On the Performance Trade-off of Distributed Integrated Sensing and Communication Networks

TL;DR

This paper analyzes the fundamental performance trade-offs in distributed integrated sensing and communication networks using stochastic geometry, providing analytical insights and validating results through extensive simulations.

Contribution

It introduces a stochastic geometry-based analytical framework to quantify the sensing and communication performance trade-offs in distributed ISAC networks.

Findings

Derived probability of detection and coverage as functions of user number

Quantified the trade-off limits between sensing and communication performance

Validated analytical results with extensive simulations

Abstract

In this letter, we analyze the performance trade-off in distributed integrated sensing and communication (ISAC) networks. Specifically, with the aid of stochastic geometry theory, we derive the probability of detection of that of the coverage given user number. Based on the analytical derivations, we provide a quantitative description of the performance limits and the performance trade-off between sensing and communication in a distributed ISAC network under the given transmit power and bandwidth budget. Extensive simulations are conducted and the numerical results validate the accuracy of our derivations.