Implementation of an LTE Network designed for downtown of Gharyan city using Mentum Planet based on PGM & Q9 models

Abstract

With the growing demand for fast and reliable telecommunications infrastructure, deploying a Long-Term Evolution (LTE) network has become a necessity to support both economic and social development. This paper presents three proposed layouts for designing an LTE network in the downtown area of Gharyan, which represents the city’s central and most densely populated zone. The project was motivated by the uneven distribution of coverage across the area, where several locations experience either a complete lack of service or very weak signal reception. The aim is to support the city’s digital transformation by improving access to mobile internet and data services, which in turn enhances business performance, emergency response, public service efficiency, education, remote learning, telemedicine, and remote work opportunities. To implement this plan, the design process relied on Mentum Planet software, a tool specialized in mobile network planning, using real-world terrain and signal data provided by Almadar Company. Three different network layout designs were simulated using two built-in propagation models: the Planet General Model (PGM) and the Q9 model. These simulations were conducted to assess signal strength and coverage across the study area. The analysis showed that one of the layouts provided significantly better signal quality and broader coverage compared to the others. Moreover, the Q9 model proved more reliable in predicting signal behavior in densely built urban settings. Based on these findings, a set of technical recommendations has been developed to guide the future implementation of LTE networks in similar environments, while also addressing challenges such as terrain variations, signal interference, and infrastructure limitations. In conclusion, this work contributes to enhancing telecommunications services in Gharyan and supports broader efforts toward innovation and digital inclusion across key sectors in the region.