6 citations · 7 across the 11 of their papers we have counts for
13 papers
From Intents to Actions: Agentic AI in Autonomous Networks
Burak Demirel, Pablo Soldati, Yu Wang
Telecommunication networks are increasingly expected to operate autonomously while supporting heterogeneous services with diverse and often conflicting intents -- that is, performa…
Practical Policy Distillation for Reinforcement Learning in Radio Access Networks
Sara Khosravi, Burak Demirel, Linghui Zhou +2
Adopting artificial intelligence (AI) in radio access networks (RANs) presents several challenges, including limited availability of link-level measurements (e.g., CQI reports), st…
Generalization in Reinforcement Learning for Radio Access Networks
Burak Demirel, Yu Wang, Cristian Tatino +1
Modern RAN operate in highly dynamic and heterogeneous environments, where hand-tuned, rule-based RRM algorithms often underperform. While RL can surpass such heuristics in constra…
Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks
Pablo Soldati, Euhanna Ghadimi, Burak Demirel +3
Artificial intelligence (AI) has emerged as a powerful tool for addressing complex and dynamic tasks in radio communication systems. Research in this area, however, focused on AI s…
Application of Monte Carlo Tree Search in Periodic Schedule Design for Networked Control Systems
Burak Demirel, Arda Aytekin
We analyze the closed-loop control performance of a networked control system that consists of independent linear feedback control loops, sharing a communication network with $M…
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo +1
We consider networked control systems consisting of multiple independent controlled subsystems, operating over a shared communication network. Such systems are ubiquitous in cyber-…
Sparsity-Promoting Iterative Learning Control for Resource-Constrained Control Systems
Burak Demirel, Euhanna Ghadimi, Daniel E. Quevedo
We propose novel iterative learning control algorithms to track a reference trajectory in resource-constrained control systems. In many applications, there are constraints on the n…
Trade-Offs in Stochastic Event-Triggered Control
Burak Demirel, Alex S. Leong, Vijay Gupta +1
This paper studies the optimal output-feedback control of a linear time-invariant system where a stochastic event-based scheduler triggers the communication between the sensor and…
Optimal control of linear systems with limited control actions: threshold-based event-triggered control
Burak Demirel, Euhanna Ghadimi, Daniel E. Quevedo +1
We consider a finite-horizon linear-quadratic optimal control problem where only a limited number of control messages are allowed for sending from the controller to the actuator. T…
On the trade-off between control performance and communication cost in event-triggered control
Burak Demirel, Vijay Gupta, Daniel E. Quevedo +1
We consider a stochastic system where the communication between the controller and the actuator is triggered by a threshold-based rule. The communication is performed across an unr…
Parameter Space Design of Repetitive Controllers for Satisfying a Robust Performance Requirement
Burak Demirel, Levent Guvenc
A parameter space procedure for designing chosen parameters of a repetitive controller to satisfy a robust performance criterion is presented. Using this method, low order robust r…
Deterministic and Stochastic Approaches to Supervisory Control Design for Networked Systems with Time-Varying Communication Delays
Burak Demirel, Corentin Briat, Mikael Johansson
This paper proposes a supervisory control structure for networked systems with time-varying delays. The control structure, in which a supervisor triggers the most appropriate contr…
Modular design of jointly optimal controllers and forwarding policies for wireless control
Burak Demirel, Zhenhua Zou, Pablo Soldati +1
We consider the joint design of packet forwarding policies and controllers for wireless control loops where sensor measurements are sent to the controller over an unreliable and en…