论文标题
在IRS辅助无人机沟通中，强大的轨迹和沟通设计在恶意干扰下
Robust Trajectory and Communication Design in IRS-Assisted UAV Communication under Malicious Jamming
论文作者
论文摘要
在本文中，我们研究了一个无人机（UAV）通信系统，在该系统中，地面节点（GN）与智能反射表面（IRS）的无人机进行通信，并在存在带有不完美位置信息的干扰器的情况下进行。我们旨在通过无人机轨迹，IRS被动横梁成形和GN的功率分配的联合强大设计来提高可实现的平均速率。但是，由于其非凸度和耦合变量，该法式优化问题要解决问题。为了克服困难，我们提出了一种基于交替的优化（AO）算法来通过利用半限定弛豫（SDR），连续的凸近似值（SCA）和S-加工方法来对其进行亚次优。仿真结果表明，通过在GN附近部署IRS，我们提出的算法总是与基准算法相比，可以显着提高上行链路可实现的平均速率，而将Jammer附近部署在Jammer的位置时才有效，而在众所周知。
In this paper, we study an unmanned aerial vehicle (UAV) communication system, where a ground node (GN) communicate with a UAV assisted by intelligent reflecting surface (IRS) in the presence of a jammer with imperfect location information. We aim to improve the achievable average rate via the joint robust design of UAV trajectory, IRS passive beamforming and GN's power allocation. However, the formulated optimization problem is challenging to solve due to its non-convexity and coupled variables. To overcome the difficulty, we propose an alternating optimization (AO) based algorithm to solve it sub-optimally by leveraging semidefinite relaxation (SDR), successive convex approximation (SCA), and S-procedure methods. Simulation results show that by deploying the IRS near the GN, our proposed algorithm always improves the uplink achievable average rate significantly compared with the benchmark algorithms, while deploying the IRS nearby the jammer is effective only when the jammer's location is perfectly known.
