Sensing Performance Analysis in Cooperative Air-Ground ISAC Networks for LAE

TL;DR

This work analyzes area radar detection probability (ARDCP) under a CFAR criterion in cooperative air-ground ISAC networks. It develops an aggregated sensing interference model, showing that the strongest-interferer approximation is insufficient in dense deployments and proposing a truncated-stable distribution approach alongside a stable-distribution benchmark. A CFAR-based ARDCP is derived (Theorem 1) and parameterized via cumulant matching, with validation through Monte Carlo simulations that confirm the regimes where SIA or TSD best describe interference. The results offer practical guidance for designing cooperative beamforming and interference management strategies to enable reliable sensing in low-altitude economy scenarios.

Abstract

To support the development of low altitude economy, the air-ground integrated sensing and communication (ISAC) networks need to be constructed to provide reliable and robust communication and sensing services. In this paper, the sensing capabilities in the cooperative air-ground ISAC networks are evaluated in terms of area radar detection coverage probability under a constant false alarm rate, where the distribution of aggregated sensing interferences is analyzed as a key intermediate result. Compared with the analysis based on the strongest interferer approximation, taking the aggregated sensing interference into consideration is better suited for pico-cell scenarios with high base station density. Simulations are conducted to validate the analysis.

Figures (3)

• Figure 1: Air-ground ISAC networks with terrestrial CUs and aerial STs jiang2025network.
• Figure 2: Distribution approximation of the aggregated sensing interference under different cases, where $\lambda_B$ is in units of $\mathrm{BSs/m}^2$.
• Figure 3: ARDCP with varying BS heights and cooperative BS cluster sizes.