Target Sensing Performance in Disaster-Specific ISAC Networks

TL;DR

This paper proposes a mobile ISAC network tailored for disaster scenarios, using stochastic geometry to analyze sensing coverage and service continuity, thereby addressing the unique challenges of dynamic disaster environments.

Contribution

It introduces a novel disaster-specific ISAC network design with analytical coverage models and a new performance metric for sensing service continuity.

Findings

Analytical expressions for sensing coverage in disaster scenarios.

Validation of models through simulations.

Insights into optimal network design for disaster monitoring.

Abstract

As sixth-generation (6G) wireless technology emerges, integrated sensing and communication (ISAC) networks offer significant potential for enhancing real-time monitoring in disaster areas. However, existing ISAC approaches often fail to address the unique challenges of dynamic and cluttered disaster areas, resulting in limited sensing coverage and interruptions in sensing service. To address these limitations, this work proposes a mobile ISAC network specifically designed for disaster scenarios. By leveraging stochastic geometry, we derive closed-form expressions for sensing coverage and introduce a novel performance metric to evaluate sensing service continuity. Simulation results validate the analytical derivations and offer key insights into network design.