Fundamental CRB-Rate Tradeoff in Multi-Antenna ISAC Systems with Information Multicasting and Multi-Target Sensing

TL;DR

This paper explores the fundamental tradeoff between data transmission rate and sensing accuracy in a multi-antenna ISAC system that performs simultaneous multicasting and multi-target sensing, providing theoretical insights into system limits.

Contribution

It introduces a comprehensive analysis of the rate-CRB tradeoff in multi-antenna ISAC systems with different target knowledge scenarios, highlighting the fundamental limits.

Findings

Characterizes the capacity-CRB tradeoff for multi-target sensing

Analyzes scenarios with and without prior target knowledge

Provides theoretical bounds for system performance

Abstract

This paper investigates the performance tradeoff for a multi-antenna integrated sensing and communication (ISAC) system with simultaneous information multicasting and multi-target sensing, in which a multi-antenna base station (BS) sends the common information messages to a set of single-antenna communication users (CUs) and estimates the parameters of multiple sensing targets based on the echo signals concurrently. We consider two target sensing scenarios without and with prior target knowledge at the BS, in which the BS is interested in estimating the complete multi-target response matrix and the target reflection coefficients/angles, respectively. First, we consider the capacity-achieving transmission and characterize the fundamental tradeoff between the achievable rate and the multi-target estimation Cram\'er-Rao bound (CRB) accordingly.