Statistical Beamforming Based on Effective Channel Gain for Spatially Correlated Massive MIMO Systems

Youngrok Jang, Taehyoung Kim, Kyungsik Min, Minchae Jung, Sooyong Choi

Research output: Contribution to journalArticle

Abstract

A statistical beamforming (SBF) scheme based on the effective channel gain (ECG) is proposed for spatially correlated massive multiple-input multiple-output systems. The proposed SBF scheme consists of outer and inner precoders. The outer precoder is designed to eliminate multiuser interference based on the correlation matrix of downlink channel. Then, according to the ECG defined as the squared inner product of the dedicated channel and an arbitrary precoding vector, the inner precoder is selected among the eigenvectors of the dedicated channel's correlation matrix with the maximum ECG. Simulation results show that the proposed SBF scheme outperforms conventional schemes.

Original languageEnglish
Article number8012359
Pages (from-to)197-200
Number of pages4
JournalIEEE Communications Letters
Volume22
Issue number1
DOIs
Publication statusPublished - 2018 Jan 1

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MIMO Systems
Beamforming
MIMO systems
Correlation Matrix
Eigenvalues and eigenfunctions
Precoding
Multiple-input multiple-output (MIMO) Systems
Scalar, inner or dot product
Eigenvector
Eliminate
Interference
Arbitrary
Simulation

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Jang, Youngrok ; Kim, Taehyoung ; Min, Kyungsik ; Jung, Minchae ; Choi, Sooyong. / Statistical Beamforming Based on Effective Channel Gain for Spatially Correlated Massive MIMO Systems. In: IEEE Communications Letters. 2018 ; Vol. 22, No. 1. pp. 197-200.
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Statistical Beamforming Based on Effective Channel Gain for Spatially Correlated Massive MIMO Systems. / Jang, Youngrok; Kim, Taehyoung; Min, Kyungsik; Jung, Minchae; Choi, Sooyong.

In: IEEE Communications Letters, Vol. 22, No. 1, 8012359, 01.01.2018, p. 197-200.

Research output: Contribution to journalArticle

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