ABSTRACT In 5G‐advanced and 6G networks, integrated sensing and communication (ISAC) is pivotal. However, in complex urban environments, non‐line‐of‐sight (NLOS) propagation often degrades the sensing and communication performance of ISAC system. Accordingly, we propose a UAV‐assisted ISAC system where the unmanned aerial vehicle (UAV) acts as both a sensing platform and a relay. This study derives closed‐form expressions for outage probability, communication information rate, and sensing information rate, validated via Monte Carlo simulations. We analyse the impact of UAV deployment on the weighted sum information rate and introduce the chaotic particle swarm optimization (CPSO) algorithm to optimize the UAV's position for maximizing this metric. Simulations reveal that system performance is highly sensitive to UAV placement, and adjusting weight coefficients enables an effective trade‐off between communication and sensing. The CPSO algorithm demonstrates superior stability and global search capability over standard PSO, avoiding premature convergence and enhancing overall efficiency.
Chang et al. (Thu,) studied this question.
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