4 papers
Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach
Mohit K. Sharma, Alessio Zappone, Mohamad Assaad +2
In this paper, we develop a multi-agent reinforcement learning (MARL) framework to obtain online power control policies for a large energy harvesting (EH) multiple access channel,…
Problem-Adapted Artificial Intelligence for Online Network Optimization
Spyridon Vassilaras, Luigi Vigneri, Nikolaos Liakopoulos +4
Future 5G wireless networks will rely on agile and automated network management, where the usage of diverse resources must be jointly optimized with surgical accuracy. A number of…
Optimizing Access Mechanisms for QoS Provisioning in Hardware Constrained Dynamic Spectrum Access
Spyridon Vassilaras, George C. Alexandropoulos
One of the major challenges in Dynamic Spectrum Access (DSA) systems is to guarantee a required level of Quality of Service (QoS) to secondary users of the spectrum. In this paper,…
Robust measurement-based buffer overflow probability estimators for QoS provisioning and traffic anomaly prediction applicationm
Spyridon Vassilaras, Ioannis Ch. Paschalidis
Suitable estimators for a class of Large Deviation approximations of rare event probabilities based on sample realizations of random processes have been proposed in our earlier wor…