Εξειδίκευση τύπου :	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	XR-RF Imaging Enabled by Software-Defined Metasurfaces and Machine Learning: Foundational Vision, Technologies and Challenges
Δημιουργός/Συγγραφέας:	Liaskos, Christos Tsioliaridou, Ageliki Georgopoulos, Konstantinos Morianos, Ioannis Ioannidis, Sotiris Salem, Iosif Manessis, Dionysios Schmid, Stefan Tyrovolas, Dimitrios Tegos, Sotiris A. Mekikis, Prodromos-Vasileios Diamantoulakis, Panagiotis D. Pitilakis, Alexandros Kantartzis, Nikolaos V. Karagiannidis, George K. Tasolamprou, Anna C. [EL] Τσιλιπάκος Οδυσσέας[EN] Tsilipakos, Odysseas Kafesaki, Maria Akyildiz, Ian F. Pitsillides, Andreas Pateraki, Maria Vakalellis, Michael Spais, Ilias
Ημερομηνία:	2022-11-04
Γλώσσα:	Αγγλικά
ISSN:	2169-3536
DOI:	10.1109/ACCESS.2022.3219871
Περίληψη:	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. iCOPYWAVES is enabled by emerging PWEs, a recently proposed technology in wireless communications. Empowered by intelligent (meta)surfaces, PWEs transform the wave propagation phenomenon into a software-defined process. We leverage PWEs to i) create, and then ii) selectively copy the scattered RF wavefront of an object from one location in space to another, where a machine learning module, accelerated by FPGAs, translates it to visual input for an XR headset using PWEdriven, RF imaging principles (XR-RF). This makes for an XR system whose operation is bounded in the physical layer and, hence, has the prospects for minimal end-to-end latency. Over large distances, RF-to-fiber/fiber-to-RF is employed to provide intermediate connectivity. The paper provides a tutorial on the iCOPYWAVES system architecture and workflow. A proof-of-concept implementation via simulations is provided, demonstrating the reconstruction of challenging objects in iCOPYWAVES produced computer graphics.
Τίτλος πηγής δημοσίευσης:	IEEE Access
Τόμος/Κεφάλαιο:	10
Σελίδες:	119841-119862
Θεματική Κατηγορία:	[EL] Εφαρμοσμένη οπτική. Φωτονική[EN] Applied optics. Photonics
Λέξεις-Κλειδιά:	Wireless comunications Microwave imaging Machine learning Extended reality
Αξιολόγηση από ομότιμους (peer reviewed):	Ναι
Ηλεκτρονική διεύθυνση με ανοικτή πρόσβαση (link):	https://ieeexplore.ieee.org/abstract/document/9940297
Ηλεκτρονική διεύθυνση στον εκδότη (link):	https://ieeexplore.ieee.org/abstract/document/9940297
Ηλεκτρονική διεύθυνση περιοδικού (link) :	https://ieeeaccess.ieee.org/
Εμφανίζεται στις συλλογές:	Ινστιτούτο Θεωρητικής και Φυσικής Χημείας (ΙΘΦΧ) - Επιστημονικό έργο