Robust Single-Carrier Frequency-Domain Equalization for Broadband MIMO Systems with Imperfect Channel Estimation

Pengfei Zhe, Yu Zhu, Khaled Letaief

Research output: Contribution to journalArticle

1 Citation (Scopus)


Single-carrier frequency-domain equalization (SCFDE) with multi-input multi-output (MIMO) has been recognized as an alternative technology to orthogonal frequency-division multiplexing with MIMO for broadband wireless communication systems because of its single carrier transmission advantages. Conventional SC-FDE MIMO schemes are designed under the assumption of perfect channel estimation. In this paper, we investigate the robust SC-FDE MIMO design for systems with imperfect channel estimation. Based on a statistical model for channel estimation, the optimal equalization coefficients for the robust SC-FDE MIMO schemes with both parallel interference cancellation and successive interference cancellation (SIC) are derived with the objective of minimizing the sum of the multiple data streams’ mean square errors (sum-MSE). We propose an optimal ordering algorithm in the sense of minimum sum-MSE for the SC-FDE MIMO scheme with SIC, and further propose a low complexity sub-optimal ordering algorithm. The bit-errorrate (BER) performance in the uncoded case is analyzed and a tight BER approximation is derived. Numerical results show that the proposed robust SC-FDE MIMO schemes achieve 1.5dB~4dB gains in Eb/N0 over the conventional non-robust schemes.

Original languageEnglish
JournalIEEE Transactions on Wireless Communications
Publication statusAccepted/In press - 26 Apr 2018
Externally publishedYes



  • Channel estimation
  • Frequency-domain analysis
  • imperfect channel estimation
  • Interference cancellation
  • MIMO communication
  • multi-input multi-output (MIMO)
  • parallel interference cancellation (PIC)
  • Receiving antennas
  • Robust frequency-domain equalization (FDE)
  • Robustness
  • successive interference cancellation (SIC)
  • Wireless communication

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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