{"id":"https://openalex.org/W2997505143","doi":"https://doi.org/10.1109/jsyst.2019.2958890","title":"Resources Sharing in 5G Networks: Learning-Enabled Incentives and Coalitional Games","display_name":"Resources Sharing in 5G Networks: Learning-Enabled Incentives and Coalitional Games","publication_year":2019,"publication_date":"2019-12-31","ids":{"openalex":"https://openalex.org/W2997505143","doi":"https://doi.org/10.1109/jsyst.2019.2958890","mag":"2997505143"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2019.2958890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2958890","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/A5100739349","display_name":"Li Yu","orcid":"https://orcid.org/0000-0002-5060-2558"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Yu","raw_affiliation_strings":["School of Computer Science, Wuhan University, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066247159","display_name":"Zongpeng Li","orcid":"https://orcid.org/0000-0001-5351-2075"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongpeng Li","raw_affiliation_strings":["School of Computer Science, Wuhan University, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039311485","display_name":"Jiangchuan Liu","orcid":"https://orcid.org/0000-0001-6592-1984"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiangchuan Liu","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Burnaby(Metro-Vancouver), BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Burnaby(Metro-Vancouver), BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024396134","display_name":"Ruiting Zhou","orcid":"https://orcid.org/0000-0001-9681-6482"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiting Zhou","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100739349"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":3.7306,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94296341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"1","first_page":"226","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.988099992275238,"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/computer-science","display_name":"Computer science","score":0.7729753255844116},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.613632321357727},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.5174744129180908},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5081207752227783},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4703882932662964},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.4477505683898926},{"id":"https://openalex.org/keywords/potential-game","display_name":"Potential game","score":0.4355659782886505},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4338856637477875},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4253511428833008},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.4233907461166382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32983553409576416},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2769033908843994},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24673572182655334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7729753255844116},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.613632321357727},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5174744129180908},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5081207752227783},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4703882932662964},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.4477505683898926},{"id":"https://openalex.org/C2778079155","wikidata":"https://www.wikidata.org/wiki/Q288500","display_name":"Potential game","level":3,"score":0.4355659782886505},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4338856637477875},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4253511428833008},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.4233907461166382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32983553409576416},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2769033908843994},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24673572182655334},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2019.2958890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2958890","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":[{"id":"https://openalex.org/G5959613147","display_name":null,"funder_award_id":"61502504","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8912150218","display_name":null,"funder_award_id":"61628209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8967364556","display_name":null,"funder_award_id":"2016CFA030","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1983523797","https://openalex.org/W2046376809","https://openalex.org/W2089633275","https://openalex.org/W2145339207","https://openalex.org/W2165150801","https://openalex.org/W2201581102","https://openalex.org/W2206263511","https://openalex.org/W2259258048","https://openalex.org/W2338351427","https://openalex.org/W2343505381","https://openalex.org/W2550020748","https://openalex.org/W2566767539","https://openalex.org/W2590101842","https://openalex.org/W2594560857","https://openalex.org/W2617931713","https://openalex.org/W2738113351","https://openalex.org/W2746390786","https://openalex.org/W2748166927","https://openalex.org/W2754596546","https://openalex.org/W2761694337","https://openalex.org/W2764227489","https://openalex.org/W2767359317","https://openalex.org/W2788005034","https://openalex.org/W2788658053","https://openalex.org/W2791226733","https://openalex.org/W2792088344","https://openalex.org/W2792111770","https://openalex.org/W2792645523","https://openalex.org/W2793875774","https://openalex.org/W2793925626","https://openalex.org/W2799547155","https://openalex.org/W2824027552","https://openalex.org/W2848396525","https://openalex.org/W2888845630","https://openalex.org/W2962788286","https://openalex.org/W2962828794","https://openalex.org/W2963058385","https://openalex.org/W2963477884","https://openalex.org/W2963549123","https://openalex.org/W2963864421","https://openalex.org/W3105970889","https://openalex.org/W3106445841","https://openalex.org/W4302570325","https://openalex.org/W6684205842","https://openalex.org/W6684921986","https://openalex.org/W6687681856","https://openalex.org/W6744071598","https://openalex.org/W6748239807"],"related_works":["https://openalex.org/W4312141693","https://openalex.org/W1969185016","https://openalex.org/W1536009559","https://openalex.org/W2037619003","https://openalex.org/W2111030377","https://openalex.org/W2528338391","https://openalex.org/W2126431628","https://openalex.org/W2923452570","https://openalex.org/W2034088638","https://openalex.org/W2103821767"],"abstract_inverted_index":{"Smart":[0],"systems":[1],"are":[2,54,93],"often":[3],"battery-constrained,":[4],"and":[5,44,63,90,151,155,160,174],"compete":[6],"for":[7,30,117],"resources":[8],"from":[9],"remote":[10],"clouds,":[11],"which":[12,60],"results":[13],"in":[14,22,56,121],"high":[15],"delay.":[16],"Collaboratively":[17],"sharing":[18],"resource":[19],"among":[20],"neighbors":[21],"proximity":[23],"is":[24,102,111,132,145],"promising":[25],"to":[26,65,149,178],"control":[27],"such":[28],"delay":[29],"time-sensitive":[31],"applications.":[32],"Rather":[33],"few":[34],"existing":[35],"studies":[36,162],"focus":[37],"on":[38],"the":[39,67,71,84,88,97,122,127,129,137,153,165,171],"design":[40],"between":[41],"ubiquitous":[42],"cooperation":[43,62,154],"competition":[45,64,156],"with":[46,74,113,141],"learning-enable":[47],"incentives.":[48],"In":[49],"this":[50],"article,":[51],"intelligent":[52],"algorithms":[53,167],"introduced":[55],"a":[57,105,114,179],"distributed":[58],"fashion,":[59],"encapsulates":[61],"coordinate":[66],"overall":[68],"goal":[69],"of":[70,77,79,87],"cellular":[72],"system":[73],"individual":[75],"goals":[76],"Internet":[78],"Things":[80],"(IoT)":[81],"devices.":[82],"First,":[83],"utility":[85],"function":[86],"cell":[89],"IoT":[91],"users":[92],"designed,":[94],"respectively.":[95],"For":[96,126],"former,":[98],"an":[99],"incentive":[100],"mechanism":[101],"constructed,":[103],"where":[104],"novel":[106],"deep":[107,142],"actor-critic":[108],"learning":[109],"algorithm":[110],"developed":[112],"prioritized":[115],"queue":[116],"continuous":[118],"action":[119],"space":[120],"differentiated":[123],"decision-making":[124],"procedure.":[125],"latter,":[128],"energy":[130],"model":[131,150],"taken":[133],"into":[134],"account.":[135],"Furthermore,":[136],"coalition":[138],"game":[139],"combined":[140],"Q-learning":[143],"framework":[144],"explored":[146],"so":[147],"as":[148],"incentivize":[152],"process.":[157],"Theoretical":[158],"analysis":[159],"simulation":[161],"demonstrate":[163],"that":[164],"improved":[166],"perform":[168],"better":[169],"than":[170],"original":[172],"version,":[173],"they":[175],"can":[176],"converge":[177],"Nash-stable":[180],"optimal":[181,184],"or":[182],"asymptotically":[183],"solution.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}