{"id":"https://openalex.org/W4412722558","doi":"https://doi.org/10.1109/mcom.001.2400588","title":"GenNet: Computing-Efficient Generative AI for Deterministic Transmission Scheduling in 6G Networks","display_name":"GenNet: Computing-Efficient Generative AI for Deterministic Transmission Scheduling in 6G Networks","publication_year":2025,"publication_date":"2025-07-29","ids":{"openalex":"https://openalex.org/W4412722558","doi":"https://doi.org/10.1109/mcom.001.2400588"},"language":"en","primary_location":{"id":"doi:10.1109/mcom.001.2400588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcom.001.2400588","pdf_url":null,"source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"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 Communications Magazine","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/A5076675337","display_name":"Weiting Zhang","orcid":"https://orcid.org/0000-0003-2626-4883"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiting Zhang","raw_affiliation_strings":["Beijing Jiaotong University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102869188","display_name":"Jiadong Ren","orcid":"https://orcid.org/0000-0002-2245-9133"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiadong Ren","raw_affiliation_strings":["Beijing Jiaotong University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072070085","display_name":"Tao Zheng","orcid":"https://orcid.org/0000-0002-1677-6466"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zheng","raw_affiliation_strings":["Beijing Jiaotong University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079076598","display_name":"Ruibin Guo","orcid":"https://orcid.org/0009-0002-9397-9854"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruibin Guo","raw_affiliation_strings":["Beijing Jiaotong University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399283","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0002-0613-3395"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhang","raw_affiliation_strings":["Beijing Jiaotong University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080122431","display_name":"Shiwen Mao","orcid":"https://orcid.org/0000-0002-7052-0007"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiwen Mao","raw_affiliation_strings":["Auburn University,Auburn,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Auburn,USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091713195","display_name":"Hongke Zhang","orcid":"https://orcid.org/0000-0001-8906-813X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongke Zhang","raw_affiliation_strings":["Beijing Jiaotong University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3879,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82234908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"63","issue":"8","first_page":"48","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9898999929428101,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9898999929428101,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9861000180244446,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9742000102996826,"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/computer-science","display_name":"Computer science","score":0.9004480838775635},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5658983588218689},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5301846861839294},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4342893362045288},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3924221098423004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3396361768245697},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.18465480208396912}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9004480838775635},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5658983588218689},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5301846861839294},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4342893362045288},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3924221098423004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3396361768245697},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.18465480208396912},{"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/mcom.001.2400588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcom.001.2400588","pdf_url":null,"source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"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 Communications Magazine","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":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G7032713022","display_name":null,"funder_award_id":"62394321","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W4312425703","https://openalex.org/W4312959111","https://openalex.org/W4381735906","https://openalex.org/W4386212321","https://openalex.org/W4386243260","https://openalex.org/W4386883058","https://openalex.org/W4387245356","https://openalex.org/W4387415166","https://openalex.org/W4391019625","https://openalex.org/W4391547590","https://openalex.org/W4391590983","https://openalex.org/W4393226871","https://openalex.org/W4399727824","https://openalex.org/W4400228202","https://openalex.org/W4401070271","https://openalex.org/W4401176007"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W4379540039","https://openalex.org/W4237784285","https://openalex.org/W2374712251","https://openalex.org/W4383031710","https://openalex.org/W3211753092","https://openalex.org/W2386000789"],"abstract_inverted_index":{"With":[0],"the":[1,4,23,36,91,145,149],"development":[2],"of":[3,38,83,94,148,170],"sixth":[5],"generation":[6,61],"(6G)":[7],"networks,":[8],"ubiquitous":[9],"intelligence,":[10],"computing,":[11],"and":[12,18,59,98,133,141,143,156,180],"networking":[13],"integration,":[14],"low":[15,19],"energy":[16],"consumption,":[17],"delay":[20],"have":[21],"become":[22],"key":[24],"characteristics.":[25],"These":[26],"characteristics":[27],"pose":[28],"significant":[29],"challenges":[30],"for":[31,177],"traffic":[32],"scheduling,":[33],"particularly":[34],"in":[35,55,64,87],"context":[37],"intelligent":[39,84,134],"computing":[40,85,96,135],"services.":[41],"In":[42],"recent":[43],"years,":[44],"generative":[45,71,178],"artificial":[46],"intelligence":[47],"(AI)":[48],"has":[49],"demonstrated":[50],"remarkable":[51],"performance":[52],"not":[53],"only":[54],"natural":[56],"language":[57],"processing":[58],"image":[60],"but":[62],"also":[63],"network":[65,74],"optimization.":[66],"This":[67],"article":[68],"presents":[69],"a":[70,105,163,168],"AI-endogenous":[72],"three-layer":[73],"architecture,":[75],"named":[76],"GenNet,":[77],"to":[78,118,152],"support":[79],"more":[80],"efficient":[81,128],"scheduling":[82,112],"services":[86],"6G":[88],"networks":[89,155],"by":[90,167],"dynamic":[92],"adaptation":[93],"heterogeneous":[95],"resources":[97],"diversified":[99],"service":[100],"requirements.":[101],"Moreover,":[102],"we":[103,161],"propose":[104],"dueling":[106],"double":[107],"deep":[108],"Q-network":[109],"(D3QN)-based":[110],"transmission":[111],"algorithm":[113,126],"that":[114,174],"leverages":[115],"diffusion":[116,150],"models":[117],"achieve":[119],"cross-domain":[120],"end-to-end":[121],"deterministic":[122],"transmission.":[123],"The":[124],"proposed":[125],"facilitates":[127],"interaction":[129],"between":[130],"edge":[131],"devices":[132],"centers":[136],"while":[137],"reducing":[138],"system":[139],"cost":[140],"delay,":[142],"utilizes":[144],"denoising":[146],"capability":[147],"model":[151],"adaptively":[153],"configure":[154],"optimize":[157],"resource":[158],"allocation.":[159],"Finally,":[160],"present":[162],"case":[164],"study,":[165],"followed":[166],"discussion":[169],"open":[171],"research":[172],"issues":[173],"are":[175],"essential":[176],"AI":[179],"future":[181],"networks.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}