{"id":"https://openalex.org/W7138106099","doi":"https://doi.org/10.48550/arxiv.2603.15242","title":"SliceMapper: Intelligent Mapping of O-CU and O-DU onto O-Cloud Sites in 6G O-RAN","display_name":"SliceMapper: Intelligent Mapping of O-CU and O-DU onto O-Cloud Sites in 6G O-RAN","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138106099","doi":"https://doi.org/10.48550/arxiv.2603.15242"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15242","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.15242","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013819636","display_name":"Mohammad Asif Habibi","orcid":"https://orcid.org/0000-0001-9874-0047"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Habibi, Mohammad Asif","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108778492","display_name":"Xavier Costa-P\u00e9rez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Costa-P\u00e9rez, Xavier","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129737203","display_name":"Hans D. Schotten","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schotten, Hans D.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013819636"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.8442000150680542,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.8442000150680542,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.06199999898672104,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.013000000268220901,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subnet","display_name":"Subnet","score":0.8510000109672546},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6747000217437744},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5314000248908997},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5313000082969666},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5113000273704529},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.446399986743927},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.41690000891685486},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.3481999933719635}],"concepts":[{"id":"https://openalex.org/C21099817","wikidata":"https://www.wikidata.org/wiki/Q7631721","display_name":"Subnet","level":2,"score":0.8510000109672546},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6747000217437744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434000134468079},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5314000248908997},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5313000082969666},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5113000273704529},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.446399986743927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4185999929904938},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37619999051094055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3506999909877777},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.3481999933719635},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27950000762939453},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2612000107765198},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15242","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.15242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15242","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7491580843925476}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1,78],"paper,":[2],"we":[3,48,62,80,110,176],"propose":[4],"an":[5,26],"rApp,":[6],"named":[7],"SliceMapper,":[8],"to":[9],"optimize":[10],"the":[11,15,35,64,88,105,135,141,157,178],"mapping":[12,65],"process":[13,66],"of":[14,25,87,107,114,127,146,170],"open":[16,21,27,37],"centralized":[17],"unit":[18,23],"(O-CU)":[19],"and":[20,56,84,148,159,172,180],"distributed":[22],"(O-DU)":[24],"radio":[28],"access":[29],"network":[30],"(O-RAN)":[31],"slice":[32],"subnet":[33],"onto":[34],"underlying":[36],"cloud":[38],"(O-Cloud)":[39],"sites":[40],"in":[41,144],"sixth-generation":[42],"(6G)":[43],"O-RAN.":[44],"To":[45,76,103],"accomplish":[46],"this,":[47],"first":[49],"design":[50],"a":[51,71,112,124],"system":[52],"model":[53],"for":[54,100,184],"SliceMapper":[55,69],"introduce":[57,181],"its":[58],"mathematical":[59],"framework.":[60],"Next,":[61],"formulate":[63],"addressed":[67],"by":[68,122],"as":[70,94,96],"sequential":[72],"decision-making":[73],"optimization":[74],"problem.":[75],"solve":[77],"problem,":[79],"implement":[81],"both":[82],"on-policy":[83,136,158],"off-policy":[85,160],"variants":[86],"Q-learning":[89],"algorithm,":[90],"employing":[91],"tabular":[92,161],"representation":[93,162],"well":[95],"function":[97,137],"approximation":[98,138],"methods":[99,163],"each":[101],"variant.":[102],"evaluate":[104],"effectiveness":[106],"these":[108],"approaches,":[109],"conduct":[111],"series":[113],"simulations":[115],"under":[116],"various":[117],"scenarios.":[118],"We":[119],"proceed":[120],"further":[121],"performing":[123],"comparative":[125],"analysis":[126],"all":[128,153],"four":[129],"variants.":[130],"The":[131],"results":[132],"demonstrate":[133],"that":[134],"method":[139],"outperforms":[140],"alternative":[142],"approaches":[143],"terms":[145],"stability":[147],"lower":[149],"standard":[150],"deviation":[151],"across":[152],"random":[154],"seeds.":[155],"However,":[156],"achieve":[164],"higher":[165],"average":[166],"rewards,":[167],"with":[168],"values":[169],"5.42":[171],"5.12,":[173],"respectively.":[174],"Finally,":[175],"conclude":[177],"paper":[179],"several":[182],"directions":[183],"future":[185],"research.":[186]},"counts_by_year":[],"updated_date":"2026-03-18T06:31:55.123368","created_date":"2026-03-18T00:00:00"}
