{"id":"https://openalex.org/W3007163531","doi":"https://doi.org/10.1109/globecom38437.2019.9013363","title":"Variational Bayesian Symbol Detection for Massive MIMO Systems with Symbol-Dependent Transmit Impairments","display_name":"Variational Bayesian Symbol Detection for Massive MIMO Systems with Symbol-Dependent Transmit Impairments","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007163531","doi":"https://doi.org/10.1109/globecom38437.2019.9013363","mag":"3007163531"},"language":"en","primary_location":{"id":"doi:10.1109/globecom38437.2019.9013363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5100383518","display_name":"Pu Wang","orcid":"https://orcid.org/0000-0002-4718-3102"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pu Wang","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023338067","display_name":"Toshiaki Koike\u2013Akino","orcid":"https://orcid.org/0000-0002-2578-5372"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Toshiaki Koike-Akino","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044769104","display_name":"Philip V. Orlik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip V. Orlik","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042113276","display_name":"Milutin Pajovic","orcid":"https://orcid.org/0000-0001-5033-017X"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milutin Pajovic","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059938882","display_name":"Kyeong Jin Kim","orcid":"https://orcid.org/0000-0002-1943-8307"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyeong Jin Kim","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":0.3982,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57149297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","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"}},"topics":[{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9969000220298767,"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":0.9890000224113464,"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/symbol","display_name":"Symbol (formal)","score":0.7595986127853394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6143978238105774},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5447160005569458},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5416243076324463},{"id":"https://openalex.org/keywords/transceiver","display_name":"Transceiver","score":0.5290407538414001},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5251744985580444},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4768741726875305},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4510580003261566},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3420315980911255},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3360269367694855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29589053988456726},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2270476520061493},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11004021763801575},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.08341214060783386}],"concepts":[{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.7595986127853394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6143978238105774},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5447160005569458},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5416243076324463},{"id":"https://openalex.org/C7720470","wikidata":"https://www.wikidata.org/wiki/Q954187","display_name":"Transceiver","level":3,"score":0.5290407538414001},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5251744985580444},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4768741726875305},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4510580003261566},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3420315980911255},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3360269367694855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29589053988456726},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2270476520061493},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11004021763801575},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.08341214060783386},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom38437.2019.9013363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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":24,"referenced_works":["https://openalex.org/W1676355938","https://openalex.org/W1964787636","https://openalex.org/W1986482555","https://openalex.org/W2000721204","https://openalex.org/W2017190463","https://openalex.org/W2022414424","https://openalex.org/W2049081193","https://openalex.org/W2075505133","https://openalex.org/W2089121898","https://openalex.org/W2142238976","https://openalex.org/W2145813819","https://openalex.org/W2166500259","https://openalex.org/W2166670884","https://openalex.org/W2168007631","https://openalex.org/W2262813238","https://openalex.org/W2741899213","https://openalex.org/W2793871832","https://openalex.org/W2798777289","https://openalex.org/W2889447576","https://openalex.org/W2963346020","https://openalex.org/W2963669302","https://openalex.org/W3100399470","https://openalex.org/W4300223101","https://openalex.org/W6754609703"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W2950975704","https://openalex.org/W4297815943","https://openalex.org/W2053745677","https://openalex.org/W2189378472"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,11],"variational":[6,77],"Bayesian":[7,78],"inference":[8],"approach":[9],"for":[10,15],"low-complexity":[12],"symbol":[13,79],"detection":[14],"massive":[16],"MIMO":[17],"systems":[18],"with":[19],"symbol-":[20],"dependent":[21],"transmit-side":[22],"impairments.":[23],"This":[24],"study":[25],"is":[26,81],"motivated":[27],"by":[28,37],"observations":[29],"that":[30],"realworld":[31],"communication":[32],"transceivers":[33],"are":[34,62],"often":[35],"affected":[36],"the":[38,66,85,95,98],"hardware":[39],"impairments,":[40],"such":[41],"as":[42,71],"non-linearities":[43],"of":[44,97],"power":[45],"amplifiers,":[46],"I/Q":[47],"imbalance,":[48],"phase":[49],"drifts":[50],"due":[51],"to":[52,83],"non-ideal":[53],"oscillators,":[54],"and":[55],"carrier":[56],"frequency":[57],"offsets.":[58],"Particularly,":[59],"symbol-dependent":[60],"perturbations":[61,87],"fully":[63],"accounted":[64],"into":[65],"designed":[67],"hierarchical":[68],"signal":[69],"model":[70,73],"unknown":[72,86],"parameters.":[74],"The":[75],"developed":[76],"detector":[80],"able":[82],"learn":[84],"in":[88],"an":[89],"iterative":[90],"fashion.":[91],"Numerical":[92],"evaluation":[93],"confirms":[94],"effectiveness":[96],"proposed":[99],"approach.":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}