{"id":"https://openalex.org/W3019982630","doi":"https://doi.org/10.1109/lcomm.2020.2988817","title":"Reinforcement Learning Based Adaptive Resource Allocation for Wireless Powered Communication Systems","display_name":"Reinforcement Learning Based Adaptive Resource Allocation for Wireless Powered Communication Systems","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3019982630","doi":"https://doi.org/10.1109/lcomm.2020.2988817","mag":"3019982630"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2020.2988817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2020.2988817","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5028237781","display_name":"Jae\u2010Mo Kang","orcid":"https://orcid.org/0000-0002-8181-5994"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jae-Mo Kang","raw_affiliation_strings":["Department of Artificial Intelligence, Kyungpook National University, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028237781"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":1.3479,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.80537717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"24","issue":"8","first_page":"1752","last_page":"1756"},"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":0.9994999766349792,"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/T11249","display_name":"Wireless Power Transfer Systems","score":0.9977999925613403,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8400298357009888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8101661205291748},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.7689411640167236},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6564619541168213},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.6183281540870667},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5403410196304321},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5124722123146057},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.48837918043136597},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4791940152645111},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4665757119655609},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4039096236228943},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2813703417778015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1624222993850708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10760512948036194},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09827011823654175}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8400298357009888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101661205291748},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.7689411640167236},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6564619541168213},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.6183281540870667},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5403410196304321},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5124722123146057},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.48837918043136597},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4791940152645111},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4665757119655609},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4039096236228943},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2813703417778015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1624222993850708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10760512948036194},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09827011823654175},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2020.2988817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2020.2988817","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321272","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1503085175","https://openalex.org/W1976570785","https://openalex.org/W1982068528","https://openalex.org/W2094000142","https://openalex.org/W2119567691","https://openalex.org/W2121863487","https://openalex.org/W2161272050","https://openalex.org/W2244432107","https://openalex.org/W2756144809","https://openalex.org/W2890391580","https://openalex.org/W2896051417","https://openalex.org/W2899223021","https://openalex.org/W2963837409","https://openalex.org/W2964035157","https://openalex.org/W2964351296","https://openalex.org/W2970269258","https://openalex.org/W2990608882","https://openalex.org/W4214717370","https://openalex.org/W4298023569"],"related_works":["https://openalex.org/W3091825588","https://openalex.org/W3094198577","https://openalex.org/W3094091075","https://openalex.org/W4206444456","https://openalex.org/W2947076271","https://openalex.org/W2144290189","https://openalex.org/W4299796970","https://openalex.org/W2066090588","https://openalex.org/W2795103223","https://openalex.org/W2810697512"],"abstract_inverted_index":{"Wireless":[0],"powered":[1],"communication":[2],"(WPC)":[3],"is":[4,72],"one":[5],"of":[6,24,59,122],"the":[7,51,56,64,69,90,104,117,123],"promising":[8],"techniques":[9],"for":[10],"future":[11],"energy-constrained":[12],"wireless":[13],"networks.":[14],"In":[15,35],"this":[16,36,84],"letter,":[17],"we":[18,38,87,108],"consider":[19],"a":[20,25,40,75,110],"WPC":[21],"system":[22],"composed":[23],"hybrid":[26],"access":[27],"point":[28],"and":[29,120],"an":[30],"energy":[31],"harvesting":[32],"node":[33],"(EHN).":[34],"system,":[37],"propose":[39,109],"reinforcement":[41],"learning":[42],"based":[43],"adaptive":[44],"resource":[45,105],"allocation":[46,106],"scheme":[47],"that":[48],"dynamically":[49],"assigns":[50],"channel":[52],"resources":[53],"to":[54,102],"minimize":[55],"outage":[57],"probability":[58],"information":[60],"transfer":[61],"while":[62],"satisfying":[63],"average":[65],"power":[66],"constraint":[67],"at":[68],"EHN,":[70],"which":[71],"formulated":[73,92],"as":[74],"constrained":[76],"Markov":[77],"decision":[78],"process":[79],"(MDP)":[80],"problem.":[81],"To":[82],"solve":[83],"challenging":[85],"problem,":[86],"first":[88],"transform":[89],"originally":[91],"problem":[93],"into":[94],"its":[95],"equivalent":[96],"unconstrained":[97],"MDP":[98],"with":[99],"multi-objective.":[100],"Then,":[101],"find":[103],"policy,":[107],"novel":[111],"Q-learning":[112],"algorithm.":[113],"Numerical":[114],"results":[115],"demonstrate":[116],"superior":[118],"performance":[119],"effectiveness":[121],"proposed":[124],"scheme.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
