Channel State Information Analysis for Jamming Attack Detection in Static and Dynamic UAV Networks – An Experimental Study
Pavlo Mykytyn, Ronald Chitauro, Zoya Dyka, Peter Langendöerfer · 2025
Networks built on the IEEE 802.11 standard have experienced rapid growth in the last decade. Their field of application is vast, including smart home applications, Internet of Things (IoT), and short-range high throughput static and dynamic inter-vehicular communication networks. In this work, we conduct an experimental study on the feasibility of jamming attack detection in static and dynamic vehicular networks by using real-time Channel State Information (CSI) analysis of the communication channel. To set up a communication network between an Unmanned Aerial Vehicle (UAV) and a Ground Control Station (GCS), we utilize the ESP32-S3 modules from Espressif Systems. The configured link is then subjected to experimental testing of the constant jammer impact on the CSI parameters, including individual subcarrier amplitude attenuation, phase shift, temporal variation (jitter) and Packet Delivery Ratio (PDR) in static and dynamic conditions. Our study experimentally confirms the feasibility of jamming attack detection through CSI analysis in both static and dynamic communication scenarios.