activity
20172024
most citedXR-RF Imaging Enabled by Software-Defined Metasurfaces and Machine Learning: Foundational Vision, Technologies and Challenges

29 citations · 59 across the 10 of their papers we have counts for

collaborators

17 papers

eess.SP202419 cited

Hybrid Semantic-Shannon Communications

Nikos G. Evgenidis, Nikos A. Mitsiou, Sotiris A. Tegos +4

Semantic communications are considered a promising beyond-Shannon/bit paradigm to reduce network traffic and increase reliability, thus making wireless networks more energy efficie…

cs.ET2022

Dynamic Programmable Wireless Environment with UAV-mounted Static Metasurfaces

Prodromos-Vasileios Mekikis, Dimitrios Tyrovolas, Sotiris Tegos +8

Reconfigurable intelligent surfaces (RISs) are artificial planar structures able to offer a unique way of manipulating propagated wireless signals. Commonly composed of a number of…

eess.SP202229 cited

XR-RF Imaging Enabled by Software-Defined Metasurfaces and Machine Learning: Foundational Vision, Technologies and Challenges

C. Liaskos, A. Tsioliaridou, K. Georgopoulos +18

We present a new approach to Extended Reality (XR), denoted as iCOPYWAVES, which seeks to offer naturally low-latency operation and cost-effectiveness, overcoming the critical scal…

cs.IT20223 cited

Performance Analysis of Cascaded Reconfigurable Intelligent Surface Networks

Dimitrios Tyrovolas, Sotiris A Tegos, Emmanouela C Dimitriadou Panidou +3

Reconfigurable intelligent surfaces (RIS) have been presented as a solution to realize the concept of smart radio environments, wherein uninterrupted coverage and extremely high qu…

eess.SP20221 cited

Wireless Quantized Federated Learning: A Joint Computation and Communication Design

Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis

Recently, federated learning (FL) has sparked widespread attention as a promising decentralized machine learning approach which provides privacy and low delay. However, communicati…

cs.DC2021

Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends

Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis

Conventional machine learning techniques are conducted in a centralized manner. Recently, the massive volume of generated wireless data, the privacy concerns and the increasing com…