{"id":"https://openalex.org/W4387870749","doi":"https://doi.org/10.1109/icc45041.2023.10279582","title":"Learning-Based Adaptive User Selection in Millimeter Wave Hybrid Beamforming Systems","display_name":"Learning-Based Adaptive User Selection in Millimeter Wave Hybrid Beamforming Systems","publication_year":2023,"publication_date":"2023-05-28","ids":{"openalex":"https://openalex.org/W4387870749","doi":"https://doi.org/10.1109/icc45041.2023.10279582"},"language":"en","primary_location":{"id":"doi:10.1109/icc45041.2023.10279582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10279582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","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/A5100405463","display_name":"Jung-Hoon Kim","orcid":"https://orcid.org/0000-0002-6900-6772"},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Junghoon Kim","raw_affiliation_strings":["Nokia Bell Labs,Murray Hill,NJ,USA","Nokia Bell Labs, Murray Hill, NJ, USA","Summer intern from Purdue University"],"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Murray Hill,NJ,USA","institution_ids":["https://openalex.org/I72090969"]},{"raw_affiliation_string":"Nokia Bell Labs, Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I72090969"]},{"raw_affiliation_string":"Summer intern from Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077188973","display_name":"Matthew Andrews","orcid":"https://orcid.org/0000-0002-0977-9685"},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Andrews","raw_affiliation_strings":["Nokia Bell Labs,Murray Hill,NJ,USA","Nokia Bell Labs, Murray Hill, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Murray Hill,NJ,USA","institution_ids":["https://openalex.org/I72090969"]},{"raw_affiliation_string":"Nokia Bell Labs, Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I72090969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100405463"],"corresponding_institution_ids":["https://openalex.org/I219193219","https://openalex.org/I72090969"],"apc_list":null,"apc_paid":null,"fwci":0.6694,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6929601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5645","last_page":"5650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9998999834060669,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998000264167786,"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/T10262","display_name":"Microwave Engineering and Waveguides","score":0.9945999979972839,"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":0.7923916578292847},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.716239333152771},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.7120415568351746},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5462656617164612},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5145334601402283},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5082549452781677},{"id":"https://openalex.org/keywords/multi-user","display_name":"Multi-user","score":0.5005614757537842},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.48876380920410156},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47744065523147583},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.4426652193069458},{"id":"https://openalex.org/keywords/user-equipment","display_name":"User equipment","score":0.4346403479576111},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.42098939418792725},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39260947704315186},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.38782528042793274},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3469320833683014},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27107810974121094},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.23402950167655945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14614495635032654},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1378195881843567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7923916578292847},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.716239333152771},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7120415568351746},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5462656617164612},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5145334601402283},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5082549452781677},{"id":"https://openalex.org/C2778002699","wikidata":"https://www.wikidata.org/wiki/Q876057","display_name":"Multi-user","level":2,"score":0.5005614757537842},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.48876380920410156},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47744065523147583},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.4426652193069458},{"id":"https://openalex.org/C2781327853","wikidata":"https://www.wikidata.org/wiki/Q3552547","display_name":"User equipment","level":3,"score":0.4346403479576111},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.42098939418792725},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39260947704315186},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.38782528042793274},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3469320833683014},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27107810974121094},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.23402950167655945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14614495635032654},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1378195881843567},{"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/icc45041.2023.10279582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10279582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W150992880","https://openalex.org/W1956027752","https://openalex.org/W1991056455","https://openalex.org/W2034651337","https://openalex.org/W2047024541","https://openalex.org/W2128513990","https://openalex.org/W2163634514","https://openalex.org/W2493250899","https://openalex.org/W2604992528","https://openalex.org/W2775830324","https://openalex.org/W2981458257","https://openalex.org/W3027978347","https://openalex.org/W3099908750","https://openalex.org/W3186050036"],"related_works":["https://openalex.org/W2949356284","https://openalex.org/W2960560748","https://openalex.org/W2738443087","https://openalex.org/W2491042870","https://openalex.org/W2098218324","https://openalex.org/W3036115275","https://openalex.org/W2358334335","https://openalex.org/W2785694350","https://openalex.org/W4385624433","https://openalex.org/W2613826704"],"abstract_inverted_index":{"We":[0,61,132],"consider":[1],"a":[2,63,135,139,145],"multi-user":[3],"hybrid":[4],"beamforming":[5],"system,":[6],"where":[7,73],"the":[8,14,22,32,39,46,56,59,70,75,88,98,105,111,126,158,162,169,172],"multiplexing":[9,33],"gain":[10],"is":[11,36,81,108,120],"limited":[12],"by":[13],"small":[15],"number":[16],"of":[17,45,104,171],"RF":[18],"chains":[19],"employed":[20],"at":[21,48,74,87],"base":[23],"station":[24],"(BS).":[25],"To":[26],"allow":[27],"greater":[28],"freedom":[29],"for":[30,83,94,129],"maximizing":[31],"gain,":[34],"it":[35,181],"better":[37],"if":[38],"BS":[40],"selects":[41],"and":[42,86,138,142,161,178],"serves":[43],"some":[44],"users":[47,57,91],"each":[49,84],"scheduling":[50],"instant,":[51],"rather":[52],"than":[53],"serving":[54],"all":[55,58],"time.":[60,164],"adopt":[62],"two-timescale":[64],"protocol":[65],"that":[66,180],"takes":[67],"into":[68],"account":[69],"mmWave":[71],"characteristics,":[72],"long":[76],"timescale":[77,90],"an":[78,154,183],"analog":[79,100,127],"beam":[80],"chosen":[82,99],"user,":[85],"short":[89],"are":[92],"selected":[93,130],"transmission":[95],"based":[96],"on":[97],"beams.":[101],"The":[102],"goal":[103],"user":[106,149],"selection":[107,150],"to":[109,123,152,190],"maximize":[110],"traditional":[112],"Proportional":[113],"Fair":[114],"(PF)":[115],"metric.":[116],"However,":[117],"this":[118],"maximization":[119],"non-trivial":[121],"due":[122],"interference":[124],"between":[125,157],"beams":[128],"users.":[131],"first":[133],"define":[134],"greedy":[136],"algorithm":[137,151,174],"\u201ctop-k\u201d":[140],"algorithm,":[141],"then":[143],"propose":[144],"machine":[146],"learning":[147],"(ML)-based":[148],"provide":[153],"efficient":[155,184],"trade-off":[156,185],"PF":[159],"performance":[160,170,187],"computation":[163],"Through":[165],"simulations,":[166],"we":[167],"analyze":[168],"ML-based":[173],"under":[175],"various":[176],"metrics,":[177],"show":[179],"gives":[182],"in":[186],"as":[188],"compared":[189],"counterparts.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}