Covert Communication in UAV Assisted Symbiotic Radio Systems

Abstract

Symbiotic radio owing to its open characteristics, poses a substantial threat to system security. With the integration of unmanned aerial vehicle (UAV) technology, the challenges to enhancing the security performance of such systems become even more severe. This article first propose a covert communication enhancement framework for symbiotic radio systems, which is realized through the joint optimization of UAV trajectory planning and ground device scheduling. It analyzes the outage probability of the symbiotic radio system and the minimum detection error probability of the eavesdropper, and then constructs the problem of optimizing the maximum communication rate of UAV flight trajectory and ground equipment scheduling under concealment constraints, energy constraints, and flight constraints. Due to the approximate expression of outage probability and the non convexity of the optimization problem, online learning is used to solve the approximate optimal solution. Finally, the effectiveness and robustness of the proposed method are demonstrated through simulation analysis.