35 citations · 69 across the 21 of their papers we have counts for
22 papers
Over-The-Air Extreme Learning Machines with Nonlinear Stacked Intelligent Metasurfaces
Kyriakos Stylianopoulos, Mattia Fabiani, Giulia Torcolacci +2
The recently envisioned goal-oriented communications paradigm requires machine learning inference to be performed directly on wirelessly transferred data. This paper presents an eX…
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…
Control Plane for Reconfigurable Intelligent Surfaces
Fabio Saggese, Victor Croisfelt, Kyriakos Stylianopoulos +2
Research on reconfigurable intelligent surfaces (RISs) has predominantly focused on purely physical (PHY)-layer aspects, particularly, on how signals are dynamically shaped by a co…
Metasurfaces-Integrated Wireless Neural Networks for Lightweight Over-The-Air Edge Inference
Kyriakos Stylianopoulos, Mario Edoardo Pandolfo, Paolo Di Lorenzo +1
The upcoming sixth Generation (6G) of wireless networks envisions ultra-low latency and energy efficient Edge Inference (EI) for diverse Internet of Things (IoT) applications. Howe…
Over-The-Air Extreme Learning Machines with XL Reception via Nonlinear Cascaded Metasurfaces
Kyriakos Stylianopoulos, Mattia Fabiani, Giulia Torcolacci +2
The recently envisioned goal-oriented communications paradigm calls for the application of inference on wirelessly transferred data via Machine Learning (ML) tools. An emerging res…
Over-the-Air Goal-Oriented Communications
Kyriakos Stylianopoulos, Paolo Di Lorenzo, George C. Alexandropoulos
Goal-oriented communications offer an attractive alternative to the Shannon-based communication paradigm, where the data is never reconstructed at the Receiver (RX) side. Rather, f…
Over-the-Air Semantic Alignment with Stacked Intelligent Metasurfaces
Mario Edoardo Pandolfo, Kyriakos Stylianopoulos, George C. Alexandropoulos +1
Semantic communication systems aim to transmit task-relevant information between devices capable of artificial intelligence, but their performance can degrade when heterogeneous tr…
MIMO Communications with 1-bit RIS: Asymptotic Analysis and Over-the-Air Channel Diagonalization
Panagiotis Gavriilidis, Kyriakos Stylianopoulos, George C. Alexandropoulos
This paper presents an asymptotic analysis of Multiple-Input Multiple-Output (MIMO) systems assisted by a 1-bit Reconfigurable Intelligent Surface (RIS) under Ricean fading conditi…
Integrating Stacked Intelligent Metasurfaces and Power Control for Dynamic Edge Inference via Over-The-Air Neural Networks
Kyriakos Stylianopoulos, George C. Alexandropoulos
This paper introduces a novel framework for Edge Inference (EI) that bypasses the conventional practice of treating the wireless channel as noise. We utilize Stacked Intelligent Me…
Distributed Intelligent Sensing and Communications for 6G: Architecture and Use Cases
Kyriakos Stylianopoulos, Giyyarpuram Madhusudan, Guillaume Jornod +8
The Distributed Intelligent Sensing and Communication (DISAC) framework redefines Integrated Sensing and Communication (ISAC) for 6G by leveraging distributed architectures to enha…
Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining
Kyriakos Stylianopoulos, George C. Alexandropoulos
In this paper, we show that an eXtremely Large (XL) Multiple-Input Multiple-Output (MIMO) wireless system with appropriate analog combining components exhibits the properties of a…
Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks
Kyriakos Stylianopoulos, Paolo Di Lorenzo, George C. Alexandropoulos
In the Edge Inference (EI) paradigm, where a Deep Neural Network (DNN) is split across the transceivers to wirelessly communicate goal-defined features in solving a computational t…
Graph-CNNs for RF Imaging: Learning the Electric Field Integral Equations
Kyriakos Stylianopoulos, Panagiotis Gavriilidis, Gabriele Gradoni +1
Radio-Frequency (RF) imaging concerns the digital recreation of the surfaces of scene objects based on the scattered field at distributed receivers. To solve this difficult inverse…
Asymptotically Optimal Closed-Form Phase Configuration of -bit RISs via Sign Alignment
Kyriakos Stylianopoulos, Panagiotis Gavriilidis, George C. Alexandropoulos
While Reconfigurable Intelligent Surfaces (RISs) constitute one of the most prominent enablers for the upcoming sixth Generation (6G) of wireless networks, the design of efficient…
-Bit SubTHz RIS with Planar Tightly Coupled Dipoles: Beam Shaping and Prototypes
Xianjun Ma, Yonggang Zhou, Qi Luo +3
In this paper, a proof-of-concept study of a -bit wideband reconfigurable intelligent surface (RIS) comprising planar tightly coupled dipoles (PTCD) is presented. The developed…
Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennas
Kyriakos Stylianopoulos, Murat Bayraktar, Nuria González Prelcic +1
User localization and tracking in the upcoming generation of wireless networks have the potential to be revolutionized by technologies such as the Dynamic Metasurface Antennas (DMA…
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces
Kyriakos Stylianopoulos, Mattia Merluzzi, Paolo Di Lorenzo +1
In this paper, we propose a novel algorithm for energy-efficient, low-latency, accurate inference at the wireless edge, in the context of 6G networks endowed with reconfigurable in…
On the Impact of Control Signaling in RIS-Empowered Wireless Communications
Fabio Saggese, Victor Croisfelt, Radosław Kotaba +3
The research on Reconfigurable Intelligent Surfaces (RISs) has dominantly been focused on physical-layer aspects and analyses of the achievable adaptation of the wireless propagati…
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces
George C. Alexandropoulos, Kyriakos Stylianopoulos, Chongwen Huang +3
The emerging technology of Reconfigurable Intelligent Surfaces (RISs) is provisioned as an enabler of smart wireless environments, offering a highly scalable, low-cost, hardware-ef…
Online RIS Configuration Learning for Arbitrary Large Numbers of -Bit Phase Resolution Elements
Kyriakos Stylianopoulos, George C. Alexandropoulos
Reinforcement Learning (RL) approaches are lately deployed for orchestrating wireless communications empowered by Reconfigurable Intelligent Surfaces (RISs), leveraging their onlin…
Deep Contextual Bandits for Orchestrating Multi-User MISO Systems with Multiple RISs
Kyriakos Stylianopoulos, George Alexandropoulos, Chongwen Huang +3
The emergent technology of Reconfigurable Intelligent Surfaces (RISs) has the potential to transform wireless environments into controllable systems, through programmable propagati…
Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic rich-scattering Environments
Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne +1
The integration of Reconfigurable Intelligent Surfaces (RISs) into wireless environments endows channels with programmability, and is expected to play a key role in future communic…