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Cited by 906

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Safeguarding 5G wireless communication networks using physical layer security

Yang, Nan, Wang, Lifeng, Geraci, Giovanni, Elkashlan, Maged, Yuan, Jinhong, Di Renzo, Marco·2015·IEEE Communications Magazine

Abstract

The fifth generation (5G) network will serve as a key enabler in meeting the continuously increasing demands for future wireless applications, including an ultra-high data rate, an ultrawide radio coverage, an ultra-large number of devices, and an ultra-low latency. This article examines security, a pivotal issue in the 5G network where wireless transmissions are inherently vulnerable to security breaches. Specifically, we focus on physical layer security, which safeguards data confidentiality by exploiting the intrinsic randomness of the communications medium and reaping the benefits offered by the disruptive technologies to 5G. Among various technologies, the three most promising ones are discussed: heterogenous networks, massive multiple-input multiple-output, and millimeter wave. On the basis of the key principles of each technology, we identify the rich opportunities and the outstanding challenges that security designers must tackle. Such an identification is expected to decisively advance the understanding of future physical layer security.

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Metadata

Authors
Yang, N., Wang, L., Geraci, G., Elkashlan, M., Yuan, J., & Di Renzo, M.
Venue
IEEE Communications Magazine
Published
2015-04
Volume
53
Issue
4
Pages
20-27
ISSN
  • 0163-6804 (ISSN-L)
  • 1558-1896
OpenAlex
W2103063389
Cited by
906
References
1
FWCI
53.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Safeguarding 5G wireless communication networks using physical layer security. https://app.cochat.ai/papers/10.1109/mcom.2015.7081071
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Yang, N., Wang, L., Geraci, G., Elkashlan, M., Yuan, J., & Di Renzo, M. (2015). Safeguarding 5G wireless communication networks using physical layer security. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2015.7081071

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.