{"id":"https://openalex.org/W3045639109","doi":"https://doi.org/10.1109/icc40277.2020.9148925","title":"Massive Random Access in Massive MIMO via Opportunistic Thresholding","display_name":"Massive Random Access in Massive MIMO via Opportunistic Thresholding","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045639109","doi":"https://doi.org/10.1109/icc40277.2020.9148925","mag":"3045639109"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9148925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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/A5035826002","display_name":"Mohammad NaseriTehrani","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mohammad NaseriTehrani","raw_affiliation_strings":["Institute for Digital Communications Friedrich-Alexander-Universitat (FAU), Erlangen-Nurnberg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications Friedrich-Alexander-Universitat (FAU), Erlangen-Nurnberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011023416","display_name":"Shahrokh Farahmand","orcid":"https://orcid.org/0000-0002-4953-2441"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Shahrokh Farahmand","raw_affiliation_strings":["School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035826002"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.1761,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45277435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"abs 903 1022","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9998000264167786,"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":0.7347210645675659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6836183071136475},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.6766343116760254},{"id":"https://openalex.org/keywords/random-matrix","display_name":"Random matrix","score":0.6726005673408508},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.6441711187362671},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5470921397209167},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4709670841693878},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46214282512664795},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44089895486831665},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43629130721092224},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.42691951990127563},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4094260334968567},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36529305577278137},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.30252552032470703},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2587980628013611},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16210871934890747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15504324436187744},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.09936684370040894},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07540833950042725}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7347210645675659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6836183071136475},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.6766343116760254},{"id":"https://openalex.org/C64812099","wikidata":"https://www.wikidata.org/wiki/Q176604","display_name":"Random matrix","level":3,"score":0.6726005673408508},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.6441711187362671},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5470921397209167},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4709670841693878},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46214282512664795},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44089895486831665},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43629130721092224},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.42691951990127563},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4094260334968567},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36529305577278137},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.30252552032470703},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2587980628013611},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16210871934890747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15504324436187744},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.09936684370040894},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07540833950042725},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc40277.2020.9148925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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":24,"referenced_works":["https://openalex.org/W1518945650","https://openalex.org/W1643866620","https://openalex.org/W1676074242","https://openalex.org/W1848264314","https://openalex.org/W1974774078","https://openalex.org/W2061225176","https://openalex.org/W2109424135","https://openalex.org/W2141556672","https://openalex.org/W2152279006","https://openalex.org/W2153609494","https://openalex.org/W2490222774","https://openalex.org/W2575960352","https://openalex.org/W2619541159","https://openalex.org/W2735475593","https://openalex.org/W2784331297","https://openalex.org/W2894772806","https://openalex.org/W2964118826","https://openalex.org/W2964949438","https://openalex.org/W3001370401","https://openalex.org/W4211030719","https://openalex.org/W6636616396","https://openalex.org/W6637044157","https://openalex.org/W6766711249","https://openalex.org/W6772987700"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W2106711889","https://openalex.org/W4226210192","https://openalex.org/W2032430904","https://openalex.org/W2114648181"],"abstract_inverted_index":{"Non-orthogonal":[0],"codes":[1],"have":[2],"been":[3],"recently":[4],"applied":[5],"for":[6,19,115],"massive":[7,13],"IoT":[8],"random":[9,24],"access":[10,25],"to":[11,132],"a":[12,28,87],"MIMO":[14],"base":[15],"station.":[16],"Activity":[17],"detection":[18],"this":[20,60,102],"extension":[21],"of":[22,51,90,112,137,142],"on-off":[23],"channel":[26],"yields":[27],"jointly":[29],"sparse":[30],"multiple":[31],"measurement":[32,123],"vector":[33],"(MMV)":[34],"problem.":[35],"However,":[36],"no":[37],"one":[38],"investigated":[39],"the":[40,134,143,146],"regime":[41],"when":[42],"measurements":[43],"per":[44],"antenna":[45],"are":[46,62,98,118,125,130],"very":[47],"limited":[48],"but":[49],"number":[50],"antennas":[52,83],"is":[53],"extremely":[54],"large.":[55],"Our":[56],"contributions":[57],"towards":[58],"addressing":[59],"problem":[61],"as":[63,86],"follows.":[64],"Firstly,":[65],"motivated":[66],"by":[67],"trivial":[68],"pursuit":[69],"which":[70,100],"performs":[71],"well":[72],"with":[73],"independent":[74,79],"sensing":[75,91,107],"matrices,":[76],"we":[77],"designate":[78],"small-scale":[80],"fading":[81],"across":[82],"and":[84,105,121],"users":[85],"possible":[88],"source":[89],"matrix":[92,108],"de-correlation.":[93],"Secondly,":[94],"two":[95],"novel":[96],"algorithms":[97],"proposed":[99],"exploit":[101],"partial":[103],"de-correlation":[104],"collect":[106],"diversity.":[109],"Thirdly,":[110],"probability":[111],"failure":[113],"(PoF)":[114],"these":[116,138],"methods":[117,139],"rigorously":[119],"derived":[120],"corresponding":[122],"inequalities":[124],"presented.":[126],"Fourthly,":[127],"extensive":[128],"simulations":[129],"conducted":[131],"confirm":[133],"superior":[135],"performance":[136],"versus":[140],"state":[141],"art":[144],"in":[145],"aforementioned":[147],"regime.":[148]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
