{"id":"https://openalex.org/W4387885734","doi":"https://doi.org/10.1109/tce.2023.3325128","title":"Intelligent Beamforming for UAV-Assisted IIoT Based on Hypergraph Inspired Explainable Deep Learning","display_name":"Intelligent Beamforming for UAV-Assisted IIoT Based on Hypergraph Inspired Explainable Deep Learning","publication_year":2023,"publication_date":"2023-10-23","ids":{"openalex":"https://openalex.org/W4387885734","doi":"https://doi.org/10.1109/tce.2023.3325128"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2023.3325128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3325128","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Consumer Electronics","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/A5100390094","display_name":"Haitao Zhao","orcid":"https://orcid.org/0000-0002-3539-3532"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Zhao","raw_affiliation_strings":["School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3539-3532","affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045075979","display_name":"Kun Liu","orcid":"https://orcid.org/0000-0002-7349-8730"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Liu","raw_affiliation_strings":["School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017351306","display_name":"Miao Liu","orcid":"https://orcid.org/0000-0003-1385-266X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Liu","raw_affiliation_strings":["School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1385-266X","affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005877741","display_name":"Sahil Garg","orcid":"https://orcid.org/0000-0003-0229-608X"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sahil Garg","raw_affiliation_strings":["Electrical Engineering Department, École de technologie supérieure, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0003-0229-608X","affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, École de technologie supérieure, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049726789","display_name":"Mubarak Alrashoud","orcid":"https://orcid.org/0000-0002-5902-7414"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mubarak Alrashoud","raw_affiliation_strings":["Department of Software Engineering (SWE), College of Computer and Information Sciences (CCIS), King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-5902-7414","affiliations":[{"raw_affiliation_string":"Department of Software Engineering (SWE), College of Computer and Information Sciences (CCIS), King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0293,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.96335241,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"70","issue":"1","first_page":"1972","last_page":"1982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9976999759674072,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9968000054359436,"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/scalability","display_name":"Scalability","score":0.7698769569396973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7672543525695801},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6665976643562317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6529838442802429},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.5954376459121704},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5789731740951538},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48211097717285156},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48177000880241394},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4548514485359192},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4406956136226654},{"id":"https://openalex.org/keywords/industrial-internet","display_name":"Industrial Internet","score":0.43249356746673584},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.15978211164474487},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13808146119117737},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10452541708946228}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7698769569396973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672543525695801},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6665976643562317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6529838442802429},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.5954376459121704},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5789731740951538},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48211097717285156},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48177000880241394},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4548514485359192},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4406956136226654},{"id":"https://openalex.org/C202839342","wikidata":"https://www.wikidata.org/wiki/Q60740481","display_name":"Industrial Internet","level":3,"score":0.43249356746673584},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.15978211164474487},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13808146119117737},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10452541708946228},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2023.3325128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3325128","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1970830346","https://openalex.org/W2616867685","https://openalex.org/W2774053825","https://openalex.org/W2788350651","https://openalex.org/W2797462110","https://openalex.org/W2803323405","https://openalex.org/W2805516822","https://openalex.org/W2809925683","https://openalex.org/W2883246807","https://openalex.org/W2884702671","https://openalex.org/W2890612944","https://openalex.org/W2896215772","https://openalex.org/W2896666719","https://openalex.org/W2897027921","https://openalex.org/W2902897529","https://openalex.org/W2908498346","https://openalex.org/W2919467785","https://openalex.org/W2963667619","https://openalex.org/W2964021722","https://openalex.org/W2965857891","https://openalex.org/W2968018638","https://openalex.org/W2971598376","https://openalex.org/W2981871664","https://openalex.org/W2988930013","https://openalex.org/W2992716901","https://openalex.org/W3000627755","https://openalex.org/W3006842217","https://openalex.org/W3011240986","https://openalex.org/W3038426846","https://openalex.org/W3044591330","https://openalex.org/W3102449016","https://openalex.org/W3111499798","https://openalex.org/W3111885788","https://openalex.org/W3126355536","https://openalex.org/W3152787073","https://openalex.org/W3162620739","https://openalex.org/W3173386267","https://openalex.org/W3180838358","https://openalex.org/W3190664711","https://openalex.org/W4200597625","https://openalex.org/W4212937105","https://openalex.org/W4220674695","https://openalex.org/W4220777603","https://openalex.org/W4225931180","https://openalex.org/W4226117435","https://openalex.org/W4285122253","https://openalex.org/W4285131565","https://openalex.org/W4290711875","https://openalex.org/W4308085864","https://openalex.org/W4321021068","https://openalex.org/W4360979151","https://openalex.org/W4381744889","https://openalex.org/W4391742880","https://openalex.org/W6751796012","https://openalex.org/W6762078418","https://openalex.org/W6810416312"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W2472555608"],"abstract_inverted_index":{"The":[0],"development":[1,8,35],"of":[2,9,12,18,27,30,36,115,122,151,245,249],"industry":[3],"is":[4,78,165,171,187],"inseparable":[5],"from":[6],"the":[7,16,25,33,59,90,112,120,124,138,149,155,168,176,191,195,207,211,220,234,241,246],"Industrial":[10],"Internet":[11],"Things":[13],"(IIoT),":[14],"however,":[15],"limitations":[17,248],"previous":[19],"wireless":[20],"technologies":[21],"can":[22,224],"greatly":[23],"affect":[24],"performance":[26],"all":[28,123],"aspects":[29],"IIoT.":[31,160],"With":[32],"continuous":[34],"artificial":[37],"intelligence":[38],"(AI),":[39],"deep":[40,231],"learning":[41,76,185,232],"enabled":[42],"intelligent":[43],"communication":[44],"has":[45,237],"been":[46],"widely":[47],"studied":[48],"towards":[49],"B5G":[50],"and":[51,68,107,118,127,154,167,210,217],"6G.":[52],"While,":[53],"most":[54],"existing":[55],"neural":[56,85,252],"networks":[57],"for":[58,175,193,205,255],"current":[60],"research":[61],"often":[62],"have":[63],"poor":[64],"performances":[65,216],"on":[66,214],"scalability":[67],"universality":[69],"issues.":[70],"In":[71],"this":[72],"paper,":[73],"an":[74,183],"unsupervised":[75,184],"framework":[77],"introduced":[79],"with":[80,131,142,229],"mixed":[81],"interference":[82,156],"based":[83],"graph":[84,145,251],"network":[86,117,253],"(MIGNN),":[87],"to":[88,104,147,173,189],"solve":[89],"distributed":[91],"beamforming":[92,121,197,215],"problem":[93,141],"in":[94],"unmanned":[95],"aerial":[96],"vehicle":[97],"(UAV)":[98],"assisted":[99,159],"IIoT,":[100],"including":[101],"both":[102,206],"machine":[103,105],"(M2M)":[106],"UAVs.":[108],"Firstly,":[109],"we":[110,136],"constructed":[111],"system":[113],"model":[114,164],"heterogeneous":[116,144],"considered":[119],"air-to-ground":[125],"(A2G)":[126],"industrial":[128],"M2M":[129],"links":[130,153],"mutual":[132],"co-channel":[133],"interferences.":[134],"Secondly,":[135],"formulated":[137],"resource":[139],"allocation":[140],"a":[143,162],"structure,":[146],"describe":[148],"relationships":[150],"different":[152],"among":[157],"UAV":[158],"Then,":[161],"MIGNN":[163],"proposed":[166,188,208,235],"hypergraph":[169],"idea":[170],"integrated":[172],"compensate":[174],"traditional":[177,212,230,250],"graphs":[178],"caused":[179],"information":[180],"loss.":[181],"Furthermore,":[182],"method":[186,209],"train":[190],"hyper-MIGNN":[192,242],"achieve":[194],"optimal":[196],"results.":[198],"At":[199],"last,":[200],"numerical":[201],"simulations":[202],"are":[203],"conducted":[204],"ones":[213],"efficiencies.":[218],"From":[219],"experimental":[221],"results,":[222],"it":[223],"be":[225],"verified":[226],"that":[227],"comparisons":[228],"methods,":[233],"one":[236],"stronger":[238],"scalability.":[239],"Moreover,":[240],"gets":[243],"rid":[244],"application":[247],"(GNN)":[254],"just":[256],"homogeneous":[257],"networks.":[258]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}