Paper Info
Title
Global Optimization Of Precoder For Multi-Antenna Secure Cognitive Radios With Finite-Alphabet Inputs And Statistical Csi
Abstract
This paper considers the precoder optimization for secure cognitive radios. Different from existing works, we consider multiple antennas at each node, instead of assuming only particular node/nodes having multiple antennas; we use finite-alphabet inputs as the signaling, instead of ideal Gaussian-input assumption; we exploit statistical channel state information (CSI), instead of instantaneous CSI at the transmitter. We maximize the secrecy rate of the secondary user, while controlling the transmit power and the power leakage to primary receivers that share the same frequency spectrum. We reformulate the precoder design problem and propose a branch-and-bound based algorithm, which provides a solution asymptotically converging to the global maximum of the secrecy rate. We illustrate the tradeoff between the performance and complexity of the proposed algorithm and demonstrate the performance gains comparing with other approaches.
Year
DOI
Venue
2016
10.1109/ICC.2016.7511633
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Field
DocType
ISSN
Transmitter,Transmitter power output,Global optimization,Computer science,Secrecy,MIMO,Computer network,Exploit,Channel state information,Cognitive radio
Conference
1550-3607
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Weiliang Zeng115513.03
Yahong Rosa Zheng288576.15
Chengshan Xiao31719133.78