{"id":"https://openalex.org/W4400277143","doi":"https://doi.org/10.1109/wcnc57260.2024.10570820","title":"Energy Efficiency Optimization in RIS-assisted ISATRNs with RSMA: A Federated Deep Reinforcement Learning Approach","display_name":"Energy Efficiency Optimization in RIS-assisted ISATRNs with RSMA: A Federated Deep Reinforcement Learning Approach","publication_year":2024,"publication_date":"2024-04-21","ids":{"openalex":"https://openalex.org/W4400277143","doi":"https://doi.org/10.1109/wcnc57260.2024.10570820"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc57260.2024.10570820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc57260.2024.10570820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5100340873","display_name":"Min Wu","orcid":"https://orcid.org/0000-0001-9379-7714"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Wu","raw_affiliation_strings":["School of Space Information, Space Engineering University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Space Information, Space Engineering University,Beijing,China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045112536","display_name":"Kefeng Guo","orcid":"https://orcid.org/0000-0002-7535-2057"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kefeng Guo","raw_affiliation_strings":["School of Space Information, Space Engineering University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Space Information, Space Engineering University,Beijing,China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760215","display_name":"Zhi Lin","orcid":"https://orcid.org/0009-0004-1894-3055"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Lin","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology,Hefei,China,230037"],"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology,Hefei,China,230037","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005877741","display_name":"Sahil Garg","orcid":"https://orcid.org/0000-0003-0229-608X"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sahil Garg","raw_affiliation_strings":["&#x00C9;cole de technologie Sup&#x00E9;rieure,Electrical Engineering Department,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"&#x00C9;cole de technologie Sup&#x00E9;rieure,Electrical Engineering Department,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091365209","display_name":"Kuljeet Kaur","orcid":"https://orcid.org/0000-0003-4597-1700"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kuljeet Kaur","raw_affiliation_strings":["&#x00C9;cole de technologie Sup&#x00E9;rieure,Electrical Engineering Department,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"&#x00C9;cole de technologie Sup&#x00E9;rieure,Electrical Engineering Department,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032243366","display_name":"Georges Kaddoum","orcid":"https://orcid.org/0000-0002-5025-6624"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Georges Kaddoum","raw_affiliation_strings":["&#x00C9;cole de technologie Sup&#x00E9;rieure,Electrical Engineering Department,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"&#x00C9;cole de technologie Sup&#x00E9;rieure,Electrical Engineering Department,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100340873"],"corresponding_institution_ids":["https://openalex.org/I4210148107"],"apc_list":null,"apc_paid":null,"fwci":0.4439,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61512132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9311000108718872,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9311000108718872,"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":0.8412214517593384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6816549897193909},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5639429688453674},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4447013735771179},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4400272071361542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3882691562175751},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.19439992308616638},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1358388066291809},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1085117757320404},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.07203710079193115}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8412214517593384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816549897193909},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5639429688453674},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4447013735771179},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4400272071361542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3882691562175751},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.19439992308616638},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1358388066291809},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1085117757320404},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.07203710079193115},{"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/wcnc57260.2024.10570820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc57260.2024.10570820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:29143","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/29143/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2926982239","https://openalex.org/W2969883507","https://openalex.org/W3011552097","https://openalex.org/W3119981021","https://openalex.org/W3172818029","https://openalex.org/W3179716925","https://openalex.org/W3198753883","https://openalex.org/W3215641234","https://openalex.org/W4206658479","https://openalex.org/W4221147571","https://openalex.org/W4226077890","https://openalex.org/W4312809976","https://openalex.org/W4318586180","https://openalex.org/W4321021465","https://openalex.org/W4367146885","https://openalex.org/W4383988870","https://openalex.org/W4384916330"],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W4387123727"],"abstract_inverted_index":{"The":[0,120],"performance":[1],"of":[2,32],"integrated":[3],"satellite-aerial-terrestrial":[4],"relay":[5],"networks":[6],"(ISATRNs)":[7],"faces":[8],"two":[9],"main":[10],"challenges,":[11],"severe":[12],"signal":[13,68],"strength":[14],"degradation":[15],"over":[16],"long":[17],"transmission":[18,50,69],"distances":[19],"and":[20,37,94,105,124,138],"limited":[21],"spectrum":[22],"resources.":[23],"To":[24,71,97],"address":[25],"these":[26],"issues,":[27],"we":[28,57,76,108],"consider":[29],"the":[30,54,83,99,132,153,164],"introduction":[31],"high":[33],"altitude":[34],"platforms":[35],"(HAPs)":[36],"unmanned":[38],"aerial":[39],"vehicles":[40],"(UAVs)":[41],"carrying":[42],"reconfigurable":[43],"intelligent":[44],"surface":[45],"(RIS)":[46],"as":[47],"relays":[48],"during":[49],"from":[51],"satellites":[52],"to":[53,66,134,163],"ground.":[55],"Additionally,":[56],"employ":[58],"rate":[59],"splitting":[60,92,126],"multiple":[61],"access":[62],"(RSMA)":[63],"at":[64],"HAPs":[65],"improve":[67],"robustness.":[70],"optimize":[72],"system":[73],"energy":[74,160],"efficiency,":[75],"formulate":[77],"a":[78,110],"multi-objective":[79],"problem":[80,101],"that":[81,152],"considers":[82],"active":[84],"transmit":[85,122],"beamforming":[86,123],"vector,":[87],"RIS":[88],"phase":[89],"shift,":[90],"power":[91,125],"ratio,":[93],"UAV":[95,133,147],"trajectory.":[96],"tackle":[98],"non-convex":[100],"involving":[102],"both":[103],"discrete":[104],"continuous":[106],"variables,":[107],"introduce":[109],"novel":[111],"approach":[112],"called":[113],"access-free":[114],"federated":[115],"deep":[116],"reinforcement":[117],"learning":[118],"(AF-DRL).":[119],"optimal":[121],"ratio":[127],"are":[128],"obtained":[129],"by":[130,145],"allowing":[131],"plan":[135],"its":[136],"path":[137],"locally":[139],"train,":[140],"reducing":[141],"computational":[142],"overhead":[143],"caused":[144],"high-dimensional":[146],"movement.":[148],"Simulation":[149],"results":[150],"demonstrate":[151],"proposed":[154],"RSMA-based":[155],"enhancement":[156],"scheme":[157],"achieves":[158],"higher":[159],"efficiency":[161],"compared":[162],"comparison":[165],"scheme.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
