Power Control Design for ISAC Optimization in User-Target-Centric Cell-Free mMIMO Networks

TL;DR

This paper proposes a power control strategy for cell-free massive MIMO systems that integrate sensing and communication, optimizing data rate and sensing performance simultaneously in user- and target-centric scenarios.

Contribution

It introduces a novel power control design for ISAC in CF-mMIMO, incorporating a target-centric approach and deriving sensing SNR metrics for improved system performance.

Findings

Outperforms orthogonal resource algorithms in simulations

Maximizes achievable data rate and sensing SNR

Demonstrates the effectiveness of ISAC in CF-mMIMO networks

Abstract

This paper addresses the power control design for a cell-free massive MIMO (CF-mMIMO) system that performs integrated sensing and communications (ISAC). Specifically, the case where many access points are deployed to simultaneously communicate with mobile users and monitor the surrounding environment at the same time-frequency slot is considered. On top of the user-centric architecture used for the data services, a target-centric approach is introduced for the detection tasks. As a valuable performance metric, we derive the receive sensing signal-to-noise (SNR) ratio under generalized likelihood ratio test processing. Based on that, we formulate a quality-of-service (QoS) scheme that maximizes the two figures of merit: achievable data rate and effective sensing SNR. Simulations demonstrate that our proposal surpasses orthogonal resource algorithms, underscoring the potential of ISAC-enabled CF-mMIMO networks.