MODELING AND ANALYSIS OF INTERFERENCE IN WIRELESS DATA TRANSMISSION SYSTEMS

This paper presents a hardware and software platform for modeling and analyzing interference in wireless data transmission systems aimed at studying the reliability and stability of modern wireless communication networks. The relevance of the research is driven by the rapid growth of Internet of Things devices, the active deployment of Wi-Fi and 5G technologies, and the increasing requirements for communication quality and reliability under external electromagnetic interference conditions. The main objective of the study is to develop a universal tool for generating, simulating, and analyzing different types of interference in wireless communication channels with real-time visualization capabilities.

The hardware architecture includes a transmitter, receiver, and interference generator implemented on ESP32 microcontrollers. Software for controlling device parameters and simulation scenarios was developed in the C++ programming language using the Arduino IDE environment. Data exchange between system modules is organized through the WebSocket protocol within a unified Wi-Fi network, enabling synchronous real-time transmission and processing of signals. The paper describes the electrical schematics of the developed devices, the interaction architecture of the modules, and the operating algorithms of the system components.

The proposed platform makes it possible to simulate electromagnetic, noise, and adjacent-channel interference, analyze the influence of amplitude modulation on data transmission quality, and evaluate the stability of wireless communication channels. Experimental testing confirmed the effectiveness of the developed model and the operational reliability of the system. Due to its flexible architecture, the platform can be adapted for research on Wi-Fi, Bluetooth, and ZigBee technologies and can be effectively used in scientific and educational laboratories for developing and testing new interference mitigation methods in wireless networks.

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