Optimizing Multi-UAV Multi-User System Through Integrated Sensing and Communication for Age of Information (AoI) Analysis

Zhou, Yulin; Khuwaja, Aziz Altaf; Li, Xiaoting; Zhao, Nan; Chen, Yunfei

Abstract

Integrated sensing and communication enhances the spectral efficiency by using shared resources, eliminating the need for separate bandwidth allocations. Unmanned aerial vehicle (UAVs) play a key role in this, offering mobility, flexibility, and extended coverage for serving multiple users, especially in scenarios like disaster response and environmental monitoring. This paper explores multiple UAVs with integrated sensing and communication capabilities, using the Age of Information (AoI) metric to optimize resource allocation for timely data transmission. We propose two algorithms, Variable Particle Swarm Optimization (VPSO) and Twin Variable Neighborhood Particle Swarm Optimization (TVPSO), to jointly optimize power, bandwidth, and UAV trajectories to minimize AoI. Numerical results show the effects of the sensing and communication power ratio, the number of UAVs and the number of users on AoI and energy consumption. Furthermore, TVPSO is shown to outperform other PSO variants and the Deep Q Networks (DQN)-based approach, offering faster convergence and superior performance.

Citation

Zhou, Y., Khuwaja, A. A., Li, X., Zhao, N., & Chen, Y. (2024). Optimizing Multi-UAV Multi-User System Through Integrated Sensing and Communication for Age of Information (AoI) Analysis. IEEE Open Journal of the Communications Society, 5, 6918-6931. https://doi.org/10.1109/ojcoms.2024.3489873

• Journal Article Type: Article
• Acceptance Date: Oct 29, 2024
• Online Publication Date: Nov 4, 2024
• Publication Date: Nov 14, 2024
• Deposit Date: Jan 21, 2025
• Publicly Available Date: Jan 21, 2025
• Journal: IEEE Open Journal of the Communications Society
• Print ISSN: 2644-125X
• Electronic ISSN: 2644-125X
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 5
• Pages: 6918-6931
• DOI: https://doi.org/10.1109/ojcoms.2024.3489873
• Public URL: https://durham-repository.worktribe.com/output/3344210