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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Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 15; no. 4; pp. 3044 - 3057
Main Authors:	Weiliang Zeng, Zheng, Yahong Rosa, Chengshan Xiao
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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