{"id":"https://openalex.org/W4300408347","doi":"https://doi.org/10.1109/jiot.2022.3196683","title":"Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks","display_name":"Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks","publication_year":2022,"publication_date":"2022-08-05","ids":{"openalex":"https://openalex.org/W4300408347","doi":"https://doi.org/10.1109/jiot.2022.3196683"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3196683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3196683","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5015801640","display_name":"Thi Ha Ly Dinh","orcid":"https://orcid.org/0000-0001-9986-800X"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thi Ha Ly Dinh","raw_affiliation_strings":["Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9986-800X","affiliations":[{"raw_affiliation_string":"Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034520384","display_name":"Megumi Kaneko","orcid":"https://orcid.org/0000-0003-4943-4769"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Megumi Kaneko","raw_affiliation_strings":["Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4943-4769","affiliations":[{"raw_affiliation_string":"Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014072485","display_name":"Kaito Fujii","orcid":"https://orcid.org/0000-0002-4315-6369"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaito Fujii","raw_affiliation_strings":["Principles of Informatics Research Division, National Institute of Informatics, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4315-6369","affiliations":[{"raw_affiliation_string":"Principles of Informatics Research Division, National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I184597095"],"apc_list":null,"apc_paid":null,"fwci":0.4417,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59525065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":"24","first_page":"25395","last_page":"25408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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":1.0,"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":1.0,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","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"}}],"keywords":[{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.8781391382217407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7798148393630981},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.642423689365387},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6421283483505249},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6388317346572876},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5871238112449646},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5490161180496216},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5228098630905151},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5176128149032593},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47144994139671326},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.45682528614997864},{"id":"https://openalex.org/keywords/lagrangian-relaxation","display_name":"Lagrangian relaxation","score":0.4492281675338745},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42417019605636597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18866091966629028},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16389399766921997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1314847767353058}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.8781391382217407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798148393630981},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.642423689365387},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6421283483505249},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6388317346572876},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5871238112449646},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5490161180496216},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5228098630905151},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5176128149032593},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47144994139671326},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.45682528614997864},{"id":"https://openalex.org/C91765299","wikidata":"https://www.wikidata.org/wiki/Q3424292","display_name":"Lagrangian relaxation","level":2,"score":0.4492281675338745},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42417019605636597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18866091966629028},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16389399766921997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1314847767353058},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2022.3196683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3196683","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3401476634","display_name":"Non-Orthogonal Resource Allocation in 5G Cloud Radio Access Networks","funder_award_id":"17K06453","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6837562400","display_name":"Energy and Radio Resource Efficiency Optimization for 6G Smart IoT Communications","funder_award_id":"22KK0156","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8369808879","display_name":"Researches on Model-aided Learning Approaches for Reliable Realtime Control in Future Wireless Systems","funder_award_id":"20H00592","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1518945650","https://openalex.org/W1680189815","https://openalex.org/W1917463349","https://openalex.org/W2031858701","https://openalex.org/W2132651631","https://openalex.org/W2170391791","https://openalex.org/W2179494254","https://openalex.org/W2613033953","https://openalex.org/W2768078511","https://openalex.org/W2770606349","https://openalex.org/W2786608596","https://openalex.org/W2906979799","https://openalex.org/W2960189638","https://openalex.org/W2962785465","https://openalex.org/W2963927517","https://openalex.org/W2970065831","https://openalex.org/W2971940203","https://openalex.org/W2981096252","https://openalex.org/W3001570336","https://openalex.org/W3045086480","https://openalex.org/W3046331425","https://openalex.org/W3102329989","https://openalex.org/W3110950218","https://openalex.org/W3113230996","https://openalex.org/W3123367503","https://openalex.org/W3135725526","https://openalex.org/W3136434144","https://openalex.org/W3182439548","https://openalex.org/W3202871337","https://openalex.org/W4213255380","https://openalex.org/W4225815140","https://openalex.org/W4312337583","https://openalex.org/W6737752242","https://openalex.org/W6789218268","https://openalex.org/W6792152572"],"related_works":["https://openalex.org/W2896347948","https://openalex.org/W2402949237","https://openalex.org/W4302557420","https://openalex.org/W2950500962","https://openalex.org/W2915041254","https://openalex.org/W2594118609","https://openalex.org/W2765425000","https://openalex.org/W3204684126","https://openalex.org/W4389478405","https://openalex.org/W2735578456"],"abstract_inverted_index":{"The":[0,130],"joint":[1],"provision":[2],"of":[3,10,19,34,83,97,155],"higher":[4],"data":[5],"rates":[6],"and":[7,37,64,120,148,158],"massive":[8],"Internet":[9],"Things":[11],"(IoT)":[12],"connectivity":[13],"has":[14],"been":[15],"identified":[16,95],"as":[17,53,73,137],"one":[18],"the":[20,32,50,66,81,84,94,98,127,134,163,168],"key":[21],"milestones":[22],"toward":[23],"beyond":[24],"5G":[25],"(B5G).":[26],"To":[27],"this":[28,109],"end,":[29],"we":[30,78,102],"investigate":[31],"issue":[33],"device":[35],"selection":[36],"beamforming":[38],"(BF)":[39],"optimization":[40,111],"assuming":[41],"a":[42,54,114,117,122,140],"large-scale":[43],"IoT":[44],"network":[45,55,146],"using":[46],"mmWaves.":[47],"We":[48],"formulate":[49],"considered":[51],"problem":[52,58,99],"sum-rate":[56],"maximization":[57],"under":[59,87],"Access":[60],"Points\u2019":[61],"load":[62],"constraints,":[63],"where":[65],"BF":[67],"parameters":[68],"belong":[69],"to":[70,107],"discrete":[71],"sets,":[72],"in":[74,144,153],"practical":[75],"cases.":[76],"First,":[77],"mathematically":[79],"prove":[80],"submodularity":[82],"objective":[85],"function,":[86],"specific":[88],"yet":[89],"reasonable":[90],"assumptions.":[91],"Based":[92],"on":[93],"features":[96],"at":[100],"hand,":[101],"propose":[103],"three":[104,135],"different":[105],"approaches":[106],"tackle":[108],"intricate":[110],"problem:":[112],"1)":[113],"Branch-and-Bound-based;":[115],"2)":[116],"Lagrangian":[118],"Relaxation-based;":[119],"3)":[121],"Greedy-based":[123,165],"approach":[124,166],"inspired":[125],"by":[126],"submodular":[128],"objective.":[129],"numerical":[131],"results":[132],"validate":[133],"approaches,":[136],"they":[138],"achieve":[139],"near-optimal":[141],"sum":[142,156,170],"rate":[143,157,171],"small":[145],"cases,":[147],"largely":[149],"outperform":[150],"benchmark":[151],"schemes":[152],"terms":[154],"individual":[159],"rates.":[160],"Among":[161],"them,":[162],"proposed":[164],"achieves":[167],"best":[169],"with":[172],"very":[173],"low":[174],"complexity,":[175],"thereby":[176],"providing":[177],"excellent":[178],"scalability.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}