48 citations · 83 across the 8 of their papers we have counts for
4 papers · 1 filter
Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks
Benoît-Marie Robaglia, Marceau Coupechoux, Dimitrios Tsilimantos
This article addresses the problem of Ultra Reliable Low Latency Communications (URLLC) in wireless networks, a framework with particularly stringent constraints imposed by many In…
Distributed no-regret edge resource allocation with limited communication
Saad Kriouile, Dimitrios Tsilimantos, Theodoros Giannakas
To accommodate low latency and computation-intensive services, such as the Internet-of-Things (IoT), 5G networks are expected to have cloud and edge computing capabilities. To this…
Learn2MAC: Online Learning Multiple Access for URLLC Applications
Apostolos Destounis, Dimitrios Tsilimantos, Mérouane Debbah +1
This paper addresses a fundamental limitation of previous random access protocols, their lack of latency performance guarantees. We consider IoT transmitters competing for upli…
Anticipatory Radio Resource Management for Mobile Video Streaming with Linear Programming
Dimitrios Tsilimantos, Amaya Nogales-Gómez, Stefan Valentin
In anticipatory networking, channel prediction is used to improve communication performance. This paper describes a new approach for allocating resources to video streaming traffic…