{"id":"https://openalex.org/W4408325547","doi":"https://doi.org/10.1109/globecom52923.2024.10901546","title":"Antenna Selection and Beamforming in ELAA-based ISAC System: A Distributed Approach","display_name":"Antenna Selection and Beamforming in ELAA-based ISAC System: A Distributed Approach","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408325547","doi":"https://doi.org/10.1109/globecom52923.2024.10901546"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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/A5102019504","display_name":"Qian Gao","orcid":"https://orcid.org/0009-0009-6984-6913"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Qian Gao","raw_affiliation_strings":["Queen Mary University of London,London,UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055980446","display_name":"Ruikang Zhong","orcid":"https://orcid.org/0000-0003-4914-6425"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ruikang Zhong","raw_affiliation_strings":["Queen Mary University of London,London,UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076863392","display_name":"Yuanwei Liu","orcid":"https://orcid.org/0000-0002-6389-8941"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yuanwei Liu","raw_affiliation_strings":["The University of Hong Kong,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102019504"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":2.691,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92813194,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1979","last_page":"1984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9966999888420105,"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":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.984499990940094,"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/T10069","display_name":"Antenna Design and Analysis","score":0.9797999858856201,"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/beamforming","display_name":"Beamforming","score":0.7118939161300659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7111631631851196},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6053634881973267},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3262748122215271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10712125897407532}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7118939161300659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111631631851196},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6053634881973267},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3262748122215271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10712125897407532}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom52923.2024.10901546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.49000000953674316,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2119490228","https://openalex.org/W2963415238","https://openalex.org/W3084857938","https://openalex.org/W3164550829","https://openalex.org/W4206542241","https://openalex.org/W4311414687","https://openalex.org/W4317796282","https://openalex.org/W4364322798","https://openalex.org/W4378194759","https://openalex.org/W4385885073","https://openalex.org/W4391019675","https://openalex.org/W4394744873","https://openalex.org/W4400351801","https://openalex.org/W4402156803","https://openalex.org/W4402978078","https://openalex.org/W6840380725","https://openalex.org/W6860910747"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2963170046","https://openalex.org/W2376244802","https://openalex.org/W1971477554","https://openalex.org/W2390279801","https://openalex.org/W2158075901","https://openalex.org/W818226659","https://openalex.org/W4391913857"],"abstract_inverted_index":{"An":[0],"extremely":[1],"large-scale":[2],"antenna":[3,30,50,102,118,140],"array":[4],"(ELAA)":[5],"based":[6],"integrated":[7],"sensing":[8,62,162],"and":[9,29,52,61,120,142,158],"communication":[10],"(ISAC)":[11],"system":[12],"is":[13,41,87],"investigated.":[14],"In":[15],"contrast":[16],"to":[17,55,116],"existing":[18],"near-field":[19],"ISAC":[20],"systems,":[21],"we":[22],"consider":[23],"the":[24,56,80,91,96,105,130,135,147,150],"complexity":[25],"of":[26,58,100,108,138,149],"beamforming":[27,121,143],"design":[28],"selection":[31,51,119,141],"for":[32,161],"ELAA":[33],"under":[34],"a":[35,69,123],"user-roaming":[36],"environment.":[37],"The":[38],"formulated":[39],"problem":[40],"maximizing":[42],"long-term":[43],"sum":[44],"data":[45,156],"rate":[46],"by":[47,94,145],"jointly":[48],"optimizing":[49],"beamforming,":[53],"subject":[54],"constraints":[57],"transmitting":[59],"power":[60],"targets\u2019":[63],"beam":[64],"pattern":[65],"gain.":[66],"We":[67],"propose":[68],"dimension":[70,93,152],"reduction":[71],"assisted":[72],"multi-agent":[73],"proximal":[74],"policy":[75],"optimization":[76,144],"(DR-MAPPO)":[77],"algorithm":[78,133],"against":[79],"dynamic":[81],"scenario:":[82],"1)":[83],"an":[84],"OrderConv":[85],"layer":[86],"designed,":[88],"which":[89],"reduces":[90],"input":[92,151],"removing":[95],"channel":[97],"state":[98],"information":[99,107],"unselected":[101],"while":[103,153],"keeping":[104],"order":[106],"selected":[109],"ones,":[110],"2)":[111],"multiple":[112],"agents":[113],"are":[114],"employed":[115],"execute":[117],"in":[122],"distributed":[124],"manner.":[125],"Numerical":[126],"results":[127],"demonstrate":[128],"that":[129],"proposed":[131],"DR-MAPPO":[132],"improve":[134],"computational":[136],"efficiency":[137],"joint":[139],"reducing":[146],"size":[148],"obtaining":[154],"comparable":[155],"rates":[157],"beampattern":[159],"gain":[160],"targets.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
