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Achieving Full Secure Degrees-of-Freedom for the MISO Wiretap Channel With an Unknown Eavesdropper
- Source :
- GlobalSIP
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- In this paper, we study the achievable secure degrees-of-freedom (sdof) for the multiple-input single-output (MISO) wiretap channel with an unknown eavesdropper. It is assumed that the eavesdropper’s (Eve’s) channel state information (CSI) is unknown to the transmitter (Alice) and legitimate receiver (Bob). Recent studies have shown that the achievable sdof in the sense of strong secrecy is zero when Eve’s number of antennas is equal to or more than Bob’s number of antennas, which is the scenario considered in this paper. To this end, we propose a novel precoding technique and a coding strategy that together achieve full sdof in the sense of strong secrecy without knowing Eve’s CSI and without using artificial noise. The proposed precoding method uses the CSI of the Alice-Bob channel in a nonlinear fashion, which makes the transmitted symbols undecodable at Eve. The proposed coding scheme is based on the channel resolvability concept and ensures strong secrecy. Achieving full sdof with an unknown Eve’s CSI is significant, because it is contrary to what is believed about the achievable sdof for the MISO wiretap channel in the sense of strong secrecy. We also show that the proposed scheme achieves near Alice-Bob’s channel capacity in the sense of strong secrecy with a probability approaching one at finite signal-to-noise ratio.
- Subjects :
- Computer science
0211 other engineering and technologies
050801 communication & media studies
02 engineering and technology
Topology
Precoding
Channel capacity
0508 media and communications
Secrecy
0202 electrical engineering, electronic engineering, information engineering
Wireless
Electrical and Electronic Engineering
Computer Science::Cryptography and Security
Computer Science::Information Theory
021110 strategic, defence & security studies
business.industry
Applied Mathematics
05 social sciences
Transmitter
020206 networking & telecommunications
Mutual information
Quantum Physics
Computer Science Applications
Channel state information
Artificial noise
business
Telecommunications
Coding (social sciences)
Communication channel
Subjects
Details
- ISSN :
- 15361276
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Wireless Communications
- Accession number :
- edsair.doi.dedup.....1ca52362b22b3669666b346868c9bd57