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In this letter, we analyze a terrestrial wireless communication networkassisted by an aerial intelligent reflecting surface (IRS). We consider apacket scheduling problem at the ground base station (BS) aimed at improvingthe information freshness by selecting packets based on their AoI. To furtherimprove the communication quality, the trajectory of the unmanned aerialvehicle (UAV) which carries the IRS is optimized with joint active and passivebeamforming design. To solve the formulated non-convex problem, we propose aniterative alternating optimization problem based on a successive convexapproximation (SCA) algorithm. The simulation results shows significantperformance improvement in terms of weighted sum AoI, and the SCA solutionconverges quickly with low computational complexity.

Weighted Sum Age of Information Minimization in Wireless Networks with Aerial IRS