DocumentCode
169486
Title
From ordinary AWGN codes to optimal MIMO wiretap schemes
Author
Khina, Anatoly ; Kochman, Yuval ; Khisti, Ashish
Author_Institution
EE-Syst. Dept., TAU, Tel Aviv, Israel
fYear
2014
fDate
2-5 Nov. 2014
Firstpage
631
Lastpage
635
Abstract
The problem of sending a secret message over the Gaussian multiple-input multiple-output wiretap channel is studied. In a recent work, we have proposed a layered coding scheme where a scalar wiretap code is used in each layer, and successive interference cancellation (SIC) is carried at the legitimate receiver. By a proper rate allocation across the layers, we showed that this scheme satisfies the secrecy constraint at the eavesdropper and achieves the secrecy capacity. However, the existence of the scalar codes was based upon a random coding argument. In this work we take a further step and show how the scheme can be based upon any codes that are good for the ordinary (non-secrecy) additive white Gaussian noise channel. As any stage of the SIC process is equivalent to achieving a corner point of a Gaussian multiple-access channel (MAC) capacity region, the class of codes used needs to be good for the MAC under SIC. Since in the secrecy analysis of our layered scheme, it suffices at each stage to consider a genie-aided eavesdropper that performs SIC, the coding task reduces to guaranteeing secrecy for corner points of induced MACs to the eavesdropper. Structured generation of such codes from ordinary ones is discussed.
Keywords
AWGN channels; Gaussian channels; Gaussian noise; MIMO communication; channel coding; interference suppression; multi-access systems; AWGN codes; Gaussian multiple-access channel; Gaussian multiple-input multiple-output wiretap channel; MAC; SIC process; eavesdropper; genie-aided eavesdropper; layered coding scheme; optimal MIMO wiretap schemes; ordinary additive white Gaussian noise channel; random coding; rate allocation; receiver; scalar codes; scalar wiretap code; secrecy analysis; secrecy capacity; secrecy constraint; secret message; successive interference cancellation; Decoding; Encoding; Error probability; MIMO; Noise; Silicon carbide; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop (ITW), 2014 IEEE
Conference_Location
Hobart, TAS
ISSN
1662-9019
Type
conf
DOI
10.1109/ITW.2014.6970908
Filename
6970908
Link To Document