{"id":"https://openalex.org/W2997677787","doi":"https://doi.org/10.1109/jsyst.2019.2958993","title":"A Transfer Deep Q-Learning Framework for Resource Competition in Virtual Mobile Networks With Energy-Harvesting Base Stations","display_name":"A Transfer Deep Q-Learning Framework for Resource Competition in Virtual Mobile Networks With Energy-Harvesting Base Stations","publication_year":2019,"publication_date":"2019-12-25","ids":{"openalex":"https://openalex.org/W2997677787","doi":"https://doi.org/10.1109/jsyst.2019.2958993","mag":"2997677787"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2019.2958993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2958993","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-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/A5017988248","display_name":"Quang Vinh","orcid":"https://orcid.org/0000-0002-6899-2347"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Quang Vinh Do","raw_affiliation_strings":["School of Electrical Engineering, University of Ulsan, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6899-2347","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Ulsan, Ulsan, South Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082206251","display_name":"Insoo Koo","orcid":"https://orcid.org/0000-0001-7476-8782"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Insoo Koo","raw_affiliation_strings":["Electrical and Computer Engineering, University of Ulsan, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7476-8782","affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Ulsan, Ulsan, South Korea","institution_ids":["https://openalex.org/I40542001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40542001"],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":0.6629,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.6875996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"15","issue":"1","first_page":"319","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":1.0,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9972000122070312,"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/base-station","display_name":"Base station","score":0.7389217615127563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128013968467712},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.594195544719696},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.5509226322174072},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4732891917228699},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4593428075313568},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.45545947551727295},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4246545433998108},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4246140122413635},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4072226881980896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29535871744155884},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.1619674563407898}],"concepts":[{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.7389217615127563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128013968467712},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.594195544719696},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.5509226322174072},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4732891917228699},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4593428075313568},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.45545947551727295},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4246545433998108},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4246140122413635},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4072226881980896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29535871744155884},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.1619674563407898},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2019.2958993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2958993","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1967715173","https://openalex.org/W2011581446","https://openalex.org/W2020081405","https://openalex.org/W2028349553","https://openalex.org/W2075557304","https://openalex.org/W2080555506","https://openalex.org/W2090060441","https://openalex.org/W2108756032","https://openalex.org/W2132712787","https://openalex.org/W2145339207","https://openalex.org/W2165698076","https://openalex.org/W2167407217","https://openalex.org/W2201581102","https://openalex.org/W2226306742","https://openalex.org/W2236026958","https://openalex.org/W2527440558","https://openalex.org/W2563717093","https://openalex.org/W2612386806","https://openalex.org/W2756144809","https://openalex.org/W2789911982","https://openalex.org/W2887485608","https://openalex.org/W2898652425","https://openalex.org/W2898754723","https://openalex.org/W2900804979","https://openalex.org/W2939348587","https://openalex.org/W2963079995","https://openalex.org/W2963477884","https://openalex.org/W2964121744","https://openalex.org/W3099777025","https://openalex.org/W6631190155","https://openalex.org/W6687681856"],"related_works":["https://openalex.org/W2808418668","https://openalex.org/W2303288554","https://openalex.org/W3033750547","https://openalex.org/W2029216794","https://openalex.org/W4386698331","https://openalex.org/W2047225036","https://openalex.org/W2138314731","https://openalex.org/W2029263917","https://openalex.org/W2357975469","https://openalex.org/W2093207996"],"abstract_inverted_index":{"This":[0],"article":[1],"considers":[2],"the":[3,47,59,73,86,95,102,112,122,126,132,144,160,167,176,180,190,193],"problem":[4,87],"of":[5,75,162,179,192],"resource":[6,61,81,109],"sharing":[7],"in":[8,67,170],"a":[9,34,65,89,117],"virtual":[10,20],"mobile":[11,21,35],"network":[12,36],"with":[13,46,98,131,151],"energy-harvesting":[14],"base":[15],"stations":[16],"(BSs),":[17],"where":[18],"several":[19],"operators":[22],"(VMOs)":[23],"lease":[24],"radio":[25,28,103],"resources":[26,104],"(e.g.,":[27],"channels":[29],"and":[30,80,154],"green":[31],"BSs)":[32],"from":[33],"owner":[37],"(MNO).":[38],"The":[39],"VMOs":[40,96],"want":[41],"to":[42,57,69,111,142,173,188],"provide":[43],"subscribed":[44],"users":[45],"best":[48],"performance":[49,191],"while":[50],"ensuring":[51],"minimal":[52],"leasing":[53,62],"costs.":[54],"We":[55,83,157],"aim":[56],"find":[58,125],"optimal":[60,127],"scheme":[63,195],"for":[64,101],"VMO":[66,123],"order":[68],"maximize":[70],"utility":[71],"within":[72],"uncertainties":[74],"harvested":[76],"energy,":[77],"request":[78],"arrivals,":[79],"prices.":[82],"first":[84],"formulate":[85],"as":[88],"Markov":[90],"decision":[91],"process,":[92],"during":[93],"which":[94,147,165],"compete":[97],"each":[99],"other":[100],"by":[105,129],"dynamically":[106],"announcing":[107],"their":[108],"requirements":[110],"MNO.":[113],"We,":[114],"then,":[115],"employ":[116,159],"deep":[118],"Q-learning":[119],"algorithm":[120],"so":[121],"can":[124,148],"solution":[128],"interacting":[130],"environment.":[133],"With":[134],"this":[135],"algorithm,":[136],"artificial":[137],"neural":[138],"networks":[139],"are":[140],"used":[141],"approximate":[143],"Q-value":[145],"function,":[146],"work":[149],"effectively":[150],"large":[152],"state":[153],"action":[155],"spaces.":[156],"further":[158],"idea":[161],"transfer":[163],"learning,":[164],"exploits":[166],"strategies":[168],"learned":[169],"historical":[171],"periods":[172],"speed":[174],"up":[175],"learning":[177],"process":[178],"target":[181],"task.":[182],"Finally,":[183],"we":[184],"present":[185],"comprehensive":[186],"simulations":[187],"evaluate":[189],"proposed":[194],"under":[196],"various":[197],"configurations.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
