18th AIAI 2022, 17 - 20 June 2022, Greece

Experimentation Scenarios for Machine Learning-Based Resource Management

Alexandros Kostopoulos, Ioannis Chochliouros, John Vardakas, Miquel Payaró, Sergio Barrachina, Md Arifur Rahman, Evgenii Vinogradov, Philippe Chanclou, Roberto Gonzalez, Charalambos Klitis, Sabrina De Capitani di Vimercati, Polyzois Soumplis, Emmanuel Var


  5G changes the landscape of mobile networks profoundly, with an evolved architecture supporting unprecedented capacity, spectral efficiency, and increased flexibility. The MARSAL project targets the development and evaluation of a complete framework for the management and orchestration of network resources in 5G and beyond by utilizing a converged optical-wireless network infrastructure in the access and fronthaul/midhaul segments. In this paper, we present a conceptual view of the MARSAL architecture, as well as a wide range of experimentation scenarios.  

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