{"id":"https://openalex.org/W4324125340","doi":"https://doi.org/10.1109/lwc.2023.3256300","title":"Efficient Massive Machine Type Communication (mMTC) via AMP","display_name":"Efficient Massive Machine Type Communication (mMTC) via AMP","publication_year":2023,"publication_date":"2023-03-13","ids":{"openalex":"https://openalex.org/W4324125340","doi":"https://doi.org/10.1109/lwc.2023.3256300"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2023.3256300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2023.3256300","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-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/A5015613580","display_name":"Mostafa Mohammadkarimi","orcid":"https://orcid.org/0000-0003-4953-978X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Mostafa Mohammadkarimi","raw_affiliation_strings":["Department of Microelectronics, Delft University of Technology, CD Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Microelectronics, Delft University of Technology, CD Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008826983","display_name":"Masoud Ardakani","orcid":null},"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":"Masoud Ardakani","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015613580"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.6365,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6007349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":"6","first_page":"1002","last_page":"1006"},"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/T12079","display_name":"IoT Networks and Protocols","score":0.9988999962806702,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9983999729156494,"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/decoding-methods","display_name":"Decoding methods","score":0.6293878555297852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5983543395996094},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.589884340763092},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5873658061027527},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5728912353515625},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.5161579847335815},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41840076446533203},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3251778781414032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25888240337371826}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6293878555297852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5983543395996094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.589884340763092},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5873658061027527},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5728912353515625},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.5161579847335815},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41840076446533203},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3251778781414032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25888240337371826},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lwc.2023.3256300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2023.3256300","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-article"},{"id":"pmh:oai:tudelft.nl:uuid:80b05876-ed04-44b9-828c-112327583571","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:80b05876-ed04-44b9-828c-112327583571","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2082029531","https://openalex.org/W2166670884","https://openalex.org/W2258639763","https://openalex.org/W2596690402","https://openalex.org/W2610971674","https://openalex.org/W2797671267","https://openalex.org/W2884367479","https://openalex.org/W2890736047","https://openalex.org/W2896032744","https://openalex.org/W2907730873","https://openalex.org/W2963064298","https://openalex.org/W2974960803","https://openalex.org/W3089441559","https://openalex.org/W3098848552","https://openalex.org/W3103929211","https://openalex.org/W3190237156","https://openalex.org/W3207200125","https://openalex.org/W4292387384","https://openalex.org/W6692387034"],"related_works":["https://openalex.org/W2009525028","https://openalex.org/W4321064619","https://openalex.org/W2161474341","https://openalex.org/W2076561698","https://openalex.org/W4302615923","https://openalex.org/W2053599029","https://openalex.org/W2962925412","https://openalex.org/W2023672523","https://openalex.org/W3203142394","https://openalex.org/W2351061015"],"abstract_inverted_index":{"We":[0],"propose":[1],"efficient":[2],"and":[3,39,43,69,136],"low-complexity":[4],"multiuser":[5],"detection":[6],"(MUD)":[7],"algorithms":[8,64,90,133],"for":[9,15,77,91],"Gaussian":[10],"multiple":[11],"access":[12],"channel":[13],"(G-MAC)":[14],"short-packet":[16],"transmission":[17],"in":[18],"massive":[19],"machine":[20],"type":[21],"communications.":[22],"To":[23],"do":[24],"so,":[25],"we":[26,56],"first":[27],"formulate":[28],"the":[29,41,49,58,66,81,87,109,118,131,139],"G-MAC":[30],"MUD":[31,89],"problem":[32,38],"as":[33],"a":[34,92],"sparse":[35,50,82],"signal":[36],"recovery":[37],"obtain":[40],"exact":[42],"approximate":[44,60],"joint":[45],"prior":[46],"distribution":[47],"of":[48,80,86,95,104,117,138],"vector":[51],"to":[52],"be":[53],"recovered.":[54],"Then,":[55],"employ":[57],"Bayesian":[59],"message":[61],"passing":[62],"(AMP)":[63],"with":[65,112],"optimal":[67],"separable":[68],"non-separable":[70],"minimum":[71],"mean":[72],"squared":[73],"error":[74],"(MMSE)":[75],"denoisers":[76],"soft":[78],"decoding":[79],"vector.":[83],"The":[84],"effectiveness":[85],"proposed":[88,132],"large":[93],"number":[94],"devices":[96],"is":[97],"supported":[98],"by":[99],"simulation":[100],"results.":[101],"For":[102],"packets":[103],"8":[105],"information":[106],"bits,":[107],"while":[108],"state-of-the-art":[110],"AMP":[111],"soft-threshold":[113],"denoising":[114],"achieves":[115],"8/100":[116],"upper":[119,140],"bound":[120],"at":[121],"<inline-formula":[122],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[123],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[124],"<tex-math":[125],"notation=\"LaTeX\">$E_{b}/N_{0}=4":[126],"{\\mathrm{":[127],"dB}}$":[128],"</tex-math></inline-formula>":[129],",":[130],"reach":[134],"4/7":[135],"1/2":[137],"bound.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
