{"id":"https://openalex.org/W4402834135","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683556","title":"Approaching the MMSE Bound of Channel Estimation by Machine Learning","display_name":"Approaching the MMSE Bound of Channel Estimation by Machine Learning","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4402834135","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683556"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-spring62846.2024.10683556","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013188167","display_name":"Federico Penna","orcid":null},"institutions":[{"id":"https://openalex.org/I100625452","display_name":"ON Semiconductor (United States)","ror":"https://ror.org/03nw6pt28","country_code":"US","type":"company","lineage":["https://openalex.org/I100625452"]},{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Federico Penna","raw_affiliation_strings":["Samsung Semiconductor, Inc., SoC Lab,San Diego,CA,USA,92121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Semiconductor, Inc., SoC Lab,San Diego,CA,USA,92121","institution_ids":["https://openalex.org/I100625452","https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102989056","display_name":"Hyukjoon Kwon","orcid":"https://orcid.org/0000-0002-2128-364X"},"institutions":[{"id":"https://openalex.org/I100625452","display_name":"ON Semiconductor (United States)","ror":"https://ror.org/03nw6pt28","country_code":"US","type":"company","lineage":["https://openalex.org/I100625452"]},{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyukjoon Kwon","raw_affiliation_strings":["Samsung Semiconductor, Inc., SoC Lab,San Diego,CA,USA,92121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Semiconductor, Inc., SoC Lab,San Diego,CA,USA,92121","institution_ids":["https://openalex.org/I100625452","https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100914009","display_name":"Dongwoon Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I100625452","display_name":"ON Semiconductor (United States)","ror":"https://ror.org/03nw6pt28","country_code":"US","type":"company","lineage":["https://openalex.org/I100625452"]},{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongwoon Bai","raw_affiliation_strings":["Samsung Semiconductor, Inc., SoC Lab,San Diego,CA,USA,92121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Semiconductor, Inc., SoC Lab,San Diego,CA,USA,92121","institution_ids":["https://openalex.org/I100625452","https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.21730507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.8528000116348267,"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":0.8528000116348267,"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":0.6394975185394287},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5449345111846924},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4962170720100403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40414226055145264},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39901232719421387},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22218585014343262},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14579400420188904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6394975185394287},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5449345111846924},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4962170720100403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40414226055145264},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39901232719421387},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22218585014343262},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14579400420188904},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-spring62846.2024.10683556","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2009171710","https://openalex.org/W2103699908","https://openalex.org/W2284688186","https://openalex.org/W2941806810","https://openalex.org/W2959557487","https://openalex.org/W2963836746","https://openalex.org/W2976103643","https://openalex.org/W2996956941","https://openalex.org/W3012019435","https://openalex.org/W3112949451","https://openalex.org/W4210555162","https://openalex.org/W4210791184"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0],"wireless":[1],"communication":[2],"systems":[3],"where":[4],"the":[5,26,48,54,66,109,116],"received":[6],"signal":[7],"model":[8],"is":[9],"linear":[10,16],"with":[11],"Gaussian-distributed":[12],"channel":[13,22],"and":[14,94,114],"noise,":[15],"minimum":[17],"mean":[18,32],"square":[19,33],"error":[20,34],"(LMMSE)":[21],"estimation":[23],"(CE)":[24],"achieves":[25],"best":[27],"performance":[28],"in":[29],"terms":[30],"of":[31,53,73,111],"(MSE).":[35],"However,":[36],"LMMSE":[37,67,78,105,118],"CE":[38,79,96,106],"relies":[39],"on":[40],"parameters":[41,74,113],"that":[42,100],"may":[43,75],"be":[44],"either":[45],"unavailable":[46],"at":[47],"receiver":[49],"(e.g.,":[50,65],"accurate":[51],"knowledge":[52],"power":[55],"delay":[56],"profile":[57],"(PDP))":[58],"or":[59],"too":[60],"complex":[61],"for":[62,92],"practical":[63],"implementation":[64],"filter":[68],"size).":[69],"A":[70],"suboptimal":[71,112],"choice":[72],"severely":[76],"degrade":[77],"performance.":[80,97,119],"Motivated":[81],"by":[82],"this":[83],"observation,":[84],"we":[85],"investigate":[86],"machine":[87],"learning":[88],"as":[89],"a":[90],"tool":[91],"refining":[93],"improving":[95],"We":[98],"show":[99],"our":[101],"proposed":[102],"low-complexity":[103],"learning-aided":[104],"can":[107],"overcome":[108],"impact":[110],"approach":[115],"ideal":[117]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}