{"id":"https://openalex.org/W7130726331","doi":"https://doi.org/10.1109/tcomm.2026.3666613","title":"Robust Near-Field XL-MIMO Channel Estimation via Dual-Stage Optimization and Residual Refinement","display_name":"Robust Near-Field XL-MIMO Channel Estimation via Dual-Stage Optimization and Residual Refinement","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7130726331","doi":"https://doi.org/10.1109/tcomm.2026.3666613"},"language":null,"primary_location":{"id":"doi:10.1109/tcomm.2026.3666613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2026.3666613","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"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 Transactions on Communications","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/A5126478564","display_name":"Pengju Wang","orcid":null},"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":true,"raw_author_name":"Pengju Wang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"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":"https://openalex.org/A5126506780","display_name":"Xianfu Lei","orcid":null},"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"],"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":"https://openalex.org/A5027702079","display_name":"Mingjiang Wu","orcid":"https://orcid.org/0000-0002-5926-0187"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjiang Wu","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122845894","display_name":"Lisheng Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisheng Fan","raw_affiliation_strings":["Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5126478564"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42583093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"6167","last_page":"6181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.4934999942779541,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.4934999942779541,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.1386999934911728,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.066600002348423,"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/interpretability","display_name":"Interpretability","score":0.6919000148773193},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5343999862670898},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5252000093460083},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5073999762535095},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4772999882698059},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.39719998836517334},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.38670000433921814},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.3849000036716461},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.37279999256134033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7669000029563904},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6919000148773193},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5343999862670898},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5252000093460083},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4772999882698059},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.39719998836517334},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3849000036716461},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3628999888896942},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.29510000348091125},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2831999957561493},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2565999925136566},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.25279998779296875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2026.3666613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2026.3666613","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"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 Transactions on Communications","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/G3188394848","display_name":null,"funder_award_id":"2026NSFSC0400","funder_id":"https://openalex.org/F4320336756","funder_display_name":"Tianjin Science and Technology Program"},{"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"},{"id":"https://openalex.org/F4320336756","display_name":"Tianjin Science and Technology Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Extremely":[0],"large-scale":[1],"multiple-input":[2],"multiple-output":[3],"(XL-MIMO)":[4],"significantly":[5],"enhances":[6],"wireless":[7],"communication":[8],"capability,":[9],"yet":[10],"the":[11,23,95,155,195],"inherent":[12],"strong":[13],"near-field":[14,39,65,212],"effects":[15],"incur":[16],"prohibitive":[17],"pilot":[18],"overhead":[19],"and":[20,37,49,75,97,105,117,144,160,208],"severely":[21],"constrain":[22],"exploitable":[24],"sparsity":[25],"for":[26,158,211],"channel":[27,66,119,214],"estimation.":[28,215],"Conventional":[29],"far-field":[30],"estimators":[31],"become":[32],"inadequate":[33],"in":[34,101],"this":[35,60],"regime,":[36],"existing":[38],"techniques":[40],"usually":[41],"suffer":[42],"from":[43],"basis":[44],"mismatch,":[45],"high":[46],"computational":[47],"complexity,":[48],"limited":[50],"adaptability":[51],"to":[52,149,173],"complex":[53],"propagation":[54],"behaviors.":[55],"To":[56,121],"overcome":[57],"these":[58],"challenges,":[59],"paper":[61],"proposes":[62],"a":[63,81,102,126,135,145,164,180],"robust":[64,209],"estimation":[67],"framework":[68,197],"that":[69,194],"integrates":[70],"model-driven":[71],"inference,":[72],"data-driven":[73],"refinement,":[74],"adaptive":[76],"learning.":[77],"First,":[78],"we":[79],"develop":[80],"dual-stage":[82],"optimization":[83,108],"network":[84,130,167],"(DONet)":[85],"based":[86],"on":[87],"approximate":[88],"message":[89],"passing":[90],"(AMP).":[91],"By":[92],"jointly":[93],"learning":[94],"sensing":[96],"sparse":[98],"transform":[99],"matrices":[100],"gridless":[103],"manner":[104],"performing":[106],"hierarchical-global":[107],"of":[109],"inference":[110],"parameters,":[111],"DONet":[112,156],"achieves":[113,198],"enhanced":[114],"representational":[115],"capability":[116],"high-fidelity":[118],"reconstruction.":[120],"further":[122],"suppress":[123],"unmodeled":[124],"residuals,":[125],"lightweight":[127],"residual":[128],"refinement":[129],"(RRNet)":[131],"is":[132,171],"designed":[133],"as":[134],"plug-and-play":[136],"correction":[137],"module.":[138],"RRNet":[139],"leverages":[140],"learnable":[141],"linear":[142],"projections":[143],"residual-enhanced":[146],"multilayer":[147],"perceptron":[148],"capture":[150],"nonlinear":[151],"deviations":[152],"while":[153],"preserving":[154],"backbone":[157],"interpretability":[159],"stable":[161],"convergence.":[162],"Finally,":[163],"transfer":[165],"learning-aided":[166],"adaptation":[168,186],"(TLNA)":[169],"strategy":[170],"introduced":[172],"improve":[174],"reliability":[175],"under":[176],"dynamic":[177],"environments":[178],"via":[179],"pretraining-fine-tuning":[181],"mechanism,":[182],"enabling":[183],"fast":[184],"domain":[185],"with":[187],"minimal":[188],"retraining":[189],"cost.":[190],"Simulation":[191],"results":[192],"demonstrate":[193],"proposed":[196],"substantial":[199],"performance":[200],"gains":[201],"over":[202],"representative":[203],"baselines,":[204],"offering":[205],"an":[206],"efficient":[207],"solution":[210],"XL-MIMO":[213]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-02-21T00:00:00"}
