Secure Transmission in Cell-Free Massive MIMO Under Active Eavesdropping

We study secure communications in cell-free massive multiple-input multiple-output (CF-mMIMO) systems with multi-antenna access points (APs) and protective partial zero-forcing (PPZF) precoding. In particular, we consider an active eavesdropping attack, where an eavesdropper contaminates the uplink channel estimation phase by sending an identical pilot sequence with a legitimate user of interest. We formulate an optimization problem for maximizing the received signal-to-noise ratio (SINR) at the legitimate user, subject to a maximum allowable SINR at the eavesdropper and maximum transmit power at each AP, while guaranteeing specific SINR requirements on other legitimate users. The optimization problem is solved using a path-following algorithm. We also propose a large-scale-based greedy AP selection scheme to improve the secrecy spectral efficiency (SSE). Finally, we propose a simple method for identifying the presence of an eavesdropper within the system. Our findings show that PPZF can substantially outperform the conventional maximum-ratio transmission (MRT) scheme by providing around 2-fold improvement in the SSE compared to the MRT scheme. More importantly, for PPZF precoding scheme, our proposed AP selection can achieve a remarkable SSE gain of up to 220%, while our power optimization approach can provide an additional gain of up to 55% compared with a CF-mMIMO system with equal power allocation.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2024-09-19
DOI
https://doi.org/10.1109/twc.2024.3459628
Citations
21
Primary Topic
Wireless Communication Security Techniques
Type
article
Field-Weighted Citation Impact
4.38

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article

Secure Transmission in Cell-Free Massive MIMO Under Active Eavesdropping

Michail Matthaiou, Hien Quoc Ngo, Zahra Mobini, Yasseen Sadoon Atiya
21 citations
IEEE Transactions on Wireless Communications
Wireless Communication Security Techniques
4.38
article

Secure Transmission in Cell-Free Massive MIMO Under Active Eavesdropping

Michail Matthaiou, Hien Quoc Ngo, Zahra Mobini, Yasseen Sadoon Atiya
article en
21 citations

Abstract

We study secure communications in cell-free massive multiple-input multiple-output (CF-mMIMO) systems with multi-antenna access points (APs) and protective partial zero-forcing (PPZF) precoding. In particular, we consider an active eavesdropping attack, where an eavesdropper contaminates the uplink channel estimation phase by sending an identical pilot sequence with a legitimate user of interest. We formulate an optimization problem for maximizing the received signal-to-noise ratio (SINR) at the legitimate user, subject to a maximum allowable SINR at the eavesdropper and maximum transmit power at each AP, while guaranteeing specific SINR requirements on other legitimate users. The optimization problem is solved using a path-following algorithm. We also propose a large-scale-based greedy AP selection scheme to improve the secrecy spectral efficiency (SSE). Finally, we propose a simple method for identifying the presence of an eavesdropper within the system. Our findings show that PPZF can substantially outperform the conventional maximum-ratio transmission (MRT) scheme by providing around 2-fold improvement in the SSE compared to the MRT scheme. More importantly, for PPZF precoding scheme, our proposed AP selection can achieve a remarkable SSE gain of up to 220%, while our power optimization approach can provide an additional gain of up to 55% compared with a CF-mMIMO system with equal power allocation.

IEEE Transactions on Wireless CommunicationsVol. 23(12)
Queen's University Belfast (GB)
Government of the United Kingdom, Department for the Economy, European Commission, Queen's University Belfast, Queen's University, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 5%
Wireless Communication Security Techniques
4.38
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Secure Transmission in Cell-Free Massive MIMO Under Active Eavesdropping — Michail Matthaiou, Hien Quoc Ngo, et al. · IEEE Transactions on Wireless Communications (2024) | TGRS Research Map | TGRS