{"id":"https://openalex.org/W4207012048","doi":"https://doi.org/10.1109/gcwkshps52748.2021.9681937","title":"Artificial Intelligence Enabled Self-healing for Mobile Network Automation","display_name":"Artificial Intelligence Enabled Self-healing for Mobile Network Automation","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4207012048","doi":"https://doi.org/10.1109/gcwkshps52748.2021.9681937"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps52748.2021.9681937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps52748.2021.9681937","pdf_url":null,"source":{"id":"https://openalex.org/S4363605397","display_name":"2021 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Globecom Workshops (GC Wkshps)","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/A5067642311","display_name":"Zeeshan Asghar","orcid":"https://orcid.org/0000-0002-1888-9931"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Muhammad Zeeshan Asghar","raw_affiliation_strings":["Aalto University, Finland","Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071159467","display_name":"Furqan Ahmed","orcid":"https://orcid.org/0000-0003-2999-4603"},"institutions":[{"id":"https://openalex.org/I2801699569","display_name":"Elisa (Finland)","ror":"https://ror.org/00tq8h369","country_code":"FI","type":"company","lineage":["https://openalex.org/I2801699569"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Furqan Ahmed","raw_affiliation_strings":["Elisa Corporation, Finland"],"affiliations":[{"raw_affiliation_string":"Elisa Corporation, Finland","institution_ids":["https://openalex.org/I2801699569"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051300130","display_name":"Jyri H\u00e4m\u00e4l\u00e4inen","orcid":"https://orcid.org/0000-0002-3305-2961"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jyri Hamalainen","raw_affiliation_strings":["Aalto University, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067642311"],"corresponding_institution_ids":["https://openalex.org/I94722563","https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":1.731,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84932588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9991000294685364,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9991000294685364,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9977999925613403,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9940999746322632,"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":0.6798598766326904},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6440010070800781},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5627245306968689},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.5112321376800537},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4864508807659149},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4686030149459839},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33222663402557373},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2306201159954071},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20928892493247986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20701628923416138}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798598766326904},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6440010070800781},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5627245306968689},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.5112321376800537},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4864508807659149},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4686030149459839},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33222663402557373},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2306201159954071},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20928892493247986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20701628923416138},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps52748.2021.9681937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps52748.2021.9681937","pdf_url":null,"source":{"id":"https://openalex.org/S4363605397","display_name":"2021 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328501","display_name":"Business Finland","ror":"https://ror.org/05bgf9v38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1986771536","https://openalex.org/W1996629303","https://openalex.org/W2034643337","https://openalex.org/W2098936723","https://openalex.org/W2136805669","https://openalex.org/W2336136854","https://openalex.org/W2510834888","https://openalex.org/W2543057790","https://openalex.org/W2562303667","https://openalex.org/W2611324438","https://openalex.org/W2783960081","https://openalex.org/W2963005464","https://openalex.org/W3088117115","https://openalex.org/W3131980335","https://openalex.org/W3134004344","https://openalex.org/W3182804783","https://openalex.org/W6728836825","https://openalex.org/W6730894644"],"related_works":["https://openalex.org/W2379084545","https://openalex.org/W2519676117","https://openalex.org/W2218202131","https://openalex.org/W84108837","https://openalex.org/W2365687337","https://openalex.org/W2358180351","https://openalex.org/W2155740880","https://openalex.org/W2392368077","https://openalex.org/W2131713426","https://openalex.org/W4253249845"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,91],"artificial":[4],"intelligence":[5],"enabled":[6],"self-healing":[7,117],"framework":[8,21,118,132],"for":[9],"cell":[10,27,30,79,93,150],"outage":[11,28,31,59,80,92,140,168],"detection":[12,60],"and":[13,33,46,145],"compensation":[14,81,88],"in":[15,38,72,141],"radio":[16],"access":[17],"networks.":[18],"The":[19,58,97,115],"developed":[20,116],"consists":[22],"of":[23,53,135,143],"three":[24],"modules,":[25],"namely":[26],"detection,":[29],"compensation,":[32],"continuous":[34,98],"optimization":[35,48,99],"that":[36],"work":[37],"closed-loop":[39],"to":[40,49,69,86,107],"detect":[41,70],"outages,":[42],"trigger":[43],"recovery":[44],"actions,":[45],"network":[47,74,109,123,164],"minimize":[50],"the":[51,73,78,108,131,139,149,163,167],"impact":[52],"outages":[54],"on":[55,64],"user":[56],"experience.":[57],"module":[61,82,100],"is":[62,101,119,133,156,169],"based":[63,126],"machine":[65],"learning":[66],"algorithms":[67],"aimed":[68],"anomalies":[71],"performance":[75,165],"data.":[76],"Likewise,":[77],"uses":[83],"fuzzy":[84],"logic":[85],"determine":[87],"actions":[89],"after":[90],"has":[94],"been":[95],"detected.":[96,170],"tasked":[102],"with":[103],"making":[104],"incremental":[105],"improvements":[106],"configuration":[110],"through":[111],"a":[112,122],"heuristic":[113],"approach.":[114],"validated":[120],"using":[121],"simulator":[124],"ns-3":[125],"test":[127],"environment.":[128],"Results":[129],"show":[130],"capable":[134],"fully":[136],"recovering":[137],"from":[138],"terms":[142],"accessibility":[144],"coverage.":[146],"In":[147],"addition,":[148],"edge":[151],"reference":[152],"signal":[153],"received":[154],"power":[155],"recovered":[157],"by":[158],"45%,":[159],"thereby":[160],"significantly":[161],"improving":[162],"once":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
