MIMO-ISAC: Performance Analysis and Rate Region Characterization

TL;DR

This paper evaluates the performance of MIMO-based integrated sensing and communication systems, analyzing different design scenarios to understand their rate regions and diversity orders, revealing advantages over traditional frequency-division methods.

Contribution

It provides a comprehensive performance analysis and rate region characterization for MIMO-ISAC systems across various design scenarios, highlighting their superior high-SNR slopes and broader rate regions.

Findings

ISAC achieves the same diversity order as FDSAC.

ISAC has larger high-SNR slopes than FDSAC.

ISAC offers a broader SR-CR rate region.

Abstract

This article analyzes the performance of sensing and communications (S\&C) achieved by a multiple-input multiple-output downlink integrated S\&C (ISAC) system. Three ISAC scenarios are analyzed, including the sensing-centric design, communications-centric design, and Pareto optimal design. For each scenario, diversity orders and high signal-to-noise ratio slopes of the sensing rate (SR) and communication rate (CR) are derived to gain further insights. Numerical results reveal that \romannumeral1) ISAC achieves the same diversity order as existing frequency-division S\&C (FDSAC) techniques; \romannumeral2) ISAC achieves larger high-SNR slopes and a broader SR-CR region than FDSAC.