Rethinking Maximum Flow Problem and Beamforming Design through Brain-inspired Geometric Lens Conference

Ibrahim, Ahmed S. (2020). Rethinking Maximum Flow Problem and Beamforming Design through Brain-inspired Geometric Lens . Proceedings IEEE Global Communications Conference Globecom, 10.1109/GLOBECOM42002.2020.9321983

Open Access

cited authors

  • Ibrahim, Ahmed S

authors

date/time interval

  • December 7, 2020 -

publication date

  • January 1, 2020

published in

keywords

  • Computer Science
  • Computer Science, Artificial Intelligence
  • Correlated fading
  • MIMO SYSTEMS
  • RIEMANNIAN MANIFOLD
  • Riemannian geometry
  • Science & Technology
  • Technology
  • Telecommunications
  • geometric machine learning
  • maximum flow problem
  • parallel routing
  • relay placement

Location

  • ELECTR NETWORK

Digital Object Identifier (DOI)

Conference

  • IEEE Global Communications Conference (GLOBECOM) on Advanced Technology for 5G Plus

publisher

  • IEEE