modified pathloss models provided accepted predictions in new locations.
Słowa kluczowe
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Tom
Strony
137--143
Opis fizyczny
Bibliogr. 20 poz., tab., wykr.
Twórcy
autor
- PG student at SQU, Muscat, Sultanate of Oman
autor
- ECE Department at College of Engineering at SQU, Muscat, Sultanate of Oman
autor
- ECE Department at College of Engineering at SQU, Muscat, Sultanate of Oman
autor
- ECE Department at College of Engineering at SQU, Muscat, Sultanate of Oman
Bibliografia
- [1] M. Terre, M. Pischella, and E. Vivier, Wireless Telecommunication Systems: Wiley-ISTE, 2013. https://doi.org/10.1002/9781118625422.ch7
- [2] S. Ajose and A. Imoize, "Propagation measurements and modelling at 1800 MHz in Lagos Nigeria," International Journal of Wireless and Mobile Computing, vol. 6, pp. 165-174, 05/01 2013. https://doi.org/10.1504/IJWMC.2013.054042
- [3] W. Jianhui and Y. Dongfeng, "Propagation measurements and modeling in Jinan city," in Ninth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (Cat. No.98TH8361), 1998, pp. 1157-1160 vol. 3. https://doi.org/10.1109/PIMRC.1998.731360
- [4] Black, Bruce A., DiPiazza, Philip S., Ferguson, Voltmer, et al., Introduction to Wireless Systems: Prentice Hall, 2008.
- [5] T. Rappaport, Wireless Communications: Principles and Practice: Prentice Hall PTR, 2001.
- [6] D. Gadze, K. Agyekum, S. Nuagah, E. Affum, and A. Leo, "Improved Propagation Models for LTE Path Loss Prediction in Urban & Suburban Ghana," International Journal of Wireless & Mobile Networks, vol. 11, p. 20, 12/30 2019.
- [7] H. K. Hoomod, I. Al-Mejibli, and A. I. Jabboory, "Analyzing Study of Path loss Propagation Models in Wireless Communications at 0.8 GHz," Journal of Physics: Conference Series, vol. 1003, p. 012028, 2018/05 2018. https://doi.org/10.1088/1742-6596/1003/1/012028
- [8] A. Imoize and A. Dosunmu, "Path Loss Characterization of Long Term Evolution Network for Lagos, Nigeria," Jordan Journal of Electrical Engineering, vol. 4, pp. 114-128, 06/01 2018.
- [9] A. Zreikat and M. Djordjevic, "Performance Analysis of Path loss Prediction Models in Wireless Mobile Networks in Different Propagation Environments," in Proceedings of the 3rd World Congress on Electrical Engineering and Computer Systems and Science (EECSS'17), Rome, Italy, 2017, pp. 103-1-103-11. https://doi.org/10.11159/vmw17.103
- [10] M. Hamid, "Measurement Based Statistical Model for Path Loss Prediction for Relaying Systems Operating in 1900 MHz Band," Doctorate, Semantic Scholar, 2014.
- [11] Z. Nadir, H. A. Lawati, and M. A. Rashdi, "Propagation Measurements and Pertinency of Models for Communications Systems in Oman " American Journal of Science & Engineering (AJSE), vol. 1, 2020. https://doi.org/10.15864/ajse.1403
- [12] M. Mollel and M. Kisangiri, "Comparison of Empirical Propagation Path Loss Models for Mobile Communication," Computer Engineering and Intelligent Systems, vol. 5, 01/01 2014.
- [13] Z. Nadir and M. Bait-Suwailam, "Pathloss Analysis at 900 MHz for Outdoor Environment," presented at the International Conference on Communications, Signal Processing and Computers, 2014.
- [14] A. Olukunle, A. Folasade, Semire, and A. Kayode, "Performance Analysis and Optimization of Cost 231-Hata Model for Mobile Communication in Nigeria," International Journal of Computer Applications, pp. 975-8887, 09/01 2017.
- [15] P. Kumar, B. Patil, and S. Ram, "Selection of Radio Propagation Model for Long Term Evolution (LTE) Network," International Journal of Engineering Research and General Science vol. 3, 2015.
- [16] S. A. Siddiqui, N. Fatima, and A. Ahmad, "Comparative Analysis Of Propagation Path Loss Models In Lte Networks," in 2019 International Conference on Power Electronics, Control and Automation (ICPECA), 2019, pp. 1-3. https://doi.org/10.1109/ICPECA47973.2019.8975464
- [17] A. Adekunle, Y. K. Abimiku, N. M. Umeobika, and E. E. Ameh, "Radio Wave Detection Using Cost 231-Hata Model for Wireless Network Planning; A Case Study of Senate Building Environs of Unilag, Nigeria," International Journal of Advances in Scientific Research and Engineering, IJASRE (ISSN: 2454-8006), vol. 4, pp. 107-113, 12/05 2018. https://doi.org/10.31695/IJASRE.2018.32992
- [18] N. Nkordeh, P. A. Atayero, F. Idachaba, and O. Oni, "LTE Network Planning using the Hata-Okumura and the COST-231 Hata Pathloss Models," in World Congress on Engineering 2014, London, UK, 2014, pp. 705-709.
- [19] B. Sridhar and M. Z. A. Khan, "RMSE comparison of path loss models for UHF/VHF bands in India," in 2014 IEEE REGION 10 SYMPOSIUM, 2014, pp. 330-335. https://doi.org/10.1109/TENCONSpring.2014.6863052
- [20] A. Ekanem, "Analysis of Pathloss Exponent Impact on the Effective Path Length of Microwave Link Based on Stanford University Interim Pathloss Model," International Multilingual Journal of Science and Technology (IMJST), vol. 5, pp. 2528-9810, 01/01 2020.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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