Pilot Contamination Attacks in Massive MIMO Systems

被引:0
|
作者
Akgun, Berk [1 ]
Krunz, Marwan [1 ]
Koyluoglu, O. Ozan [1 ]
机构
[1] Univ Arizona, Dept Elect & Comp Engn, Tucson, AZ 85721 USA
基金
美国国家科学基金会;
关键词
Massive MIMO; pilot contamination attack; physical layer security; stochastic optimization; game theory; ANTENNA SYSTEMS; WIRELESS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We consider a single-cell massive multiple-input multiple-output (MIMO) system in which a base station (BS) with a large number of antennas simultaneously transmits to K single-antenna users in the presence of an attacker. Massive MIMO systems often operate in a time division duplexing (TDD) fashion. The BS estimates the channel state information (CSI) at receivers based on their uplink pilot transmissions. Downlink transmission rates are highly dependent on these estimates, as the BS utilizes the CSI to exploit the beamforming gain offered by massive MIMO. However, this CSI estimation phase is vulnerable to malicious attacks. Specifically, an attacker can contaminate the uplink pilot sequences by generating identical pilot signals to those of legitimate users. We formulate a denial of service (DoS) attack in which the attacker aims to minimize the sum-rate of downlink transmissions by contaminating the uplink pilots. We also consider another attack model where the attacker generates jamming signals in both the CSI estimation and data transmission phases by exploiting in-band full-duplex techniques. We study these attacks under two power allocation strategies for downlink transmissions. Our analysis is conducted when the attacker knows or does not know the locations of the BS and users. When the attacker does not have perfect location information, stochastic optimization techniques are utilized to assess the impact of the attack. The formulated problems are solved using interior-point, Lagrangian minimization, and game-theoretic methods. We obtain a closed-form solution for a special case of the problem. Our results indicate that even though the attacker does not have the perfect location information, proposed pilot contamination attacks degrade the throughput of a massive MIMO system by more than 50%, and reduce fairness among users significantly. In addition, we show that increasing the number of pilot symbols does not prevent the proposed attacks, if the BS uniformly allocates powers for downlink transmissions.
引用
收藏
页码:82 / 90
页数:9
相关论文
共 50 条
  • [21] Pilot contamination reduction in TDD-based massive MIMO systems
    Zhao, Junhui
    Ni, Shanjin
    Gong, Yi
    Zhang, Qingmiao
    [J]. IET COMMUNICATIONS, 2019, 13 (10) : 1425 - 1432
  • [22] Pilot contamination suppression in 3D massive MIMO systems
    Liu, Can
    Li, Yongzhao
    Zhang, Rui
    Li, Tao
    [J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2019, 46 (04): : 9 - 15
  • [23] Pilot Contamination Alleviated Coding and Decoding for Multicell Massive MIMO Systems
    Ying, Mengyun
    Wang, Haiquan
    Zhang, Wei
    Lu, Jianmin
    [J]. 2016 8TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS & SIGNAL PROCESSING (WCSP), 2016,
  • [24] Mitigating Pilot Contamination and Enabling IoT Scalability in Massive MIMO Systems
    Saeed, Muhammad Kamran
    Kamal, Ahmed E.
    Khokhar, Ashfaq
    [J]. IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 1620 - 1625
  • [25] Pilot contamination mitigation by fractional pilot reuse with threshold optimization in massive MIMO systems
    Fan, Jiancun
    Li, Weiqi
    Zhang, Ying
    [J]. DIGITAL SIGNAL PROCESSING, 2018, 78 : 197 - 204
  • [26] Clustering Based Pilot Allocation Algorithm for Mitigating Pilot Contamination in Massive MIMO Systems
    Gao, He
    Zhang, Tiankui
    Feng, Chunyan
    Wang, Youxiang
    [J]. 2018 ASIA-PACIFIC MICROWAVE CONFERENCE PROCEEDINGS (APMC), 2018, : 878 - 880
  • [27] Mitigating Pilot Contamination by Pilot Reuse and Power Control Schemes for Massive MIMO Systems
    Saxena, Vidit
    Fodor, Gabor
    Karipidis, Eleftherios
    [J]. 2015 IEEE 81ST VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2015,
  • [28] An Efficient Pilot Assignment Scheme for Addressing Pilot Contamination in Multicell Massive MIMO Systems
    Al-hubaishi, Ahmed S.
    Noordin, Nor Kamariah
    Sali, Aduwati
    Subramaniam, Shamala
    Mansoor, Ali Mohammed
    [J]. ELECTRONICS, 2019, 8 (04):
  • [29] Adaptive Pilot Allocation Algorithm for Pilot Contamination Mitigation in TDD Massive MIMO Systems
    Alkhaled, Makram
    Alsusa, Emad
    Hamdi, Khairi A.
    [J]. 2017 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2017,
  • [30] Pilot Contamination Reduction in Massive MIMO System
    Zhao, Yi-Feng
    Lin, Ze-Yu
    Liu, Kai
    Zhang, Chang-Zheng
    Huang, Lian-Fen
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW), 2018,