1 citations · 1 across the 10 of their papers we have counts for
10 papers
Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approach
George Stamatelis, Hui Chen, Henk Henk Wymeersch +1
This paper studies energy efficient tracking of power-limited mobile users with the assistance of a Reconfigurable Intelligent Surface (RIS). Since localization pilot transmissions…
Learning to Distributedly Estimate under Partially Known Dynamics: A Covariance-Agnostic Neural Kalman Consensus Filter
George Stamatelis, Kyriakos Stylianopoulos, George C. Alexandropoulos
Online latent state estimation constitutes a fundamental challenge within the artificial intelligence field, serving as a foundational tool for diverse applications, including sequ…
RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimization
George C. Alexandropoulos, Kostantinos D. Katsanos, George Stamatelis +1
This chapter overviews the concept of Smart Wireless Environments (SWEs) motivated by the emerging technology of Reconfigurable Intelligent Surfaces (RISs). The operating principle…
Filtering Jump Markov Systems with Partially Known Dynamics: A Model-Based Deep Learning Approach
George Stamatelis, George C. Alexandropoulos
This paper presents the Jump Markov Filtering Network (JMFNet), a novel model-based deep learning framework for real-time state-state estimation in jump Markov systems with unknown…
Joint Active RIS Configuration and User Power Control for Localization: A Neuroevolution-Based Approach
George Stamatelis, Hui Chen, Henk Wymeersch +1
This paper studies user localization aided by a Reconfigurable Intelligent Surface (RIS). A feedback link from the Base Station (BS) to the user is adopted to enable dynamic power…
Multi-Agent Actor-Critic with Harmonic Annealing Pruning for Dynamic Spectrum Access Systems
George Stamatelis, Angelos-Nikolaos Kanatas, George C. Alexandropoulos
Multi-Agent Deep Reinforcement Learning (MADRL) has emerged as a powerful tool for optimizing decentralized decision-making systems in complex settings, such as Dynamic Spectrum Ac…
On the Detection of Non-Cooperative RISs: Scan B-Testing via Deep Support Vector Data Description
George Stamatelis, Panagiotis Gavriilidis, Aymen Fakhreddine +1
In this paper, we study the problem of promptly detecting the presence of non-cooperative activity from one or more Reconfigurable Intelligent Surfaces (RISs) with unknown characte…
Multi-Branch Attention Convolutional Neural Network for Online RIS Configuration with Discrete Responses: A Neuroevolution Approach
George Stamatelis, Kyriakos Stylianopoulos, George C. Alexandropoulos
In this paper, we consider the problem of jointly controlling the configuration of a Reconfigurable Intelligent Surface (RIS) with unit elements of discrete responses and a codeboo…
Evasive Active Hypothesis Testing with Deep Neuroevolution: The Single- and Multi-Agent Cases
George Stamatelis, Angelos-Nikolaos Kanatas, Ioannis Asprogerakas +1
Active hypothesis testing is a thoroughly studied problem that finds numerous applications in wireless communications and sensor networks. In this paper, we focus on one centralize…
Active hypothesis testing in unknown environments using recurrent neural networks and model free reinforcement learning
George Stamatelis, Nicholas Kalouptsidis
A combination of deep reinforcement learning and supervised learning is proposed for the problem of active sequential hypothesis testing in completely unknown environments. We make…