Channel Estimation Aware Performance Analysis for Massive MIMO with Rician Fading

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Pei Liu
  • Dejin Kong
  • Jie Ding
  • Kehao Wang
  • Jinho Choi

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)4373-4386
Number of pages14
Journal / PublicationIEEE Transactions on Communications
Volume69
Issue number7
Online published14 Apr 2021
Publication statusPublished - Jul 2021

Abstract

In this paper, by considering the average mean squared error (AMSE) of channel estimation, we primarily obtain the closed-from expressions of the probability density function (PDF) and cumulative distribution function of AMSE for the least squares (LS)/minimum mean squared error (MMSE) estimation method as the line-of-sight (LOS) component is known, where the asymptotic analysis is executed in Rayleigh fading and strong LOS conditions. Secondly, the closed-form expressions for the expectation of AMSE (Expamse) and variance of AMSE (Varamse) are acquired, where Varamse is inversely proportional to the number of antennas (M). As M becomes infinite, the PDF of AMSE at Expamse has an order of root M. When the pilot power decreases with M in a power law, the LS case keeps deteriorating while the MMSE case converges to a constant which basically depends on the Rician K-factor. Next, the spectral efficiency is investigated by considering AMSE. When Expamse accelerates, the spectral efficiency of the LS method keeps dropping and that of the MMSE method firstly is degraded and then is improved to a constant except Rayleigh fading. Finally, all results are validated via simulations.

Research Area(s)

  • AMSE, asymptotic analysis, Channel estimation, Interference, Massive MIMO, Rayleigh channels, Reactive power, Rician channels, Rician fading, Signal to noise ratio, spectral efficiency

Citation Format(s)

Channel Estimation Aware Performance Analysis for Massive MIMO with Rician Fading. / Liu, Pei; Kong, Dejin; Ding, Jie; Zhang, Yue; Wang, Kehao; Choi, Jinho.

In: IEEE Transactions on Communications, Vol. 69, No. 7, 07.2021, p. 4373-4386.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review