AI-based autonomous control, management, and orchestration in 5G: from standards to algorithms Articles uri icon

authors

  • BEGA, DARIO
  • GRAMAGLIA, MARCO
  • PEREZ, RAMON
  • FIORE, MARCO
  • BANCHS ROCA, ALBERT
  • COSTA PÉREZ, XAVIER

publication date

  • December 2020

start page

  • 14

end page

  • 20

issue

  • 6

volume

  • 34

International Standard Serial Number (ISSN)

  • 0890-8044

Electronic International Standard Serial Number (EISSN)

  • 1558-156X

abstract

  • While the application of Artificial Intelligence (AI) to 5G networks has raised a strong interest, standard solutions to bring AI into 5G systems are still in their infancy and have a long way to go before they can be used to build an operational system. In this paper, we contribute to bridging the gap between standards and a working solution, by defining a framework that brings together the relevant standard specifications and complements them with additional building blocks. We populate this framework with concrete AI-based algorithms that serve different purposes towards developing a fully operational system. We evaluate the performance resulting from applying our framework to control, management and orchestration functions, showing the benefits that AI can bring to 5G systems.

keywords

  • artificial intelligence; forecasting; engines; prediction algorithms; history; data analysis; 3gpp