{"id":"https://openalex.org/W2388468868","doi":"https://doi.org/10.1109/isit.2016.7541285","title":"On the performance of mismatched data detection in large MIMO systems","display_name":"On the performance of mismatched data detection in large MIMO systems","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2388468868","doi":"https://doi.org/10.1109/isit.2016.7541285","mag":"2388468868"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1605.02324","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Charles Jeon","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Charles Jeon","raw_affiliation_strings":["School of ECE at Cornell University, Ithaca, NY, United States of America"],"affiliations":[{"raw_affiliation_string":"School of ECE at Cornell University, Ithaca, NY, United States of America","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Arian Maleki","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arian Maleki","raw_affiliation_strings":["Department of Statistics at Columbia University, New York City, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Statistics at Columbia University, New York City, United States of America","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":null,"display_name":"Christoph Studer","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christoph Studer","raw_affiliation_strings":["School of ECE at Cornell University, Ithaca, NY, United States of America"],"affiliations":[{"raw_affiliation_string":"School of ECE at Cornell University, Ithaca, NY, United States of America","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":2.9829,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91568224,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"180","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9995999932289124,"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":0.9995999932289124,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9987999796867371,"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/mimo","display_name":"MIMO","score":0.7333999872207642},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6359999775886536},{"id":"https://openalex.org/keywords/hypercube","display_name":"Hypercube","score":0.5142999887466431},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.48579999804496765},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.48249998688697815},{"id":"https://openalex.org/keywords/constellation","display_name":"Constellation","score":0.47450000047683716},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42480000853538513},{"id":"https://openalex.org/keywords/qam","display_name":"QAM","score":0.4059000015258789}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7333999872207642},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6359999775886536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5820000171661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5812000036239624},{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.5142999887466431},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.48579999804496765},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.48249998688697815},{"id":"https://openalex.org/C70352696","wikidata":"https://www.wikidata.org/wiki/Q8928","display_name":"Constellation","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C59030546","wikidata":"https://www.wikidata.org/wiki/Q7265371","display_name":"QAM","level":5,"score":0.4059000015258789},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.34380000829696655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34200000762939453},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2754000127315521},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.27410000562667847},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2016.7541285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1605.02324","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.02324","pdf_url":"https://arxiv.org/pdf/1605.02324","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1605.02324","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.02324","pdf_url":"https://arxiv.org/pdf/1605.02324","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W111684663","https://openalex.org/W1986554702","https://openalex.org/W2082029531","https://openalex.org/W2101837693","https://openalex.org/W2109286020","https://openalex.org/W2127739274","https://openalex.org/W2127995963","https://openalex.org/W2132090882","https://openalex.org/W2136979582","https://openalex.org/W2138358551","https://openalex.org/W2147521991","https://openalex.org/W2157638198","https://openalex.org/W2166500259","https://openalex.org/W2252716581","https://openalex.org/W2388468868","https://openalex.org/W2610971674","https://openalex.org/W6638123108","https://openalex.org/W6689190046","https://openalex.org/W6755352495"],"related_works":[],"abstract_inverted_index":{"We":[0,72],"investigate":[1],"the":[2,15,19,24,29,34,89,114],"performance":[3,35,97],"of":[4,18,99],"mismatched":[5,62],"data":[6,25,127],"detection":[7],"in":[8,23],"large":[9,50],"multiple-input":[10],"multiple-output":[11],"(MIMO)":[12],"systems,":[13],"where":[14],"prior":[16,40,91,105,109],"distribution":[17],"transmit":[20],"signal":[21],"used":[22],"detector":[26],"differs":[27],"from":[28],"true":[30,90],"prior.":[31],"To":[32],"minimize":[33],"loss":[36],"caused":[37],"by":[38],"this":[39],"mismatch,":[41],"we":[42],"include":[43],"a":[44,103,107,111],"tuning":[45],"stage":[46],"into":[47],"our":[48,100],"recently-proposed":[49],"MIMO":[51,126],"approximate":[52],"message":[53],"passing":[54],"(LAMA)":[55],"algorithm,":[56],"which":[57],"allows":[58],"us":[59],"to":[60,86],"develop":[61],"LAMA":[63,87],"algorithms":[64,84,101],"with":[65,88],"optimal":[66],"as":[67,69],"well":[68],"sub-optimal":[70],"tuning.":[71],"show":[73],"that":[74],"carefully-selected":[75],"priors":[76],"often":[77],"enable":[78],"simpler":[79],"and":[80,106,119,124],"computationally":[81],"more":[82],"efficient":[83],"compared":[85],"while":[92],"achieving":[93],"near-optimal":[94],"performance.":[95],"A":[96],"analysis":[98],"for":[102],"Gaussian":[104],"uniform":[108],"within":[110],"hypercube":[112],"covering":[113],"QAM":[115],"constellation":[116],"recovers":[117],"classical":[118],"recent":[120],"results":[121],"on":[122],"linear":[123],"non-linear":[125],"detection,":[128],"respectively.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-21T06:30:42.041108","created_date":"2016-06-24T00:00:00"}
