<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/2FD46CFF-F40D-4752-BE65-08352C034554"><efrbr-work:titleOfTheWork>End-to-end wireless path deployment with intelligent surfaces using interpretable neural networks</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/2FD46CFF-F40D-4752-BE65-08352C034554"><efrbr-expression:titleOfTheExpression>End-to-end wireless path deployment with intelligent surfaces using interpretable neural networks</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Peer-Reviewed Journal Publication
            Δημοσίευση σε Περιοδικό με Κριτές
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2022-01-07</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2020</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>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.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="journal name">IEEE Transactions on Communications</efrbr-expression:note><efrbr-expression:note type="journal volume">68</efrbr-expression:note><efrbr-expression:note type="journal number">11</efrbr-expression:note><efrbr-expression:note type="page range">6792-6806</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="297155E8-0234-420E-A5A8-6CE8EFDC26A5"><efrbr-person:nameOfPerson vocabulary="">
            Liaskos Christos
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="59DB39D7-28BC-43A3-BCB3-830F00471B0A"><efrbr-person:nameOfPerson vocabulary="">
            Nie Shuai
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="861A60DE-69EA-473B-976D-FEF259C33B98"><efrbr-person:nameOfPerson vocabulary="">
            Tsioliaridou Ageliki
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="04F08285-523D-4C9A-9380-924BC5A7CFE3"><efrbr-person:nameOfPerson vocabulary="">
            Pitsillides Andreas
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~sioannidis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Ioannidis Sotirios
            Ιωαννιδης Σωτηριος
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://viaf.org/viaf/35044085"><efrbr-person:nameOfPerson vocabulary="VIAF">
            Akyildiz, Ian Fuat
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-corporateBody:corporateBody identifier="https://v2.sherpa.ac.uk/id/publisher/38"><efrbr-corporateBody:nameOfTheCorporateBody vocabulary="S/R:PUBLISHERS">
            Institute of Electrical and Electronics Engineers
         </efrbr-corporateBody:nameOfTheCorporateBody></efrbr-corporateBody:corporateBody><efrbr-concept:concept identifier="7C1FD11E-DC27-4A0C-9953-79F03EF24AD3"><efrbr-concept:termForTheConcept>
            Wireless
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="F59C234C-AB32-4277-AC0A-67460D2E1BBD"><efrbr-concept:termForTheConcept>
            Intelligent surfaces
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="4A24777D-1C4D-4C7B-88DA-E9CC26ADCB2B"><efrbr-concept:termForTheConcept>
            Software control
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="72022EC1-7B5E-4EA7-B41A-C0C84787ACEF"><efrbr-concept:termForTheConcept>
            Neural network
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="92FAEDD8-D0D7-4E4B-9DF9-C7704D16E633"><efrbr-concept:termForTheConcept>
            Interpretable
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