438 citations · 582 across the 10 of their papers we have counts for
10 papers
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…
QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning
Jakob Stigenberg, Vidit Saxena, Soma Tayamon +1
Fifth-generation (5G) New Radio (NR) cellular networks support a wide range of new services, many of which require an application-specific quality of service (QoS), e.g. in terms o…
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…
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…
A Reinforcement Learning Approach to Power Control and Rate Adaptation in Cellular Networks
Euhanna Ghadimi, Francesco Davide Calabrese, Gunnar Peters +1
Optimizing radio transmission power and user data rates in wireless systems via power control requires an accurate and instantaneous knowledge of the system model. While this probl…
Learning Radio Resource Management in 5G Networks: Framework, Opportunities and Challenges
Francesco Davide Calabrese, Li Wang, Euhanna Ghadimi +2
In the fifth generation (5G) of mobile broadband systems, Radio Resources Management (RRM) will reach unprecedented levels of complexity. To cope with the ever more sophisticated R…