{"id":"https://openalex.org/W4401509393","doi":"https://doi.org/10.1109/iccworkshops59551.2024.10615951","title":"Fault Detection in Mobile Networks Using Diffusion Models","display_name":"Fault Detection in Mobile Networks Using Diffusion Models","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4401509393","doi":"https://doi.org/10.1109/iccworkshops59551.2024.10615951"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops59551.2024.10615951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops59551.2024.10615951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications Workshops (ICC Workshops)","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/A5086177304","display_name":"Mohamad Nabeel","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Mohamad Nabeel","raw_affiliation_strings":["Global AI Accelerator,Ericsson,Sweden"],"affiliations":[{"raw_affiliation_string":"Global AI Accelerator,Ericsson,Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095094613","display_name":"Doumitrou Daniil Nimara","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Doumitrou Daniil Nimara","raw_affiliation_strings":["Global AI Accelerator,Ericsson,Sweden"],"affiliations":[{"raw_affiliation_string":"Global AI Accelerator,Ericsson,Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083588635","display_name":"Tahar Zanouda","orcid":"https://orcid.org/0009-0005-3646-600X"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tahar Zanouda","raw_affiliation_strings":["Global AI Accelerator,Ericsson,Sweden"],"affiliations":[{"raw_affiliation_string":"Global AI Accelerator,Ericsson,Sweden","institution_ids":["https://openalex.org/I1306339040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086177304"],"corresponding_institution_ids":["https://openalex.org/I1306339040"],"apc_list":null,"apc_paid":null,"fwci":0.7305,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7184774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"884","last_page":"889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9871000051498413,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9871000051498413,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9402999877929688,"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/T12127","display_name":"Software System Performance and Reliability","score":0.901199996471405,"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/computer-science","display_name":"Computer science","score":0.6279652714729309},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5822722911834717},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.42980796098709106},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18443259596824646},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07995548844337463},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.07763609290122986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6279652714729309},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5822722911834717},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.42980796098709106},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18443259596824646},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07995548844337463},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.07763609290122986},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccworkshops59551.2024.10615951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops59551.2024.10615951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications Workshops (ICC Workshops)","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":22,"referenced_works":["https://openalex.org/W2766761849","https://openalex.org/W2948517885","https://openalex.org/W3024446144","https://openalex.org/W3036167779","https://openalex.org/W3105931142","https://openalex.org/W3160228379","https://openalex.org/W4292753694","https://openalex.org/W4378942575","https://openalex.org/W4379538722","https://openalex.org/W4379958469","https://openalex.org/W4387195417","https://openalex.org/W4387687141","https://openalex.org/W4390343450","https://openalex.org/W4390660070","https://openalex.org/W4391557953","https://openalex.org/W4392409072","https://openalex.org/W6679045638","https://openalex.org/W6779823529","https://openalex.org/W6841916772","https://openalex.org/W6845025493","https://openalex.org/W6853698672","https://openalex.org/W6854319564"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0,83],"today's":[1],"hyper-connected":[2],"world,":[3],"ensuring":[4],"the":[5,30,66,70,75,110],"reliability":[6],"of":[7,32,69,79,121,129,146,174],"telecom":[8,33,35,49,94,141],"networks":[9,14,50,95],"becomes":[10],"increasingly":[11],"crucial.":[12],"Telecom":[13],"encompass":[15],"numerous":[16],"underlying":[17],"and":[18,21,37,51,55,74,77,177],"intertwined":[19],"software":[20],"hardware":[22,38],"components,":[23],"each":[24],"providing":[25],"different":[26],"functionalities.":[27],"To":[28],"ensure":[29],"stability":[31],"networks,":[34,142],"software,":[36],"vendors":[39],"developed":[40],"several":[41,103],"methods":[42],"to":[43,62,65,90,108,163,182],"detect":[44,91],"any":[45],"aberrant":[46],"behavior":[47],"in":[48,93,140],"enable":[52],"instant":[53],"feedback":[54],"alerts.":[56],"These":[57],"approaches,":[58],"although":[59],"powerful,":[60],"struggle":[61],"generalize":[63],"due":[64],"unsteady":[67],"nature":[68],"software-intensive":[71],"embedded":[72],"system":[73,89],"complexity":[76],"diversity":[78],"multi-standard":[80],"mobile":[81],"networks.":[82],"this":[84,122],"paper,":[85],"we":[86],"present":[87],"a":[88,97,130,147,160],"anomalies":[92],"using":[96,105,115],"generative":[98],"AI":[99],"model.":[100],"We":[101],"evaluate":[102],"strategies":[104],"diffusion":[106,134],"models":[107,135],"train":[109],"model":[111,150,167],"for":[112,132,136],"anomaly":[113,138],"detection":[114,139],"multivariate":[116],"time-series":[117,137],"data.":[118],"The":[119],"contributions":[120],"paper":[123],"are":[124],"threefold:":[125],"(i)":[126],"A":[127,144],"proposal":[128,145],"framework":[131],"utilizing":[133],"(ii)":[143],"particular":[148],"Diffusion":[149],"architecture":[151],"that":[152,165],"outperforms":[153],"other":[154],"state-of-the-art":[155],"techniques,":[156],"(iii)":[157],"Experiments":[158],"on":[159],"real-world":[161],"dataset":[162],"demonstrate":[164],"our":[166],"effectively":[168],"provides":[169],"explainable":[170],"results,":[171],"exposing":[172],"some":[173],"its":[175,184],"limitations":[176],"suggesting":[178],"future":[179],"research":[180],"avenues":[181],"enhance":[183],"capabilities":[185],"further.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}