Modelling A 5 Km² rural area with deployment of IoT devices and user equipment

The growing presence of wireless communication in rural regions calls for the enhancement of network performance to provide stable connectivity to user equipment (UEs) and Internet of Things (IoT) devices. This study presents a simulation-based approach to modelling a 5 km² rural environment, evaluating key performance metrics such as antenna gain, path loss, and signal-to-noise ratio (SINR). Using the WINNER II radio propagation model and MATLAB simulation tools, the research simulates the spatial distribution of IoT devices and UEs, calculates received power levels, and determines the optimal placement of devices by selecting the top 50% of cells based on received power, gains, and SINR. The work also considers terrain features, atmospheric conditions, and user density for better predictive accuracy. The results provide valuable insights into rural wireless network optimization via enhanced coverage, interference minimization, and connectivity maximization for low-power IoT devices and mobile users. The results translate to better network planning and deployment strategies, facilitating efficient and cost-effective rural wireless communication systems