Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/599113
Title: The Diversity-Multiplexing Tradeoff of Secret-Key Agreement Over Multiple Antenna Channels
Authors: Marwen Zorgui;Zouheir Rezki;Basel Alomair;Mohamed-Slim Alouini
subject: conceptual wiretap channel|highpower|outage probability|Secret-key agreement|diversity multiplexing tradeoff|artificial noise
Year: 2016
Publisher: IEEE
Abstract: We study the problem of secret-key agreement between two legitimate parties, Alice and Bob, in the presence of an eavesdropper Eve. There is a public channel with unlimited capacity that is available to the legitimate parties and is also observed by Eve. Our focus is on Rayleigh fading quasistatic channels. The legitimate receiver and the eavesdropper are assumed to have perfect channel knowledge of their channels. We study the system in the high-power regime. First, we define the secret-key diversity gain and the secret-key multiplexing gain. Second, we establish the secret-key diversity multiplexing tradeoff (DMT) under no channel state information (CSI) at the transmitter (CSI-T). The eavesdropper is shown to “steal” only transmit antennas. We show that, like the DMT without secrecy constraint, the secret-key DMT is the same either with or without full channel state information at the transmitter. This insensitivity of secret-key DMT toward CSI-T features a fundamental difference between secret-key agreement and the wiretap channel, in which secret DMT depends heavily on CSI-T. Finally, we present several secret-key DMT-achieving schemes in case of full CSI-T. We argue that secret DMT-achieving schemes are also key DMT-achieving. Moreover, we show formally that artificial noise (AN), likewise zero-forcing (ZF), is DMT-achieving. We also show that the public feedback channel improves the outage performance without having any effect on the DMT.
Description: 
URI: http://localhost/handle/Hannan/179222
http://localhost/handle/Hannan/599113
ISSN: 1536-1276
volume: 15
issue: 2
Appears in Collections:2016

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Title: The Diversity-Multiplexing Tradeoff of Secret-Key Agreement Over Multiple Antenna Channels
Authors: Marwen Zorgui;Zouheir Rezki;Basel Alomair;Mohamed-Slim Alouini
subject: conceptual wiretap channel|highpower|outage probability|Secret-key agreement|diversity multiplexing tradeoff|artificial noise
Year: 2016
Publisher: IEEE
Abstract: We study the problem of secret-key agreement between two legitimate parties, Alice and Bob, in the presence of an eavesdropper Eve. There is a public channel with unlimited capacity that is available to the legitimate parties and is also observed by Eve. Our focus is on Rayleigh fading quasistatic channels. The legitimate receiver and the eavesdropper are assumed to have perfect channel knowledge of their channels. We study the system in the high-power regime. First, we define the secret-key diversity gain and the secret-key multiplexing gain. Second, we establish the secret-key diversity multiplexing tradeoff (DMT) under no channel state information (CSI) at the transmitter (CSI-T). The eavesdropper is shown to “steal” only transmit antennas. We show that, like the DMT without secrecy constraint, the secret-key DMT is the same either with or without full channel state information at the transmitter. This insensitivity of secret-key DMT toward CSI-T features a fundamental difference between secret-key agreement and the wiretap channel, in which secret DMT depends heavily on CSI-T. Finally, we present several secret-key DMT-achieving schemes in case of full CSI-T. We argue that secret DMT-achieving schemes are also key DMT-achieving. Moreover, we show formally that artificial noise (AN), likewise zero-forcing (ZF), is DMT-achieving. We also show that the public feedback channel improves the outage performance without having any effect on the DMT.
Description: 
URI: http://localhost/handle/Hannan/179222
http://localhost/handle/Hannan/599113
ISSN: 1536-1276
volume: 15
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7302068.pdf1.86 MBAdobe PDFThumbnail
Preview File
Title: The Diversity-Multiplexing Tradeoff of Secret-Key Agreement Over Multiple Antenna Channels
Authors: Marwen Zorgui;Zouheir Rezki;Basel Alomair;Mohamed-Slim Alouini
subject: conceptual wiretap channel|highpower|outage probability|Secret-key agreement|diversity multiplexing tradeoff|artificial noise
Year: 2016
Publisher: IEEE
Abstract: We study the problem of secret-key agreement between two legitimate parties, Alice and Bob, in the presence of an eavesdropper Eve. There is a public channel with unlimited capacity that is available to the legitimate parties and is also observed by Eve. Our focus is on Rayleigh fading quasistatic channels. The legitimate receiver and the eavesdropper are assumed to have perfect channel knowledge of their channels. We study the system in the high-power regime. First, we define the secret-key diversity gain and the secret-key multiplexing gain. Second, we establish the secret-key diversity multiplexing tradeoff (DMT) under no channel state information (CSI) at the transmitter (CSI-T). The eavesdropper is shown to “steal” only transmit antennas. We show that, like the DMT without secrecy constraint, the secret-key DMT is the same either with or without full channel state information at the transmitter. This insensitivity of secret-key DMT toward CSI-T features a fundamental difference between secret-key agreement and the wiretap channel, in which secret DMT depends heavily on CSI-T. Finally, we present several secret-key DMT-achieving schemes in case of full CSI-T. We argue that secret DMT-achieving schemes are also key DMT-achieving. Moreover, we show formally that artificial noise (AN), likewise zero-forcing (ZF), is DMT-achieving. We also show that the public feedback channel improves the outage performance without having any effect on the DMT.
Description: 
URI: http://localhost/handle/Hannan/179222
http://localhost/handle/Hannan/599113
ISSN: 1536-1276
volume: 15
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7302068.pdf1.86 MBAdobe PDFThumbnail
Preview File