Resource Allocations for Secure Cognitive Satellite-Terrestrial Networks

Bin Li; Zesong Fei; Xiaoming Xu; Zheng Chu

doi:10.1109/LWC.2017.2755014

Resource Allocations for Secure Cognitive Satellite-Terrestrial Networks

Bin Li, Zesong Fei^*, Xiaoming Xu, Zheng Chu

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

83 Citations (Scopus)

Abstract

In this letter, we investigate the secure transmission in a cognitive satellite-Terrestrial network with a multi-Antennas eavesdropper, where the interference from terrestrial base station is introduced to enhance security of the satellite link. Our objective is to minimize the transmit power by jointly optimizing the cooperative beamforming and artificial noise while guaranteeing the secrecy rate constraint for satellite link, the information rate constraint for terrestrial link and the total transmit power constraint. Both scenarios of the perfect and imperfect channel cases are considered. The resulting optimization problems are non-convex and challenging, which are efficiently solved via certain transformations to be reformulated more tractable versions, respectively. Numerical results are provided to corroborate the proposed schemes.

Original language	English
Pages (from-to)	78-81
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	7
Issue number	1
DOIs	https://doi.org/10.1109/LWC.2017.2755014
Publication status	Published - Feb 2018

Keywords

Satellite-Terrestrial networks
cooperative beamforming
perfect and imperfect channel state information
security

Access to Document

10.1109/LWC.2017.2755014

Cite this

@article{ec56ecd60d524a7aa4b24ade3c75f581,

title = "Resource Allocations for Secure Cognitive Satellite-Terrestrial Networks",

abstract = "In this letter, we investigate the secure transmission in a cognitive satellite-Terrestrial network with a multi-Antennas eavesdropper, where the interference from terrestrial base station is introduced to enhance security of the satellite link. Our objective is to minimize the transmit power by jointly optimizing the cooperative beamforming and artificial noise while guaranteeing the secrecy rate constraint for satellite link, the information rate constraint for terrestrial link and the total transmit power constraint. Both scenarios of the perfect and imperfect channel cases are considered. The resulting optimization problems are non-convex and challenging, which are efficiently solved via certain transformations to be reformulated more tractable versions, respectively. Numerical results are provided to corroborate the proposed schemes.",

keywords = "Satellite-Terrestrial networks, cooperative beamforming, perfect and imperfect channel state information, security",

author = "Bin Li and Zesong Fei and Xiaoming Xu and Zheng Chu",

note = "Publisher Copyright: {\textcopyright} 2012 IEEE.",

year = "2018",

month = feb,

doi = "10.1109/LWC.2017.2755014",

language = "English",

volume = "7",

pages = "78--81",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

publisher = "IEEE Communications Society",

number = "1",

}

TY - JOUR

T1 - Resource Allocations for Secure Cognitive Satellite-Terrestrial Networks

AU - Li, Bin

AU - Fei, Zesong

AU - Xu, Xiaoming

AU - Chu, Zheng

PY - 2018/2

Y1 - 2018/2

N2 - In this letter, we investigate the secure transmission in a cognitive satellite-Terrestrial network with a multi-Antennas eavesdropper, where the interference from terrestrial base station is introduced to enhance security of the satellite link. Our objective is to minimize the transmit power by jointly optimizing the cooperative beamforming and artificial noise while guaranteeing the secrecy rate constraint for satellite link, the information rate constraint for terrestrial link and the total transmit power constraint. Both scenarios of the perfect and imperfect channel cases are considered. The resulting optimization problems are non-convex and challenging, which are efficiently solved via certain transformations to be reformulated more tractable versions, respectively. Numerical results are provided to corroborate the proposed schemes.

AB - In this letter, we investigate the secure transmission in a cognitive satellite-Terrestrial network with a multi-Antennas eavesdropper, where the interference from terrestrial base station is introduced to enhance security of the satellite link. Our objective is to minimize the transmit power by jointly optimizing the cooperative beamforming and artificial noise while guaranteeing the secrecy rate constraint for satellite link, the information rate constraint for terrestrial link and the total transmit power constraint. Both scenarios of the perfect and imperfect channel cases are considered. The resulting optimization problems are non-convex and challenging, which are efficiently solved via certain transformations to be reformulated more tractable versions, respectively. Numerical results are provided to corroborate the proposed schemes.

KW - Satellite-Terrestrial networks

KW - cooperative beamforming

KW - perfect and imperfect channel state information

KW - security

UR - http://www.scopus.com/inward/record.url?scp=85030655649&partnerID=8YFLogxK

U2 - 10.1109/LWC.2017.2755014

DO - 10.1109/LWC.2017.2755014

M3 - Article

AN - SCOPUS:85030655649

SN - 2162-2337

VL - 7

SP - 78

EP - 81

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 1

ER -

Resource Allocations for Secure Cognitive Satellite-Terrestrial Networks

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this