A Comparison of TDD and FDD Massive MIMO Systems Against Smart Jamming

被引:17
|
作者
Sheikhi, Ashkan [1 ]
Razavizadeh, S. Mohammad [1 ]
Lee, Inkyu [2 ]
机构
[1] Iran Univ Sci & Technol, Sch Elect Engn, Tehran 16844, Iran
[2] Korea Univ, Sch Elect Engn, Seoul 02841, South Korea
来源
IEEE ACCESS | 2020年 / 8卷
基金
新加坡国家研究基金会;
关键词
Jamming; MIMO communication; Covariance matrices; Training; Downlink; Channel estimation; Network security; Frequency division duplex (FDD); massive MIMO; physical layer security; smart jamming; time division duplex (TDD); PHYSICAL-LAYER SECURITY; CORRELATED CHANNELS; WIRELESS; NETWORKS;
D O I
10.1109/ACCESS.2020.2987606
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems introduce a large overhead in downlink channel estimation in contrast to the time division duplex (TDD) mode. This overhead results in a considerable spectral efficiency (SE) gap between the FDD and TDD modes. In this paper, we consider the performance of the TDD and FDD massive MIMO systems with a spatially correlated channel in the presence of jamming in the network. We show how a smart jammer can effectively design its attack signal to degrade the network performance in terms of the downlink SE. Since the jammer can obtain different information about the channels in the TDD and FDD modes, two distinct jamming strategies are proposed for each mode. In the numerical results, the performance of both the TDD and FDD modes under the optimized jamming designs are evaluated and compared. Our results show that despite more attention to the TDD mode in current massive MIMO systems, it is more vulnerable to smart jamming attacks compared to the FDD mode which results in a smaller SE-gap between the modes. Furthermore, a countermeasure technique is proposed to combat this jamming attack in both the TDD and FDD modes by estimating the jamming power, grouping users, and allocating power among them. The numerical results demonstrate the effectiveness of the proposed countermeasure techniques in both the TDD and FDD modes.
引用
收藏
页码:72068 / 72077
页数:10
相关论文
共 50 条
  • [1] Precoding for TDD and FDD in Measured Massive MIMO Channels
    Nielsen, Jesper Odum
    Karstensen, Anders
    Eggers, Patrick C. F.
    De Carvalho, Elisabeth
    Steinbock, Gerhard
    Alm, Martin
    [J]. IEEE ACCESS, 2020, 8 : 193644 - 193654
  • [2] Channel Estimation for TDD/FDD Massive MIMO Systems With Channel Covariance Computing
    Xie, Hongxiang
    Gao, Feifei
    Jin, Shi
    Fang, Jun
    Liang, Ying-Chang
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (06) : 4206 - 4218
  • [3] Secure Transmission Using Angle Reciprocity for TDD/FDD Massive MIMO Systems
    Ou, Yijie
    Du, Qinghe
    [J]. 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [4] Subverting Massive MIMO by Smart Jamming
    Pirzadeh, Hessam
    Razavizadeh, S. Mohammad
    Bjornson, Emil
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2016, 5 (01) : 20 - 23
  • [5] A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model
    Xie, Hongxiang
    Gao, Feifei
    Zhang, Shun
    Jin, Shi
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (04) : 3170 - 3184
  • [6] Performance comparisons of FDD MIMO and 2.6 GHz TDD massive MIMO: An experimental analysis
    Zeydan, Engin
    Dedeoglu, Omer
    Turk, Yekta
    [J]. PHYSICAL COMMUNICATION, 2021, 46
  • [7] UL/DL Channel Estimation for TDD/FDD Massive MIMO Systems Using DFT and Angle Reciprocity
    Xie, Hongxiang
    Gao, Feifei
    Zhang, Shun
    Jin, Shi
    [J]. 2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2016,
  • [8] Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency
    Alrabeiah, Muhammad
    Alkhateeb, Ahmed
    [J]. CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2019, : 1465 - 1470
  • [9] Jamming Suppression in Massive MIMO Systems
    Akhlaghpasand, Hossein
    Bjornson, Emil
    Razavizadeh, S. Mohammad
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2020, 67 (01) : 182 - 186
  • [10] Jamming Detection in Massive MIMO Systems
    Akhlaghpasand, Hossein
    Razavizadeh, S. Mohammad
    Bjornson, Emil
    Do, Tan Tai
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2018, 7 (02) : 242 - 245