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Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Secure Communication with a Proactive Eavesdropper Under Perfect CSI and CDI

Qun Li, Ding Xu

Published Jan 1, 2020• 0 citations
Publisher
DOI
10.1007/978-3-030-41114-5_39

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In this paper, we propose a polar coding scheme for secure communication over the multiple-input, single-output, single-antenna eavesdropper (MISOSE) fading channel. We consider the case of block fading channels with known eavesdropper channel state information (CSI) and the case of fading channels with known eavesdropper channel distribution information (CDI). We use the artificial noise assisted secure precoding method to maximize the secrecy capacity in the first case, and to overcome the unawareness of the eavesdropper CSI in the second case. We show that our proposed scheme can provide both reliable and secure communication over the MISOSE channel with low encoding and decoding complexity.
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The problem of resource allocation for energy-efficient secure communications in multiple-input single-output (MISO) systems is investigated, wherein a malicious user tries to eavesdrop the communication between two legitimate users. The legitimate transmitter has multiple antennas, whereas the eavesdropper and the receiver have a single antenna. Unlike most papers dealing with physical layer security, in this paper the goal of the resource allocation process is not to maximize the secrecy capacity, but rather to maximize the secrecy energy efficiency (SEE), defined as the ratio between the secrecy capacity and the total consumed power. This performance metric is measured in bit/Hz/Joule, and represents the amount of information bits that can be reliably and securely transmitted per unit of bandwidth and per Joule of consumed energy. The energy-efficient resource allocation is carried out considering three different channel state information (CSI) scenarios as to the channel from the legitimate transmitter to the eavesdropper, namely perfect CSI, partial CSI, and statistical CSI.