{"id":"https://openalex.org/W7165619047","doi":"https://doi.org/10.48550/arxiv.2606.20590","title":"Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks","display_name":"Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7165619047","doi":"https://doi.org/10.48550/arxiv.2606.20590"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.20590","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.20590","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.20590","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101411799","display_name":"Chaoqun You","orcid":"https://orcid.org/0000-0003-3495-7305"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"You, Chaoqun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009617425","display_name":"Yueyue Dai","orcid":"https://orcid.org/0000-0002-2163-987X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Yueyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063783582","display_name":"Xingqiu He","orcid":"https://orcid.org/0000-0002-0582-2287"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Xingqiu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139135921","display_name":"Yue Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Yue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139154885","display_name":"Rahim Tafazolli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tafazolli, Rahim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139203282","display_name":"Yong Liang Guan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guan, Yong Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":0.4097999930381775,"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":0.4097999930381775,"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":0.2888999879360199,"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":0.08630000054836273,"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/flexibility","display_name":"Flexibility (engineering)","score":0.567300021648407},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5627999901771545},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5475000143051147},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.43160000443458557},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.42879998683929443},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4065999984741211},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.3878999948501587},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.38760000467300415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882999777793884},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.567300021648407},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5627999901771545},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5475000143051147},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5131999850273132},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.43160000443458557},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41769999265670776},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3698999881744385},{"id":"https://openalex.org/C106365562","wikidata":"https://www.wikidata.org/wiki/Q3078360","display_name":"Radio access network","level":4,"score":0.3675999939441681},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3138999938964844},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.2921000123023987},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.20590","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.20590","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.20590","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.20590","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"physical":[1],"resource":[2,104,181],"block":[3],"(PRB)":[4],"allocation":[5,85,105,182],"in":[6,42],"Radio":[7],"Access":[8],"Networks":[9],"(RANs)":[10],"traditionally":[11],"relies":[12],"on":[13],"case-by-case":[14],"manual":[15,59],"problem":[16,86],"construction":[17],"or,":[18],"more":[19],"recently,":[20],"learning-based":[21],"artificial":[22],"intelligence":[23],"(AI)":[24],"methods.":[25],"However,":[26],"the":[27,69,83,140,167],"sixth-generation":[28],"(6G)":[29],"RAN":[30,103],"environments":[31],"confront":[32],"unprecedented":[33],"service":[34],"diversity":[35],"and":[36,49,61,73,114,131],"exponential":[37],"dynamics,":[38],"featuring":[39],"volatile":[40],"fluctuations":[41],"active":[43],"base":[44],"stations":[45],"(BSs),":[46],"user":[47],"scale,":[48],"stringent":[50],"Quality-of-Service":[51],"(QoS)":[52],"requirements.":[53],"Faced":[54],"with":[55,183],"such":[56],"conditions,":[57],"both":[58],"models":[60],"standard":[62],"AI":[63],"algorithms":[64],"remain":[65],"fundamentally":[66,101],"rigid,":[67],"lacking":[68],"flexibility":[70],"to":[71,109,119,158],"adapt":[72],"self-evolve.":[74],"To":[75,138],"provide":[76],"a":[77,93,148,154],"one-size-fits-all":[78],"solution,":[79],"we":[80,146],"propose":[81],"treating":[82],"PRB":[84],"as":[87],"an":[88],"Optimization-as-a-Service":[89],"(OaaS)":[90],"provided":[91],"by":[92,106],"large":[94],"language":[95],"model":[96,157],"multi-agent":[97],"(LLM-MA)":[98],"system.":[99],"This":[100],"reshapes":[102],"utilizing":[107],"agents":[108],"dynamically":[110],"construct":[111],"optimization":[112],"problems":[113],"automatically":[115],"determine":[116],"objectives":[117],"tailored":[118],"real-time":[120],"scenarios.":[121],"Our":[122],"closed-loop":[123],"architecture,":[124],"integrating":[125],"scene":[126],"understanding,":[127],"objective":[128,162],"generation,":[129],"solver,":[130],"reflection":[132,150],"agents,":[133],"enables":[134],"context-aware,":[135],"self-correcting":[136],"formulation.":[137],"eliminate":[139],"computational":[141],"latency":[142],"of":[143,170],"iterative":[144],"reflection,":[145],"introduce":[147],"one-shot":[149,172],"distillation":[151],"mechanism,":[152],"training":[153],"lightweight":[155],"student":[156],"directly":[159],"predict":[160],"refined":[161],"parameters.":[163],"We":[164],"theoretically":[165],"bound":[166],"performance":[168],"gap":[169],"this":[171],"policy.":[173],"Experimental":[174],"results":[175],"demonstrate":[176],"our":[177],"framework":[178],"achieves":[179],"near-optimal":[180],"ultra-low":[184],"inference":[185],"latency.":[186]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-24T00:00:00"}