Active Attack on User Load Achieving Pilot Design in Massive MIMO Networks
Abstract
In this paper, we propose an active attacking strategy
on a massive multiple-input multiple-output (MIMO) network,
where the pilot sequences are obtained using the user loadachieving
pilot sequence design. The user load-achieving design
ensures that the signal-to-interference-plus-noise ratio (SINR)
requirements of all the users in the massive MIMO networks ar
e
guaranteed even in the presence of pilot contamination. However,
this design has some vulnerabilities, such as one known pilo
t
sequence and the correlation among the pilot sequences, tha
t
may be exploited by active attackers. In this work, we first
identify the potential vulnerabilities in the user load-achieving
pilot sequence design and then, accordingly, develop an active
attacking strategy on the network. In the proposed attackin
g
strategy, the active attackers transmit known pilot sequences
in the uplink training and artificial noise in the downlink
data transmission. Our examination demonstrates that the percell
user load region is significantly reduced by the proposed
attacking strategy. As a result of the reduced per-cell user load
region, the SINR requirements of all the users are no longer
guaranteed in the presence of the active attackers. Specifically,
for the worst affected users the SINR requirements may not be
ensured even with infinite antennas at the base station.
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Author/s Accepted Manuscript (AAM) / Post-print