Comparative Analysis for Radio Channel Propagation Models in the City of Tripoli/ Libya for 4G/LTE Networks

Authors

  • Asma Abdurahman Department of Electrical and Electronic Engineering, Gharyan University, Gharyan, Libya
  • Monera Salah TeleWorld Solutions, Chantilly, VA, USA
  • Khalid Aljledi Great Made River Project, Tripoli, Libya
  • Maram Salah Alrezzagi Department of Electrical and Electronic Engineering, Gharyan University, Gharyan, Libya

DOI:

https://doi.org/10.53375/ijecer.2023.365

Keywords:

4G/LTE, Path loss, Okumura Hata, Propagation models

Abstract

The accurate prediction of radio channel propagation is one of the most important factors for the design and optimization of wireless communication systems. Path loss is the key element to design appropriate propagation model. There are different propagation  models used to predict path loss, however, inaccurate propagation model may result in unsatisfactory services for the Global System for Mobile communications (GSM) network. These include low data rates, high co-channel interference, and wasted received power.
This paper presents a comparative analysis of radio channel propagation models specifically for urban environment. The aim is to evaluate and compare the performance of various models and accurately predict path loss and signal behavior in urban settings. The research focuses on adapting the Okumura-Hata model which is used by the Libya Telecom and Technology Company (LTT) for Long Term Evolution (LTE) technology in the GSM Band. This study is based on real time measurements collected in downtown Tripoli in Libya. It suggests considering other models, such as Standard Propagation Model (SPM), Cost-231, and Ericsson. Using MATLAB for simulation, the findings indicate that SPM model is the best fit especially when distance is over ~22 Km.

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Published

15.12.2023

How to Cite

Abdurahman, A., Salah, M., Aljledi, K., & Alrezzagi, M. S. (2023). Comparative Analysis for Radio Channel Propagation Models in the City of Tripoli/ Libya for 4G/LTE Networks. International Journal of Electrical and Computer Engineering Research, 3(4), 1–7. https://doi.org/10.53375/ijecer.2023.365