{"id":"https://openalex.org/W4226057687","doi":"https://doi.org/10.1109/twc.2022.3165588","title":"Robust Online CSI Estimation in a Complex Environment","display_name":"Robust Online CSI Estimation in a Complex Environment","publication_year":2022,"publication_date":"2022-04-14","ids":{"openalex":"https://openalex.org/W4226057687","doi":"https://doi.org/10.1109/twc.2022.3165588"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2022.3165588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2022.3165588","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Transactions on Wireless 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/A5079117725","display_name":"Heng Du","orcid":"https://orcid.org/0000-0002-8791-6366"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Du","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-8791-6366","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028875725","display_name":"Yun Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Deng","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040282710","display_name":"Jiang Xue","orcid":"https://orcid.org/0000-0002-1832-5263"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Xue","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China","Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1832-5263","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091017287","display_name":"Deyu Meng","orcid":"https://orcid.org/0000-0002-1294-8283"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Meng","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China","Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1294-8283","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078092645","display_name":"Qian Zhao","orcid":"https://orcid.org/0000-0001-9956-0064"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhao","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109280540","display_name":"Zongben Xu","orcid":"https://orcid.org/0000-0002-4066-2338"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongben Xu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiao-tong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8873,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.94347156,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"21","issue":"10","first_page":"8322","last_page":"8336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998000264167786,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998000264167786,"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":0.9994000196456909,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.8316702842712402},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5954066514968872},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5133777856826782},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5001342296600342},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44782036542892456},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.41516003012657166},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.414652556180954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.363412082195282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34707343578338623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2933432161808014},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.27055683732032776},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1496744155883789},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10698306560516357},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09173747897148132},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08360189199447632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8316702842712402},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5954066514968872},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5133777856826782},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5001342296600342},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44782036542892456},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.41516003012657166},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.414652556180954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.363412082195282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34707343578338623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2933432161808014},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27055683732032776},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1496744155883789},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10698306560516357},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09173747897148132},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08360189199447632},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2022.3165588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2022.3165588","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1769842585","display_name":null,"funder_award_id":"2020YFA0713900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5230869291","display_name":null,"funder_award_id":"061/2020/A2","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320323893","display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","ror":"https://ror.org/05vna4324"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1482654240","https://openalex.org/W1554438505","https://openalex.org/W1662669438","https://openalex.org/W1926244710","https://openalex.org/W1971435976","https://openalex.org/W1973454958","https://openalex.org/W2016999686","https://openalex.org/W2050726943","https://openalex.org/W2060848869","https://openalex.org/W2062333343","https://openalex.org/W2103034511","https://openalex.org/W2117208976","https://openalex.org/W2118059716","https://openalex.org/W2133498779","https://openalex.org/W2138020668","https://openalex.org/W2138507544","https://openalex.org/W2139603658","https://openalex.org/W2141682101","https://openalex.org/W2149678679","https://openalex.org/W2153018680","https://openalex.org/W2154537715","https://openalex.org/W2160837607","https://openalex.org/W2162635057","https://openalex.org/W2169385070","https://openalex.org/W2336775896","https://openalex.org/W2344717976","https://openalex.org/W2492899067","https://openalex.org/W2517697330","https://openalex.org/W2618422320","https://openalex.org/W2960563976","https://openalex.org/W2963290405","https://openalex.org/W2963382561","https://openalex.org/W3015360882","https://openalex.org/W3045955689","https://openalex.org/W3168950276"],"related_works":["https://openalex.org/W1514609475","https://openalex.org/W2947806671","https://openalex.org/W1976188970","https://openalex.org/W4252706329","https://openalex.org/W2014532259","https://openalex.org/W2889559465","https://openalex.org/W2990541822","https://openalex.org/W1964091180","https://openalex.org/W2371827284","https://openalex.org/W2124552227"],"abstract_inverted_index":{"Channel":[0],"state":[1],"information":[2],"(CSI)":[3],"estimation":[4,88,129,137,169],"is":[5,65],"one":[6,99],"of":[7,15,40,71,76,100,107,121,221,227],"the":[8,13,20,38,50,54,101,105,108,118,125,172,176,181,203,215,219,222,228],"key":[9],"techniques":[10],"for":[11,32,142,202],"improving":[12],"performance":[14],"wireless":[16,23],"communication":[17,24,159],"systems.":[18],"Meanwhile,":[19],"fifth":[21],"generation":[22],"systems":[25],"require":[26],"higher":[27],"accuracy":[28,51,173],"and":[29,43,52,62,91,132,144,166,174,193,231],"lower":[30],"latency":[31,177,230],"CSI":[33,87,128,136,146,168],"estimation.":[34],"In":[35,179],"this":[36],"paper,":[37],"methods":[39,224],"noise":[41,58,61],"modeling":[42],"online":[44,126,133,165,195],"learning":[45,209],"are":[46,96,140,200],"combined":[47],"to":[48,81,156,170],"improve":[49,171],"reduce":[53,175],"latency.":[55],"The":[56,85,149],"complex":[57,158],"environment":[59],"(considering":[60],"interference":[63],"together)":[64],"modeled":[66],"as":[67,98,187],"a":[68,190,206],"specific":[69],"mixture":[70],"Gaussian":[72],"(MoG)":[73],"distribution":[74],"because":[75],"its":[77],"widely":[78],"approximation":[79],"capability":[80],"any":[82],"continuous":[83],"distribution.":[84],"MoG":[86,127,134],"(MoG-CE)":[89],"model":[90,109,131,139],"expectation":[92,196],"maximization":[93,197],"(EM)":[94],"algorithm":[95],"introduced":[97],"baseline":[102,213],"methods.":[103],"Further,":[104],"parameters":[106],"can":[110,152,184],"be":[111,185],"updated":[112],"in":[113,205,225],"real":[114],"time":[115],"based":[116],"on":[117],"prior":[119],"knowledge":[120],"historical":[122],"information.":[123],"Therefore,":[124],"(O-MoG-CE)":[130],"dynamic":[135,167],"(O-MoG-D-CE)":[138],"proposed":[141,182,223],"time-invariant":[143],"time-varying":[145],"estimations,":[147],"respectively.":[148],"above":[150],"models":[151,183],"not":[153],"only":[154],"self-adapt":[155],"various":[157],"scenarios":[160],"robustly":[161],"but":[162],"also":[163],"achieve":[164],"significantly.":[178],"addition,":[180],"formulated":[186],"standard":[188],"maximum":[189],"posteriori":[191],"estimations":[192,204],"efficient":[194],"(OEM)":[198],"algorithms":[199],"applied":[201],"pure":[207],"machine":[208],"fashion.":[210],"Comparing":[211],"with":[212],"methods,":[214],"simulation":[216],"results":[217],"demonstrate":[218],"superiority":[220],"terms":[226],"accuracy,":[229],"computation":[232],"consumption.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
