A new model for physical layer security in cellular networks

Giovanni Geraci; Harpreet S. Dhillon; Jeffrey G. Andrews; Jinhong Yuan; Iain B. Collings

doi:10.1109/ICC.2014.6883641

A new model for physical layer security in cellular networks

Giovanni Geraci, Harpreet S. Dhillon, Jeffrey G. Andrews, Jinhong Yuan, Iain B. Collings

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

8 Citations (Scopus)

Abstract

In this paper, we study physical layer security for the downlink of cellular networks. In a cellular network, the confidential messages transmitted to each mobile user can be eavesdropped by the other users in the same cell and also by the users in the other cells. We model the locations of base stations and mobile users as two independent two-dimensional Poisson point processes. By combining tools from stochastic geometry and random matrix theory, we analyze the secrecy rates achievable with regularized channel inversion (RCI) precoding under Rayleigh fading. Our analysis shows that unlike isolated cells, the secrecy rate in a cellular network does not grow monotonically with the transmit power. Moreover, we find that the network tends to be in secrecy outage if the transmit power grows unbounded. Furthermore, we show that there exists an optimal value for the base station deployment density that maximizes the secrecy rate.

Original language	English
Title of host publication	2014 IEEE International Conference on Communications, ICC 2014
Editors	A Jamalipour, DJ Deng
Place of Publication	Los Alamitos, CA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2147-2152
Number of pages	6
ISBN (Print)	9781479920037
DOIs	https://doi.org/10.1109/ICC.2014.6883641
Publication status	Published - 2014
Externally published	Yes
Event	2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia Duration: 10 Jun 2014 → 14 Jun 2014

Other

Other	2014 1st IEEE International Conference on Communications, ICC 2014
Country/Territory	Australia
City	Sydney, NSW
Period	10/06/14 → 14/06/14

Keywords

cellular networks
linear precoding
physical layer security
random matrix theory
stochastic geometry

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10.1109/ICC.2014.6883641

Cite this

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title = "A new model for physical layer security in cellular networks",

abstract = "In this paper, we study physical layer security for the downlink of cellular networks. In a cellular network, the confidential messages transmitted to each mobile user can be eavesdropped by the other users in the same cell and also by the users in the other cells. We model the locations of base stations and mobile users as two independent two-dimensional Poisson point processes. By combining tools from stochastic geometry and random matrix theory, we analyze the secrecy rates achievable with regularized channel inversion (RCI) precoding under Rayleigh fading. Our analysis shows that unlike isolated cells, the secrecy rate in a cellular network does not grow monotonically with the transmit power. Moreover, we find that the network tends to be in secrecy outage if the transmit power grows unbounded. Furthermore, we show that there exists an optimal value for the base station deployment density that maximizes the secrecy rate.",

keywords = "cellular networks, linear precoding, physical layer security, random matrix theory, stochastic geometry",

author = "Giovanni Geraci and Dhillon, {Harpreet S.} and Andrews, {Jeffrey G.} and Jinhong Yuan and Collings, {Iain B.}",

year = "2014",

doi = "10.1109/ICC.2014.6883641",

language = "English",

isbn = "9781479920037",

pages = "2147--2152",

editor = "A Jamalipour and DJ Deng",

booktitle = "2014 IEEE International Conference on Communications, ICC 2014",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2014 1st IEEE International Conference on Communications, ICC 2014 ; Conference date: 10-06-2014 Through 14-06-2014",

}

Geraci, G, Dhillon, HS, Andrews, JG, Yuan, J & Collings, IB 2014, A new model for physical layer security in cellular networks. in A Jamalipour & DJ Deng (eds), 2014 IEEE International Conference on Communications, ICC 2014. Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, CA, pp. 2147-2152, 2014 1st IEEE International Conference on Communications, ICC 2014, Sydney, NSW, Australia, 10/06/14. https://doi.org/10.1109/ICC.2014.6883641

A new model for physical layer security in cellular networks. / Geraci, Giovanni; Dhillon, Harpreet S.; Andrews, Jeffrey G. et al.
2014 IEEE International Conference on Communications, ICC 2014. ed. / A Jamalipour; DJ Deng. Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 2147-2152.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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T1 - A new model for physical layer security in cellular networks

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AU - Dhillon, Harpreet S.

AU - Andrews, Jeffrey G.

AU - Yuan, Jinhong

AU - Collings, Iain B.

PY - 2014

Y1 - 2014

N2 - In this paper, we study physical layer security for the downlink of cellular networks. In a cellular network, the confidential messages transmitted to each mobile user can be eavesdropped by the other users in the same cell and also by the users in the other cells. We model the locations of base stations and mobile users as two independent two-dimensional Poisson point processes. By combining tools from stochastic geometry and random matrix theory, we analyze the secrecy rates achievable with regularized channel inversion (RCI) precoding under Rayleigh fading. Our analysis shows that unlike isolated cells, the secrecy rate in a cellular network does not grow monotonically with the transmit power. Moreover, we find that the network tends to be in secrecy outage if the transmit power grows unbounded. Furthermore, we show that there exists an optimal value for the base station deployment density that maximizes the secrecy rate.

AB - In this paper, we study physical layer security for the downlink of cellular networks. In a cellular network, the confidential messages transmitted to each mobile user can be eavesdropped by the other users in the same cell and also by the users in the other cells. We model the locations of base stations and mobile users as two independent two-dimensional Poisson point processes. By combining tools from stochastic geometry and random matrix theory, we analyze the secrecy rates achievable with regularized channel inversion (RCI) precoding under Rayleigh fading. Our analysis shows that unlike isolated cells, the secrecy rate in a cellular network does not grow monotonically with the transmit power. Moreover, we find that the network tends to be in secrecy outage if the transmit power grows unbounded. Furthermore, we show that there exists an optimal value for the base station deployment density that maximizes the secrecy rate.

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KW - linear precoding

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KW - random matrix theory

KW - stochastic geometry

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A new model for physical layer security in cellular networks

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