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Massive MIMO-NOMA Systems Secrecy in the Presence of Active Eavesdroppers
Sharif Univ Technol, Dept Elect Engn, Tehran, Iran..
Sharif Univ Technol, Dept Elect Engn, Tehran, Iran..
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Software and Computer systems, SCS.ORCID iD: 0000-0002-3267-5374
2021 (English)In: 30th International Conference on Computer Communications and Networks (ICCCN), Institute of Electrical and Electronics Engineers (IEEE) , 2021Conference paper, Published paper (Refereed)
Abstract [en]

Non-orthogonal multiple access (NOMA) and massive multiple-input multiple-output (MIMO) systems are highly efficient. Massive MIMO systems are inherently resistant to passive attackers (eavesdroppers), thanks to transmissions directed to the desired users. However, active attackers can transmit a combination of legitimate user pilot signals during the channel estimation phase. This way they can mislead the base station (BS) to rotate the transmission in their direction, and allow them to eavesdrop during the downlink data transmission phase. In this paper, we analyse this vulnerability in an improved system model and stronger adversary assumptions, and investigate how physical layer security can mitigate such attacks and ensure secure (confidential) communication. We derive the secrecy outage probability (SOP) and a lower bound on the ergodic secrecy capacity, using stochastic geometry tools when the number of antennas in the BSs tends to infinity. We adapt the result to evaluate the secrecy performance in massive orthogonal multiple access (OMA). We find that appropriate power allocation allows NOMA to outperform OMA in terms of ergodic secrecy rate and SOP.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021.
Series
IEEE International Conference on Computer Communications and Networks, ISSN 1095-2055
Keywords [en]
Massive MIMO, NOMA, Secrecy, Stochastic Geometry
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-304207DOI: 10.1109/ICCCN52240.2021.9522297ISI: 000701532600090Scopus ID: 2-s2.0-85114962577OAI: oai:DiVA.org:kth-304207DiVA, id: diva2:1609046
Conference
30th International Conference on Computer Communications and Networks (ICCCN), JUL 19-22, 2021, ELECTR NETWORK
Note

Part of proceedings: ISBN 978-0-7381-1330-2, QC 20230117

Available from: 2021-11-05 Created: 2021-11-05 Last updated: 2023-01-17Bibliographically approved

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Papadimitratos, Panagiotis

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CiteExportLink to record
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Citation style
  • apa
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Output format
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