Millimeter Wave Beamforming Codebook Design via Learning Channel Covariance Matrices Over Riemannian Manifolds Article

Nasim, Imtiaz, Ibrahim, Ahmed SS. (2022). Millimeter Wave Beamforming Codebook Design via Learning Channel Covariance Matrices Over Riemannian Manifolds . IEEE Access, 10 119617-119629. 10.1109/ACCESS.2022.3222032

Open Access

cited authors

  • Nasim, Imtiaz; Ibrahim, Ahmed SS

authors

publication date

  • January 1, 2022

published in

keywords

  • ALGORITHMS
  • Competitive learning
  • Computer Science
  • Computer Science, Information Systems
  • Engineering
  • Engineering, Electrical & Electronic
  • K-means
  • MIMO SYSTEMS
  • QUANTIZATION
  • Riemannian geometry
  • Science & Technology
  • Technology
  • Telecommunications
  • covariance matrices
  • dictionary learning

Digital Object Identifier (DOI)

start page

  • 119617

end page

  • 119629

volume

  • 10