{"id":"https://openalex.org/W4320713354","doi":"https://doi.org/10.1109/lcomm.2023.3245084","title":"Near-Field Channel Estimation for Extremely Large-Scale Array Communications: A Model-Based Deep Learning Approach","display_name":"Near-Field Channel Estimation for Extremely Large-Scale Array Communications: A Model-Based Deep Learning Approach","publication_year":2023,"publication_date":"2023-02-14","ids":{"openalex":"https://openalex.org/W4320713354","doi":"https://doi.org/10.1109/lcomm.2023.3245084"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2023.3245084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2023.3245084","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-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/A5058416717","display_name":"Xiangyu Zhang","orcid":"https://orcid.org/0000-0003-1297-6951"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhang","raw_affiliation_strings":["School of Information Science and Engineering and the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Pervasive Communications Center, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1297-6951","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering and the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Pervasive Communications Center, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071430184","display_name":"Zening Wang","orcid":"https://orcid.org/0009-0003-3246-3931"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zening Wang","raw_affiliation_strings":["AsiaInfo Technologies Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325587","display_name":"Haiyang Zhang","orcid":"https://orcid.org/0000-0002-9136-0735"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Zhang","raw_affiliation_strings":["School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9136-0735","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045457613","display_name":"L\u00fcxi Yang","orcid":"https://orcid.org/0000-0003-1474-1806"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luxi Yang","raw_affiliation_strings":["School of Information Science and Engineering and the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Pervasive Communications Center, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1474-1806","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering and the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Pervasive Communications Center, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.5236,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.98687352,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"27","issue":"4","first_page":"1155","last_page":"1159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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":0.9993000030517578,"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":0.9988999962806702,"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/mimo","display_name":"MIMO","score":0.7523528337478638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7464024424552917},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7125284075737},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5923668146133423},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5853032469749451},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5849848985671997},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5506116151809692},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5442410707473755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425286293029785},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.46426132321357727},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.44545626640319824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3649015426635742},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35403451323509216},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19461596012115479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12536045908927917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11614063382148743},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06429368257522583}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7523528337478638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464024424552917},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7125284075737},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5923668146133423},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5853032469749451},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5849848985671997},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5506116151809692},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5442410707473755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425286293029785},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.46426132321357727},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.44545626640319824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3649015426635742},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35403451323509216},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19461596012115479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12536045908927917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11614063382148743},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06429368257522583},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2023.3245084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2023.3245084","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5528252965","display_name":null,"funder_award_id":"Grants U1936201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8475670238","display_name":"\u6df1\u5ea6\u5b66\u4e60\u8f85\u52a9\u7684\u667a\u80fd\u65e0\u7ebf\u901a\u4fe1\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W2013785632","https://openalex.org/W2103472722","https://openalex.org/W2111953900","https://openalex.org/W2118103795","https://openalex.org/W2136398689","https://openalex.org/W2339667469","https://openalex.org/W2889134685","https://openalex.org/W2963673880","https://openalex.org/W2997786076","https://openalex.org/W3164550829","https://openalex.org/W3193637561","https://openalex.org/W3213225772","https://openalex.org/W4226370247","https://openalex.org/W4300263211","https://openalex.org/W6677645113","https://openalex.org/W6754103055"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2378211422","https://openalex.org/W2750730210","https://openalex.org/W2116854923","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W2158224665","https://openalex.org/W2730764323"],"abstract_inverted_index":{"Extremely":[0],"large-scale":[1],"massive":[2],"MIMO":[3],"(XL-MIMO)":[4],"has":[5],"been":[6],"reviewed":[7],"as":[8,66,133],"a":[9,67,111,121,134],"promising":[10],"technology":[11],"for":[12,46],"future":[13],"wireless":[14,50],"communications.":[15,54],"The":[16,145],"deployment":[17],"of":[18,34,52],"XL-MIMO,":[19],"especially":[20],"at":[21],"high-frequency":[22],"bands,":[23],"leads":[24],"to":[25,94],"users":[26],"being":[27],"located":[28],"in":[29,105],"the":[30,35,48,60,72,80,85,95,98,130],"near-field":[31,49,62,96],"region":[32],"instead":[33],"conventional":[36],"far-field.":[37],"This":[38],"letter":[39],"proposes":[40],"efficient":[41],"model-based":[42],"deep":[43],"learning":[44],"algorithms":[45,152],"estimating":[47],"channel":[51,63,107],"XL-MIMO":[53,61],"In":[55],"particular,":[56],"we":[57,119],"first":[58],"formulate":[59],"estimation":[64,108],"task":[65],"compressed":[68],"sensing":[69],"problem":[70,82],"using":[71],"spatial":[73,99],"gridding-based":[74,100],"sparsifying":[75,101,123,131],"dictionary":[76,102,124,132],"and":[77,89,110,138,157],"then":[78],"solve":[79],"resulting":[81],"by":[83],"applying":[84],"Learning":[86],"Iterative":[87],"Shrinkage":[88],"Thresholding":[90],"Algorithm":[91],"(LISTA).":[92],"Due":[93],"characteristic,":[97],"may":[103],"result":[104],"low":[106],"accuracy":[109],"heavy":[112],"computational":[113],"burden.":[114],"To":[115],"address":[116],"this":[117],"issue,":[118],"propose":[120],"novel":[122],"learning-LISTA":[125],"(SDL-LISTA)":[126],"algorithm":[127],"that":[128,149],"formulates":[129],"neural":[135,143],"network":[136],"layer":[137],"embeds":[139],"it":[140],"into":[141],"LISTA":[142,163],"network.":[144],"numerical":[146],"results":[147],"show":[148],"our":[150],"proposed":[151],"outperform":[153],"non-learning":[154],"benchmark":[155],"schemes,":[156],"SDL-LISTA":[158],"achieves":[159],"better":[160],"performance":[161],"than":[162],"with":[164],"ten":[165],"times":[166],"atoms":[167],"reduction.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}