Green security optimization using low-complexity clustering for cell-free network.
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| Title: | Green security optimization using low-complexity clustering for cell-free network. |
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| Authors: | Lyu, Yan1,2 (AUTHOR) ylu@seu.edu.cn, Lu, Tianyu3 (AUTHOR) t.lu@qub.ac.uk, Chen, Liquan1 (AUTHOR) lqchen@seu.edu.cn, Ma, Yang1 (AUTHOR) 230209339@seu.edu.cn, Shi, Lin1 (AUTHOR) 230209338@seu.edu.cn |
| Source: | EURASIP Journal on Wireless Communications & Networking. 1/17/2026, Vol. 2026 Issue 1, p1-21. 21p. |
| Subjects: | Physical layer security, Clustering algorithms, Mobile communication systems, Machine-to-machine communications, Eavesdropping, Energy consumption, Internet of things |
| Abstract: | Cell-free massive MIMO (CF-mMIMO) networks are notable for their flexibility, low deployment cost, and user-centric service model, making them highly suitable for emerging applications such as the Internet of things (IoT), vehicular networks, and robotic communications. However, these advantages also bring significant security challenges. In particular, the limited hardware capabilities and stringent power constraints of distributed access points (APs) hinder the implementation of complex security mechanisms, leaving the network vulnerable to eavesdropping attacks. This paper investigates physical-layer security (PLS) strategies to counter eavesdropping threats in CF networks, while jointly analyzing the impact of these strategies on energy consumption. To this end, we propose a green, low-complexity secure transmission framework based on dynamic AP clustering, aiming to maximize the secrecy energy efficiency (SEE) of the system. Monte Carlo simulations validate that the proposed method significantly improves the system SEE while ensuring all legitimate users maintain baseline secrecy rate even under eavesdropper threats. [ABSTRACT FROM AUTHOR] |
| Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193005283 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Green security optimization using low-complexity clustering for cell-free network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lyu%2C+Yan%22">Lyu, Yan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ylu@seu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Lu%2C+Tianyu%22">Lu, Tianyu</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> t.lu@qub.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Liquan%22">Chen, Liquan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lqchen@seu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ma%2C+Yang%22">Ma, Yang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 230209339@seu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Shi%2C+Lin%22">Shi, Lin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 230209338@seu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22EURASIP+Journal+on+Wireless+Communications+%26+Networking%22">EURASIP Journal on Wireless Communications & Networking</searchLink>. 1/17/2026, Vol. 2026 Issue 1, p1-21. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Physical+layer+security%22">Physical layer security</searchLink><br /><searchLink fieldCode="DE" term="%22Clustering+algorithms%22">Clustering algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+communication+systems%22">Mobile communication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Machine-to-machine+communications%22">Machine-to-machine communications</searchLink><br /><searchLink fieldCode="DE" term="%22Eavesdropping%22">Eavesdropping</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Cell-free massive MIMO (CF-mMIMO) networks are notable for their flexibility, low deployment cost, and user-centric service model, making them highly suitable for emerging applications such as the Internet of things (IoT), vehicular networks, and robotic communications. However, these advantages also bring significant security challenges. In particular, the limited hardware capabilities and stringent power constraints of distributed access points (APs) hinder the implementation of complex security mechanisms, leaving the network vulnerable to eavesdropping attacks. This paper investigates physical-layer security (PLS) strategies to counter eavesdropping threats in CF networks, while jointly analyzing the impact of these strategies on energy consumption. To this end, we propose a green, low-complexity secure transmission framework based on dynamic AP clustering, aiming to maximize the secrecy energy efficiency (SEE) of the system. Monte Carlo simulations validate that the proposed method significantly improves the system SEE while ensuring all legitimate users maintain baseline secrecy rate even under eavesdropper threats. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193005283 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13638-026-02570-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Subjects: – SubjectFull: Physical layer security Type: general – SubjectFull: Clustering algorithms Type: general – SubjectFull: Mobile communication systems Type: general – SubjectFull: Machine-to-machine communications Type: general – SubjectFull: Eavesdropping Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Internet of things Type: general Titles: – TitleFull: Green security optimization using low-complexity clustering for cell-free network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lyu, Yan – PersonEntity: Name: NameFull: Lu, Tianyu – PersonEntity: Name: NameFull: Chen, Liquan – PersonEntity: Name: NameFull: Ma, Yang – PersonEntity: Name: NameFull: Shi, Lin IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 01 Text: 1/17/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16871472 Numbering: – Type: volume Value: 2026 – Type: issue Value: 1 Titles: – TitleFull: EURASIP Journal on Wireless Communications & Networking Type: main |
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