Visible to the public Blind Channel Direction Separation Against Pilot Spoofing Attack in Massive MIMO System

TitleBlind Channel Direction Separation Against Pilot Spoofing Attack in Massive MIMO System
Publication TypeConference Paper
Year of Publication2018
AuthorsCao, R., Wong, T. F., Gao, H., Wang, D., Lu, Y.
Conference Name2018 26th European Signal Processing Conference (EUSIPCO)
ISBN Number978-9-0827-9701-5
Keywordsantennas, base-station, blind channel direction separation, blind channel separation, blind source separation, Channel estimation, channel estimation process, composability, CSI, cyber physical systems, Europe, interference symbols, malicious user, massive MIMO, massive MIMO system, MIMO communication, partial channel state information, pilot spoofing attack, pilot spoofing attack scenario, pubcrawl, radiofrequency interference, resilience, Resiliency, Signal processing, Signal processing algorithms, signal space vector, telecommunication security, Trustworthy Systems, Uplink, Vectors

This paper considers a pilot spoofing attack scenario in a massive MIMO system. A malicious user tries to disturb the channel estimation process by sending interference symbols to the base-station (BS) via the uplink. Another legitimate user counters by sending random symbols. The BS does not possess any partial channel state information (CSI) and distribution of symbols sent by malicious user a priori. For such scenario, this paper aims to separate the channel directions from the legitimate and malicious users to the BS, respectively. A blind channel separation algorithm based on estimating the characteristic function of the distribution of the signal space vector is proposed. Simulation results show that the proposed algorithm provides good channel separation performance in a typical massive MIMO system.

Citation Keycao_blind_2018