{"id":"https://openalex.org/W3003686880","doi":"https://doi.org/10.1109/lwc.2020.2993699","title":"Deep Channel Learning for Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems","display_name":"Deep Channel Learning for Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems","publication_year":2020,"publication_date":"2020-05-12","ids":{"openalex":"https://openalex.org/W3003686880","doi":"https://doi.org/10.1109/lwc.2020.2993699","mag":"3003686880"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2020.2993699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2020.2993699","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.11085","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ahmet M. Elbir","orcid":"https://orcid.org/0000-0003-4060-3781"},"institutions":[{"id":"https://openalex.org/I54001450","display_name":"D\u00fczce \u00dcniversitesi","ror":"https://ror.org/04175wc52","country_code":"TR","type":"education","lineage":["https://openalex.org/I54001450"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ahmet M. Elbir","raw_affiliation_strings":["Duzce University, Duzce, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-4060-3781","affiliations":[{"raw_affiliation_string":"Duzce University, Duzce, Turkey","institution_ids":["https://openalex.org/I54001450"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anastasios Papazafeiropoulos","orcid":"https://orcid.org/0000-0003-1841-6461"},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]},{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["GB","LU"],"is_corresponding":false,"raw_author_name":"Anastasios Papazafeiropoulos","raw_affiliation_strings":["CIS Research Group, University of Hertfordshire, Hatfield, U.K","SnT, University of Luxembourg, Luxembourg City, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0003-1841-6461","affiliations":[{"raw_affiliation_string":"CIS Research Group, University of Hertfordshire, Hatfield, U.K","institution_ids":["https://openalex.org/I141584323"]},{"raw_affiliation_string":"SnT, University of Luxembourg, Luxembourg City, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pandelis Kourtessis","orcid":"https://orcid.org/0000-0003-3392-670X"},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pandelis Kourtessis","raw_affiliation_strings":["CIS Research Group, University of Hertfordshire, Hatfield, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3392-670X","affiliations":[{"raw_affiliation_string":"CIS Research Group, University of Hertfordshire, Hatfield, U.K","institution_ids":["https://openalex.org/I141584323"]}]},{"author_position":"last","author":{"id":null,"display_name":"Symeon Chatzinotas","orcid":"https://orcid.org/0000-0001-5122-0001"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Symeon Chatzinotas","raw_affiliation_strings":["SnT, University of Luxembourg, Luxembourg City, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0001-5122-0001","affiliations":[{"raw_affiliation_string":"SnT, University of Luxembourg, Luxembourg City, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.9638,"has_fulltext":true,"cited_by_count":236,"citation_normalized_percentile":{"value":0.99262699,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"9","issue":"9","first_page":"1447","last_page":"1451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.43549999594688416,"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":0.43549999594688416,"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":0.1987999975681305,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.03999999910593033,"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/mimo","display_name":"MIMO","score":0.7664999961853027},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6389999985694885},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5796999931335449},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5216000080108643},{"id":"https://openalex.org/keywords/multi-user-mimo","display_name":"Multi-user MIMO","score":0.40790000557899475},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4059999883174896},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.3635999858379364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8037999868392944},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7664999961853027},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6389999985694885},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5796999931335449},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5216000080108643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4519999921321869},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4124000072479248},{"id":"https://openalex.org/C91330434","wikidata":"https://www.wikidata.org/wiki/Q738298","display_name":"Multi-user MIMO","level":4,"score":0.40790000557899475},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4059999883174896},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C165650700","wikidata":"https://www.wikidata.org/wiki/Q4636347","display_name":"3G MIMO","level":4,"score":0.35760000348091125},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3481000065803528},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.33340001106262207},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31619998812675476},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.30709999799728394},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2529999911785126}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/lwc.2020.2993699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2020.2993699","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","raw_type":"journal-article"},{"id":"pmh:oai:uhra.herts.ac.uk:2299/23250","is_oa":false,"landing_page_url":"http://hdl.handle.net/2299/23250","pdf_url":null,"source":{"id":"https://openalex.org/S4306400241","display_name":"University of Hertfordshire Research Archive (University of Hertfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141584323","host_organization_name":"University of Hertfordshire","host_organization_lineage":["https://openalex.org/I141584323"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:arXiv.org:2001.11085","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.11085","pdf_url":"https://arxiv.org/pdf/2001.11085","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:uhra.herts.ac.uk:2299/23259","is_oa":true,"landing_page_url":"http://hdl.handle.net/2299/23259","pdf_url":"https://uhra.herts.ac.uk/id/eprint/8314/1/Deep_Channel_Learning_For_Large_Intelligent_Surfaces_Aided_mm_Wave_Massive_MIMO_Systems.pdf","source":{"id":"https://openalex.org/S4306400241","display_name":"University of Hertfordshire Research Archive (University of Hertfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141584323","host_organization_name":"University of Hertfordshire","host_organization_lineage":["https://openalex.org/I141584323"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:acikerisim.duzce.edu.tr:20.500.12684/10703","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.12684/10703","pdf_url":null,"source":{"id":"https://openalex.org/S4377196355","display_name":"DSpace - D\u00fczce (Duzce University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I54001450","host_organization_name":"D\u00fczce \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I54001450"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:orbilu.uni.lu:10993/45463","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/45463","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"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":"IEEE Wireless Communications Letters, 9 (Sept. 2020), 1447-1451 (2020-05-11)","raw_type":"http://purl.org/coar/resource_type/c_6501"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.11085","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.11085","pdf_url":"https://arxiv.org/pdf/2001.11085","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2053521124","https://openalex.org/W2054692642","https://openalex.org/W2810871807","https://openalex.org/W2936900179","https://openalex.org/W2937693915","https://openalex.org/W2943928690","https://openalex.org/W2950077417","https://openalex.org/W2963689780","https://openalex.org/W2971912794","https://openalex.org/W2981792785","https://openalex.org/W2986348246","https://openalex.org/W2990747873","https://openalex.org/W2992096220","https://openalex.org/W6678646785","https://openalex.org/W6762113363","https://openalex.org/W6769491879","https://openalex.org/W6769781755","https://openalex.org/W6769922080","https://openalex.org/W6785550907"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4230611425","https://openalex.org/W2948658236","https://openalex.org/W2941846814","https://openalex.org/W3038019660","https://openalex.org/W3164822677","https://openalex.org/W3001768830","https://openalex.org/W3118091236"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"the":[3,40,60,70],"first":[4],"work":[5],"introducing":[6],"a":[7,52],"deep":[8],"learning":[9],"(DL)":[10],"framework":[11],"for":[12],"channel":[13],"estimation":[14],"in":[15],"large":[16],"intelligent":[17],"surface":[18],"(LIS)":[19],"assisted":[20],"massive":[21],"MIMO":[22],"(multiple-input":[23],"multiple-output)":[24],"systems.":[25],"A":[26],"twin":[27],"convolutional":[28],"neural":[29],"network":[30],"(CNN)":[31],"architecture":[32],"is":[33,37,74,86],"designed":[34],"and":[35,48,76,82],"it":[36],"fed":[38],"with":[39,78],"received":[41],"pilot":[42],"signals":[43],"to":[44,59,62],"estimate":[45,63],"both":[46],"direct":[47],"cascaded":[49],"channels.":[50],"In":[51],"multi-user":[53],"scenario,":[54],"each":[55],"user":[56],"has":[57],"access":[58],"CNN":[61],"its":[64,83],"own":[65],"channel.":[66],"The":[67],"performance":[68,85],"of":[69],"proposed":[71],"DL":[72],"approach":[73],"evaluated":[75],"compared":[77],"state-of-the-art":[79],"DL-based":[80],"techniques":[81],"superior":[84],"demonstrated.":[87]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":49},{"year":2023,"cited_by_count":48},{"year":2022,"cited_by_count":48},{"year":2021,"cited_by_count":42},{"year":2020,"cited_by_count":9}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2020-02-07T00:00:00"}
