{"id":"https://openalex.org/W2023780226","doi":"https://doi.org/10.1109/glocom.2011.6134080","title":"Low-Complexity MIMO Detection Using Post-Processing SINR Ordering and Partial K-Best Search","display_name":"Low-Complexity MIMO Detection Using Post-Processing SINR Ordering and Partial K-Best Search","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2023780226","doi":"https://doi.org/10.1109/glocom.2011.6134080","mag":"2023780226"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2011.6134080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2011.6134080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Global Telecommunications Conference - GLOBECOM 2011","raw_type":"proceedings-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/A5060236628","display_name":"R. H. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["TW","US"],"is_corresponding":true,"raw_author_name":"R. H. Chen","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]},{"raw_affiliation_string":"Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035844880","display_name":"Wei\u2010Ho Chung","orcid":"https://orcid.org/0000-0002-3041-7398"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Wei-Ho Chung","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]},{"raw_affiliation_string":"Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#","institution_ids":["https://openalex.org/I29955533"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060236628"],"corresponding_institution_ids":["https://openalex.org/I29955533","https://openalex.org/I4210086894"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.08892775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"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":0.9998000264167786,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9994000196456909,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9991999864578247,"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/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.7528356313705444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.689642071723938},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6263456344604492},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6079002618789673},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5936205387115479},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5435812473297119},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5200566649436951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5023796558380127},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4889580011367798},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4764305055141449},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.42852509021759033},{"id":"https://openalex.org/keywords/signal-to-interference-plus-noise-ratio","display_name":"Signal-to-interference-plus-noise ratio","score":0.42470091581344604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2742787003517151},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15069404244422913},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14385095238685608},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.10407957434654236},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06943845748901367}],"concepts":[{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.7528356313705444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.689642071723938},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6263456344604492},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6079002618789673},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5936205387115479},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5435812473297119},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5200566649436951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5023796558380127},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4889580011367798},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4764305055141449},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.42852509021759033},{"id":"https://openalex.org/C98824394","wikidata":"https://www.wikidata.org/wiki/Q4035626","display_name":"Signal-to-interference-plus-noise ratio","level":3,"score":0.42470091581344604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2742787003517151},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15069404244422913},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14385095238685608},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.10407957434654236},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06943845748901367},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/glocom.2011.6134080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2011.6134080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Global Telecommunications Conference - GLOBECOM 2011","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.679.997","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.citi.sinica.edu.tw/papers/whc/1971-F.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1514184683","https://openalex.org/W1667950888","https://openalex.org/W1997002146","https://openalex.org/W2100336683","https://openalex.org/W2108656301","https://openalex.org/W2125385012","https://openalex.org/W2126483728","https://openalex.org/W2138293524","https://openalex.org/W2139104935","https://openalex.org/W2142332095","https://openalex.org/W2152567401","https://openalex.org/W2156787051","https://openalex.org/W2160757802","https://openalex.org/W2160897074","https://openalex.org/W2163050266"],"related_works":["https://openalex.org/W2158165366","https://openalex.org/W3195147989","https://openalex.org/W2738062192","https://openalex.org/W3140124938","https://openalex.org/W1517150187","https://openalex.org/W2528414118","https://openalex.org/W2097201307","https://openalex.org/W4238600532","https://openalex.org/W2387156362","https://openalex.org/W2078010730"],"abstract_inverted_index":{"Linear":[0],"detectors":[1],"such":[2],"as":[3,70],"zero-forcing":[4],"(ZF)":[5],"and":[6,52,75,117],"minimum":[7],"mean":[8],"square":[9],"error":[10,146],"(MMSE)":[11],"require":[12],"only":[13],"a":[14,39],"small":[15,107],"fraction":[16],"of":[17,72,101,109,131,151],"computational":[18,121],"complexity":[19,122],"compared":[20,135],"to":[21,113,136],"maximum":[22],"likelihood":[23],"(ML)":[24],"detector.":[25],"However,":[26],"linear":[27],"detections":[28],"suffer":[29],"from":[30,77],"severe":[31],"performance":[32,129],"degradation.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37],"propose":[38],"novel":[40],"detection":[41,48,165],"scheme":[42],"which":[43,93],"obtains":[44],"the":[45,78,102,119,128,132,137,143,148,155,162],"initial":[46],"symbol":[47,55,145],"by":[49,57,90],"MMSE":[50,62,139],"detector":[51],"then":[53],"perform":[54],"ordering":[56],"signal-to-interference-and-noise":[58],"ratio":[59],"(SINR).":[60],"The":[61,82,106],"detected":[63,89],"symbols":[64,84],"with":[65,85],"higher":[66],"SINR":[67,87],"are":[68,88],"retained":[69],"part":[71],"final":[73],"solution":[74],"cancelled":[76],"original":[79],"received":[80],"signals.":[81],"remaining":[83],"lower":[86],"K-best":[91,164],"algorithm,":[92],"selects":[94],"K":[95,110],"best":[96],"nodes":[97,152],"in":[98,154],"each":[99],"layer":[100],"partial":[103],"tree":[104],"search.":[105],"value":[108],"is":[111,123,158],"sufficient":[112],"achieve":[114],"good":[115],"performances,":[116],"therefore":[118],"extra":[120],"minimal.":[124],"Simulation":[125],"results":[126],"show":[127],"superiority":[130],"proposed":[133,156],"method":[134],"conventional":[138,163],"detection.":[140],"Moreover,":[141],"at":[142],"similar":[144],"rates,":[147],"total":[149],"number":[150],"visited":[153],"approach":[157],"much":[159],"smaller":[160],"than":[161],"scheme.":[166]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
