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

Sheikhi, Ashkan LU orcid ; Razavizadeh, S. Mohammad and Lee, Inkyu (2020) In IEEE Access 8. p.72068-72077
Abstract
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... (More)
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. (Less)
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author
; and
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Access
volume
8
pages
72068 - 72077
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85084249834
ISSN
2169-3536
DOI
10.1109/ACCESS.2020.2987606
language
English
LU publication?
no
id
1a9df228-7152-4651-ad8b-566347ea1be3
date added to LUP
2022-07-04 11:53:55
date last changed
2022-08-01 13:43:43
@article{1a9df228-7152-4651-ad8b-566347ea1be3,
  abstract     = {{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.}},
  author       = {{Sheikhi, Ashkan and Razavizadeh, S. Mohammad and Lee, Inkyu}},
  issn         = {{2169-3536}},
  language     = {{eng}},
  month        = {{04}},
  pages        = {{72068--72077}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Access}},
  title        = {{A Comparison of TDD and FDD Massive MIMO Systems Against Smart Jamming}},
  url          = {{http://dx.doi.org/10.1109/ACCESS.2020.2987606}},
  doi          = {{10.1109/ACCESS.2020.2987606}},
  volume       = {{8}},
  year         = {{2020}},
}