论文标题
在恶意干扰下，针对IRS辅助无人机通信的轨迹和传输功率优化
Trajectory and Transmit Power Optimization for IRS-Assisted UAV Communication under Malicious Jamming
论文作者
论文摘要
在这封信中，我们调查了一个无人机（UAV）通信系统，该系统部署了智能反射表面（IRS），以协助在干扰器的情况下从地面节点（GN）传输到无人机。我们的目标是通过共同优化GN的发射功率，IRS的被动横梁成形和无人机的轨迹来最大化无人机通信的平均速率。但是，由于非凸目标函数和耦合的优化变量，因此很难解决该法式问题。因此，为了解决它，我们提出了一种基于连续的凸近似（SCA）和半芬特弛豫（SDR）技术的基于交替的优化（AO）算法。模拟结果表明，与基准算法相比，所提出的算法可以显着提高平均速率。此外，它还表明，当干扰功率较大并且IRS元素的数量相对较小时，部署了IRS在干扰器附近的表现优于在GN附近部署它，反之亦然。
In this letter, we investigate an unmanned aerial vehicle (UAV) communication system, where an intelligent reflecting surface (IRS) is deployed to assist in the transmission from a ground node (GN) to the UAV in the presence of a jammer. We aim to maximize the average rate of the UAV communication by jointly optimizing the GN's transmit power, the IRS's passive beamforming and the UAV's trajectory. However, the formulated problem is difficult to solve due to the non-convex objective function and the coupled optimization variables. Thus, to tackle it, we propose an alternating optimization (AO) based algorithm by exploiting the successive convex approximation (SCA) and semidefinite relaxation (SDR) techniques. Simulation results show that the proposed algorithm can significantly improve the average rate compared with the benchmark algorithms. Moreover, it also shows that when the jamming power is large and the number of IRS elements is relatively small, deploying the IRS near the jammer outperforms deploying it near the GN, and vice versa.
