MATLAB GUI-Based RSSI and SNR Heatmap Visualisation for Maxis Network in Parit Raja, Johor

ASM Sc. J., 21(2), 2026

Published on July 22, 2026

https://doi.org/10.32802/asmscj.2026.1010

Author: Najwanisa Tusin, Ariffuddin Joret, Siti Zarina Mohd Muji, Fauziahanim Che Seman, Lubna Nazihah Md Lajis, Noor Azwan Shairi, Muhammad Nur Hidayat Zahari

Abstract

The increasing demand for reliable LTE (4G) connectivity in semi -urban environments necessitates a comprehensive understanding of spatial variations in network performance. Despite continuous infrastructure enhancements, signal degradation caused by terrai n characteristics, environmental obstructions, and suboptimal base station placement remains a critical issue, highlighting the need for efficient analysis and visualisation tools. This study presents a MATLAB Graphical User Interface (GUI)-based framework for spatial analysis of Received Signal Strength Indicator (RSSI) and Signal - to-Noise Ratio (SNR) in Parit Raja, Johor, which supports effective network diagnostics and data - driven optimisation for improved cellular performance. Field measurements were acquired using a MikroTik LtAP LR8G LTE6 kit with integrated GPS, enabling accurate geo -referenced data collection. The proposed system automates data preprocessing, spatial interpolation, an d heatmap visualisation to facilitate efficient and intuitive performance evaluation. The analysis of Maxis cellular coverage in Parit Raja shows that RSSI values range from −45 dBm to −85 dBm, while SNR varies between −10 dB and 30 dB. Strong signal conditions are observed in open areas, whereas weaker performance is evident in dense and obstructed environments, demonstrating significan t spatial variability.

Keywords: cellular network, heatmap, MATLAB GUI, RSSI, SNR, wireless communication