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Statistical Description of Channel Estimation Error in Massive MIMO Systems with Ricean Fading

  • Pei Liu
  • , Qi Zhang*
  • , Junyuan Wang
  • , Dejin Kong*
  • , Yue Zhang
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This paper studies the channel estimation performance in massive multiple-input multiple-output (MIMO) systems with Ricean fading through considering the relative channel estimation error (RCEE) metric. The closed-form expressions of the probability distribution function (PDF) and cumulative distribution function of RCEE are derived, according to which the PDFs of RCEE with Rayleigh fading and pure line-of-sight (LoS) propagation are obtained as special cases. Through analyzing RCEE, it notes that as the number of base-station antennas becomes unbounded, RCEE approaches a given constant. Moreover, the asymptotic analysis proves that, in high M-regime, the increasing rate of the RCEE scales in the order of √for Rayleigh fading and pure LoS propagation, while the scaling order with general Ricean fading is capped by √M. All the above mentioned results are verified through Monte-Carlo simulations.
Original languageEnglish
Pages (from-to)6227-6231
JournalIEEE Transactions on Vehicular Technology
Volume70
Issue number6
Online published4 May 2021
DOIs
Publication statusPublished - Jun 2021

Research Keywords

  • Massive MIMO
  • Ricean Fading
  • RCEE
  • PDF
  • asymptotic analysis

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