{"id":"https://openalex.org/W4384080244","doi":"https://doi.org/10.1109/tce.2023.3294832","title":"Enabling Efficient Data Integration of Industry 5.0 Nodes Through Highly Accurate Neural CSI Feedback","display_name":"Enabling Efficient Data Integration of Industry 5.0 Nodes Through Highly Accurate Neural CSI Feedback","publication_year":2023,"publication_date":"2023-07-12","ids":{"openalex":"https://openalex.org/W4384080244","doi":"https://doi.org/10.1109/tce.2023.3294832"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2023.3294832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3294832","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","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/A5037418489","display_name":"Mostafa Hussien","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mostafa Hussien","raw_affiliation_strings":["Department of Electrical Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7545-0741","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019659545","display_name":"Kim Khoa Nguyen","orcid":"https://orcid.org/0000-0002-9354-7544"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kim Khoa Nguyen","raw_affiliation_strings":["Department of Electrical Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9354-7544","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008261042","display_name":"Ali Ranjha","orcid":"https://orcid.org/0000-0001-6663-3714"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Ranjha","raw_affiliation_strings":["Department of Electrical Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0001-6663-3714","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004970162","display_name":"Moez Krichen","orcid":"https://orcid.org/0000-0001-8873-9755"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I52207611","display_name":"Al Baha University","ror":"https://ror.org/0403jak37","country_code":"SA","type":"education","lineage":["https://openalex.org/I52207611"]}],"countries":["SA","TN"],"is_corresponding":false,"raw_author_name":"Moez Krichen","raw_affiliation_strings":["Faculty of CSIT, Al-Baha University, Al Bahah, Saudi Arabia","ReDCAD Laboratory, University of Sfax, Sfax, Tunisia"],"raw_orcid":"https://orcid.org/0000-0001-8873-9755","affiliations":[{"raw_affiliation_string":"Faculty of CSIT, Al-Baha University, Al Bahah, Saudi Arabia","institution_ids":["https://openalex.org/I52207611"]},{"raw_affiliation_string":"ReDCAD Laboratory, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010075945","display_name":"Abdulaziz Alshammari","orcid":null},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdulaziz Alshammari","raw_affiliation_strings":["Department of Information Systems, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015410834","display_name":"Mohamed Cheriet","orcid":"https://orcid.org/0000-0002-5246-7265"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed Cheriet","raw_affiliation_strings":["Department of Automated Production Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5246-7265","affiliations":[{"raw_affiliation_string":"Department of Automated Production Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9122,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91771315,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"69","issue":"4","first_page":"813","last_page":"824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9986000061035156,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.7109874486923218},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5639646053314209},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5586094260215759},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4919273853302002},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4895504415035248},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4262775182723999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41571515798568726},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4089045226573944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37944936752319336},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19541212916374207},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18216624855995178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109874486923218},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5639646053314209},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5586094260215759},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4919273853302002},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4895504415035248},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4262775182723999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41571515798568726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4089045226573944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37944936752319336},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19541212916374207},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18216624855995178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tce.2023.3294832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3294832","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","raw_type":"journal-article"},{"id":"pmh:oai:espace2.etsmtl.ca:27276","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/27276/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article publi\u00e9 dans une revue, r\u00e9vis\u00e9 par les pairs"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1535533548","display_name":null,"funder_award_id":"IT13947","funder_id":"https://openalex.org/F4320322675","funder_display_name":"Mitacs"}],"funders":[{"id":"https://openalex.org/F4320322675","display_name":"Mitacs","ror":"https://ror.org/00cjrc276"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1985290376","https://openalex.org/W1998249936","https://openalex.org/W2000977662","https://openalex.org/W2072079297","https://openalex.org/W2086920995","https://openalex.org/W2115706991","https://openalex.org/W2120549790","https://openalex.org/W2165363188","https://openalex.org/W2172259000","https://openalex.org/W2192203593","https://openalex.org/W2288660273","https://openalex.org/W2468888837","https://openalex.org/W2489425858","https://openalex.org/W2509458022","https://openalex.org/W2522190652","https://openalex.org/W2747897719","https://openalex.org/W2886124254","https://openalex.org/W2911910187","https://openalex.org/W2963145597","https://openalex.org/W2963199294","https://openalex.org/W2963676935","https://openalex.org/W2964024268","https://openalex.org/W3003689553","https://openalex.org/W3007788310","https://openalex.org/W3037818400","https://openalex.org/W3045610411","https://openalex.org/W3083719185","https://openalex.org/W3104199277","https://openalex.org/W3108804658","https://openalex.org/W3133816032","https://openalex.org/W3161158047","https://openalex.org/W3162996531","https://openalex.org/W3194017222","https://openalex.org/W3210800143","https://openalex.org/W4280584445","https://openalex.org/W4289436733","https://openalex.org/W4292641077","https://openalex.org/W4312589859","https://openalex.org/W4312848595","https://openalex.org/W4322706626","https://openalex.org/W4362653097","https://openalex.org/W4372054852","https://openalex.org/W4378767342","https://openalex.org/W6678911119","https://openalex.org/W6755053738","https://openalex.org/W6755150206","https://openalex.org/W6758867260","https://openalex.org/W6758902322","https://openalex.org/W6774375107"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"Industry":[0],"5.0":[1],"refers":[2],"to":[3,22,42,54,94,164],"the":[4,52,71,77,90,96,99,135,147,151,167],"fifth":[5],"industrial":[6],"revolution":[7],"that":[8,176],"leverages":[9],"advanced":[10],"technologies":[11],"such":[12],"as":[13],"Internet":[14],"of":[15,98,130,137,146,150,187],"things":[16],"(IoT)":[17],"and":[18,26,30,38,50,61,83,182,192],"artificial":[19],"intelligence":[20],"(AI)":[21],"increase":[23],"efficiency,":[24],"productivity,":[25],"flexibility":[27],"in":[28,154,185],"manufacturing":[29],"other":[31],"industries.":[32],"Wireless":[33],"IoT":[34],"devices":[35],"help":[36],"collect":[37],"transmit":[39],"real-time":[40],"data":[41,53,72,78],"support":[43],"intelligent":[44],"decision-making,":[45],"while":[46],"AI":[47],"algorithms":[48],"process":[49],"analyze":[51],"optimize":[55],"production":[56],"processes,":[57],"predict":[58],"equipment":[59],"failure,":[60],"enhance":[62],"supply":[63],"chain":[64],"management.":[65],"To":[66],"achieve":[67],"efficient":[68],"integration":[69],"for":[70,112,119],"fused":[73],"by":[74,115],"various":[75],"sensors,":[76,87],"should":[79],"be":[80],"perfectly":[81],"synchronized":[82],"out-of-errors.":[84],"In":[85,104],"cellular-based":[86],"this":[88,105],"requires":[89],"base":[91],"station":[92],"(BS)":[93],"know":[95],"state":[97],"channel":[100],"at":[101],"each":[102],"node.":[103],"work,":[106],"we":[107,141],"propose":[108],"a":[109,120,127,143,160],"novel":[110],"method":[111,125],"CSI":[113],"compression":[114,131],"learning":[116],"an":[117],"approximation":[118],"sufficient":[121,138],"statistics":[122],"function.":[123],"Our":[124],"establishes":[126],"new":[128],"category":[129],"techniques":[132],"based":[133],"on":[134],"theory":[136],"statistics.":[139],"Moreover,":[140],"present":[142],"detailed":[144],"analysis":[145],"upper":[148],"bound":[149],"prediction":[152],"error":[153],"our":[155,177],"specific":[156],"scenario.":[157],"We":[158],"develop":[159],"Bayesian":[161],"optimization":[162],"framework":[163],"optimally":[165],"select":[166],"adopted":[168],"neural":[169],"network":[170],"architecture.":[171],"The":[172],"experimental":[173],"results":[174],"confirm":[175],"solution":[178],"outperforms":[179],"both":[180],"conventional":[181],"learning-based":[183],"solutions":[184],"terms":[186],"reconstruction":[188],"error,":[189],"model":[190],"size,":[191],"scalability.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
