IEEE Access (Jan 2020)

Precoding for TDD and FDD in Measured Massive MIMO Channels

  • Jesper Odum Nielsen,
  • Anders Karstensen,
  • Patrick C. F. Eggers,
  • Elisabeth De Carvalho,
  • Gerhard Steinbock,
  • Martin Alm

DOI
https://doi.org/10.1109/ACCESS.2020.3033166
Journal volume & issue
Vol. 8
pp. 193644 – 193654

Abstract

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This paper analyzes the performance of well-known precoding schemes for massive multiple-input multiple-output (MMIMO) systems. The investigations are based on extensive measurements made with a sounding system capable of capturing the dynamic channels towards users moving in many different outdoor scenarios. Assuming ideal channel state information (CSI), results show that the mean sum-rate of the maximum ratio transmission (MRT) precoder varies considerably with the scenario, e.g., from 6.5 to 14.5 bit/s/Hz (10%- and 90%-percentiles) for a 64 element uniform linear array (ULA) at the base station (BS), while the zero-forcing (ZF) and signal to leakage and noise ratio (SLNR) precoders are more robust and higher performing with variation from 13.4 to 16.3 bit/s/Hz in the same conditions. However, when the CSI is non-ideal the performance drops. With the CSI delayed corresponding to movement of about 1/5 of a wavelength, the ZF and SLNR mean sum-rate is 60-92% of that achieved with ideal CSI (10%- and 90%-percentiles). More statistics for different massive array sizes with both delay and frequency offset CSI are given in the paper.

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