{"id":"https://openalex.org/W7084905415","doi":"https://doi.org/10.1109/lwc.2025.3618697","title":"Enhancing XL-MIMO Hybrid-Field Channel Estimation With Modular Staged Dictionary Learning","display_name":"Enhancing XL-MIMO Hybrid-Field Channel Estimation With Modular Staged Dictionary Learning","publication_year":2025,"publication_date":"2025-10-07","ids":{"openalex":"https://openalex.org/W7084905415","doi":"https://doi.org/10.1109/lwc.2025.3618697"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2025.3618697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2025.3618697","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":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pengju Wang","orcid":"https://orcid.org/0000-0002-5388-8977"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengju Wang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5388-8977","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xianfu Lei","orcid":"https://orcid.org/0000-0001-5229-458X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfu Lei","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5229-458X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiangjun Ma","orcid":"https://orcid.org/0000-0002-6104-4563"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Xiangjun Ma","raw_affiliation_strings":["Interdisciplinary Research Center for Communication Systems and Sensing, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-6104-4563","affiliations":[{"raw_affiliation_string":"Interdisciplinary Research Center for Communication Systems and Sensing, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xingwang Li","orcid":"https://orcid.org/0000-0002-0907-6517"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwang Li","raw_affiliation_strings":["School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":"https://orcid.org/0000-0002-0907-6517","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaohu Tang","orcid":"https://orcid.org/0000-0002-7938-7812"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Tang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7938-7812","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":0.66640117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"315","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11060","display_name":"Infant Development and Preterm Care","score":0.5339000225067139,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11060","display_name":"Infant Development and Preterm Care","score":0.5339000225067139,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10979","display_name":"Breastfeeding Practices and Influences","score":0.09989999979734421,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":0.06960000097751617,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6895999908447266},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6861000061035156},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.608299970626831},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5468000173568726},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5285999774932861},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5146999955177307},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5045999884605408},{"id":"https://openalex.org/keywords/modular-neural-network","display_name":"Modular neural network","score":0.4514999985694885},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.43720000982284546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8623999953269958},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6895999908447266},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6861000061035156},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.608299970626831},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5468000173568726},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5285999774932861},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5146999955177307},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5045999884605408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4722999930381775},{"id":"https://openalex.org/C2781121602","wikidata":"https://www.wikidata.org/wiki/Q3504403","display_name":"Modular neural network","level":4,"score":0.4514999985694885},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.44699999690055847},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.43720000982284546},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3944999873638153},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29739999771118164},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.28519999980926514},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.2791000008583069},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.27709999680519104},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2669000029563904},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2025.3618697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2025.3618697","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1915117199","display_name":null,"funder_award_id":"62271420","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G514600894","display_name":null,"funder_award_id":"U23A20273","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2339667469","https://openalex.org/W2963206527","https://openalex.org/W3208187232","https://openalex.org/W4226370247","https://openalex.org/W4365790499","https://openalex.org/W4379382365","https://openalex.org/W4385885073","https://openalex.org/W4390496060","https://openalex.org/W4399282468"],"related_works":[],"abstract_inverted_index":{"Extremely":[0],"large-scale":[1],"multiple-input":[2],"multiple-output":[3],"(XL-MIMO)":[4],"is":[5],"a":[6,55,86,108,117],"promising":[7],"key":[8],"technology":[9],"for":[10,39],"6G,":[11],"offering":[12],"significant":[13],"performance":[14],"improvements.":[15],"However,":[16],"the":[17,73,78,101,104,124,140,143],"deployment":[18],"of":[19,95,148],"ultra-large":[20],"antenna":[21],"arrays":[22],"introduces":[23],"hybrid-field":[24,61,133],"channel":[25,40,134],"characteristics,":[26],"where":[27],"far-field":[28],"(FF)":[29],"and":[30,46,76,80,93,97,115,126,151],"near-field":[31],"(NF)":[32],"components":[33],"coexist.":[34],"This":[35],"creates":[36],"major":[37],"challenges":[38],"estimation,":[41],"including":[42],"high":[43],"pilot":[44],"overhead":[45],"increased":[47],"complexity.":[48],"To":[49],"address":[50],"these":[51],"issues,":[52],"we":[53],"propose":[54],"modular":[56],"staged":[57],"dictionary":[58],"learning":[59],"enhanced":[60],"approximate":[62],"message":[63],"passing":[64],"(MSDL-HF-AMP)":[65],"scheme.":[66],"The":[67],"proposed":[68],"method":[69],"uses":[70],"HF-AMP":[71,114],"as":[72],"core":[74],"framework":[75],"connects":[77],"FF-AMP":[79],"NF-AMP":[81],"modules":[82],"in":[83,146],"sequence":[84],"through":[85],"residual":[87],"transfer":[88],"mechanism,":[89],"enabling":[90],"adaptive":[91],"separation":[92],"estimation":[94,149],"FF":[96],"NF":[98],"components.":[99],"At":[100],"same":[102],"time,":[103],"MSDL":[105],"strategy":[106],"builds":[107],"deep":[109],"neural":[110],"network":[111],"based":[112],"on":[113],"employs":[116],"three-stage":[118],"training":[119],"process":[120],"to":[121,132],"gradually":[122],"optimize":[123],"angular-domain":[125],"polar-domain":[127],"sparse":[128],"dictionaries,":[129],"effectively":[130],"adapting":[131],"characteristics.":[135],"Simulation":[136],"results":[137],"show":[138],"that":[139],"scheme":[141],"outperforms":[142],"existing":[144],"schemes":[145],"terms":[147],"accuracy":[150],"robustness.":[152]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
