MIMO Gaussain Cognitive Interference Channels With Confidential Messages

Xu，Yinfei1; Zhang，Tong2; Dong，Yong1; Lu，Jian1; Xia，Yili1

10.1109/ISIT50566.2022.9834779

2022

2157-8095

978-1-6654-2160-7

IEEE International Symposium on Information Theory - Proceedings

2022-June

2744-2749

26 June-1 July 2022

Espoo, Finland

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.

Perturbation methods Source coding Estimation theory MIMO Interference channels Random variables Memoryless systems

其他

英语

EI

20223512624958

Gaussian distribution ; Signal interference

Information Theory and Signal Processing:716.1 ; Probability Theory:922.1 ; Mathematical Statistics:922.2

2-s2.0-85136297753

Scopus

1.Southeast University,School of Information Science and Engineering,Nanjing,210096,China
2.Southern University of Science and Technology,Department of Electrical and Electronic Engineering,Shenzhen,518055,China

Xu，Yinfei,Zhang，Tong,Dong，Yong,et al. MIMO Gaussain Cognitive Interference Channels With Confidential Messages[C],2022:2744-2749.