{"id":"https://openalex.org/W4317350141","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10013010","title":"Hybrid-Field Channel Estimation for Massive MIMO Systems based on OMP Cascaded Convolutional Autoencoder","display_name":"Hybrid-Field Channel Estimation for Massive MIMO Systems based on OMP Cascaded Convolutional Autoencoder","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4317350141","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10013010"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-fall57202.2022.10013010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-fall57202.2022.10013010","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060200669","display_name":"Hasan Nay\u0131r","orcid":null},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Hasan Nayir","raw_affiliation_strings":["Texas A&M University at Qatar,Department of Electrical and Computer Engineering,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University at Qatar,Department of Electrical and Computer Engineering,Doha,Qatar","institution_ids":["https://openalex.org/I58152225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042553583","display_name":"Erhan Karakoca","orcid":"https://orcid.org/0000-0002-2613-2605"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Erhan Karakoca","raw_affiliation_strings":["Texas A&M University at Qatar,Department of Electrical and Computer Engineering,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University at Qatar,Department of Electrical and Computer Engineering,Doha,Qatar","institution_ids":["https://openalex.org/I58152225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070377724","display_name":"Ali G\u00f6r\u00e7in","orcid":"https://orcid.org/0000-0003-4981-0488"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Gorcin","raw_affiliation_strings":["TÜBİTAK BİLGEM,Communications and Signal Processing Research (HİSAR) Lab.,Kocaeli,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TÜBİTAK BİLGEM,Communications and Signal Processing Research (HİSAR) Lab.,Kocaeli,Turkey","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009224411","display_name":"Khalid Qaraqe","orcid":"https://orcid.org/0000-0002-0766-9212"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Khalid Qaraqe","raw_affiliation_strings":["Texas A&M University at Qatar,Department of Electrical and Computer Engineering,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University at Qatar,Department of Electrical and Computer Engineering,Doha,Qatar","institution_ids":["https://openalex.org/I58152225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9976999759674072,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9973999857902527,"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/matching-pursuit","display_name":"Matching pursuit","score":0.7145825624465942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6886563301086426},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6507100462913513},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6330485343933105},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5937905311584473},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5260698199272156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5244522094726562},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4714076519012451},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.43566256761550903},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3392745852470398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24971804022789001},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.17843464016914368},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1418062448501587},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.1302489936351776}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.7145825624465942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886563301086426},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6507100462913513},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6330485343933105},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5937905311584473},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5260698199272156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5244522094726562},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4714076519012451},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.43566256761550903},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3392745852470398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24971804022789001},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.17843464016914368},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1418062448501587},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.1302489936351776},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-fall57202.2022.10013010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-fall57202.2022.10013010","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309815","display_name":"Qatar Foundation","ror":"https://ror.org/01cawbq05"},{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W1520888585","https://openalex.org/W2509358755","https://openalex.org/W2619204584","https://openalex.org/W2724191955","https://openalex.org/W2808128011","https://openalex.org/W2936900179","https://openalex.org/W2945858715","https://openalex.org/W2964307770","https://openalex.org/W3002159761","https://openalex.org/W3081258430","https://openalex.org/W3185863076","https://openalex.org/W3208187232","https://openalex.org/W4221155759","https://openalex.org/W4226370247","https://openalex.org/W4312865580","https://openalex.org/W4315630113","https://openalex.org/W4360584453","https://openalex.org/W6774773516","https://openalex.org/W6810158707"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2073241848","https://openalex.org/W2042644197","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338"],"abstract_inverted_index":{"Frequency":[0],"scarcity":[1],"implies":[2],"the":[3,19,23,46,63,73,76,146,158],"utilization":[4],"of":[5,25,78,97],"higher":[6],"frequencies":[7,84],"for":[8,60,138],"wireless":[9],"communications;":[10],"however,":[11],"spreading":[12],"loss":[13],"becomes":[14],"a":[15,98,118],"dominating":[16],"issue":[17],"as":[18],"frequency":[20],"increases":[21,85],"to":[22,41,51,108,157],"level":[24],"and":[26,91,106,130],"beyond":[27],"millimeter":[28],"waves.":[29],"To":[30],"this":[31,116],"end,":[32],"massive":[33,79],"multiple-input":[34],"multiple-output":[35],"structures":[36],"introduce":[37],"mitigation":[38],"alternatives.":[39],"However,":[40],"make":[42],"these":[43],"solutions":[44],"possible,":[45],"channel":[47,66,111,120,140],"estimation":[48,100,112,121],"approach":[49],"strives":[50],"be":[52,104],"modified:":[53],"since":[54],"Rayleigh":[55,86],"distance":[56],"is":[57,67,124,136],"very":[58],"short":[59],"conventional":[61,159],"systems,":[62],"only":[64],"far-field":[65,92],"examined":[68],"in":[69,82,115],"that":[70,145],"context.":[71],"On":[72],"other":[74],"hand,":[75],"implementation":[77],"antenna":[80],"arrays":[81],"high":[83],"distance;":[87],"thus,":[88],"both":[89],"near-field":[90],"analyses":[93],"become":[94],"necessary.":[95],"Instead":[96],"dual":[99],"process,":[101],"it":[102],"would":[103],"effective":[105],"efficient":[107],"develop":[109],"hybrid-field":[110],"techniques.":[113],"Therefore,":[114],"study,":[117],"new":[119],"method":[122,149],"which":[123],"based":[125],"on":[126],"convolutional":[127],"autoencoder":[128],"(CAE)":[129],"orthogonal":[131],"matching":[132],"pursuit":[133],"(OMP)":[134],"approach,":[135],"proposed":[137,147],"hybrid":[139],"estimation.":[141],"The":[142],"results":[143],"indicate":[144],"OMP-CAE":[148],"has":[150],"much":[151],"better":[152],"error":[153],"performance":[154],"when":[155],"compared":[156],"OMP":[160],"algorithm,":[161],"especially":[162],"at":[163],"low":[164],"signal-to-noise":[165],"ratio":[166],"regimes.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}