论文标题
使用空中IRS的无线网络中信息最小化的加权总和年龄
Weighted Sum Age of Information Minimization in Wireless Networks with Aerial IRS
论文作者
论文摘要
在这封信中，我们分析了陆地无线通信网络，该网络由空中智能反射表面（IRS）辅助。我们考虑在地面基站（BS）的数据包调度问题，该问题旨在通过根据AOI选择数据包来改善信息的新鲜度。为了进一步提高沟通质量，带有IRS的无人机（UAV）的轨迹通过关节主动和被动波束形成设计进行了优化。为了解决公式的非凸问题，我们提出了基于连续凸近似（SCA）算法的迭代交替优化问题。仿真结果显示了加权总和AOI方面的显着性能提高，而SCA解决方案迅速收敛，计算复杂性低。
In this letter, we analyze a terrestrial wireless communication network assisted by an aerial intelligent reflecting surface (IRS). We consider a packet scheduling problem at the ground base station (BS) aimed at improving the information freshness by selecting packets based on their AoI. To further improve the communication quality, the trajectory of the unmanned aerial vehicle (UAV) which carries the IRS is optimized with joint active and passive beamforming design. To solve the formulated non-convex problem, we propose an iterative alternating optimization problem based on a successive convex approximation (SCA) algorithm. The simulation results shows significant performance improvement in terms of weighted sum AoI, and the SCA solution converges quickly with low computational complexity.
