{"id":"https://openalex.org/W4384517613","doi":"https://doi.org/10.1109/mocast57943.2023.10177031","title":"3D Adaptive Beamforming Approach with a Fine-Tuned Deep Neural Network","display_name":"3D Adaptive Beamforming Approach with a Fine-Tuned Deep Neural Network","publication_year":2023,"publication_date":"2023-06-28","ids":{"openalex":"https://openalex.org/W4384517613","doi":"https://doi.org/10.1109/mocast57943.2023.10177031"},"language":"en","primary_location":{"id":"doi:10.1109/mocast57943.2023.10177031","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mocast57943.2023.10177031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/MOCAST57943.2023.10177031","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016504867","display_name":"Ioannis Mallioras","orcid":"https://orcid.org/0000-0003-1015-2537"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Mallioras","raw_affiliation_strings":["Aristotle University of Thessaloniki,School of Electrical and Computer Eng.,Thessaloniki,Greece","Maggioli SpA, Santarcangelo Di Romagna, Italy","School of Electrical and Computer Eng., Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,School of Electrical and Computer Eng.,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Maggioli SpA, Santarcangelo Di Romagna, Italy","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Computer Eng., Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022189295","display_name":"Traianos V. Yioultsis","orcid":"https://orcid.org/0000-0002-6712-8936"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Traianos V. Yioultsis","raw_affiliation_strings":["Aristotle University of Thessaloniki,School of Electrical and Computer Eng.,Thessaloniki,Greece","School of Electrical and Computer Eng., Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,School of Electrical and Computer Eng.,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"School of Electrical and Computer Eng., Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064200333","display_name":"Nikolaos V. Kantartzis","orcid":"https://orcid.org/0000-0003-0959-7838"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos V. Kantartzis","raw_affiliation_strings":["Aristotle University of Thessaloniki,School of Electrical and Computer Eng.,Thessaloniki,Greece","School of Electrical and Computer Eng., Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,School of Electrical and Computer Eng.,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"School of Electrical and Computer Eng., Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074353965","display_name":"Pavlos I. Lazaridis","orcid":"https://orcid.org/0000-0001-5091-2567"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pavlos I. Lazaridis","raw_affiliation_strings":["University of Huddersfield,School of Computing and Eng.,Huddersfield,U.K","School of Computing and Eng., University of Huddersfield, Huddersfield, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Huddersfield,School of Computing and Eng.,Huddersfield,U.K","institution_ids":["https://openalex.org/I133837150"]},{"raw_affiliation_string":"School of Computing and Eng., University of Huddersfield, Huddersfield, U.K","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009244011","display_name":"Zaharias D. Zaharis","orcid":"https://orcid.org/0000-0002-4548-282X"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Zaharias D. Zaharis","raw_affiliation_strings":["Aristotle University of Thessaloniki,School of Electrical and Computer Eng.,Thessaloniki,Greece","School of Electrical and Computer Eng., Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,School of Electrical and Computer Eng.,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"School of Electrical and Computer Eng., Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13015352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9983000159263611,"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":0.9983000159263611,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.996999979019165,"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/T10860","display_name":"Speech and Audio Processing","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.806915283203125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7522820234298706},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.7300059199333191},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6000093817710876},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.555612325668335},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.48341476917266846},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4718380272388458},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45610716938972473},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43886858224868774},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.42961421608924866},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4287831783294678},{"id":"https://openalex.org/keywords/planar-array","display_name":"Planar array","score":0.4284914433956146},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4210375249385834},{"id":"https://openalex.org/keywords/antenna-array","display_name":"Antenna array","score":0.4134475588798523},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.3864545226097107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3548307418823242},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.18711963295936584},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15683090686798096},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13387787342071533},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.07885128259658813}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.806915283203125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522820234298706},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.7300059199333191},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6000093817710876},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.555612325668335},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.48341476917266846},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4718380272388458},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45610716938972473},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43886858224868774},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.42961421608924866},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4287831783294678},{"id":"https://openalex.org/C2775980084","wikidata":"https://www.wikidata.org/wiki/Q4771249","display_name":"Planar array","level":2,"score":0.4284914433956146},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4210375249385834},{"id":"https://openalex.org/C62191587","wikidata":"https://www.wikidata.org/wiki/Q4771249","display_name":"Antenna array","level":3,"score":0.4134475588798523},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.3864545226097107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3548307418823242},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.18711963295936584},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15683090686798096},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13387787342071533},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.07885128259658813},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mocast57943.2023.10177031","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mocast57943.2023.10177031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/f3b037b0-aef4-4293-a774-2a58076bede6","is_oa":false,"landing_page_url":"https://pure.hud.ac.uk/en/publications/f3b037b0-aef4-4293-a774-2a58076bede6","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mallioras, I, Yioultsis, T V, Kantartzis, N V, Lazaridis, P I & Zaharis, Z D 2023, 3D Adaptive Beamforming Approach with a Fine-Tuned Deep Neural Network. in 2023 12th International Conference on Modern Circuits and Systems Technologies, MOCAST 2023 - Proceedings., 10177031, Institute of Electrical and Electronics Engineers Inc., 12th International Conference on Modern Circuits and Systems Technologies, Athens, Greece, 28/06/23. https://doi.org/10.1109/MOCAST57943.2023.10177031","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:zenodo.org:13998919","is_oa":true,"landing_page_url":"https://doi.org/10.1109/MOCAST57943.2023.10177031","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:13998919","is_oa":true,"landing_page_url":"https://doi.org/10.1109/MOCAST57943.2023.10177031","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1989698843","https://openalex.org/W2056463745","https://openalex.org/W2155838310","https://openalex.org/W2963408914","https://openalex.org/W2982640455","https://openalex.org/W3036771670","https://openalex.org/W3145575031","https://openalex.org/W3159852908","https://openalex.org/W3211742690","https://openalex.org/W4214900208","https://openalex.org/W4289821648","https://openalex.org/W4297496104","https://openalex.org/W6682704966"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W2087915371","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456"],"abstract_inverted_index":{"Adaptive":[0],"beamforming":[1,22,83],"is":[2,113],"an":[3,49],"essential":[4],"smart":[5],"antenna":[6],"operation,":[7],"with":[8,120],"increasing":[9],"importance":[10],"for":[11],"beyond":[12],"5G":[13],"networks.":[14],"However,":[15],"the":[16,37,41,68,81,90,97,104,145],"increased":[17],"computational":[18],"complexity":[19],"of":[20,39,43,45,103,129,147],"deterministic":[21],"algorithms":[23],"highlights":[24],"their":[25],"inability":[26],"to":[27,29,54,88,115,122,127,143],"respond":[28],"future":[30],"demands.":[31],"In":[32,86],"this":[33],"paper":[34],"we":[35,72,94,138],"approach":[36],"problem":[38],"mapping":[40],"angles":[42],"arrival":[44],"incoming":[46],"signals":[47],"on":[48,75],"8x8":[50],"uniform":[51],"planar":[52],"array,":[53],"a":[55,63,76,132,140],"desired":[56],"complex":[57],"feeding":[58],"weight":[59],"vector.":[60],"We":[61],"investigate":[62],"well-known":[64],"deep":[65,105],"learning":[66],"model,":[67],"multi-layer":[69],"perceptron,":[70],"and":[71,99],"train":[73],"it":[74],"large":[77],"dataset":[78],"produced":[79],"by":[80],"null-steering":[82],"(NSB)":[84],"algorithm.":[85],"order":[87],"propose":[89],"most":[91],"efficient":[92],"design,":[93],"fine":[95],"tune":[96],"hyperparameters":[98],"each":[100,148],"individual":[101],"layer":[102],"feedforward":[106],"neural":[107],"network":[108],"architecture.":[109],"The":[110],"proposed":[111],"model":[112],"able":[114],"reach":[116],"excellent":[117],"beam-steering":[118],"accuracy,":[119],"signal":[121],"interference-plus-noise":[123],"ratio":[124],"levels":[125],"similar":[126],"that":[128],"NSB,":[130],"at":[131],"significantly":[133],"lower":[134],"response":[135],"time.":[136],"Finally,":[137],"provide":[139],"statistical":[141],"analysis":[142],"compare":[144],"performance":[146],"beamformer.":[149]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
