Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/2FD46CFF-F40D-4752-BE65-08352C034554 | - |
| Αναγνωριστικό | https://doi.org/10.1109/TCOMM.2020.3012577 | - |
| Αναγνωριστικό | https://ieeexplore.ieee.org/document/9151237 | - |
| Γλώσσα | en | - |
| Μέγεθος | 15 pages | en |
| Τίτλος | End-to-end wireless path deployment with intelligent surfaces using interpretable neural networks | en |
| Δημιουργός | Liaskos Christos | en |
| Δημιουργός | Nie Shuai | en |
| Δημιουργός | Tsioliaridou Ageliki | en |
| Δημιουργός | Pitsillides Andreas | en |
| Δημιουργός | Ioannidis Sotirios | en |
| Δημιουργός | Ιωαννιδης Σωτηριος | el |
| Δημιουργός | Akyildiz, Ian Fuat | en |
| Εκδότης | Institute of Electrical and Electronics Engineers | en |
| Περίληψη | Intelligent surfaces exert deterministic control over the wireless propagation phenomenon, enabling novel capabilities in performance, security and wireless power transfer. Such surfaces come in the form of rectangular tiles that cascade to cover large surfaces such as walls, ceilings or building facades. Each tile is addressable and can receive software commands from a controller, manipulating an impinging electromagnetic wave upon it by customizing its reflection direction, focus, polarization and phase. A new problem arises concerning the orchestration of a set of tiles towards serving end-to-end communication objectives. Towards that end, we propose a novel intelligent surface networking algorithm based on interpretable neural networks. Tiles are mapped to neural network nodes and any tile line-of-sight connectivity is expressed as a neural network link. Tile wave manipulation functionalities are captured via geometric reflection with virtually rotatable tile surface norm, thus being able to tunable distribute power impinging upon a tile over the corresponding neural network links, with the corresponding power parts acting as the link weights. A feedforward/backpropagate process optimizes these weights to match ideal propagation outcomes (normalized network power outputs) to wireless user emissions (normalized network power inputs). An interpretation process translates these weights to the corresponding tile wave manipulation functionalities. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2022-01-07 | - |
| Ημερομηνία Δημοσίευσης | 2020 | - |
| Θεματική Κατηγορία | Wireless | en |
| Θεματική Κατηγορία | Intelligent surfaces | en |
| Θεματική Κατηγορία | Software control | en |
| Θεματική Κατηγορία | Neural network | en |
| Θεματική Κατηγορία | Interpretable | en |
| Βιβλιογραφική Αναφορά | C. Liaskos, S. Nie, A. Tsioliaridou, A. Pitsillides, S. Ioannidis and I. Akyildiz, "End-to-end wireless path deployment with intelligent surfaces using interpretable neural networks," IEEE Trans. Commun., vol. 68, no. 11, pp. 6792-6806, Nov. 2020. doi: 10.1109/TCOMM.2020.3012577 | en |
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