{"id":"https://openalex.org/W4385269745","doi":"https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188225","title":"Cooperative Action Branching Deep Reinforcement Learning for Uplink Power Control","display_name":"Cooperative Action Branching Deep Reinforcement Learning for Uplink Power Control","publication_year":2023,"publication_date":"2023-06-06","ids":{"openalex":"https://openalex.org/W4385269745","doi":"https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188225"},"language":"en","primary_location":{"id":"doi:10.1109/eucnc/6gsummit58263.2023.10188225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint European Conference on Networks and Communications &amp; 6G Summit (EuCNC/6G Summit)","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/A5009118381","display_name":"Petteri Kela","orcid":"https://orcid.org/0000-0001-5340-0591"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Petteri Kela","raw_affiliation_strings":["Nokia,Espoo,Finland","Nokia, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia,Espoo,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia, Espoo, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007055149","display_name":"Teemu Veijalainen","orcid":null},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Teemu Veijalainen","raw_affiliation_strings":["Nokia,Espoo,Finland","Nokia, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia,Espoo,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia, Espoo, Finland","institution_ids":["https://openalex.org/I2738502077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009118381"],"corresponding_institution_ids":["https://openalex.org/I2738502077"],"apc_list":null,"apc_paid":null,"fwci":0.936,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74408518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"484","last_page":"489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9979000091552734,"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":0.9979000091552734,"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/T10502","display_name":"Advanced Memory and Neural Computing","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"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9944000244140625,"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":0.8700062036514282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7886016368865967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6676235795021057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5525026917457581},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.4821281433105469},{"id":"https://openalex.org/keywords/power-control","display_name":"Power control","score":0.4763505756855011},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4673386514186859},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3586083650588989},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.29822227358818054},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1736731231212616},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09310397505760193}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8700062036514282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7886016368865967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6676235795021057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5525026917457581},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.4821281433105469},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.4763505756855011},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4673386514186859},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3586083650588989},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.29822227358818054},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1736731231212616},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09310397505760193},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eucnc/6gsummit58263.2023.10188225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint European Conference on Networks and Communications &amp; 6G Summit (EuCNC/6G Summit)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1996138841","https://openalex.org/W2145339207","https://openalex.org/W2164246999","https://openalex.org/W2769883686","https://openalex.org/W2784803756","https://openalex.org/W2963864421","https://openalex.org/W2981096252","https://openalex.org/W3112469981","https://openalex.org/W3157321018","https://openalex.org/W4200588365","https://openalex.org/W4293094759","https://openalex.org/W6684921986","https://openalex.org/W6685444567"],"related_works":["https://openalex.org/W2016000499","https://openalex.org/W2395708164","https://openalex.org/W2115199292","https://openalex.org/W2391952834","https://openalex.org/W2059864367","https://openalex.org/W1601261305","https://openalex.org/W1984551944","https://openalex.org/W2019012533","https://openalex.org/W2166436816","https://openalex.org/W1763182976"],"abstract_inverted_index":{"Wireless":[0],"networks":[1,8],"are":[2,58],"expected":[3,28],"to":[4,37,40,98,113,115,151,155,182],"move":[5],"towards":[6],"self-sustaining":[7],"in":[9,18,22,30,56,193],"6G,":[10],"where":[11,141],"machine":[12,33,109],"learning":[13,34,110,130,168],"plays":[14],"a":[15,70],"critical":[16],"role":[17],"maintaining":[19],"high":[20],"performance":[21,118,166],"dynamically":[23],"changing":[24],"environment.":[25],"It":[26],"is":[27,145],"that":[29,53,127,163,175],"such":[31,50],"environment":[32],"algorithms":[35],"need":[36],"be":[38,173,180],"able":[39],"optimize":[41,78,116],"multiple":[42,108,188],"correlated":[43,51],"network":[44,75],"parameters":[45],"simultaneously.":[46],"One":[47],"example":[48],"of":[49,119,137,187],"parameters,":[52,81,140],"exist":[54],"already":[55],"5G,":[57],"outer-loop":[59],"power":[60],"control":[61],"(OLPC)":[62],"parameters.":[63],"In":[64,96],"this":[65],"paper":[66],"we":[67,105,159],"show":[68],"how":[69,107],"single":[71],"double":[72],"deep":[73],"Q":[74],"(DDQN)":[76],"can":[77,132,172,179],"both":[79],"OLPC":[80,139],"<tex":[82,86],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[83,87],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$P_{0}$</tex>":[84],"and":[85],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\alpha_{pl}$</tex>":[88],",":[89],"simultaneously":[90],"with":[91],"two":[92],"output":[93],"branch":[94],"dimensions.":[95],"order":[97],"tackle":[99],"multi-agent":[100],"problems,":[101],"caused":[102],"by":[103],"interference,":[104],"describe":[106],"agents":[111,149],"have":[112],"cooperate":[114],"the":[117,120,134,165,176,194],"whole":[121],"network.":[122],"Extensive":[123],"simulation":[124],"studies":[125],"confirm":[126],"provided":[128],"reinforcement":[129],"methods":[131,162,178],"outperform":[133],"traditional":[135],"way":[136],"setting":[138],"global":[142],"sub-optimal":[143],"parametrization":[144],"hand-picked.":[146],"Because":[147],"cooperating":[148],"learned":[150],"discriminate":[152],"some":[153],"cells":[154],"maximize":[156],"overall":[157],"throughput,":[158],"additionally":[160],"experiment":[161],"equalize":[164],"between":[167],"agents.":[169],"Thus,":[170],"it":[171],"envisioned":[174],"introduced":[177],"harnessed":[181],"learn":[183],"also":[184],"other":[185],"combinations":[186],"simultaneous":[189],"optimization":[190],"actions":[191],"taken":[192],"future":[195],"6G":[196],"networks.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
