{"id":"https://openalex.org/W4372259820","doi":"https://doi.org/10.1109/icassp49357.2023.10095269","title":"Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization","display_name":"Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372259820","doi":"https://doi.org/10.1109/icassp49357.2023.10095269"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.16712","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005929408","display_name":"H. N. Hashmi","orcid":"https://orcid.org/0000-0002-3008-3535"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]},{"id":"https://openalex.org/I4210117499","display_name":"Yale New Haven Health System","ror":"https://ror.org/01s1hsq14","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210117499"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hassaan Hashmi","raw_affiliation_strings":["Yale University,Department of EE,New Haven,USA","Department of EE, Yale University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of EE,New Haven,USA","institution_ids":["https://openalex.org/I32971472","https://openalex.org/I4210117499"]},{"raw_affiliation_string":"Department of EE, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017796051","display_name":"Spyridon Pougkakiotis","orcid":"https://orcid.org/0000-0001-7903-9335"},"institutions":[{"id":"https://openalex.org/I4210117499","display_name":"Yale New Haven Health System","ror":"https://ror.org/01s1hsq14","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210117499"]},{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Spyridon Pougkakiotis","raw_affiliation_strings":["Yale University,Department of EE,New Haven,USA","Department of EE, Yale University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of EE,New Haven,USA","institution_ids":["https://openalex.org/I32971472","https://openalex.org/I4210117499"]},{"raw_affiliation_string":"Department of EE, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091493591","display_name":"Dionysios S. Kalogerias","orcid":"https://orcid.org/0000-0002-3459-5044"},"institutions":[{"id":"https://openalex.org/I4210117499","display_name":"Yale New Haven Health System","ror":"https://ror.org/01s1hsq14","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210117499"]},{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dionysios S. Kalogerias","raw_affiliation_strings":["Yale University,Department of EE,New Haven,USA","Department of EE, Yale University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of EE,New Haven,USA","institution_ids":["https://openalex.org/I32971472","https://openalex.org/I4210117499"]},{"raw_affiliation_string":"Department of EE, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005929408"],"corresponding_institution_ids":["https://openalex.org/I32971472","https://openalex.org/I4210117499"],"apc_list":null,"apc_paid":null,"fwci":0.3965,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58496853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","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/T11458","display_name":"Advanced Wireless Communication Technologies","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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9973999857902527,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.7545266151428223},{"id":"https://openalex.org/keywords/precoding","display_name":"Precoding","score":0.6872816681861877},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6743929386138916},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6490226984024048},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6408788561820984},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5691851377487183},{"id":"https://openalex.org/keywords/spectral-efficiency","display_name":"Spectral efficiency","score":0.5182009339332581},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.49797892570495605},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4923347234725952},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4401174485683441},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41878652572631836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3200995922088623},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19277194142341614},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16391173005104065},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12661442160606384},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.12604382634162903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7545266151428223},{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.6872816681861877},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6743929386138916},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6490226984024048},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6408788561820984},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5691851377487183},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.5182009339332581},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.49797892570495605},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4923347234725952},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4401174485683441},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41878652572631836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3200995922088623},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19277194142341614},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16391173005104065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12661442160606384},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.12604382634162903},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/f6129afb-d998-4b7a-bb4c-0a4817d9491d","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/f6129afb-d998-4b7a-bb4c-0a4817d9491d","pdf_url":"https://arxiv.org/pdf/2210.16712","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hashmi, H, Pougkakiotis, S & Kalogerias, D 2023, Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization. in International Conference on Acoustics, Speech, and Signal Processing (ICASSP). https://doi.org/10.1109/ICASSP49357.2023.10095269","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:discovery.dundee.ac.uk:openaire_cris_publications/f10f3077-7cec-4ee5-8e4c-2644db81610d","is_oa":false,"landing_page_url":"https://discovery.dundee.ac.uk/en/publications/f10f3077-7cec-4ee5-8e4c-2644db81610d","pdf_url":null,"source":{"id":"https://openalex.org/S4306400523","display_name":"Discovery Research Portal (University of Dundee)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177639307","host_organization_name":"University of Dundee","host_organization_lineage":["https://openalex.org/I177639307"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hashmi, H, Pougkakiotis, S & Kalogerias, D S 2023, Model-free learning of optimal beamformers for passive IRS-assisted sumrate maximization. in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)., 10095269, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2023-June, IEEE, pp. 1-5, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Greece, 4/06/23. https://doi.org/10.1109/ICASSP49357.2023.10095269","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/f6129afb-d998-4b7a-bb4c-0a4817d9491d","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/f6129afb-d998-4b7a-bb4c-0a4817d9491d","pdf_url":"https://arxiv.org/pdf/2210.16712","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hashmi, H, Pougkakiotis, S & Kalogerias, D 2023, Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization. in International Conference on Acoustics, Speech, and Signal Processing (ICASSP). https://doi.org/10.1109/ICASSP49357.2023.10095269","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4372259820.pdf","grobid_xml":"https://content.openalex.org/works/W4372259820.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1970830346","https://openalex.org/W2117238355","https://openalex.org/W2120796660","https://openalex.org/W2149479912","https://openalex.org/W2294586855","https://openalex.org/W2955133642","https://openalex.org/W2963190258","https://openalex.org/W2996611387","https://openalex.org/W3005476696","https://openalex.org/W3006762012","https://openalex.org/W3010384738","https://openalex.org/W3034281970","https://openalex.org/W3046938740","https://openalex.org/W3103493968","https://openalex.org/W3111067891","https://openalex.org/W3120117232","https://openalex.org/W3125035800","https://openalex.org/W3133971993","https://openalex.org/W3154292415","https://openalex.org/W3185482389","https://openalex.org/W3189202224","https://openalex.org/W4200630265","https://openalex.org/W4206817532","https://openalex.org/W4231183558","https://openalex.org/W4387667441","https://openalex.org/W6805150647","https://openalex.org/W6849939452"],"related_works":["https://openalex.org/W3141240674","https://openalex.org/W2167568384","https://openalex.org/W2116541631","https://openalex.org/W2514205366","https://openalex.org/W3173074004","https://openalex.org/W1976511355","https://openalex.org/W2544668827","https://openalex.org/W4313028534","https://openalex.org/W2082469387","https://openalex.org/W1985632843"],"abstract_inverted_index":{"Although":[0],"Intelligent":[1],"Reflective":[2],"Surfaces":[3],"(IRSs)":[4],"are":[5],"a":[6,22,37,111],"cost-effective":[7],"technology":[8],"promising":[9],"high":[10],"spectral":[11],"efficiency":[12],"in":[13,49,110],"future":[14],"wireless":[15],"networks,":[16],"obtaining":[17],"optimal":[18,70],"IRS":[19,33,72],"beamformers":[20,73],"is":[21],"challenging":[23],"problem":[24],"with":[25,75],"several":[26],"practical":[27],"limitations.":[28],"Assuming":[29],"fully-passive,":[30],"sensing-":[31],"free":[32],"operation,":[34],"we":[35],"introduce":[36],"new":[38],"data-driven":[39],"Zeroth-order":[40],"Stochastic":[41],"Gradient":[42],"Ascent":[43],"(ZoSGA)":[44],"algorithm":[45],"for":[46],"sumrate":[47],"optimization":[48],"an":[50],"IRS-aided":[51],"downlink":[52],"setting.":[53],"ZoSGA":[54,97],"does":[55],"not":[56],"require":[57],"access":[58],"to":[59],"channel":[60,84],"model":[61],"or":[62],"network":[63],"structure":[64],"information,":[65],"and":[66],"enables":[67],"learning":[68],"of":[69,113],"long-term":[71],"jointly":[74],"standard":[76,106],"short-term":[77],"precoding,":[78],"based":[79],"only":[80],"on":[81],"conventional":[82],"effective":[83],"state":[85],"information.":[86],"Supported":[87],"by":[88],"state-of-the-art":[89],"(SOTA)":[90],"convergence":[91],"analysis,":[92],"detailed":[93],"simulations":[94],"confirm":[95],"that":[96],"exhibits":[98],"SOTA":[99],"empirical":[100],"behavior":[101],"as":[102],"well,":[103],"consistently":[104],"outperforming":[105],"fully":[107],"model-based":[108],"baselines,":[109],"variety":[112],"scenarios.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
