Obstacle-Assisted Joint Optimization for UAV Covert Wireless Communication in 6G Communication Systems

抄録

In scenarios of 6G wireless communication systems, UAV-assisted covert communication can significantly enhance system performance due to its flexible deployment capabilities. However, existing researches often overlook the impact of ground obstacles on air-to-ground (A2G) channels and the optimal placement of UAVs, resulting in suboptimal communication quality for covert communication. To address this gap, we propose an obstacle-assisted UAV covert communication joint optimization method (OA-UCCJOM), optimizing the UAV’s position and transmit power with the influence of obstacles considered, to maximize communication quality between the UAV (Alice) and a legitimate ground receiver (Bob). Specifically, we account for the uneven distribution of obstacles around a ground warden (Willie) and categorize the UAV’s spatial positions into a Base Scenario and five practical scenarios based on common operating contexts. In each two-dimensional vertical plane determined by Willie, we narrow down the feasible flight region for the UAV’s optimal placement and solve the joint optimization problem in certain cases. The simulation results verify the geometric conclusions, show the advancement of our proposed OA-UCCJOM, and demonstrate that the UAV can achieve near-optimal performance at certain positions.