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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, 2017, 19 (8)
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

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.

Typ des Eintrags: Artikel
Erschienen: 2017
Autor(en): Liu, Ying ; Li, Liang ; Alexandropoulos, George ; Pesavento, Marius
Art des Eintrags: Zweitveröffentlichung
Titel: Securing Relay Networks with Artificial Noise: An Error Performance-Based Approach
Sprache: Englisch
Publikationsjahr: 2017
Publikationsdatum der Erstveröffentlichung: 2017
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Entropy
Jahrgang/Volume einer Zeitschrift: 19
(Heft-)Nummer: 8
URL / URN: http://tuprints.ulb.tu-darmstadt.de/6675/
Zugehörige Links:
Herkunft: Zweitveröffentlichung aus gefördertem Golden Open Access
Kurzbeschreibung (Abstract):

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.

Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-66756
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
Hinterlegungsdatum: 06 Aug 2017 19:55
Letzte Änderung: 05 Jan 2024 10:22
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