Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks

no code implementations • 9 Jun 2023 • Pablo Soldati, Euhanna Ghadimi, Burak Demirel, Yu Wang, Raimundas Gaigalas, Mathias Sintorn

Artificial intelligence (AI) has emerged as a powerful tool for addressing complex and dynamic tasks in radio communication systems.

Management

Application of Monte Carlo Tree Search in Periodic Schedule Design for Networked Control Systems

no code implementations • 14 Jun 2020 • Burak Demirel, Arda Aytekin

We analyze the closed-loop control performance of a networked control system that consists of $N$ independent linear feedback control loops, sharing a communication network with $M$ channels ($M<N$).

Combinatorial Optimization Scheduling

DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling

no code implementations • 8 Mar 2018 • Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl

The main contribution of this paper is to develop a deep reinforcement learning-based \emph{control-aware} scheduling (\textsc{DeepCAS}) algorithm to tackle these issues.

reinforcement-learning Reinforcement Learning (RL) +1