{"id":"https://openalex.org/W2182495519","doi":"https://doi.org/10.1109/wcsp.2015.7341297","title":"Efficient iterative soft detection based on polynomial approximation for massive MIMO","display_name":"Efficient iterative soft detection based on polynomial approximation for massive MIMO","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2182495519","doi":"https://doi.org/10.1109/wcsp.2015.7341297","mag":"2182495519"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2015.7341297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2015.7341297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Wireless Communications &amp; Signal Processing (WCSP)","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/A5083157579","display_name":"Feng Wang","orcid":"https://orcid.org/0000-0003-4064-9958"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Wang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380082","display_name":"Chuan Zhang","orcid":"https://orcid.org/0000-0002-7736-6487"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiao Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Liang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057977197","display_name":"Zhi\u2010Zheng Wu","orcid":"https://orcid.org/0000-0003-2022-9147"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizheng Wu","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084521046","display_name":"Shugong Xu","orcid":"https://orcid.org/0000-0003-1905-6269"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shugong Xu","raw_affiliation_strings":["Intel Collaborative Research Institutes on Mobile Networking and Computing, Intel Labs, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Intel Collaborative Research Institutes on Mobile Networking and Computing, Intel Labs, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072916702","display_name":"Xiaohu You","orcid":"https://orcid.org/0000-0002-0809-8511"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu You","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083157579"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":2.2081,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9997000098228455,"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":0.9987000226974487,"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/mimo","display_name":"MIMO","score":0.7560484409332275},{"id":"https://openalex.org/keywords/cholesky-decomposition","display_name":"Cholesky decomposition","score":0.7544931769371033},{"id":"https://openalex.org/keywords/neumann-series","display_name":"Neumann series","score":0.6700344085693359},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6673579216003418},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6589734554290771},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.5676938891410828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4834626615047455},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47874969244003296},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.46852582693099976},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.45374661684036255},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4265025854110718},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4250656068325043},{"id":"https://openalex.org/keywords/minimum-degree-algorithm","display_name":"Minimum degree algorithm","score":0.42466479539871216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3936973214149475},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.32451486587524414},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.19580078125},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0867973268032074},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07734060287475586},{"id":"https://openalex.org/keywords/incomplete-cholesky-factorization","display_name":"Incomplete Cholesky factorization","score":0.07216095924377441}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7560484409332275},{"id":"https://openalex.org/C34727166","wikidata":"https://www.wikidata.org/wiki/Q515375","display_name":"Cholesky decomposition","level":3,"score":0.7544931769371033},{"id":"https://openalex.org/C137343772","wikidata":"https://www.wikidata.org/wiki/Q584910","display_name":"Neumann series","level":2,"score":0.6700344085693359},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6673579216003418},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6589734554290771},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.5676938891410828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4834626615047455},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47874969244003296},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.46852582693099976},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.45374661684036255},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4265025854110718},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4250656068325043},{"id":"https://openalex.org/C46085209","wikidata":"https://www.wikidata.org/wiki/Q17098969","display_name":"Minimum degree algorithm","level":5,"score":0.42466479539871216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3936973214149475},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.32451486587524414},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.19580078125},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0867973268032074},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07734060287475586},{"id":"https://openalex.org/C44363057","wikidata":"https://www.wikidata.org/wiki/Q6015160","display_name":"Incomplete Cholesky factorization","level":4,"score":0.07216095924377441},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2015.7341297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2015.7341297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Wireless Communications &amp; Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1485843586","https://openalex.org/W1508642566","https://openalex.org/W1608044471","https://openalex.org/W1992468081","https://openalex.org/W2018385545","https://openalex.org/W2019412361","https://openalex.org/W2021039675","https://openalex.org/W2065489737","https://openalex.org/W2139501252","https://openalex.org/W2141682101","https://openalex.org/W2142441514","https://openalex.org/W2147584524","https://openalex.org/W2154310679","https://openalex.org/W3106282754","https://openalex.org/W4240959780","https://openalex.org/W4240966028","https://openalex.org/W4285719527","https://openalex.org/W6629020187","https://openalex.org/W6630347795","https://openalex.org/W6786336975"],"related_works":["https://openalex.org/W2902935039","https://openalex.org/W2039814159","https://openalex.org/W3210095423","https://openalex.org/W2138563672","https://openalex.org/W2403987929","https://openalex.org/W2966537581","https://openalex.org/W2374847384","https://openalex.org/W2784059180","https://openalex.org/W2739538516","https://openalex.org/W2127054029"],"abstract_inverted_index":{"In":[0],"massive":[1],"multiple-input":[2],"multiple-output":[3],"(MIMO)":[4],"systems,":[5],"linear":[6],"minimum":[7],"mean":[8],"square":[9],"error":[10],"(MMSE)":[11],"detection":[12,85,145],"is":[13,43,70,100,128],"near-optimal":[14],"but":[15],"involves":[16],"large":[17,92],"dimensional":[18],"matrix":[19,41],"inversion,":[20,42],"which":[21,34],"results":[22,115],"in":[23],"high":[24],"complexity.":[25,51],"To":[26,72],"this":[27,74],"end,":[28],"Neumann":[29],"series":[30],"expansion":[31],"(NSE)":[32],"approximation,":[33],"avoids":[35],"the":[36,40,53,62,66,104,119,123,133,138],"direct":[37],"computation":[38],"of":[39,65,122],"recently":[44],"investigated":[45],"due":[46],"to":[47,102],"its":[48],"low":[49],"implementation":[50],"Unfortunately,":[52],"complexity":[54,89,121],"reduction":[55],"can":[56],"only":[57],"be":[58],"achieved":[59],"well":[60],"when":[61],"required":[63],"number":[64],"NSE":[67,80,99,135],"terms":[68],"L":[69],"small.":[71],"solve":[73],"problem,":[75],"we":[76],"proposed":[77,101,124],"an":[78],"iterative":[79],"(INSE)":[81],"algorithm":[82,127],"for":[83,91,108],"MMSE":[84],"at":[86],"a":[87],"manageable":[88],"even":[90],"L.":[93],"An":[94],"approximation":[95],"method":[96,136],"based":[97],"on":[98],"compute":[103],"log-likelihood":[105],"ratios":[106],"(LLRs)":[107],"channel":[109],"decoders.":[110],"Both":[111],"analytical":[112],"and":[113,137],"numerical":[114],"have":[116],"demonstrated":[117],"that,":[118],"overall":[120],"soft-output":[125],"MMSE-INSE":[126],"significantly":[129],"reduced":[130],"compared":[131],"with":[132],"conventional":[134],"Cholesky":[139],"decomposition":[140],"method,":[141],"while":[142],"keeping":[143],"similar":[144],"performance.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
