Title: Optimised channel propagation modelling and ray tracing for 5G network planning in urban areas

Authors: Haymanot Derebe Bizuneh; Ram Sewak Singh; Demissie Jobir Gelmecha; Davinder Singh Rathee; Bijay Kumar Paikaray; Satyasis Mishra

Addresses: Department of Electronics and Communication Engineering, Adama Science and Technology University, Adama, 1888, Ethiopia ' Department of Electronics and Communication Engineering, Adama Science and Technology University, Adama, 1888, Ethiopia ' Department of Electronics and Communication Engineering, Adama Science and Technology University, Adama, 1888, Ethiopia ' Department of Electronics and Communication Engineering, Adama Science and Technology University, Adama, 1888, Ethiopia ' Department of Computer Science and Engineering, Centre for Data Science, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751030, India ' Department of ECE, Centurion University of Technology and Management, Odisha, 752050, India

Abstract: The increasing demand for high-speed communication in urban areas has required development of efficient optimisation methods in planning of fifth generation (5G) terrestrial mobile radio networks. The 5G terrestrial mobile radio network has been widely deployed around the world in frequency range of 3.5 GHz and 28 GHz bands. The planning of 5G terrestrial mobile radio networks involves assessing coverage for regional characteristics of different locations. This study focuses on channel propagation analysis for planning 5G terrestrial mobile radio networks in Bahir Dar City, Ethiopia. We have considered free space, atmospheric gas, rain attenuation, and close-in models to analyse propagation losses in three-dimensional urban scenarios. The results of this study have shown that close-in and free space models have best and lowest performance in signal to interference noise ratio (SINR) with 19.76 dB and 12.515 dB respectively; using ray tracing model at distance of 0.5 km and 0.041 km height of transmitters.

Keywords: mobile radio network planning; terrestrial network; propagation models; pathloss; reflection; coverage before optimisation; atmospheric models; SINR; signal to interference noise ratio; reconfigurable intelligent surfaces; offload traffic.

DOI: 10.1504/IJMNDI.2025.146757

International Journal of Mobile Network Design and Innovation, 2025 Vol.11 No.3, pp.163 - 175

Received: 20 Jan 2025
Accepted: 26 Mar 2025
Published online: 16 Jun 2025 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article