Unsupervised-learning power control for cell-free wireless systems

  • Authors
  • Nikbakht R, Jonsson A, Lozano, A
  • UPF authors
  • JONSSON ., PER ANDERS; LOZANO SOLSONA, ANGEL; NIKBAKHT SILAB, RASOUL;
  • Authors of the book
  • -
  • Book title
  • 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
  • Publisher
  • IEEE
  • Publication year
  • 2019
  • Pages
  • -
  • ISBN
  • 978-1-5386-8110-7
  • Abstract
  • This paper studies the viability of feedforward neural networks (NNs) for centralized power control in the uplink of cell-free wireless systems with matched-filter reception. The formulation relies only on large-scale channel behaviors as inputs, without the need for user location information, and on unsupervised learning, to avoid the onerous precomputation of training data that supervised learning would necessitate for every system or environment modification. Two different power control objectives are entertained, and for both of them the NN closely approximates the optimum solutions produced by convex solvers while vastly reducing the complexity, thereby opening the door to power control implementations for very large systems.
  • Complete citation
  • Nikbakht R, Jonsson A, Lozano, A. Unsupervised-learning power control for cell-free wireless systems. Dins: -. 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). 1 ed. IEEE; 2019.
Bibliometric indicators
  • 7 times cited Scopus
  • Índex Scimago de 0