Multi-Static ISAC in Cell-Free Massive MIMO: Precoder Design and Privacy Assessment

TL;DR

This paper explores the design of precoders in multi-static cell-free massive MIMO ISAC networks to enhance sensing accuracy and address privacy concerns, demonstrating improved target localization over mono-static setups.

Contribution

It introduces a precoder design that jointly optimizes sensing and communication in multi-static cell-free ISAC, while assessing privacy risks from internal adversaries.

Findings

Multi-static setup improves target localization accuracy.

Precoder design balances sensing and communication needs.

Privacy risks from internal adversaries are analyzed.

Abstract

A multi-static sensing-centric integrated sensing and communication (ISAC) network can take advantage of the cell-free massive multiple-input multiple-output infrastructure to achieve remarkable diversity gains and reduced power consumption. While the conciliation of sensing and communication requirements is still a challenge, the privacy of the sensing information is a growing concern that should be seriously taken on the design of these systems to prevent other attacks. This paper tackles this issue by assessing the probability of an internal adversary to infer the target location information from the received signal by considering the design of transmit precoders that jointly optimizes the sensing and communication requirements in a multi-static-based cell-free ISAC network. Our results show that the multi-static setting facilitates a more precise estimation of the location of the target than the mono-static implementation.