Energy Management and Trajectory Optimization for UAV-Enabled Legitimate Monitoring Systems

被引:43
作者
Hu, Shuyan [1 ]
Wu, Qingqing [2 ,3 ]
Wang, Xin [4 ]
机构
[1] Fudan Univ, Sch Informat Sci & Technol, State Key Lab ASIC & Syst, Shanghai 200433, Peoples R China
[2] Univ Macau, State Key Lab Internet Things Smart City, Macau 999078, Peoples R China
[3] Univ Macau, Dept Elect & Comp Engn, Macau 999078, Peoples R China
[4] Fudan Univ, Shanghai Inst Adv Commun & Data Sci, Dept Commun Sci & Engn, State Key Lab ASIC & Syst, Shanghai 200433, Peoples R China
基金
中国国家自然科学基金;
关键词
Legitimate mornitoring; energy management; solar energy harvesting; alternating optimization; successive convex approximation; RESOURCE-ALLOCATION; TRADE-OFFS; DESIGN; COMMUNICATION; SURVEILLANCE; MAXIMIZATION; SKY;
D O I
10.1109/TWC.2020.3023816
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:142 / 155
页数:14
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