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

TL;DR

This paper proposes an optimization framework for minimizing weighted sum Age of Information in wireless networks aided by an aerial IRS, involving UAV trajectory and beamforming design, demonstrating significant performance gains.

Contribution

It introduces a joint optimization approach for UAV trajectory and beamforming to minimize AoI in aerial IRS-assisted wireless networks, using an iterative SCA algorithm.

Findings

Significant reduction in weighted sum AoI achieved.

Proposed algorithm converges quickly with low complexity.

Performance improvements validated through simulations.

Abstract

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.