{"id":"https://openalex.org/W2976060678","doi":"https://doi.org/10.1109/icccn.2019.8846912","title":"An Actor-Critic Reinforcement Learning Approach for Energy Harvesting Communications Systems","display_name":"An Actor-Critic Reinforcement Learning Approach for Energy Harvesting Communications Systems","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2976060678","doi":"https://doi.org/10.1109/icccn.2019.8846912","mag":"2976060678"},"language":"en","primary_location":{"id":"doi:10.1109/icccn.2019.8846912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2019.8846912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 28th International Conference on Computer Communication and Networks (ICCCN)","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/A5038958766","display_name":"Ala\u2019eddin Masadeh","orcid":"https://orcid.org/0000-0001-8754-6898"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ala'eddin Masadeh","raw_affiliation_strings":["Iowa State University (ISU), Ames, IA, USA"],"affiliations":[{"raw_affiliation_string":"Iowa State University (ISU), Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009345756","display_name":"Zhengdao Wang","orcid":"https://orcid.org/0000-0003-2491-7879"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengdao Wang","raw_affiliation_strings":["Iowa State University (ISU), Ames, IA, USA"],"affiliations":[{"raw_affiliation_string":"Iowa State University (ISU), Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069714415","display_name":"Ahmed E. Kamal","orcid":"https://orcid.org/0000-0002-6631-3478"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed E. Kamal","raw_affiliation_strings":["Iowa State University (ISU), Ames, IA, USA"],"affiliations":[{"raw_affiliation_string":"Iowa State University (ISU), Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038958766"],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":null,"apc_paid":null,"fwci":0.484,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66159347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"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/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":0.9988999962806702,"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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.994700014591217,"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":0.8890053033828735},{"id":"https://openalex.org/keywords/energy-harvesting","display_name":"Energy harvesting","score":0.7882896661758423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7395120859146118},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.547491729259491},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5298041105270386},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5105501413345337},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4661494493484497},{"id":"https://openalex.org/keywords/communications-system","display_name":"Communications system","score":0.44229161739349365},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34974634647369385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2617822289466858},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2367570698261261},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.184798002243042},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1558329463005066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09419754147529602}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8890053033828735},{"id":"https://openalex.org/C101518730","wikidata":"https://www.wikidata.org/wiki/Q930236","display_name":"Energy harvesting","level":3,"score":0.7882896661758423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395120859146118},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.547491729259491},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5298041105270386},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5105501413345337},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4661494493484497},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.44229161739349365},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34974634647369385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2617822289466858},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2367570698261261},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.184798002243042},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1558329463005066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09419754147529602},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icccn.2019.8846912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2019.8846912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 28th International Conference on Computer Communication and Networks (ICCCN)","raw_type":"proceedings-article"},{"id":"pmh:oai:lib.dr.iastate.edu:ece_conf-1104","is_oa":false,"landing_page_url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1104&amp;amp;context=ece_conf","pdf_url":null,"source":{"id":"https://openalex.org/S4377196104","display_name":"Iowa State University Digital Repository (Iowa State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173911158","host_organization_name":"Iowa State University","host_organization_lineage":["https://openalex.org/I173911158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical and Computer Engineering Conference Papers, Posters and Presentations","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2065154528","https://openalex.org/W2073384958","https://openalex.org/W2118556122","https://openalex.org/W2121863487","https://openalex.org/W2125488136","https://openalex.org/W2140042874","https://openalex.org/W2141058243","https://openalex.org/W2229750533","https://openalex.org/W2339749518","https://openalex.org/W2475733888","https://openalex.org/W2490752264","https://openalex.org/W2614312052","https://openalex.org/W2735616759","https://openalex.org/W2767359317","https://openalex.org/W2786137637","https://openalex.org/W2809010041","https://openalex.org/W2886247978","https://openalex.org/W2963067144","https://openalex.org/W3099258132","https://openalex.org/W4211221179"],"related_works":["https://openalex.org/W3096874164","https://openalex.org/W2937181779","https://openalex.org/W2386410636","https://openalex.org/W2049472152","https://openalex.org/W1985560493","https://openalex.org/W2357975469","https://openalex.org/W2145363145","https://openalex.org/W1626977535","https://openalex.org/W2341346307","https://openalex.org/W4225269853"],"abstract_inverted_index":{"Energy":[0,90],"harvesting":[1,22,52,75,79],"communications":[2,10,23,53],"systems":[3],"are":[4],"able":[5,27],"to":[6,28,30,39,134,149,175,188,194,212],"provide":[7],"high":[8],"quality":[9],"services":[11],"using":[12],"green":[13],"energy":[14,21,51,74,81,101,122],"sources.":[15],"This":[16],"paper":[17],"presents":[18],"an":[19,65,73,125],"autonomous":[20],"system":[24,47,54],"that":[25],"is":[26,48,72,123,132,157],"adapt":[29],"any":[31,107],"environment,":[32],"and":[33,59,62,67,82,95,120,167,193,208],"optimize":[34,176],"its":[35,210,214],"behavior":[36],"with":[37,163,216],"experience":[38],"maximize":[40],"the":[41,177,190,196,202],"valuable":[42],"received":[43],"data.":[44],"The":[45,70,142,155,170,180],"considered":[46],"a":[49,57,60,86,110,136,145,160,164,183],"point-to-point":[50],"consisting":[55],"of":[56,78,100],"source":[58,71],"destination,":[61],"working":[63],"in":[64,85],"unknown":[66],"uncertain":[68],"environment.":[69],"node":[76],"capable":[77],"solar":[80],"storing":[83],"it":[84],"finite":[87],"capacity":[88],"battery.":[89],"can":[91,105],"be":[92],"harvested,":[93],"stored,":[94],"used":[96],"from":[97],"continuous":[98,111],"ranges":[99],"values.":[102],"Channel":[103],"gains":[104,119],"take":[106],"value":[108],"within":[109],"range.":[112],"Since":[113],"exact":[114],"information":[115],"about":[116],"future":[117],"channel":[118],"harvested":[121],"unavailable,":[124],"architecture":[126,204],"based":[127],"on":[128],"actor-critic":[129,206],"reinforcement":[130],"learning":[131],"proposed":[133,203],"learn":[135],"close-to-optimal":[137],"transmission":[138],"power":[139],"allocation":[140],"policy.":[141,198],"actor":[143,171],"uses":[144,172,182],"stochastic":[146],"parameterized":[147,165],"policy":[148,156,173],"select":[150],"actions":[151],"at":[152],"states":[153],"stochastically.":[154],"modeled":[158],"by":[159],"normal":[161],"distribution":[162],"mean":[166],"standard":[168],"deviation.":[169],"gradient":[174],"policy\u00e2\u20ac\u2122s":[178],"parameters.":[179],"critic":[181],"three":[184],"layer":[185],"neural":[186],"network":[187],"approximate":[189],"action-value":[191],"function,":[192],"evaluate":[195,201],"optimized":[197],"Simulation":[199],"results":[200],"for":[205],"learning,":[207],"shows":[209],"ability":[211],"improve":[213],"performance":[215],"experience.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
