{"id":"https://openalex.org/W3002563005","doi":"https://doi.org/10.1109/iwsda46143.2019.8966120","title":"Deep Learning Based Modified Message Passing Algorithm for Sparse Code Multiple Access","display_name":"Deep Learning Based Modified Message Passing Algorithm for Sparse Code Multiple Access","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3002563005","doi":"https://doi.org/10.1109/iwsda46143.2019.8966120","mag":"3002563005"},"language":"en","primary_location":{"id":"doi:10.1109/iwsda46143.2019.8966120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwsda46143.2019.8966120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Ninth International Workshop on Signal Design and its Applications in Communications (IWSDA)","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/A5101813604","display_name":"Lanping Li","orcid":"https://orcid.org/0000-0003-3032-077X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lanping Li","raw_affiliation_strings":["Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu 611756, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu 611756, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029840191","display_name":"Xiaohu Tang","orcid":"https://orcid.org/0000-0002-7938-7812"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Tang","raw_affiliation_strings":["Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu 611756, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu 611756, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060881187","display_name":"Chintha Tellambura","orcid":"https://orcid.org/0000-0002-9419-7195"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chintha Tellambura","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton T6G 2V4, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton T6G 2V4, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101813604"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.5961,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69997099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","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/T11458","display_name":"Advanced Wireless Communication Technologies","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":0.9965999722480774,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/message-passing","display_name":"Message passing","score":0.8306514024734497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7193601131439209},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.612552285194397},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5976518988609314},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5797761678695679},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5422762632369995},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5358781814575195},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4759901762008667},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47273150086402893},{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.43631571531295776},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2861396074295044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28037887811660767},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.18109115958213806},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1799418032169342},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.08006605505943298},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07982704043388367}],"concepts":[{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.8306514024734497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193601131439209},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.612552285194397},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5976518988609314},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5797761678695679},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5422762632369995},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5358781814575195},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4759901762008667},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47273150086402893},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.43631571531295776},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2861396074295044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28037887811660767},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.18109115958213806},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1799418032169342},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.08006605505943298},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07982704043388367},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwsda46143.2019.8966120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwsda46143.2019.8966120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Ninth International Workshop on Signal Design and its Applications in Communications (IWSDA)","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":13,"referenced_works":["https://openalex.org/W2042519026","https://openalex.org/W2150498905","https://openalex.org/W2314230188","https://openalex.org/W2556254512","https://openalex.org/W2558871231","https://openalex.org/W2770861014","https://openalex.org/W2784180017","https://openalex.org/W2809267483","https://openalex.org/W2953384591","https://openalex.org/W2962984760","https://openalex.org/W2964175260","https://openalex.org/W3007990687","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W4301001985","https://openalex.org/W2120733084","https://openalex.org/W2953176410","https://openalex.org/W2124250880","https://openalex.org/W2113725794","https://openalex.org/W2122977448","https://openalex.org/W4310001825","https://openalex.org/W4226307048","https://openalex.org/W4301665663","https://openalex.org/W3177262287"],"abstract_inverted_index":{"Shuffled":[0],"message":[1,10],"passing":[2,11],"algorithm":[3,12],"(SMPA)":[4],"is":[5],"a":[6],"serial":[7],"variant":[8],"of":[9,27,40,59,68,108,115],"(MPA)":[13],"for":[14,111],"sparse":[15],"code":[16],"multiple":[17],"access":[18],"(SCMA)":[19],"signal":[20],"detection,":[21],"which":[22,89],"accelerates":[23],"the":[24,33,38,43,47,53,57,60,75,83,92,112],"convergence":[25],"rate":[26],"MPA.":[28],"However,":[29],"SMPA":[30,65,102,105],"still":[31],"achieves":[32],"near-optimal":[34],"performance":[35],"due":[36],"to":[37,51,56,86],"effect":[39],"cycles":[41],"in":[42,106],"factor":[44,61],"graph.":[45],"In":[46],"paper,":[48],"we":[49,97],"propose":[50],"optimize":[52],"weights":[54,76,88],"assigned":[55],"edges":[58],"graph":[62],"by":[63],"unfolding":[64],"as":[66,77],"layers":[67],"deep":[69],"neural":[70],"network":[71,78,84],"(DNN).":[72],"We":[73],"consider":[74],"parameters":[79],"and":[80],"then":[81],"train":[82],"offline":[85],"obtain":[87],"can":[90],"minimize":[91],"loss":[93],"function.":[94],"With":[95],"simulations,":[96],"show":[98],"that":[99],"DNN":[100],"based":[101],"(DNN-SMPA)":[103],"outperforms":[104],"terms":[107],"bit-error-rate":[109],"(BER)":[110],"same":[113],"level":[114],"computational":[116],"complexity.":[117]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}