Sensing Capacity for Integrated Sensing and Communication Systems in Low-Altitude Economy

TL;DR

This paper introduces a new sensing capacity metric for integrated sensing and communication systems in low-altitude environments, enabling better detection and scheduling of UAVs using analytical and simulation methods.

Contribution

It proposes a novel sensing capacity metric for ISAC systems, deriving closed-form and approximate solutions for UAV detection limits under SNR and PD constraints.

Findings

Analytical solutions for maximum UAV detection number derived.

Simulation results verify the accuracy of the proposed methods.

Sensing capacity metric effectively guides UAV detection in ISAC systems.

Abstract

The burgeoning significance of the low-altitude economy (LAE) has garnered considerable interest, largely fuelled by the widespread deployment of unmanned aerial vehicles (UAVs). To tackle the challenges associated with the detection of unauthorized UAVs and the efficient scheduling of authorized UAVs, this letter introduces a novel performance metric, termed sensing capacity, for integrated sensing and communication (ISAC) systems. This metric, which quantifies the capability of a base station (BS) to detect multiple UAVs simultaneously, leverages signal-to-noise ratio (SNR) and probability of detection (PD) as key intermediate variables. Through mathematical derivations, we can derive a closed-form solution for the maximum number of UAVs that can be detected by the BS while adhering to a specific SNR constraint. Furthermore, an approximate solution based on PD constraints is proposed to facilitate the efficient determination of the threshold for the maximum number of detectable UAVs. The accuracy of this analytical approach is verified through extensive simulation results.