{"id":"https://openalex.org/W2785598795","doi":"https://doi.org/10.1109/glocomw.2017.8269089","title":"Message Passing Receiver Design for Uplink Grant-Free SCMA","display_name":"Message Passing Receiver Design for Uplink Grant-Free SCMA","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2785598795","doi":"https://doi.org/10.1109/glocomw.2017.8269089","mag":"2785598795"},"language":"en","primary_location":{"id":"doi:10.1109/glocomw.2017.8269089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocomw.2017.8269089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Globecom Workshops (GC Wkshps)","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/A5102745829","display_name":"Fan Wei","orcid":"https://orcid.org/0000-0003-3376-5299"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Wei","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344189","display_name":"Wen Chen","orcid":"https://orcid.org/0000-0003-2133-8679"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Chen","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102745829"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.0034,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78924285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9993000030517578,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9993000030517578,"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":0.9990000128746033,"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":0.9987000226974487,"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/factor-graph","display_name":"Factor graph","score":0.8217455148696899},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.8186435103416443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7860170006752014},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.755820631980896},{"id":"https://openalex.org/keywords/decodes","display_name":"Decodes","score":0.7482241988182068},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.7346349954605103},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7043615579605103},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5750770568847656},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5237909555435181},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5184056758880615},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4647684693336487},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3646065592765808},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35877352952957153},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34242141246795654},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3336675465106964},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.2526765763759613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17603081464767456}],"concepts":[{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.8217455148696899},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.8186435103416443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7860170006752014},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.755820631980896},{"id":"https://openalex.org/C2778858076","wikidata":"https://www.wikidata.org/wiki/Q5249539","display_name":"Decodes","level":3,"score":0.7482241988182068},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.7346349954605103},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7043615579605103},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5750770568847656},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5237909555435181},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5184056758880615},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4647684693336487},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3646065592765808},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35877352952957153},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34242141246795654},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3336675465106964},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2526765763759613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17603081464767456},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocomw.2017.8269089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocomw.2017.8269089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1667165204","https://openalex.org/W1919880533","https://openalex.org/W1934021597","https://openalex.org/W2000721204","https://openalex.org/W2022750209","https://openalex.org/W2042519026","https://openalex.org/W2046245205","https://openalex.org/W2087544022","https://openalex.org/W2124250880","https://openalex.org/W2137813581","https://openalex.org/W2223539108","https://openalex.org/W2470000911","https://openalex.org/W2556254512","https://openalex.org/W2601871131","https://openalex.org/W2964279641","https://openalex.org/W3007990687","https://openalex.org/W6640231202"],"related_works":["https://openalex.org/W2122977448","https://openalex.org/W2124250880","https://openalex.org/W4301665663","https://openalex.org/W2963109230","https://openalex.org/W3177262287","https://openalex.org/W2286197641","https://openalex.org/W2757022491","https://openalex.org/W2978729728","https://openalex.org/W2555468667","https://openalex.org/W2785598795"],"abstract_inverted_index":{"In":[0,28],"this":[1],"paper,":[2],"we":[3],"consider":[4],"the":[5,11,16,20,32,42,53,60,66,79,90,108,117],"uplink":[6],"grant-free":[7],"SCMA":[8],"detection":[9,45],"where":[10],"base":[12],"station":[13],"blindly":[14],"decodes":[15],"users'data":[17],"without":[18],"knowing":[19],"user":[21],"activity":[22],"and":[23,46],"their":[24],"channel":[25,43],"state":[26],"information.":[27],"order":[29],"to":[30,88],"shorten":[31],"pilots":[33],"overhead,":[34],"a":[35,98,112],"message":[36],"passing":[37],"receiver":[38],"that":[39,97,107],"jointly":[40],"performs":[41],"estimation,user":[44],"data":[47],"decoding":[48],"is":[49,74,86,102],"proposed.":[50],"We":[51],"formulate":[52],"belief":[54],"propagation":[55,85],"(BP)":[56],"framework":[57],"based":[58],"on":[59],"factor":[61],"graph":[62],"of":[63,69,81],"SCMA.":[64],"However,":[65],"direct":[67],"use":[68],"BP":[70],"for":[71],"multi-variable":[72],"problem":[73],"prohibitively":[75],"complex.":[76],"Motivated":[77],"by":[78],"idea":[80],"approximate":[82],"inference,":[83],"expectation":[84],"used":[87],"project":[89],"intractable":[91],"distributions":[92],"into":[93],"Gaussian":[94],"families":[95],"such":[96],"linear":[99],"complexity":[100],"decoder":[101],"obtained.":[103],"Simulation":[104],"results":[105],"show":[106],"proposed":[109],"algorithm":[110],"has":[111],"better":[113],"performance":[114],"compared":[115],"with":[116],"existing":[118],"methods.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
