{"id":"https://openalex.org/W4406266279","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757998","title":"Deep Learning based Multi-objective Admission Control: A Novel O-RAN Compliant Approach","display_name":"Deep Learning based Multi-objective Admission Control: A Novel O-RAN Compliant Approach","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4406266279","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757998"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-fall63153.2024.10757998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","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/A5028126086","display_name":"Marwan Mansour","orcid":"https://orcid.org/0000-0001-7166-0063"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marwan Mansour","raw_affiliation_strings":["Telco Engineering EG,Dell Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telco Engineering EG,Dell Technologies","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009259666","display_name":"Umair Sajid Hashmi","orcid":"https://orcid.org/0000-0001-8704-7132"},"institutions":[{"id":"https://openalex.org/I4210149435","display_name":"DELL (United States)","ror":"https://ror.org/05rejmm18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210149435"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Umair Sajid Hashmi","raw_affiliation_strings":["CTO Office,Dell Technologies,CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTO Office,Dell Technologies,CA","institution_ids":["https://openalex.org/I4210149435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011930319","display_name":"Jeebak Mitra","orcid":"https://orcid.org/0000-0003-4568-2589"},"institutions":[{"id":"https://openalex.org/I4210149435","display_name":"DELL (United States)","ror":"https://ror.org/05rejmm18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210149435"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeebak Mitra","raw_affiliation_strings":["CTO Office,Dell Technologies,CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTO Office,Dell Technologies,CA","institution_ids":["https://openalex.org/I4210149435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115842100","display_name":"Zeyad Abdelrahim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeyad Abdelrahim","raw_affiliation_strings":["Telco Engineering EG,Dell Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telco Engineering EG,Dell Technologies","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hala Hamdy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hala Hamdy","raw_affiliation_strings":["Telco Engineering EG,Dell Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telco Engineering EG,Dell Technologies","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063531223","display_name":"Mina S. Khalaf","orcid":"https://orcid.org/0009-0007-9095-3348"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mina Khalaf","raw_affiliation_strings":["Telco Engineering EG,Dell Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telco Engineering EG,Dell Technologies","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003319192","display_name":"Omar Nael","orcid":"https://orcid.org/0000-0002-4952-4839"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Omar Nael","raw_affiliation_strings":["Telco Engineering EG,Dell Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telco Engineering EG,Dell Technologies","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039775291","display_name":"Gwenael Poitau","orcid":"https://orcid.org/0000-0002-3675-4176"},"institutions":[{"id":"https://openalex.org/I4210149435","display_name":"DELL (United States)","ror":"https://ror.org/05rejmm18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210149435"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gwenael Poitau","raw_affiliation_strings":["CTO Office,Dell Technologies,CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTO Office,Dell Technologies,CA","institution_ids":["https://openalex.org/I4210149435"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042866187","display_name":"Mohamed Zeid","orcid":"https://orcid.org/0000-0002-2378-099X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Abouzeid","raw_affiliation_strings":["Telco Engineering EG,Dell Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telco Engineering EG,Dell Technologies","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27884792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.6869999766349792,"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":0.6869999766349792,"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":0.6700000166893005,"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/ran","display_name":"Ran","score":0.8765453100204468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6916698217391968},{"id":"https://openalex.org/keywords/c-ran","display_name":"C-RAN","score":0.584237813949585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.517649233341217},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46818792819976807},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46676111221313477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32953476905822754},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2378099262714386},{"id":"https://openalex.org/keywords/radio-access-network","display_name":"Radio access network","score":0.13432037830352783}],"concepts":[{"id":"https://openalex.org/C160704184","wikidata":"https://www.wikidata.org/wiki/Q18031028","display_name":"Ran","level":2,"score":0.8765453100204468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916698217391968},{"id":"https://openalex.org/C2779765720","wikidata":"https://www.wikidata.org/wiki/Q5005908","display_name":"C-RAN","level":5,"score":0.584237813949585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517649233341217},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46818792819976807},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46676111221313477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32953476905822754},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2378099262714386},{"id":"https://openalex.org/C106365562","wikidata":"https://www.wikidata.org/wiki/Q3078360","display_name":"Radio access network","level":4,"score":0.13432037830352783},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.0},{"id":"https://openalex.org/C207029474","wikidata":"https://www.wikidata.org/wiki/Q384018","display_name":"Mobile station","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-fall63153.2024.10757998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2885627391","https://openalex.org/W4401508502","https://openalex.org/W4324323655","https://openalex.org/W2922954044","https://openalex.org/W3037103914","https://openalex.org/W1982654631","https://openalex.org/W3018338683","https://openalex.org/W3197340217","https://openalex.org/W4389104756","https://openalex.org/W4288060126"],"abstract_inverted_index":{"Significant":[0],"advances":[1],"in":[2,218],"wireless":[3],"network":[4,36,61,71,84,96,127],"technologies":[5,97],"have":[6,63],"given":[7,113],"rise":[8],"to":[9,53,89,111,125,148,183,189],"use":[10],"cases":[11],"with":[12],"unprecedented":[13],"data":[14],"rates,":[15],"number":[16,119,152],"of":[17,29,45,56,69,77,93,115,120,153,159,161,165],"devices":[18],"as":[19,21],"well":[20],"low-latency":[22],"constraints":[23,164],"that":[24,35,101,122,144,199],"thrive":[25],"on":[26],"such":[27],"agility":[28],"networks.":[30,57],"However,":[31],"it":[32,98],"also":[33],"means":[34],"management":[37],"through":[38,67,74,128],"appropriate":[39,185],"resource":[40],"allocation,":[41],"coverage,":[42],"and":[43,73,117,138,206],"continuity":[44],"connection":[46],"has":[47],"become":[48],"significantly":[49],"more":[50],"challenging":[51],"compared":[52],"previous":[54],"generations":[55],"More":[58],"recently,":[59],"disaggregated":[60],"architectures":[62],"received":[64],"increased":[65],"attention":[66],"virtualization":[68],"important":[70],"functions":[72],"the":[75,91,108,118,126,150,166,174,204,214],"promise":[76],"significant":[78],"value":[79],"creation":[80],"leveraging":[81,178],"data-driven":[82,146],"intelligent":[83,129,201],"control":[85,131,142],"policies.":[86],"In":[87,133],"order":[88],"leverage":[90],"benefits":[92],"those":[94],"versatile":[95],"is":[99,171],"imperative":[100],"a":[102,112],"fine":[103],"balance":[104],"be":[105],"maintained":[106],"between":[107,203],"resources":[109],"allocated":[110],"set":[114],"users":[116,121,154],"gain":[123],"access":[124],"admission":[130,141],"(AC).":[132],"this":[134],"work,":[135],"we":[136,211],"propose":[137],"evaluate":[139],"an":[140,191],"policy":[143],"leverages":[145],"optimization":[147],"admit":[149],"maximum":[151],"while":[155,221],"being":[156],"acutely":[157],"aware":[158],"quality":[160],"service":[162],"(QoS)":[163],"users.":[167],"This":[168],"novel":[169],"approach":[170],"achieved":[172],"within":[173],"emerging":[175],"O-RAN":[176],"framework":[177],"RAN":[179],"Intelligent":[180],"Controllers":[181],"(RICs)":[182],"recommend":[184],"policies":[186],"enabling":[187],"operators":[188],"maintain":[190],"efficient":[192],"operating":[193],"network.":[194],"Our":[195],"simulation":[196],"results":[197],"show":[198],"by":[200,216],"tradeoff":[202],"QoS":[205],"incoming":[207],"UE":[208],"request":[209],"rejections,":[210],"can":[212],"reduce":[213],"rejections":[215],"2-3x":[217],"congested":[219],"networks":[220],"maintaining":[222],"acceptable":[223],"QoS.":[224]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}