{"id":"https://openalex.org/W2189528172","doi":"https://doi.org/10.1109/wcsp.2015.7341144","title":"Sparse Bayesian learning based user detection and channel estimation for SCMA uplink systems","display_name":"Sparse Bayesian learning based user detection and channel estimation for SCMA uplink systems","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2189528172","doi":"https://doi.org/10.1109/wcsp.2015.7341144","mag":"2189528172"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2015.7341144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2015.7341144","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/A5100367915","display_name":"Yufeng Wang","orcid":"https://orcid.org/0000-0002-5819-0578"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yufeng Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059270582","display_name":"Shidong Zhou","orcid":"https://orcid.org/0000-0003-3307-0067"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shidong Zhou","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027553782","display_name":"Limin Xiao","orcid":"https://orcid.org/0000-0002-9806-5851"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Xiao","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720557","display_name":"Xiujun Zhang","orcid":"https://orcid.org/0000-0001-5746-6109"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujun Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040616081","display_name":"Jin Lian","orcid":"https://orcid.org/0000-0002-7281-050X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Lian","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100367915"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.1982,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.95635488,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9994999766349792,"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/computer-science","display_name":"Computer science","score":0.8024054765701294},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.7285146713256836},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.7221542000770569},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6516980528831482},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6162933111190796},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5391097664833069},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.500828742980957},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.47848862409591675},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4758153557777405},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.471383661031723},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3742712736129761},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32778871059417725},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.31272631883621216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21934828162193298},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1795366108417511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8024054765701294},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.7285146713256836},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.7221542000770569},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6516980528831482},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6162933111190796},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5391097664833069},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.500828742980957},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.47848862409591675},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4758153557777405},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.471383661031723},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3742712736129761},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32778871059417725},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31272631883621216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21934828162193298},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1795366108417511},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2015.7341144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2015.7341144","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2008104692","https://openalex.org/W2042519026","https://openalex.org/W2086456844","https://openalex.org/W2087544022","https://openalex.org/W2127271355","https://openalex.org/W2148154358","https://openalex.org/W2156374892","https://openalex.org/W2164595191","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W3030210059","https://openalex.org/W3160493493","https://openalex.org/W3190774574","https://openalex.org/W4287642618","https://openalex.org/W150273664","https://openalex.org/W3154003282","https://openalex.org/W2349784001","https://openalex.org/W4286569418","https://openalex.org/W3092731089","https://openalex.org/W2383340439"],"abstract_inverted_index":{"Sparse":[0],"code":[1],"multiple":[2],"access":[3],"(SCMA),":[4],"as":[5],"a":[6],"new":[7],"non-orthogonal":[8],"multiple-access":[9],"technique,":[10],"is":[11,41,72,86,93],"capable":[12],"to":[13,26,74,99],"achieve":[14],"massive":[15],"connectivity":[16],"and":[17,38,88],"grant-free":[18],"transmission":[19],"in":[20,49],"wireless":[21],"radio":[22],"access.":[23],"In":[24,58],"order":[25],"support":[27],"decoding":[28],"of":[29,67,78,83,103],"signal":[30],"from":[31],"simultaneous":[32],"accessing":[33],"users,":[34],"active":[35],"users":[36],"detection":[37],"channel":[39],"estimation":[40],"needed,":[42],"which":[43],"requires":[44],"significant":[45],"pilot":[46],"overhead,":[47],"especially":[48],"channels":[50],"with":[51],"relative":[52],"small":[53],"coherent":[54],"frequency":[55],"/":[56],"time.":[57],"this":[59],"paper,":[60],"an":[61],"algorithm":[62],"based":[63],"on":[64],"the":[65,76,84,91,101,104],"framework":[66],"sparse":[68],"Bayesian":[69],"learning":[70],"(SBL)":[71],"proposed":[73,105],"reduce":[75],"requirement":[77],"pilots":[79],"overhead.":[80],"The":[81],"effectiveness":[82],"proposal":[85],"described":[87],"analyzed,":[89],"meanwhile":[90],"complexity":[92],"evaluated.":[94],"Numerical":[95],"simulations":[96],"are":[97],"performed":[98],"substantiate":[100],"performance":[102],"algorithm.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
