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Abstract
The communication demand for ground communication systems is growing with the rapid development of wireless communication technology. Unmanned Aerial Vehicles (UAVs), as communication air relay nodes, can provide wide coverage communication for ground moving target (GMT). In this paper, we develop a dynamic topology adjustment system based on communication demand and resource allocation, aiming to minimize the average weighted energy consumption of GMTs and UAVs, as well as the constraints imposed by the ground target motion, communication resource allocation, and UAV flight trajectory scheduling. Since communication demand and variable time are coupled, the Shannon-Hartley theorem is employed to calculate the required transmit power, which helps in measuring the maximum data amount based on time slot, and channel gain and target index in the UAV link, and quantifying the communication energy consumption. The communication energy consumption is continuously updated during the mission execution time progress, which requires us to re-estimate the position of the UAV to ensure the accuracy and efficiency of the communication. The 0-1 programming is adopted to determine the travel direction of the UAV. The waypoints are solved by discrete inference and dynamic optimization of weight factors through the CTRV model, so as to realize real-time monitoring of UAV motion and channel usage by dynamically adjusting the UAV according to the GMT's communication resource demand. Simulation experiments verify the effectiveness of the proposed method. The results show that with the high-density access of UAVs, the efficiency and reliability of UAV communication are significantly improved, and the communication interference and packet loss rate are significantly reduced, thus the communication efficiency, data processing speed and security of the UAV system are enhanced.
Published Version
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