Multiantenna Secure Cognitive Radio Networks With Finite-Alphabet Inputs: A Global Optimization Approach for Precoder Design

This paper considers the precoder design for multiantenna secure cognitive radio networks. We use finite-alphabet inputs as the signaling and exploit statistical channel state information (CSI) at the transmitter. We maximize the secrecy rate of the secondary user and control the transmit power and...

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Veröffentlicht in:	IEEE transactions on wireless communications Jg. 15; H. 4; S. 3044 - 3057
Hauptverfasser:	Weiliang Zeng, Zheng, Yahong Rosa, Chengshan Xiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Antennas Cognitive radio Computation Design engineering Erbium finite-alphabet inputs global optimization linear precoding Mathematical analysis Mathematical models Maximization MIMO Multi-antenna secure cognitive radio networks multiple-input multiple-output Networks Optimization Receivers Secrecy aspects statistical channel state information linear precoding statistical channel state information multiple-input multiple-output finite-alphabet inputs Multiantenna secure cognitive radio networks global optimization
ISSN:	1536-1276, 1558-2248
Online-Zugang:	Volltext
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