{"id":"https://openalex.org/W4400276458","doi":"https://doi.org/10.1109/wcnc57260.2024.10570569","title":"Learning Adaptive Beamforming Policy for Different Optimization Problems","display_name":"Learning Adaptive Beamforming Policy for Different Optimization Problems","publication_year":2024,"publication_date":"2024-04-21","ids":{"openalex":"https://openalex.org/W4400276458","doi":"https://doi.org/10.1109/wcnc57260.2024.10570569"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc57260.2024.10570569","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcnc57260.2024.10570569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-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/A5025038200","display_name":"Yang Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Ma","raw_affiliation_strings":["Beihang University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082950698","display_name":"Chenyang Yang","orcid":"https://orcid.org/0000-0003-0058-0765"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Yang","raw_affiliation_strings":["Beihang University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040178565","display_name":"Shengqian Han","orcid":"https://orcid.org/0000-0002-2085-3292"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengqian Han","raw_affiliation_strings":["Beihang University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041458795","display_name":"Baichuan Zhao","orcid":"https://orcid.org/0000-0002-5654-5136"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baichuan Zhao","raw_affiliation_strings":["Beihang University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025038200"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.3045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86007659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.8984000086784363,"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/T11946","display_name":"Antenna Design and Optimization","score":0.8984000086784363,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.635906994342804},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5682134032249451},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.5498570799827576},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42523178458213806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3326789140701294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15321654081344604},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14840877056121826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.635906994342804},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5682134032249451},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.5498570799827576},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42523178458213806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3326789140701294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15321654081344604},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14840877056121826}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc57260.2024.10570569","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcnc57260.2024.10570569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1970830346","https://openalex.org/W2072599023","https://openalex.org/W2187497965","https://openalex.org/W2336764954","https://openalex.org/W2535351973","https://openalex.org/W2604763608","https://openalex.org/W2892234452","https://openalex.org/W2991155877","https://openalex.org/W2999146029","https://openalex.org/W3002189898","https://openalex.org/W3041133507","https://openalex.org/W3098133185","https://openalex.org/W3100120649","https://openalex.org/W3189854358","https://openalex.org/W4280508843","https://openalex.org/W4302363874","https://openalex.org/W4315630116","https://openalex.org/W4366492990","https://openalex.org/W4392158279","https://openalex.org/W6736057607"],"related_works":["https://openalex.org/W818226659","https://openalex.org/W2009075871","https://openalex.org/W2132841313","https://openalex.org/W2105408150","https://openalex.org/W1976800395","https://openalex.org/W2606661315","https://openalex.org/W2548445082","https://openalex.org/W636053046","https://openalex.org/W2072054645","https://openalex.org/W2167062574"],"abstract_inverted_index":{"Deep":[0],"learning":[1,61,118,175],"has":[2],"been":[3],"widely":[4],"used":[5],"for":[6,20,62,84,139,174],"wireless":[7],"optimization.":[8],"In":[9,55],"most":[10],"existing":[11],"studies,":[12],"a":[13,21,81,170],"deep":[14],"neural":[15,167],"network":[16,168,172],"(DNN)":[17],"is":[18,169],"trained":[19,134,156],"particular":[22],"optimization":[23,49,64,87,144,163],"problem":[24,31],"and":[25,93,120,152,165],"then":[26],"tested":[27],"on":[28],"the":[29,36,40,60,110,142,155,162],"same":[30,37],"with":[32,51,136],"samples":[33,138],"drawn":[34],"from":[35,99],"distribution":[38],"as":[39,73],"training":[41],"data.":[42],"Practical":[43],"systems,":[44],"however,":[45],"typically":[46],"involve":[47],"multiple":[48],"problems":[50],"conflicting":[52,111],"objective":[53,112],"functions.":[54],"this":[56],"paper,":[57],"we":[58,114],"study":[59],"multi-objective":[63],"(MOO)":[65],"by":[66],"using":[67],"beamforming":[68,82,128,177],"in":[69],"multi-user":[70],"multi-antenna":[71],"system":[72],"an":[74,126],"illustrative":[75],"example.":[76],"We":[77],"seek":[78],"to":[79,108,116,124,158,161],"learn":[80,125],"policy":[83],"two":[85,143],"distinct":[86],"problems:":[88],"power-constrained":[89],"sum":[90],"rate":[91],"maximization":[92],"signal-to-interference-plus-noise":[94],"ratio-constrained":[95],"power":[96],"minimization.":[97],"Different":[98],"conventional":[100],"MOO":[101],"methods,":[102],"which":[103],"primarily":[104],"find":[105],"Pareto-optimal":[106],"solutions":[107],"balance":[109],"functions,":[113],"resort":[115],"transfer":[117],"(TL)":[119],"model-agnostic":[121],"meta-learning":[122],"(MAML)":[123],"adaptive":[127,176],"policy,":[129],"allowing":[130],"efficient":[131],"fine-tuning":[132],"of":[133,141],"DNNs":[135,157],"limited":[137],"either":[140],"problems.":[145],"Simulation":[146],"results":[147],"demonstrate":[148],"that":[149],"both":[150],"TL":[151],"MAML":[153],"enable":[154],"efficiently":[159],"adapt":[160],"problems,":[164],"graph":[166],"promising":[171],"architecture":[173],"policies.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
