{"id":"https://openalex.org/W4410227886","doi":"https://doi.org/10.1109/wcnc61545.2025.10978505","title":"LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning","display_name":"LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning","publication_year":2025,"publication_date":"2025-03-24","ids":{"openalex":"https://openalex.org/W4410227886","doi":"https://doi.org/10.1109/wcnc61545.2025.10978505"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc61545.2025.10978505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc61545.2025.10978505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5023632470","display_name":"Md Arafat Habib","orcid":"https://orcid.org/0000-0003-3823-2715"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Md Arafat Habib","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084225951","display_name":"Pedro Enrique Iturria-Rivera","orcid":"https://orcid.org/0000-0002-8757-2639"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pedro Enrique Iturria Rivera","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040949386","display_name":"Yigit Ozcan","orcid":"https://orcid.org/0000-0001-9258-4602"},"institutions":[{"id":"https://openalex.org/I4210094041","display_name":"Ericsson (Canada)","ror":"https://ror.org/00nas2c56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210094041"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yigit Ozcan","raw_affiliation_strings":["Ericsson Inc.,Ottawa,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ericsson Inc.,Ottawa,Canada","institution_ids":["https://openalex.org/I4210094041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049344765","display_name":"Medhat Elsayed","orcid":"https://orcid.org/0000-0002-1106-6078"},"institutions":[{"id":"https://openalex.org/I4210094041","display_name":"Ericsson (Canada)","ror":"https://ror.org/00nas2c56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210094041"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Medhat Elsayed","raw_affiliation_strings":["Ericsson Inc.,Ottawa,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ericsson Inc.,Ottawa,Canada","institution_ids":["https://openalex.org/I4210094041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000101528","display_name":"Majid Bavand","orcid":"https://orcid.org/0000-0002-8331-0033"},"institutions":[{"id":"https://openalex.org/I4210094041","display_name":"Ericsson (Canada)","ror":"https://ror.org/00nas2c56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210094041"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Majid Bavand","raw_affiliation_strings":["Ericsson Inc.,Ottawa,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ericsson Inc.,Ottawa,Canada","institution_ids":["https://openalex.org/I4210094041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094207496","display_name":"Raimundus Gaigalas","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":"Raimundus Gaigalas","raw_affiliation_strings":["Ericsson AB,Stockholm,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ericsson AB,Stockholm,Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089891162","display_name":"Melike Erol\u2010Kantarci","orcid":"https://orcid.org/0000-0001-6787-8457"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Melike Erol-Kantarci","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5023632470"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":35.6175,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.996731,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"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/T10320","display_name":"Neural Networks and Applications","score":0.7448999881744385,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.7448999881744385,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7578916549682617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7521647810935974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46801719069480896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3287106156349182}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7578916549682617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7521647810935974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46801719069480896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3287106156349182}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc61545.2025.10978505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc61545.2025.10978505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2061619365","https://openalex.org/W2955133642","https://openalex.org/W4283214234","https://openalex.org/W4290997040","https://openalex.org/W4323767311","https://openalex.org/W4327767959","https://openalex.org/W4381742210","https://openalex.org/W4387382605","https://openalex.org/W4388116962","https://openalex.org/W4389077350","https://openalex.org/W4401509024","https://openalex.org/W6703271639","https://openalex.org/W6755207826","https://openalex.org/W6768021236","https://openalex.org/W6809265136"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Intent-based":[0],"network":[1,10,44,51,104,179],"automation":[2,66],"is":[3,86,89],"a":[4,60,76,101,163,168,175],"promising":[5],"tool":[6],"that":[7,155],"enables":[8],"easier":[9],"management;":[11],"however,":[12],"certain":[13,118],"challenges":[14],"must":[15],"be":[16],"addressed":[17],"effectively.":[18],"These":[19],"are:":[20],"1)":[21],"processing":[22],"intents,":[23],"i.e.,":[24],"identification":[25],"of":[26,103,149],"logic":[27],"and":[28,46,126,174],"necessary":[29],"parameters":[30],"to":[31,39,63,145,182],"fulfill":[32],"an":[33,37,84,134,150],"intent,":[34],"2)":[35],"validating":[36],"intent":[38,85,148],"align":[40],"it":[41,88],"with":[42],"current":[43],"status,":[45],"3)":[47],"satisfying":[48],"intents":[49,72],"via":[50,59,75],"optimizing":[52],"applications.":[53],"This":[54],"paper":[55],"addresses":[56],"these":[57,140],"points":[58],"three-fold":[61],"strategy":[62],"introduce":[64],"intent-based":[65],"for":[67],"modern":[68],"5G":[69],"architectures.":[70],"First,":[71],"are":[73,142],"processed":[74],"lightweight":[77],"Large":[78],"Language":[79],"Model":[80],"(LLM).":[81],"Secondly,":[82],"once":[83],"processed,":[87],"validated":[90],"against":[91],"future":[92],"incoming":[93],"traffic":[94],"volume":[95],"profiles":[96],"(high":[97],"or":[98],"low).":[99],"Finally,":[100],"series":[102],"optimization":[105],"applications":[106,141],"has":[107],"been":[108],"developed.":[109],"With":[110],"their":[111],"machine":[112],"learning-based":[113],"functionalities,":[114],"they":[115],"can":[116,159],"improve":[117],"key":[119],"performance":[120],"indicators":[121],"such":[122],"as":[123],"throughput,":[124,167],"delay,":[125],"energy":[127,172],"efficiency.":[128],"In":[129],"the":[130,147,156,183],"final":[131],"stage,":[132],"using":[133],"attention-based":[135],"hierarchical":[136],"reinforcement":[137],"learning":[138],"algorithm,":[139],"optimally":[143],"initiated":[144],"satisfy":[146],"operator.":[151],"Our":[152],"simulations":[153],"show":[154],"proposed":[157],"method":[158],"achieve":[160],"at":[161],"least":[162],"12%":[164],"increase":[165,170],"in":[166,171,178],"17.1%":[169],"efficiency,":[173],"26.5%":[176],"decrease":[177],"delay":[180],"compared":[181],"baseline":[184],"algorithms.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
