Linear Minimum Error Probability Detection for Massive MU-MIMO with Imperfect CSI in URLLC

Jie Zeng*, Tiejun Lv, Ren Ping Liu, Xin Su, Norman C. Beaulieu, Y. Jay Guo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

It is challenging to realize ultra-reliable and low latency communications (URLLC) under severe shadow fading and imperfect channel state information (CSI). However, reliability can be increased by exploiting space diversity from multiple receive antennas rather than retransmission with limited latency. Massive multi-user multiple-input-multiple-output (MU-MIMO) is studied to enable URLLC with imperfect CSI from least-square channel estimation. The linear minimum error probability (MEP) detector with a given length of pilots (LoP) is derived. Further, the LoP is optimized to minimize the error probability of the uplink with a limited number of channel uses, using the finite blocklength information theory and one-dimensional search methods. Numerical results verify that the proposed linear MEP detection incorporated in massive MU-MIMO improves reliability with limited latency and imperfect CSI.

Original languageEnglish
Article number8854901
Pages (from-to)11384-11388
Number of pages5
JournalIEEE Transactions on Vehicular Technology
Volume68
Issue number11
DOIs
Publication statusPublished - Nov 2019
Externally publishedYes

Keywords

  • Imperfect channel state information (CSI)
  • Massive multi-user multiple-input-multiple-output (MU-MIMO)
  • linear detection
  • minimum error probability (MEP)
  • ultra-reliable and low latency communications (URLLC)

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Zeng, J., Lv, T., Liu, R. P., Su, X., Beaulieu, N. C., & Guo, Y. J. (2019). Linear Minimum Error Probability Detection for Massive MU-MIMO with Imperfect CSI in URLLC. IEEE Transactions on Vehicular Technology, 68(11), 11384-11388. Article 8854901. https://doi.org/10.1109/TVT.2019.2944489