Generalized Approximate Message Passing for Massive MIMO mmWave Channel Estimation With Laplacian Prior

Volume: 67, Issue: 5, Pages: 3205 - 3219
Published: May 1, 2019
Abstract
This paper tackles the problem of millimeter-wave (mmWave) channel estimation in massive MIMO communication systems. A new Bayes-optimal channel estimator is derived using recent advances in the approximate belief propagation Bayesian inference paradigm. By leveraging the inherent sparsity of the mmWave MIMO channel in the angular domain, we recast the underlying channel estimation problem into that of reconstructing a compressible signal from a...
Paper Details
Title
Generalized Approximate Message Passing for Massive MIMO mmWave Channel Estimation With Laplacian Prior
Published Date
May 1, 2019
Volume
67
Issue
5
Pages
3205 - 3219
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.