Paper Info
Title
Impact of estimated CSI quantization on secrecy rate loss in pilot-aided MIMO systems
Abstract
In this paper, we investigate the system performance from the physical layer security provision under imperfect channel state information (CSI). In a classical transmitter (Alice)-legitimate receiver (Bob)- eavesdropper (Eve) model, we introduce artificial noise (AN) to disturb Eve's reception, as Eve's CSI is unknown to Alice. For designing the transmit beamforming vector of the information signal and precoding matrix of AN, Bob feeds back the quantized CSI estimation to Alice. Due to the effects of imperfect CSI at Alice, the secrecy system performance is upper bounded at high SNRs. In order to overcome the problem, by utilizing our derived upper bound on the secrecy rate loss, we put forward a scaled feedback strategy for the secrecy system. By employing the proposed strategy, the secrecy rate increases with transmit power despite that Alice can only obtain imperfect Bob's CSI, and the secrecy rate loss between perfect CSI and imperfect CSI can be controlled within a certain gap. Computer simulations are provided to verify our derived results.
Year
DOI
Venue
2014
10.1109/GLOCOMW.2014.7063617
GLOBECOM Workshops
Keywords
Field
DocType
precoding,physical layer security provisi,transmitter legitimate receiver eavesdropper model,transmit beamforming vector,matrix algebra,array signal processing,mimo communication,scaled feedback strategy,imperfect channel state information,csi quantization,pilot-aided mimo systems,secrecy rate loss,precoding matrix
Beamforming,Transmitter,Telecommunications,Transmitter power output,Upper and lower bounds,Computer science,Secrecy,Algorithm,Real-time computing,Physical layer,Artificial noise,Quantization (signal processing)
Conference
ISSN
Citations 
PageRank 
2166-0069
0
0.34
References 
Authors
14
5
Name
Order
Citations
PageRank
Zhangjie Peng1192.41
Jun Zhu232317.25
Wei Xu385463.23
Hua Zhang48614.74
Chunming Zhao567164.30