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 › peer-review

2 Citations (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
Editors	A Jamalipour, DJ Deng
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

Publication series

Name	IEEE International Conference on Communications
Publisher	IEEE
ISSN (Print)	1550-3607

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

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

Access to Document

10.1109/ICC.2014.6883454

Cite this

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

@inproceedings{42d1eb8738964e6694129e59c59f21ec,

title = "MIMO multi-user secrecy rate analysis",

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 [λe/√N], where N is the number of transmit antennas and λe is the density of external eavesdroppers.",

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",

language = "English",

isbn = "9781479920037",

series = "IEEE International Conference on Communications",

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

pages = "1023--1028",

editor = "A Jamalipour and DJ Deng",

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

address = "United States",

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

}

Geraci, G, Singh, S, Andrews, JG, Yuan, J & Collings, IB 2014, MIMO multi-user secrecy rate analysis. in A Jamalipour & DJ Deng (eds), 2014 IEEE International Conference on Communications, ICC 2014. IEEE International Conference on Communications, 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. 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. 1023-1028 (IEEE International Conference on Communications).

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

TY - GEN

T1 - MIMO multi-user secrecy rate analysis

AU - Geraci, Giovanni

AU - Singh, Sarabjot

AU - Andrews, Jeffrey G.

AU - Yuan, Jinhong

AU - Collings, Iain B.

PY - 2014

Y1 - 2014

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.

KW - broadcast channel

KW - linear precoding

KW - physical layer security

KW - random matrix theory

KW - stochastic geometry

UR - http://www.scopus.com/inward/record.url?scp=84906997956&partnerID=8YFLogxK

U2 - 10.1109/ICC.2014.6883454

DO - 10.1109/ICC.2014.6883454

M3 - Conference proceeding contribution

AN - SCOPUS:84906997956

SN - 9781479920037

T3 - IEEE International Conference on Communications

SP - 1023

EP - 1028

BT - 2014 IEEE International Conference on Communications, ICC 2014

A2 - Jamalipour, A

A2 - Deng, DJ

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Los Alamitos, CA

T2 - 2014 1st IEEE International Conference on Communications, ICC 2014

Y2 - 10 June 2014 through 14 June 2014

ER -

MIMO multi-user secrecy rate analysis

Abstract

Publication series

Other

Keywords

Access to Document

Other files and links

Fingerprint

Cite this