Conference proceeding
Transmit Power Minimization Under Secrecy Capacity Constraint in Cooperative Wireless Communications
2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2
01 Jan 2009
Abstract
We consider a cooperative wireless network, and exploit node cooperation for achieving physical layer based security. The case of one source, multiple cooperating nodes and one eavesdropper is considered. Two different cooperation schemes are considered. In the first scheme, cooperating nodes transmit a weighted version of the source signal in a decode and forward fashion (DF). In the second scheme, while the source is transmitting, cooperating nodes transmit weighted noise to confound the eavesdropper (cooperative jamming (CJ)). The objective is to select the node weights and the source transmit power so that the total transmit power (source transmission power plus cooperating nodes power) under a secrecy capacity constraint is minimized. Previous works related to this problem introduced additional constraints in order to reduce the degree of difficulty, thus resulting in suboptimal solutions. In this paper, the optimal solution is considered. In particular, the closed form solution is obtained for the DF scheme, while for the CJ scheme, the problem is reduced to a univariate optimization one. For the latter problem a convergent algorithm for obtaining the solution is provided.
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Details
- Title
- Transmit Power Minimization Under Secrecy Capacity Constraint in Cooperative Wireless Communications
- Creators
- Jiangyuan Li - Drexel Univ, Dept Elect & Comp Engn, Philadelphia, PA 19104 USAA. Petropulu - Drexel Univ, Dept Elect & Comp Engn, Philadelphia, PA 19104 USAS. Weber - Drexel UniversityIEEE
- Publication Details
- 2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2
- Conference
- 2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, 15th
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000274988800055
- Scopus ID
- 2-s2.0-77950895377
- Other Identifier
- 991019167650404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic
- Telecommunications