Bayesian approach to channel interpolation in massive mimo receiver

Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

We propose a new interpolation algorithm to enhance channel estimation accuracy in Massive Multiple Input, Multiple Output (MIMO) receiver. The algorithm employs a Bayesian approach to channel tap search and de-noise by taking into account the prior statistics of channel tap distribution. We validate our method using realistic state-of-the-art 5G simulations in a large number of non-line-of-sight scenarios of QuaDRiGa 2.0 channel. We show our method to outperform standard alternatives such as polynomial interpolation and time-domain windowing.

Original languageEnglish
Article number9173775
Pages (from-to)2751-2755
Number of pages5
JournalIEEE Communications Letters
Volume24
Issue number12
DOIs
Publication statusPublished - Dec 2020

Keywords

  • channel interpolation
  • Massive MIMO

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