Cell-Free Massive MIMO for Joint Communication and Proactive Monitoring

Fuente: arXiv
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Main Authors: Abbas, Mustafa S., Mobini, Zahra, Hashempour, Hamid Reza, Ngo, Hien Quoc, Matthaiou, Michail
Format: Preprint
Published: 2026
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author Abbas, Mustafa S.
Mobini, Zahra
Hashempour, Hamid Reza
Ngo, Hien Quoc
Matthaiou, Michail
author_facet Abbas, Mustafa S.
Mobini, Zahra
Hashempour, Hamid Reza
Ngo, Hien Quoc
Matthaiou, Michail
contents This paper introduces a novel joint communication and proactive monitoring (JCAM) system that simultaneously monitors multiple untrusted links and serves multiple legitimate users. The system leverages a cell-free massive multiple-input multiple-output (CF-mMIMO) architecture, where one subset of access points (APs) is dedicated to receiving signals from untrusted links, while another subset transmits data to legitimate users and jamming signals into the untrusted links. This dual functionality not only ensures reliable communication for legitimate users but also degrades the performance of untrusted links, thereby enhancing monitoring effectiveness. Closed-form expressions for the spectral efficiency (SE) of legitimate users and the monitoring success probability (MSP) are derived under partial zero-forcing (PZF) precoding/combining schemes with imperfect channel state information. Leveraging these expressions, we develop a simple yet effective AP mode assignment strategy that determines which APs perform downlink transmission and jamming, and which APs are dedicated to receiving signals from untrusted links. The objective is to maximize the MSP while satisfying predefined quality-of-service (QoS) requirements for all legitimate users. Numerical results show that the proposed mode assignment strategy significantly outperforms the benchmark, achieving up to a $32\%$ improvement in monitoring performance, while maintaining low computational complexity. Moreover, our proposed JCAM framework provides nearly a six-fold improvement in the minimum MSP over the co-located massive MIMO baseline.
format Preprint
id arxiv_https___arxiv_org_abs_2604_04210
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Cell-Free Massive MIMO for Joint Communication and Proactive Monitoring
Abbas, Mustafa S.
Mobini, Zahra
Hashempour, Hamid Reza
Ngo, Hien Quoc
Matthaiou, Michail
Signal Processing
This paper introduces a novel joint communication and proactive monitoring (JCAM) system that simultaneously monitors multiple untrusted links and serves multiple legitimate users. The system leverages a cell-free massive multiple-input multiple-output (CF-mMIMO) architecture, where one subset of access points (APs) is dedicated to receiving signals from untrusted links, while another subset transmits data to legitimate users and jamming signals into the untrusted links. This dual functionality not only ensures reliable communication for legitimate users but also degrades the performance of untrusted links, thereby enhancing monitoring effectiveness. Closed-form expressions for the spectral efficiency (SE) of legitimate users and the monitoring success probability (MSP) are derived under partial zero-forcing (PZF) precoding/combining schemes with imperfect channel state information. Leveraging these expressions, we develop a simple yet effective AP mode assignment strategy that determines which APs perform downlink transmission and jamming, and which APs are dedicated to receiving signals from untrusted links. The objective is to maximize the MSP while satisfying predefined quality-of-service (QoS) requirements for all legitimate users. Numerical results show that the proposed mode assignment strategy significantly outperforms the benchmark, achieving up to a $32\%$ improvement in monitoring performance, while maintaining low computational complexity. Moreover, our proposed JCAM framework provides nearly a six-fold improvement in the minimum MSP over the co-located massive MIMO baseline.
title Cell-Free Massive MIMO for Joint Communication and Proactive Monitoring
topic Signal Processing
url https://arxiv.org/abs/2604.04210