5G Coverage Mapping with UWB Indoor Positioning

Abstract

This study investigates the use of 5G coverage mapping and signal strength assessment and UWB-based indoor positioning systems. With the widespread use of 5G networks, accurate measurement of signal strength and coverage has become critical for network optimization and improving service quality. In this context, 5G network performance was evaluated using basic signal measurement parameters such as RSSI, RSRP and RSRQ in the study. The data collection process was carried out using Android-based mobile devices and UWB (Ultra Wide Band) posi tioning technology. The collected signal strength data was processed and visualized via the Node-RED platform. In addition, low bandwidth consumption, energy efficiency and reliable data transfer were achieved by preferring the MQTT protocol. The obtained results show how 5G signal strength is distributed in indoor environments. The study provides data for the opti mization of 5G networks and can form a basis for future machine learning-based signal optimi zation and multi-floor coverage mapping studies.