{"id":"https://openalex.org/W4390691198","doi":"https://doi.org/10.1109/mnet.2024.3352257","title":"Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G","display_name":"Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G","publication_year":2024,"publication_date":"2024-01-10","ids":{"openalex":"https://openalex.org/W4390691198","doi":"https://doi.org/10.1109/mnet.2024.3352257"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.2024.3352257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.2024.3352257","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","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/A5048712226","display_name":"Ruijin Sun","orcid":"https://orcid.org/0000-0002-4403-9893"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruijin Sun","raw_affiliation_strings":["State Key Laboratory of ISN and the School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN and the School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050651525","display_name":"Nan Cheng","orcid":"https://orcid.org/0000-0001-7907-2071"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Cheng","raw_affiliation_strings":["State Key Laboratory of ISN and the School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN and the School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015340798","display_name":"Changle Li","orcid":"https://orcid.org/0000-0003-2568-8908"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changle Li","raw_affiliation_strings":["State Key Laboratory of ISN and the School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN and the School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058218225","display_name":"Fangjiong Chen","orcid":"https://orcid.org/0000-0003-1031-492X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangjiong Chen","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344189","display_name":"Wen Chen","orcid":"https://orcid.org/0000-0003-2133-8679"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Chen","raw_affiliation_strings":["Department of Electronics Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048712226"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":11.5001,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.9901629,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"38","issue":"2","first_page":"70","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9984999895095825,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9984999895095825,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9983000159263611,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9959999918937683,"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":0.8146669864654541},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6933596134185791},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.6288204193115234},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5539216995239258},{"id":"https://openalex.org/keywords/knowledge-integration","display_name":"Knowledge integration","score":0.5348730087280273},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5159200429916382},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.45993542671203613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44964396953582764},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.44265931844711304},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4193277060985565},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.4161069393157959},{"id":"https://openalex.org/keywords/open-knowledge-base-connectivity","display_name":"Open Knowledge Base Connectivity","score":0.41402170062065125},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.397635281085968},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3565295934677124},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.335517942905426},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3263775408267975},{"id":"https://openalex.org/keywords/personal-knowledge-management","display_name":"Personal knowledge management","score":0.16995996236801147},{"id":"https://openalex.org/keywords/organizational-learning","display_name":"Organizational learning","score":0.12130779027938843},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09937268495559692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8146669864654541},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6933596134185791},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.6288204193115234},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5539216995239258},{"id":"https://openalex.org/C56289545","wikidata":"https://www.wikidata.org/wiki/Q6423376","display_name":"Knowledge integration","level":3,"score":0.5348730087280273},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5159200429916382},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.45993542671203613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44964396953582764},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.44265931844711304},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4193277060985565},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.4161069393157959},{"id":"https://openalex.org/C29804473","wikidata":"https://www.wikidata.org/wiki/Q2025711","display_name":"Open Knowledge Base Connectivity","level":4,"score":0.41402170062065125},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.397635281085968},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3565295934677124},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.335517942905426},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3263775408267975},{"id":"https://openalex.org/C187572123","wikidata":"https://www.wikidata.org/wiki/Q2034224","display_name":"Personal knowledge management","level":3,"score":0.16995996236801147},{"id":"https://openalex.org/C169735623","wikidata":"https://www.wikidata.org/wiki/Q1430172","display_name":"Organizational learning","level":2,"score":0.12130779027938843},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09937268495559692}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mnet.2024.3352257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.2024.3352257","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1970830346","https://openalex.org/W2896827527","https://openalex.org/W2936329642","https://openalex.org/W2964121960","https://openalex.org/W3008924632","https://openalex.org/W3111499798","https://openalex.org/W3133902371","https://openalex.org/W3156362535","https://openalex.org/W3176252472","https://openalex.org/W3194975941","https://openalex.org/W3196420731","https://openalex.org/W3196647917","https://openalex.org/W3211830369","https://openalex.org/W4285141199"],"related_works":["https://openalex.org/W2136104224","https://openalex.org/W1520100787","https://openalex.org/W2075096090","https://openalex.org/W2109464269","https://openalex.org/W2367629516","https://openalex.org/W2020036714","https://openalex.org/W2347609394","https://openalex.org/W2110174699","https://openalex.org/W2150560052","https://openalex.org/W2944675479"],"abstract_inverted_index":{"In":[0],"the":[1,34,42,47,92,99,180,193],"sixth-generation":[2],"(6G)":[3],"networks,":[4,96],"newly":[5],"emerging":[6],"diversified":[7],"services":[8],"of":[9,36,94,101,110,120,148,182,195],"massive":[10],"users":[11],"in":[12,113,123,172],"dynamic":[13],"network":[14,29,183],"environments":[15],"are":[16,32,138,166],"required":[17],"to":[18,41,86],"be":[19],"satisfied":[20],"by":[21],"multi-dimensional":[22],"heterogeneous":[23],"resources.":[24],"The":[25,169],"resulting":[26],"large-scale":[27],"complicated":[28],"optimization":[30,184],"problems":[31],"beyond":[33],"capability":[35],"model-based":[37],"theoretical":[38],"methods":[39],"due":[40],"overwhelming":[43],"computational":[44],"complexity":[45],"and":[46,56,70,135,155,190],"long":[48],"processing":[49],"time.":[50],"Although":[51],"with":[52],"fast":[53],"online":[54],"inference":[55],"universal":[57],"approximation":[58],"ability,":[59],"data-driven":[60],"deep":[61],"learning":[62],"(DL)":[63],"heavily":[64],"relies":[65],"on":[66],"abundant":[67],"training":[68],"data":[69],"lacks":[71],"interpretability.":[72],"To":[73],"address":[74],"these":[75],"issues,":[76],"a":[77,107,117,141,145,176],"new":[78],"paradigm":[79],"called":[80],"knowledge-driven":[81,111,121],"DL":[82,112,122],"has":[83],"emerged,":[84],"aiming":[85],"integrate":[87],"proven":[88],"domain":[89,188],"knowledge":[90,129,131,133,136,149,189],"into":[91],"construction":[93],"neural":[95],"thereby":[97],"exploiting":[98],"strengths":[100],"both":[102],"methods.":[103],"This":[104],"article":[105,174],"provides":[106],"systematic":[108],"review":[109],"wireless":[114,124],"networks.":[115,198],"Specifically,":[116],"holistic":[118],"framework":[119],"networks":[125],"is":[126,158],"proposed,":[127],"where":[128],"sources,":[130],"representation,":[132],"integration":[134,150],"application":[137],"forming":[139],"as":[140],"closed":[142],"loop.":[143],"Then,":[144],"detailed":[146],"taxonomy":[147],"approaches,":[151],"including":[152],"knowledge-assisted,":[153],"knowledge-fused,":[154],"knowledge-embedded":[156],"DL,":[157,191],"presented.":[159],"Several":[160],"open":[161],"issues":[162],"for":[163,179],"future":[164],"research":[165],"also":[167],"discussed.":[168],"insights":[170],"offered":[171],"this":[173],"provide":[175],"basic":[177],"principle":[178],"design":[181],"that":[185],"incorporates":[186],"communication-specific":[187],"facilitating":[192],"realization":[194],"intelligent":[196],"6G":[197]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":24}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
