{"id":"https://openalex.org/W4210791184","doi":"https://doi.org/10.1109/globecom46510.2021.9685289","title":"Noise Variance Estimation in 5G NR Receivers: Bias Analysis and Compensation","display_name":"Noise Variance Estimation in 5G NR Receivers: Bias Analysis and Compensation","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210791184","doi":"https://doi.org/10.1109/globecom46510.2021.9685289"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685289","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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/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.,San Diego,CA,USA,92121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Semiconductor, Inc.,San Diego,CA,USA,92121","institution_ids":["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/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.,San Diego,CA,USA,92121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Semiconductor, Inc.,San Diego,CA,USA,92121","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100914009","display_name":"Dongwoon Bai","orcid":null},"institutions":[{"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.,San Diego,CA,USA,92121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Semiconductor, Inc.,San Diego,CA,USA,92121","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":0.407,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57807805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"49","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9991000294685364,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/estimator","display_name":"Estimator","score":0.7444751262664795},{"id":"https://openalex.org/keywords/block-error-rate","display_name":"Block Error Rate","score":0.619004487991333},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5973920822143555},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.5917628407478333},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.5526549816131592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5326235890388489},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5247693061828613},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.49571478366851807},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49539101123809814},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.48000138998031616},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4710008203983307},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.45210880041122437},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43624040484428406},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4241960346698761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3758997619152069},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2844122052192688},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24313229322433472},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.16031983494758606},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.15297922492027283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08428743481636047}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7444751262664795},{"id":"https://openalex.org/C2776639698","wikidata":"https://www.wikidata.org/wiki/Q4927140","display_name":"Block Error Rate","level":3,"score":0.619004487991333},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5973920822143555},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.5917628407478333},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.5526549816131592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5326235890388489},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5247693061828613},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.49571478366851807},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49539101123809814},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.48000138998031616},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4710008203983307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45210880041122437},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43624040484428406},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4241960346698761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3758997619152069},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2844122052192688},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24313229322433472},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.16031983494758606},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.15297922492027283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08428743481636047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685289","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":17,"referenced_works":["https://openalex.org/W1944454846","https://openalex.org/W2004615135","https://openalex.org/W2009171710","https://openalex.org/W2103699908","https://openalex.org/W2122734413","https://openalex.org/W2139832014","https://openalex.org/W2140577326","https://openalex.org/W2141658588","https://openalex.org/W2142187810","https://openalex.org/W2185057196","https://openalex.org/W2261010397","https://openalex.org/W3049310985","https://openalex.org/W3120586454","https://openalex.org/W3145659441","https://openalex.org/W6640665373","https://openalex.org/W6680696019","https://openalex.org/W6693031028"],"related_works":["https://openalex.org/W1995190897","https://openalex.org/W2103724625","https://openalex.org/W2051428568","https://openalex.org/W2131193330","https://openalex.org/W2097897855","https://openalex.org/W2078380508","https://openalex.org/W2013535605","https://openalex.org/W2411053396","https://openalex.org/W2330428352","https://openalex.org/W2620676623"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,25,31,52,56,59,63,81,95],"problem":[4],"of":[5,24,58,80,112],"noise":[6,26,53,82],"vari-ance":[7],"estimation":[8,23,45],"in":[9,78,110],"orthogonal":[10],"frequency":[11],"domain":[12],"multiplexing":[13],"(OFDM)-based":[14],"systems":[15],"such":[16,72],"as":[17],"5G":[18],"New":[19],"Radio":[20],"(NR).":[21],"Accurate":[22],"variance":[27,54],"is":[28,75],"critical":[29],"for":[30],"receiver":[32],"performance,":[33,104],"especially":[34],"when":[35],"applied":[36],"with":[37],"linear":[38],"minimum":[39],"mean":[40],"square":[41],"error":[42,114],"(LMMSE)":[43],"channel":[44],"(CE).":[46],"A":[47],"commonly":[48],"used":[49],"method":[50],"estimates":[51],"from":[55],"power":[57],"residual":[60],"signal":[61],"at":[62],"CE":[64,103],"output.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69,85],"prove":[70],"that":[71,94],"conventional":[73],"estimator":[74],"biased,":[76],"resulting":[77],"underestimation":[79],"variance;":[83],"then,":[84],"derive":[86],"a":[87],"bias":[88,97],"correction":[89,98],"method.":[90],"Simulation":[91],"results":[92],"show":[93],"proposed":[96],"can":[99],"significantly":[100],"improve":[101],"LMMSE":[102],"achieving":[105],"up":[106],"to":[107],"1dB":[108],"gain":[109],"terms":[111],"block":[113],"rate":[115],"(BLER).":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
