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

29 citations · 32 across the 4 of their papers we have counts for

collaborators

5 papers

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…

cs.ET2022

An Open Platform for Simulating the Physical Layer of 6G Communication Systems with Multiple Intelligent Surfaces

Alexandros Papadopoulos, Antonios Lalas, Konstantinos Votis +4

Reconfigurable Intelligent Surfaces (RIS) constitute a promising technology that could fulfill the extreme performance and capacity needs of the upcoming 6G wireless networks, by o…

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…

cs.IT2021

On the Distribution of the Sum of Double-Nakagami-m Random Vectors and Application in Randomly Reconfigurable Surfaces

Sotiris A. Tegos, Dimitrios Tyrovolas, Panagiotis D. Diamantoulakis +2

Meta-surfaces intend to improve significantly the performance of future wireless networks by controlling the wireless propagation and shaping the radio waves according to the gener…