An Improved Propagation Prediction Model Based on Okumura-Hata Model
The explosive development of wireless communications has brought severe challenges to radio spectrum strategy and planning. In the complex electromagnetic environment, accurate spectrum availability estimation and simulation are playing an increasingly important role in economic development. In recent decades, many researchers and engineers presented a large number of mathematical models to attempt to solve this problem. Okumura-Hata model is one of the most popular models for predicting macrocell path loss in a general flat terrain, but is poor in the mountainous terrain. This paper proposes an improved propagation prediction model based on the Okumura-Hata model, considering the effect of ductile diffraction in the hilly terrain environment. Furthermore, we designed a comparative experiment to verify the effectiveness of improved propagation prediction model. Finally, the results of simulation analysis show that this improved propagation prediction model has high accuracy result in mountains terrain environment.
KeywordsWireless communications Propagation prediction model Okumura-Hata
Thanks to the experimental data provided by the Institute of Digital Signal Processing and Software-Defined Radio, Lanzhou Jiaotong University. In addition, the authors gratefully acknowledge the financial support provided by Opening Foundation of Key Laboratory of Opto-technology and Intelligent Control (Lanzhou Jiaotong University), Ministry of Education (KFKT2018-16), Youth Science Foundation of Lanzhou Jiaotong University under Grant No. 2018003, Innovation Fund Project of Lanzhou Jiaotong University and Tianjin University under Grant No. 2018062, Scientific Research plan projects of Gansu Education Department under Grant No. 2017C-09, Lanzhou Science and Technology Bureau under Grant No. 2018-1-51.
- 3.Garg, V.: Wireless Communications & Networking. Elsevier, Amsterdam (2010)Google Scholar
- 5.Nadir, Z., Ahmad, M.I.: Pathloss determination using Okumura-Hata model and cubic regression for missing data for Oman. In: Proceedings of the International Multi-Conference of Engineering and Computer scientist, p. 2 (2010)Google Scholar
- 6.Lee, W.C.Y.: Mobile Communications Design Fundamentals. Wiley, Hoboken (2010)Google Scholar
- 8.Lee, W.C.Y.: Integrated Wireless Propagation Models. McGraw-Hill Education, New York (2015)Google Scholar