| 摘要: |
| 为应对恶意无人机窃听者对无人机通信系统带来的安全挑战，提出了一种基于物理层安全机制的无人机三维航迹规划和功率控制的协同优化方案。将航迹规划与功率控制建模为带约束的用户安全通信速率最大化问题，并将该问题分解为水平航迹规划、高度控制与功率控制三个子问题。采用连续凸逼近法将各个子问题转化为凸优化问题，通过迭代优化方式得到近似解。仿真结果表明，和二维航迹规划方案相比，该协同优化方案能有效提升用户安全通信的性能指标。 |
| 关键词: 无人机通信 窃听攻击 航迹规划 功率分配 协同优化 |
| DOI：10.20079/j.issn.1001-893x.211112005 |
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| 基金项目:国家自然科学基金资助项目 （62071304）；广东省自然科学基金项目(2017A030310462)；深圳市科创委基础研究项目（JCYJ20190808120415286） |
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| 3D trajectory design and power control for UAV-enabled communication systems against malicious UAV eavesdroppers |
| SU Gongchao,DAI Mingjun,CHEN Bin,LIN Xiaohui,WANG Hui |
| (College of Electronics and Information Engineering,Shenzhen University,Shenzhen 518060,China) |
| Abstract: |
| To provide secure data transmission for unmanned aerial vehicle(UAV) enabled communication systems against malicious UAV eavesdroppers,a joint optimization framework is proposed.The user secrecy rate is maximized by jointly optimizing 3D trajectory and power allocation of the legitimate UAV.To tackle the nonconvexity of the optimization problem,it is decomposed into three subproblems:horizonal path planning,height control and power control,respectively.These subproblems are then approximated as convex problems via the Successive Convex Approximation(SCA) method.An approximated solution is then obtained by iteratively solving these subproblems.Simulation results show that the proposed method achieves significant gains in network secrecy performance in comparison with other existing work that considers 2D trajectory only. |
| Key words: UAV communication eavesdropping attack trajectory design power allocation joint optimization |
