Abstract
In order to evaluate the unknown and illegal detecting threat intuitively for real-time covert wireless communication systems, the covert threat region is defined for the first time and the corresponding lightweight algorithm is also designed. Firstly, a system model of downlink covert wireless communication based on 3D beamforming is constructed with Rician fading channel and noise uncertainty. And then the optimal detecting performance of the enemy is analyzed, also the minimum average covert probability of the system is derived. Furthermore, after obtaining the closed-form expressions of communication rate and connection outage probability, the optimization problem for maximum covert throughput with the given position of the enemy is solved. Finally, considering the actual communication scenario where the enemys location or distribution law cannot be obtained, a new performance measurement called the covert threat region is defined, and the corresponding lightweight algorithm is designed subsequently. Simulation results verify the system covertness performance, overall performance and the performance of the proposed algorithm, and show the influence of main parameters on the covert threat region, such as background noise, channel characteristics, antenna structures, and system requirements.
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