Rahmani Ghourtani, Mostafa orcid.org/0000-0002-7943-9977, Zhao, Junbo, Bashar, Manijeh et al. (3 more authors) (2025) Securing 5G NR Networks:Innovative Artificial Noise Methods for Protecting Cell-Free Massive MIMO. In: 2025 IEEE Wireless Communications and Networking Conference (WCNC). 2025 IEEE Wireless Communications and Networking Conference, 24-27 Mar 2025, Mico Milano Congressi. IEEE , ITA
Abstract
This paper explores the vulnerability of downlink cell-free massive MIMO systems to passive and active eavesdropping, focusing on a 5G New Radio framework. To enhance the security of downlink transmissions over the Physical Downlink Shared Channel (PDSCH) against eavesdropping threats, we propose two novel methods based on cooperative artificial noise (AN). The first approach, called cooperative artificial noise (CAN), involves all access points (APs) broadcasting AN in the null space of the users’ channel matrix to confuse potential eavesdroppers. The second approach, named partial artificial noise (PAN), divides the APs into two groups: one group cooperatively transmits AN, while the other group serves the legitimate users. Additionally, we implement three different precoding schemes for legitimate users: maximum ratio transmission, zero-forcing, and minimum mean square error. We conduct link-level simulations of wiretap channels under various frequency-selective fading scenarios and noise conditions, using tapped delay line channel models as defined by the 3GPP TR 38.901 standard. The system’s security performance is evaluated by analyzing the block error rate of legitimate users and the block success rate of eavesdroppers. Despite the limitation of having only one antenna per access point, our findings demonstrate that AN can be strategically designed through the cooperation of APs. By designing appropriate groups of APs specifically for generating AN, our second approach, PAN, significantly reduces the block successive rate of eavesdroppers, lowering it from 0.2 witho
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © IEEE 2025. This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Keywords: | Physical layer security,fading channels,5G New Radio,cell-free massive MIMO,artificial noise |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Funding Information: | Funder Grant number EPSRC EP/X01309X/1 THE DEPARTMENT FOR CULTURE, MEDIA AND SPORT TS/X013758/1 |
Depositing User: | Pure (York) |
Date Deposited: | 10 Jan 2025 12:00 |
Last Modified: | 27 Mar 2025 01:13 |
Status: | Published |
Publisher: | IEEE |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:221629 |