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

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

In this work, 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 scalability issues faced by existing solutions. Specifically, iCOPYWAVES is enabled by emerging PWEs, a recent...

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Bibliographic Details
Main Authors: Christos Liaskos, Ageliki Tsioliaridou, Konstantinos Georgopoulos, Ioannis Morianos, Sotiris Ioannidis, Iosif Salem, Dionyssios Manessis, Stefan Schmid, Dimitrios Tyrovolas, Sotiris A. Tegos, Prodromos-Vasileios Mekikis, Panagiotis D. Diamantoulakis, Alexandros Pitilakis, Nikolaos V. Kantartzis, George K. Karagiannidis, Anna C. Tasolamprou, Odysseas Tsilipakos, Maria Kafesaki, Ian F. Akyildiz, Andreas Pitsillides, Maria Pateraki, Michael Vakalellis, Ilias Spais
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Extended/virtual/augmented reality
software-defined networking
wireless
XR-RF imaging
machine learning
propagation
Online Access:https://ieeexplore.ieee.org/document/9940297/

Internet

https://ieeexplore.ieee.org/document/9940297/

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