Energy Management and Trajectory Optimization for UAV-Enabled Legitimate Monitoring Systems
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Abstract (arXiv)
Thanks to their quick placement and high flexibility, unmanned aerial vehicles (UAVs) can be very useful in the current and future wireless communication systems. With a growing number of smart devices and infrastructure-free communication networks, it is necessary to legitimately monitor these networks to prevent crimes. In this paper, a novel framework is proposed to exploit the flexibility of the UAV for legitimate monitoring via joint trajectory design and energy management. The system includes a suspicious transmission link with a terrestrial transmitter and a terrestrial receiver, and a UAV to monitor the suspicious link. The UAV can adjust its positions and send jamming signal to the suspicious receiver to ensure successful eavesdropping. Based on this model, we first develop an approach to minimize the overall jamming energy consumption of the UAV. Building on a judicious (re-)formulation, an alternating optimization approach is developed to compute a locally optimal solution in polynomial time. Furthermore, we model and include the propulsion power to minimize the overall energy consumption of the UAV. Leveraging the successive convex approximation method, an effective iterative approach is developed to find a feasible solution fulfilling the Karush-Kuhn-Tucker (KKT) conditions. Extensive numerical results are provided to verify the merits of the proposed schemes.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Apr 2020.
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Citing papers per year: 2022: 2; 2023: 1.
3 papers.
- 2022Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Surveycited by 28
- 2023UAV Trajectory Planning for AoI-Minimal Data Collection in UAV-Aided IoT Networks by Transformercited by 6
- 2022A Comparative Study on Energy Consumption Models for Dronescited by 1
- 2023UAV Trajectory Planning for AoI-Minimal Data Collection in UAV-Aided IoT Networks by Transformer8 Nov 2023
- 2022Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey7 Nov 2022
- 2022A Comparative Study on Energy Consumption Models for Drones30 May 2022