Title :
Multiple-Input Multiple-Output Gaussian Broadcast Channels With Common and Confidential Messages
Author :
Ly, Hung D. ; Liu, Tie ; Liang, Yingbin
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
This paper considers the problem of the multiple-input multiple-output (MIMO) Gaussian broadcast channel with two receivers (receivers 1 and 2) and two messages: a common message intended for both receivers and a confidential message intended only for receiver 1 but needing to be kept asymptotically perfectly secure from receiver 2. A matrix characterization of the secrecy capacity region is established via a channel enhancement argument. The enhanced channel is constructed by first splitting receiver 1 into two virtual receivers and then enhancing only the virtual receiver that decodes the confidential message. The secrecy capacity region of the enhanced channel is characterized using an extremal entropy inequality previously established for characterizing the capacity region of a degraded compound MIMO Gaussian broadcast channel.
Keywords :
Gaussian channels; MIMO communication; broadcast channels; channel enhancement argument; common messages; confidential messages; extremal entropy inequality; multiple-input multiple-output Gaussian broadcast channels; secrecy capacity region; virtual receivers; Covariance matrix; Encoding; MIMO; Noise; Optimization; Receivers; Region 4; Broadcast channel; channel enhancement; common message; confidential message; extremal entropy inequality; multiple-input multiple-output (MIMO) communication; physical layer security;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2069190