1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
mmWave Beam Selection in Analog Beamforming Using Personalized Federated Learning
Martin Isaksson, Filippo Vannella, David Sandberg +1
Using analog beamforming in mmWave frequency bands we can focus the energy towards a receiver to achieve high throughput. However, this requires the network to quickly find the bes…
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…
Learning Robust Scheduling with Search and Attention
David Sandberg, Tor Kvernvik, Francesco Davide Calabrese
Allocating physical layer resources to users based on channel quality, buffer size, requirements and constraints represents one of the central optimization problems in the manageme…
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…