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End-to-end wireless path deployment with intelligent surfaces using interpretable neural networks

Liaskos Christos, Nie Shuai, Tsioliaridou Ageliki, Pitsillides Andreas, Ioannidis Sotirios, Akyildiz, Ian Fuat

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URIhttp://purl.tuc.gr/dl/dias/2FD46CFF-F40D-4752-BE65-08352C034554-
Identifierhttps://doi.org/10.1109/TCOMM.2020.3012577-
Identifierhttps://ieeexplore.ieee.org/document/9151237-
Languageen-
Extent15 pagesen
TitleEnd-to-end wireless path deployment with intelligent surfaces using interpretable neural networksen
CreatorLiaskos Christosen
CreatorNie Shuaien
CreatorTsioliaridou Agelikien
CreatorPitsillides Andreasen
CreatorIoannidis Sotiriosen
CreatorΙωαννιδης Σωτηριοςel
CreatorAkyildiz, Ian Fuaten
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryIntelligent 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
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2022-01-07-
Date of Publication2020-
SubjectWirelessen
SubjectIntelligent surfacesen
SubjectSoftware controlen
SubjectNeural networken
SubjectInterpretableen
Bibliographic CitationC. 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.2020.3012577en

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