3 papers
cs.NI2024
Online Frequency Scheduling by Learning Parallel Actions
Anastasios Giovanidis, Mathieu Leconte, Sabrine Aroua +2
Radio Resource Management is a challenging topic in future 6G networks where novel applications create strong competition among the users for the available resources. In this work…
cs.NI2022
Mobility, traffic and radio channel prediction: 5G and beyond applications
Henrik Rydén, Alex Palaios, László Hévizi +3
Machine learning (ML) is an important component for enabling automation in Radio Access Networks (RANs). The work on applying ML for RAN has been under development for many years a…
cs.NI2021
Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR
Ursula Challita, David Sandberg
In this paper, a proactive dynamic spectrum sharing scheme between 4G and 5G systems is proposed. In particular, a controller decides on the resource split between NR and LTE every…