{"id":"https://openalex.org/W7151225661","doi":"https://doi.org/10.48550/arxiv.2604.04212","title":"Relay-Assisted Activation-Integrated SIM for Wireless Physical Neural Networks","display_name":"Relay-Assisted Activation-Integrated SIM for Wireless Physical Neural Networks","publication_year":2026,"publication_date":"2026-04-05","ids":{"openalex":"https://openalex.org/W7151225661","doi":"https://doi.org/10.48550/arxiv.2604.04212"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.04212","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04212","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.04212","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133092453","display_name":"Meng Hua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua, Meng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133138982","display_name":"Deniz G\u00fcnd\u00fcz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G\u00fcnd\u00fcz, Deniz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.30730000138282776,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.30730000138282776,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.18299999833106995,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.1282999962568283,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6539999842643738},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6326000094413757},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.6089000105857849},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5573999881744385},{"id":"https://openalex.org/keywords/relay","display_name":"Relay","score":0.4763000011444092},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4634999930858612},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.45969998836517334},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.42649999260902405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050999999046326},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6539999842643738},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6326000094413757},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.6089000105857849},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5573999881744385},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.4763000011444092},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4634999930858612},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.3982999920845032},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3776000142097473},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3758000135421753},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3361999988555908},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3212999999523163},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C812465","wikidata":"https://www.wikidata.org/wiki/Q5058375","display_name":"Cellular neural network","level":3,"score":0.2590000033378601},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.04212","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04212","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.04212","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04212","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9124510884284973}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Wireless":[0],"physical":[1,18,39,141],"neural":[2,13],"networks":[3],"(WPNNs)":[4],"have":[5],"emerged":[6],"as":[7,103],"a":[8,51],"promising":[9],"paradigm":[10],"for":[11],"performing":[12],"computation":[14],"directly":[15],"in":[16,82],"the":[17,83,92,97,118],"layer":[19,66,77],"of":[20],"wireless":[21,90],"systems,":[22],"offering":[23],"low":[24],"latency":[25],"and":[26,96,125,135],"high":[27,122],"energy":[28],"efficiency.":[29],"However,":[30],"most":[31],"existing":[32],"WPNN":[33,53],"implementations":[34],"primarily":[35],"rely":[36],"on":[37,56],"linear":[38,68,140],"transformations,":[40],"which":[41],"fundamentally":[42],"limits":[43],"their":[44],"expressiveness.":[45],"In":[46],"this":[47],"work,":[48],"we":[49],"propose":[50],"relay-assisted":[52],"architecture":[54,120],"based":[55],"activation-integrated":[57],"stacked":[58],"intelligent":[59],"metasurfaces":[60],"(AI-SIMs),":[61],"where":[62],"each":[63],"passive":[64],"metasurface":[65,76,98],"enabling":[67],"wave":[69],"manipulation":[70],"is":[71],"cascaded":[72],"with":[73,138],"an":[74],"activation":[75,109,129],"that":[78,117,126],"realizes":[79],"nonlinear":[80],"processing":[81],"analog":[84],"domain.":[85],"By":[86],"deliberately":[87],"structuring":[88],"multi-hop":[89],"propagation,":[91],"relay":[93],"amplification":[94],"matrix":[95],"phase-shift":[99],"matrices":[100],"jointly":[101],"act":[102],"trainable":[104],"network":[105],"weights,":[106],"while":[107],"hardware-implemented":[108],"functions":[110,130],"provide":[111],"essential":[112],"nonlinearity.":[113],"Simulation":[114],"results":[115],"demonstrate":[116],"proposed":[119],"achieves":[121],"classification":[123],"accuracy,":[124],"incorporating":[127],"hardware-based":[128],"significantly":[131],"improves":[132],"representational":[133],"capability":[134],"performance":[136],"compared":[137],"purely":[139],"implementations.":[142]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-08T00:00:00"}