On the Secrecy Capacity of 5G New Radio Networks

Joint Authors

Xiao, Ke
Zhang, Shaowei
He, Yunhua

Source

Wireless Communications and Mobile Computing

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-05-07

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Information Technology and Computer Science

Abstract EN

The new radio technology for the fifth-generation wireless system has been extensively studied all over the world.

Specifically, the air interface protocols for 5G radio access network will be standardized by the 3GPP in the coming years.

In the next-generation 5G new radio (NR) networks, millimeter wave (mmWave) communications will definitely play a critical role, as new NR air interface (AI) is up to 100 GHz just like mmWave.

The rapid growth of mmWave systems poses a variety of challenges in physical layer (PHY) security.

This paper investigates those challenges in the context of several 5G new radio communication technologies, including multiple-input multiple-output (MIMO) and nonorthogonal multiple access (NOMA).

In particular, we introduce a ray-tracing (RT) based 5G NR network channel model and reveal that the secrecy capacity in mmWave band widely depends on the richness of radio frequency (RF) environment through numerical experiments.

American Psychological Association (APA)

Xiao, Ke& Zhang, Shaowei& He, Yunhua. 2018. On the Secrecy Capacity of 5G New Radio Networks. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1216017

Modern Language Association (MLA)

Xiao, Ke…[et al.]. On the Secrecy Capacity of 5G New Radio Networks. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1216017

American Medical Association (AMA)

Xiao, Ke& Zhang, Shaowei& He, Yunhua. On the Secrecy Capacity of 5G New Radio Networks. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1216017

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1216017