Radar Operating Metrics and Network Throughput for Integrated Sensing and Communications in Millimeter-wave Urban Environments

TL;DR

This paper analyzes how radar parameters affect network throughput in millimeter-wave integrated sensing and communication systems, using stochastic geometry and simulations to optimize performance in urban environments.

Contribution

It introduces a stochastic geometry framework to evaluate radar metrics and network throughput, providing insights for optimizing ISAC system design.

Findings

Radar duty cycle impacts communication throughput.

Optimal beamwidth enhances target detection and data rates.

Simulation results validate the analytical model.

Abstract

Millimeter wave integrated sensing and communication (ISAC) systems are being researched for next-generation intelligent transportation systems. Here, radar and communication functionalities share a common spectrum and hardware resources in a time-multiplexed manner. The objective of the radar is to first scan the angular search space and detect and localize mobile users/targets in the presence of discrete clutter scatterers. Subsequently, this information is used to direct highly directional beams toward these mobile users for communication service. The choice of radar parameters such as the radar duty cycle and the corresponding beamwidth are critical for realizing high communication throughput. In this work, we use the stochastic geometry-based mathematical framework to analyze the radar operating metrics as a function of diverse radar, target, and clutter parameters and subsequently use these results to study the network throughput of the ISAC system. The results are validated through Monte Carlo simulations.