3 papers
cs.NI2026
Traffic Simulation in Ad Hoc Network of Flying UAVs with Generative AI Adaptation
Andrii Grekhov, Volodymyr Kharchenko, Vasyl Kondratiuk
The purpose of this paper is to model traffic in Ad Hoc network of Unmanned Aerial Vehicles and demonstrate a way for adapting communication channel using Artificial Intelligence.…
cs.NI2026
Simulation-Based Study of AI-Assisted Channel Adaptation in UAV-Enabled Cellular Networks
Andrii Grekhov, Volodymyr Kharchenko, Vasyl Kondratiuk
This paper presents a simulation based study of Artificial Intelligence assisted communication channel adaptation in Unmanned Aerial Vehicle enabled cellular networks. The consider…
cs.IT2026
Deep Q-Network Based Resilient Drone Communication:Neutralizing First-Order Markov Jammers
Andrii Grekhov, Volodymyr Kharchenko, Vasyl Kondratiuk
Deep Reinforcement Learning based solution for jamming communications using Frequency Hopping Spread Spectrum technology in a 16 channel radio environment is presented. Deep Q Netw…