{"id":"https://openalex.org/W4400727330","doi":"https://doi.org/10.1109/iwcmc61514.2024.10592524","title":"Conflict Management based on Deep Reinforcement Learning for Edge Computing in Intent-Driven Networks","display_name":"Conflict Management based on Deep Reinforcement Learning for Edge Computing in Intent-Driven Networks","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4400727330","doi":"https://doi.org/10.1109/iwcmc61514.2024.10592524"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc61514.2024.10592524","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwcmc61514.2024.10592524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Wireless Communications and Mobile Computing (IWCMC)","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/A5100332553","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0001-7751-485X"},"institutions":[{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]},{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Li","raw_affiliation_strings":["China Telecom Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Telecom Research Institute,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007552613","display_name":"Jialong Gong","orcid":"https://orcid.org/0009-0007-2299-9061"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialong Gong","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115591847","display_name":"Dong Wang","orcid":"https://orcid.org/0009-0007-0760-8165"},"institutions":[{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]},{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["China Telecom Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Telecom Research Institute,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100332553"],"corresponding_institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"],"apc_list":null,"apc_paid":null,"fwci":0.3663,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58978711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9448000192642212,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9448000192642212,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7899422645568848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6804770827293396},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5347840785980225},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5086637139320374},{"id":"https://openalex.org/keywords/conflict-management","display_name":"Conflict management","score":0.47698622941970825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40345025062561035},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37419891357421875},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10555040836334229}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7899422645568848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804770827293396},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5347840785980225},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5086637139320374},{"id":"https://openalex.org/C2779683958","wikidata":"https://www.wikidata.org/wiki/Q1640893","display_name":"Conflict management","level":2,"score":0.47698622941970825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40345025062561035},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37419891357421875},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10555040836334229},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc61514.2024.10592524","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwcmc61514.2024.10592524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Wireless Communications and Mobile Computing (IWCMC)","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":24,"referenced_works":["https://openalex.org/W2100677568","https://openalex.org/W2521876175","https://openalex.org/W2724169821","https://openalex.org/W2738449735","https://openalex.org/W2751904527","https://openalex.org/W2761873684","https://openalex.org/W2808381205","https://openalex.org/W2896457183","https://openalex.org/W2956490995","https://openalex.org/W2972047422","https://openalex.org/W3015366655","https://openalex.org/W3204028459","https://openalex.org/W4205640019","https://openalex.org/W4312898021","https://openalex.org/W4313144683","https://openalex.org/W4320015874","https://openalex.org/W4323022502","https://openalex.org/W4381162689","https://openalex.org/W4381734376","https://openalex.org/W4386360572","https://openalex.org/W6685444567","https://openalex.org/W6687681856","https://openalex.org/W6740092555","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"In":[0,18,56],"recent":[1],"years,":[2],"the":[3,13,29,50,66,71,82,86,103,113,135,143,152],"Intent-driven":[4],"Network":[5,105],"(IBN)":[6],"has":[7],"been":[8],"proposed":[9,98,153],"to":[10,34,85,133],"further":[11],"enhance":[12],"intelligence":[14],"of":[15,40,137,146],"communication":[16],"systems.":[17],"IBN,":[19],"users":[20,67],"can":[21,43],"express":[22],"their":[23],"resource":[24,32,115,138],"expectations":[25],"through":[26],"intents":[27,147],"while":[28],"IBN":[30,47,83],"performs":[31],"scheduling":[33],"fulfill":[35],"these":[36],"intents.":[37],"Many":[38],"challenges":[39],"complex":[41],"networks":[42],"be":[44],"tackled":[45],"by":[46,65,111],"such":[48],"as":[49,118],"mobile":[51],"edge":[52],"computing":[53,61,114],"(MEC)":[54],"system.":[55],"a":[57,119],"MEC":[58,87],"system,":[59,88],"limited":[60],"resources":[62],"are":[63],"competed":[64],"which":[68],"may":[69],"cause":[70],"intent":[72,91,154],"conflict.":[73],"To":[74],"solve":[75],"this,":[76],"in":[77,151],"this":[78],"paper,":[79],"we":[80,125],"introduce":[81],"concept":[84],"where":[89],"an":[90,127],"conflict":[92,116,155],"detection":[93],"module":[94,99],"is":[95,100,148],"proposed.":[96],"The":[97],"based":[101],"on":[102],"Open":[104],"Automation":[106],"Platform":[107],"(ONAP)":[108],"architecture.":[109],"Moreover,":[110],"formulating":[112],"problem":[117],"Markov":[120],"decision":[121],"process":[122],"(MDP)":[123],"model,":[124],"employ":[126],"improved":[128],"deep":[129],"Q-network":[130],"(DQN)":[131],"algorithm":[132],"improve":[134],"efficiency":[136],"utilization.":[139],"Simulation":[140],"results":[141],"demonstrate":[142],"completion":[144],"time":[145],"remarkably":[149],"reduced":[150],"resolution":[156],"scheme.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}