{"id":"https://openalex.org/W7136365644","doi":"https://doi.org/10.1109/tcomm.2026.3674171","title":"Hybrid RIS-Aided Digital Over-the-Air Computing for Edge AI Inference: Joint Feature Quantization and Active-Passive Beamforming Design","display_name":"Hybrid RIS-Aided Digital Over-the-Air Computing for Edge AI Inference: Joint Feature Quantization and Active-Passive Beamforming Design","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7136365644","doi":"https://doi.org/10.1109/tcomm.2026.3674171"},"language":null,"primary_location":{"id":"doi:10.1109/tcomm.2026.3674171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2026.3674171","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129522247","display_name":"Yang Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Fu","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129402375","display_name":"Peng Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Qin","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4324-5660","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379252","display_name":"Li Chen","orcid":"https://orcid.org/0000-0002-4907-9720"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Chen","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Digital Grid Technology (Digital Grid Research Institute, China Southern Power Grid), Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Digital Grid Technology (Digital Grid Research Institute, China Southern Power Grid), Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xianchao Zhang","orcid":"https://orcid.org/0000-0001-8925-8371"},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianchao Zhang","raw_affiliation_strings":["Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems, Jiaxing University, Jiaxing, China"],"raw_orcid":"https://orcid.org/0000-0001-8925-8371","affiliations":[{"raw_affiliation_string":"Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems, Jiaxing University, Jiaxing, China","institution_ids":["https://openalex.org/I4210092870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129431054","display_name":"Yifei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Wang","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25815502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"6075","last_page":"6089"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0917000025510788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0917000025510788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.0560000017285347,"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":0.0544000007212162,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5954999923706055},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5467000007629395},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5317000150680542},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42239999771118164},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4198000133037567},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.366100013256073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728000044822693},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5954999923706055},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5467000007629395},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5317000150680542},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4198000133037567},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.39660000801086426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3953999876976013},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38269999623298645},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.357699990272522},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.35339999198913574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.289000004529953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2809999883174896}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2026.3674171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2026.3674171","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4486614465713501}],"awards":[{"id":"https://openalex.org/G1499029729","display_name":null,"funder_award_id":"62201212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G248959856","display_name":null,"funder_award_id":"F2025502015","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G3729448342","display_name":null,"funder_award_id":"62271201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5405117020","display_name":null,"funder_award_id":"62271201, 62201212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5415518122","display_name":null,"funder_award_id":"2025MS008","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"vision":[1],"of":[2,26,71,94,183,239],"6G":[3],"networks":[4],"aims":[5],"to":[6,40,120,146,207,248],"enable":[7],"edge":[8,32,37],"inference":[9,33,177,199,241],"by":[10,46,65],"leveraging":[11],"ubiquitously":[12],"deployed":[13],"artificial":[14],"intelligence":[15],"(AI)":[16],"models,":[17],"facilitating":[18],"intelligent":[19,86],"environmental":[20],"perception":[21,51],"for":[22,35,61,102,133,176],"a":[23,58,89,109,167,173],"wide":[24],"range":[25],"applications.":[27],"A":[28],"critical":[29],"operation":[30],"in":[31,237],"is":[34],"an":[36,195,204],"node":[38],"(EN)":[39],"aggregate":[41],"multi-view":[42],"sensory":[43],"features":[44,123,158],"extracted":[45],"distributed":[47],"agents,":[48,151],"thereby":[49],"boosting":[50],"accuracy.":[52],"Over-the-air":[53],"computing":[54],"(AirComp)":[55],"emerges":[56],"as":[57],"promising":[59],"technique":[60],"rapid":[62],"feature":[63,184,254],"aggregation":[64],"exploiting":[66],"the":[67,139,152,156,160,181,210,229,249],"waveform":[68],"superposition":[69,149],"property":[70],"analog-modulated":[72],"signals,":[73],"which":[74,116],"is,":[75],"however,":[76],"incompatible":[77],"with":[78,166,252],"existing":[79],"digital":[80,234],"communication":[81],"systems.":[82],"Meanwhile,":[83],"hybrid":[84,143,221],"reconfigurable":[85],"surface":[87],"(RIS),":[88],"novel":[90],"RIS":[91,144,222],"architecture":[92],"capable":[93],"simultaneous":[95],"signal":[96,148],"amplification":[97],"and":[98,142,186,202,220,243],"reflection,":[99],"exhibits":[100],"potential":[101],"enhancing":[103],"AirComp.":[104],"Therefore,":[105],"this":[106,191],"paper":[107],"proposes":[108],"Hybrid":[110],"RIS-aided":[111],"Digital":[112],"AirComp":[113,140,235],"(HRD-AirComp)":[114],"scheme,":[115],"employs":[117],"vector":[118],"quantization":[119,185,211],"map":[121],"high-dimensional":[122],"into":[124,131],"discrete":[125],"codewords":[126],"that":[127,179,228],"are":[128],"digitally":[129],"modulated":[130],"symbols":[132],"wireless":[134],"transmission.":[135],"By":[136],"judiciously":[137],"adjusting":[138],"transceivers":[141],"reflection":[145,223],"control":[147],"across":[150],"EN":[153,217],"can":[154],"estimate":[155],"aggregated":[157],"from":[159],"received":[161],"signals.":[162],"To":[163],"endow":[164],"HRD-AirComp":[165,231],"task-oriented":[168],"design":[169],"principle,":[170],"we":[171,193],"derive":[172],"surrogate":[174],"function":[175],"accuracy":[178,200,242],"characterizes":[180],"impact":[182],"over-the-air":[187],"aggregation.":[188,255],"Based":[189],"on":[190],"surrogate,":[192],"formulate":[194],"optimization":[196],"problem":[197],"targeting":[198],"maximization,":[201],"develop":[203],"efficient":[205],"algorithm":[206],"jointly":[208],"optimize":[209],"bit":[212],"allocation,":[213],"agent":[214],"transmission":[215],"coefficients,":[216],"receiving":[218],"beamforming,":[219],"beamforming.":[224],"Experimental":[225],"results":[226],"demonstrate":[227],"proposed":[230],"outperforms":[232],"state-of-the-art":[233],"baselines":[236],"terms":[238],"both":[240],"uncertainty,":[244],"achieving":[245],"performance":[246],"close":[247],"idealized":[250],"case":[251],"perfect":[253]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2026-03-17T00:00:00"}
