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Dirty-Paper Coding Based Secure Transmission for Multiuser Downlink in Cellular Communication Systems
- Source :
- IEEE Transactions on Vehicular Technology. 66:5947-5960
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- This paper studies the secure transmission in a multiuser broadcast channel where only the statistical channel state information of the eavesdropper is available. We propose to apply secret dirty-paper coding (S-DPC) in this scenario to support the secure transmission of one user and the normal (unclassified) transmission of the other users. By adopting the S-DPC and encoding the secret message in the first place, all the information-bearing signals of the normal transmission are treated as noise by potential eavesdroppers and thus provide secrecy for the secure transmission. In this way, the proposed approach exploits the intrinsic secrecy of multiuser broadcasting and can serve as an energy-efficient alternative to the traditional artificial noise (AN) scheme. To evaluate the secrecy performance of this approach and compare it with the AN scheme, we propose two S-DPC-based secure transmission schemes for maximizing the secrecy rate under constraints on the secrecy outage probability (SOP) and the normal transmission rates. The first scheme directly optimizes the covariance matrices of the transmit signals, and a novel approximation of the intractable SOP constraint is derived to facilitate the optimization. The second scheme combines zero-forcing dirty-paper coding and AN, and the optimization involves only power allocation. We establish efficient numerical algorithms to solve the optimization problems for both schemes. Theoretical and simulation results confirm that, in addition to supporting the normal transmission, the achievable secrecy rates of the proposed schemes can be close to that of the traditional AN scheme, which supports only the secure transmission of one user.
- Subjects :
- 021110 strategic, defence & security studies
Optimization problem
Computer Networks and Communications
Network security
business.industry
Computer science
0211 other engineering and technologies
Physical layer
Aerospace Engineering
020206 networking & telecommunications
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Broadcasting
Channel state information
Automotive Engineering
Telecommunications link
Secrecy
0202 electrical engineering, electronic engineering, information engineering
Artificial noise
Dirty paper coding
Electrical and Electronic Engineering
business
Secure transmission
Computer network
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi...........f1e1bc037a9b7a972829a54a46e7e5b3
- Full Text :
- https://doi.org/10.1109/tvt.2016.2628871