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