MIMO Gaussain Cognitive Interference Channels With Confidential Messages

Yinfei Xu; Tong Zhang; Yong Dong; Jian Lu; Yili Xia

doi:10.1109/ISIT50566.2022.9834779

MIMO Gaussain Cognitive Interference Channels With Confidential Messages

Yinfei Xu
, Tong Zhang
, Yong Dong
, Jian Lu
, Yili Xia

Southeast University, Nanjing
Southern University of Science and Technology

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

Abstract

The secrecy capacity of the multiple-input multiple-output (MIMO) Gaussian cognitive interference channel with common, private and confidential messages is characterized in this paper. To show the achievability, we use jointly Gaussian auxiliary random variables to evaluate the existing single-letter description of the capacity region for the discrete memoryless channel. The converse part is established by invoking linear estimation theory and a new version of the extremal inequality. To resolve the Gaussian optimality problem in the extremal inequality, the perturbation framework is employed. Our results explore the connections between the MIMO Gaussian broadcast channel and its distributive antennas counterpart, i.e., the MIMO Gaussian interference channel.

Original language	English
Title of host publication	2022 IEEE International Symposium on Information Theory, ISIT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2744-2749
Number of pages	6
ISBN (Electronic)	9781665421591
DOIs	https://doi.org/10.1109/ISIT50566.2022.9834779
State	Published - 2022
Externally published	Yes
Event	2022 IEEE International Symposium on Information Theory, ISIT 2022 - Espoo, Finland Duration: 26 Jun 2022 → 1 Jul 2022

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
Volume	2022-June
ISSN (Print)	2157-8095

Conference

Conference	2022 IEEE International Symposium on Information Theory, ISIT 2022
Country/Territory	Finland
City	Espoo
Period	26/06/22 → 1/07/22

Access to Document

10.1109/ISIT50566.2022.9834779

Cite this

Xu, Y., Zhang, T., Dong, Y., Lu, J., & Xia, Y. (2022). MIMO Gaussain Cognitive Interference Channels With Confidential Messages. In 2022 IEEE International Symposium on Information Theory, ISIT 2022 (pp. 2744-2749). (IEEE International Symposium on Information Theory - Proceedings; Vol. 2022-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT50566.2022.9834779

@inproceedings{f6f080bc809840c69a095eeb637ea39a,

title = "MIMO Gaussain Cognitive Interference Channels With Confidential Messages",

abstract = "The secrecy capacity of the multiple-input multiple-output (MIMO) Gaussian cognitive interference channel with common, private and confidential messages is characterized in this paper. To show the achievability, we use jointly Gaussian auxiliary random variables to evaluate the existing single-letter description of the capacity region for the discrete memoryless channel. The converse part is established by invoking linear estimation theory and a new version of the extremal inequality. To resolve the Gaussian optimality problem in the extremal inequality, the perturbation framework is employed. Our results explore the connections between the MIMO Gaussian broadcast channel and its distributive antennas counterpart, i.e., the MIMO Gaussian interference channel.",

author = "Yinfei Xu and Tong Zhang and Yong Dong and Jian Lu and Yili Xia",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Information Theory, ISIT 2022 ; Conference date: 26-06-2022 Through 01-07-2022",

year = "2022",

doi = "10.1109/ISIT50566.2022.9834779",

language = "英语",

series = "IEEE International Symposium on Information Theory - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2744--2749",

booktitle = "2022 IEEE International Symposium on Information Theory, ISIT 2022",

address = "美国",

}

Xu, Y, Zhang, T, Dong, Y, Lu, J & Xia, Y 2022, MIMO Gaussain Cognitive Interference Channels With Confidential Messages. in 2022 IEEE International Symposium on Information Theory, ISIT 2022. IEEE International Symposium on Information Theory - Proceedings, vol. 2022-June, Institute of Electrical and Electronics Engineers Inc., pp. 2744-2749, 2022 IEEE International Symposium on Information Theory, ISIT 2022, Espoo, Finland, 26/06/22. https://doi.org/10.1109/ISIT50566.2022.9834779

MIMO Gaussain Cognitive Interference Channels With Confidential Messages. / Xu, Yinfei; Zhang, Tong; Dong, Yong et al.
2022 IEEE International Symposium on Information Theory, ISIT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 2744-2749 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2022-June).

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

TY - GEN

T1 - MIMO Gaussain Cognitive Interference Channels With Confidential Messages

AU - Xu, Yinfei

AU - Zhang, Tong

AU - Dong, Yong

AU - Lu, Jian

AU - Xia, Yili

PY - 2022

Y1 - 2022

N2 - The secrecy capacity of the multiple-input multiple-output (MIMO) Gaussian cognitive interference channel with common, private and confidential messages is characterized in this paper. To show the achievability, we use jointly Gaussian auxiliary random variables to evaluate the existing single-letter description of the capacity region for the discrete memoryless channel. The converse part is established by invoking linear estimation theory and a new version of the extremal inequality. To resolve the Gaussian optimality problem in the extremal inequality, the perturbation framework is employed. Our results explore the connections between the MIMO Gaussian broadcast channel and its distributive antennas counterpart, i.e., the MIMO Gaussian interference channel.

AB - The secrecy capacity of the multiple-input multiple-output (MIMO) Gaussian cognitive interference channel with common, private and confidential messages is characterized in this paper. To show the achievability, we use jointly Gaussian auxiliary random variables to evaluate the existing single-letter description of the capacity region for the discrete memoryless channel. The converse part is established by invoking linear estimation theory and a new version of the extremal inequality. To resolve the Gaussian optimality problem in the extremal inequality, the perturbation framework is employed. Our results explore the connections between the MIMO Gaussian broadcast channel and its distributive antennas counterpart, i.e., the MIMO Gaussian interference channel.

UR - https://www.scopus.com/pages/publications/85136297753

U2 - 10.1109/ISIT50566.2022.9834779

DO - 10.1109/ISIT50566.2022.9834779

M3 - 会议稿件

AN - SCOPUS:85136297753

T3 - IEEE International Symposium on Information Theory - Proceedings

SP - 2744

EP - 2749

BT - 2022 IEEE International Symposium on Information Theory, ISIT 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Symposium on Information Theory, ISIT 2022

Y2 - 26 June 2022 through 1 July 2022

ER -

MIMO Gaussain Cognitive Interference Channels With Confidential Messages

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this