Title
Artificial Noise-Aided User Scheduling for Optimal Secrecy Multiuser Diversity.
Abstract
In this letter, we propose a user scheduling scheme, which enables non-scheduled users to generate artificial noise in order to enhance wireless security in a multiuser wiretap network, where there exist N users, a single desired receiver, and K eavesdroppers. Our proposed scheme can achieve the optimal multiuser diversity gain (i.e., log log N) by adopting appropriate threshold values for scheduling feedback, which is also able to significantly reduce signaling overhead. We mathematically prove the achievability based on the derivation of a secure user-scaling law. Simulation results demonstrate that the proposed scheme achieves a better average secrecy rate than the conventional scheme in a finite N case, even if both schemes obtain the same secure user-scaling law as N .
Year
DOI
Venue
2017
10.1109/LCOMM.2016.2629483
IEEE Communications Letters
Keywords
Field
DocType
Multiuser detection,Receivers,Security,Fading channels,Interference,Simulation,Wireless networks
Diversity gain,Wireless network,Wireless security,Computer science,Scheduling (computing),Secrecy,Computer network,Multiuser detection,Interference (wave propagation),Artificial noise
Journal
Volume
Issue
ISSN
21
3
1089-7798
Citations 
PageRank 
References 
1
0.35
8
Authors
3
Name
Order
Citations
PageRank
Inkyu Bang1257.78
Su Min Kim212919.92
Dan Keun Sung31478147.84