Paper Info
Title
On Countermeasures of Pilot Spoofing Attack in Massive MIMO Systems: A Double Channel Training Based Approach
Abstract
In this paper, we investigate secure communication in a massive multiple-input multiple-output (MIMO) system with multiple users and multiple eavesdroppers (Eve) under both pilot spoofing attack (PSA) and uplink jamming. Specifically, Eve impairs the normal channel estimation by sending identical pilot sequences with the legitimate users. Based on the impaired channel estimation, the base station adopts linear processing schemes for uplink data reception, which is jammed by Eve, and downlink confidential information transmission. We first evaluate the impact of the PSA on the achievable rate with linear processing, and then propose a double channel training based scheme to combat PSA. By using the channel estimation difference in two training phases, the presence of the PSA can be detected and accurate legitimate channel estimation can be obtained by removing the effect of Eve's channel. Furthermore, we analyze the channel estimation errors and derive a closed-form expression of the minimum mean square error precoding scheme to maximize the minimum achievable secrecy rate, which outperforms the conventional linear precoding counterparts.
Year
DOI
Venue
2019
10.1109/tvt.2019.2916209
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Channel estimation,Training,Uplink,Downlink,Jamming,Precoding,MIMO communication
Base station,Spoofing attack,Computer science,Computer network,Minimum mean square error,MIMO,Communication channel,Jamming,Precoding,Telecommunications link
Journal
Volume
Issue
ISSN
68
7
0018-9545
Citations 
PageRank 
References 
2
0.37
0
Authors
6
Name
Order
Citations
PageRank
Wei Wang122426.90
Nan Cheng297081.34
Kah Chan Teh371864.89
Xiaodong Lin4647.86
Zhuang, W.54190302.05
Xuemin Shen615389928.67