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Securing Relay Networks with Artificial Noise: An Error Performance-Based Approach

Liu, Ying ; Li, Liang ; Alexandropoulos, George ; Pesavento, Marius (2017):
Securing Relay Networks with Artificial Noise: An Error Performance-Based Approach.
In: Entropy, 19 (8), p. 384. MDPI, ISSN 1099-4300,

Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

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Item Type: Article
Origin: Secondary publication via sponsored Golden Open Access
Title: Securing Relay Networks with Artificial Noise: An Error Performance-Based Approach
Language: English

We apply the concept of artificial and controlled interference in a two-hop relay network with an untrusted relay, aiming at enhancing the wireless communication secrecy between the source and the destination node. In order to shield the square quadrature amplitude-modulated (QAM) signals transmitted from the source node to the relay, the destination node designs and transmits artificial noise (AN) symbols to jam the relay reception. The objective of our considered AN design is to degrade the error probability performance at the untrusted relay, for different types of channel state information (CSI) at the destination. By considering perfect knowledge of the instantaneous CSI of the source-to-relay and relay-to-destination links, we first present an analytical expression for the symbol error rate (SER) performance at the relay. Based on the assumption of an average power constraint at the destination node, we then derive the optimal phase and power distribution of the AN that maximizes the SER at the relay. Furthermore, we obtain the optimal AN design for the case where only statistical CSI is available at the destination node. For both cases, our study reveals that the Gaussian distribution is generally not optimal to generate AN symbols. The presented AN design takes into account practical parameters for the communication links, such as QAM signaling and maximum likelihood decoding.

Journal or Publication Title: Entropy
Volume of the journal: 19
Issue Number: 8
Place of Publication: Darmstadt
Publisher: MDPI
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Date Deposited: 31 Jul 2017 13:11
Last Modified: 13 Dec 2022 10:18
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-66756
Identification Number: 10.3390/e19080384
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/6675
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