MIMO multi-user secrecy rate analysis

Giovanni Geraci; Sarabjot Singh; Jeffrey G. Andrews; Jinhong Yuan; Iain B. Collings

doi:10.1109/ICC.2014.6883454

MIMO multi-user secrecy rate analysis

Giovanni Geraci, Sarabjot Singh, Jeffrey G. Andrews, Jinhong Yuan, Iain B. Collings

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

1 Citation (Scopus)

Abstract

In this paper, we consider the broadcast channel with confidential messages and eavesdroppers (BCCE), where a multi-antenna base station simultaneously communicates to multiple potentially malicious users, in the presence of external eavesdroppers randomly located according to a Poisson point process (PPP). By using techniques from stochastic geometry and random matrix theory, we obtain explicit expressions for the secrecy outage probability and mean secrecy rate achievable with regularized channel inversion precoding. We show that both these metrics scale as [λ_e/√N], where N is the number of transmit antennas and λ_e is the density of external eavesdroppers.

Original language	English
Title of host publication	2014 IEEE International Conference on Communications, ICC 2014
Place of Publication	Los Alamitos, CA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1023-1028
Number of pages	6
ISBN (Print)	9781479920037
DOIs	https://doi.org/10.1109/ICC.2014.6883454
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	Australia
City	Sydney, NSW
Period	10/06/14 → 14/06/14

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Keywords

broadcast channel
linear precoding
physical layer security
random matrix theory
stochastic geometry

Cite this

Geraci, G., Singh, S., Andrews, J. G., Yuan, J., & Collings, I. B. (2014). MIMO multi-user secrecy rate analysis. In 2014 IEEE International Conference on Communications, ICC 2014 (pp. 1023-1028). Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICC.2014.6883454

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keywords = "broadcast channel, linear precoding, physical layer security, random matrix theory, stochastic geometry",

author = "Giovanni Geraci and Sarabjot Singh and Andrews, {Jeffrey G.} and Jinhong Yuan and Collings, {Iain B.}",

year = "2014",

doi = "10.1109/ICC.2014.6883454",

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Geraci, G, Singh, S, Andrews, JG, Yuan, J & Collings, IB 2014, MIMO multi-user secrecy rate analysis. in 2014 IEEE International Conference on Communications, ICC 2014. Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, CA, pp. 1023-1028, 2014 1st IEEE International Conference on Communications, ICC 2014, Sydney, NSW, Australia, 10/06/14. https://doi.org/10.1109/ICC.2014.6883454

MIMO multi-user secrecy rate analysis. / Geraci, Giovanni; Singh, Sarabjot; Andrews, Jeffrey G.; Yuan, Jinhong; Collings, Iain B.

2014 IEEE International Conference on Communications, ICC 2014. Los Alamitos, CA : Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 1023-1028.

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

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T1 - MIMO multi-user secrecy rate analysis

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N2 - In this paper, we consider the broadcast channel with confidential messages and eavesdroppers (BCCE), where a multi-antenna base station simultaneously communicates to multiple potentially malicious users, in the presence of external eavesdroppers randomly located according to a Poisson point process (PPP). By using techniques from stochastic geometry and random matrix theory, we obtain explicit expressions for the secrecy outage probability and mean secrecy rate achievable with regularized channel inversion precoding. We show that both these metrics scale as [λe/√N], where N is the number of transmit antennas and λe is the density of external eavesdroppers.

AB - In this paper, we consider the broadcast channel with confidential messages and eavesdroppers (BCCE), where a multi-antenna base station simultaneously communicates to multiple potentially malicious users, in the presence of external eavesdroppers randomly located according to a Poisson point process (PPP). By using techniques from stochastic geometry and random matrix theory, we obtain explicit expressions for the secrecy outage probability and mean secrecy rate achievable with regularized channel inversion precoding. We show that both these metrics scale as [λe/√N], where N is the number of transmit antennas and λe is the density of external eavesdroppers.

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KW - linear precoding

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KW - random matrix theory

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BT - 2014 IEEE International Conference on Communications, ICC 2014

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Access to Document

10.1109/ICC.2014.6883454

Link to publication in Scopus