{"id":"https://openalex.org/W4206818811","doi":"https://doi.org/10.23919/eusipco54536.2021.9615934","title":"Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO","display_name":"Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4206818811","doi":"https://doi.org/10.23919/eusipco54536.2021.9615934"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9615934","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9615934","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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/A5101661883","display_name":"Ruiqing Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruiqing Chen","raw_affiliation_strings":["Shanghai Institute of Microsystem and Information Technology, Shanghai, China","Shanghai Tech University, Shanghai, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]},{"raw_affiliation_string":"Shanghai Tech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063874810","display_name":"Fanglei Sun","orcid":"https://orcid.org/0000-0002-4302-2512"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanglei Sun","raw_affiliation_strings":["Shanghai Tech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Tech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112386842","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0002-0667-540X"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["Shanghai Institute of Microsystem and Information Technology, Shanghai, China","Shanghai Tech University, Shanghai, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]},{"raw_affiliation_string":"Shanghai Tech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101758916","display_name":"Kai Li","orcid":"https://orcid.org/0000-0003-4317-2155"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["Shanghai Tech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Tech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010655393","display_name":"Liantao Wu","orcid":"https://orcid.org/0000-0001-5160-5999"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liantao Wu","raw_affiliation_strings":["Shanghai Tech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Tech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384906","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-0350-2570"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["University College London, London, UK"],"affiliations":[{"raw_affiliation_string":"University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397725","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0003-0608-9408"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Shanghai Tech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Tech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101661883"],"corresponding_institution_ids":["https://openalex.org/I30809798","https://openalex.org/I4210147322","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.2982,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78525446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1631","last_page":"1635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9997000098228455,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9997000098228455,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9894999861717224,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9837999939918518,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.6984678506851196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6982446312904358},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6610554456710815},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5978401899337769},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5760673880577087},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5328909158706665},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.4975643455982208},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48850786685943604},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4541477859020233},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.44687679409980774},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.2328556776046753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21365907788276672},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14858362078666687},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1226797103881836},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08649423718452454}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6984678506851196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6982446312904358},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6610554456710815},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5978401899337769},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5760673880577087},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5328909158706665},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.4975643455982208},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48850786685943604},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4541477859020233},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.44687679409980774},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2328556776046753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21365907788276672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14858362078666687},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1226797103881836},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08649423718452454},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9615934","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9615934","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1191599655","https://openalex.org/W1914285235","https://openalex.org/W1988210060","https://openalex.org/W1997834106","https://openalex.org/W2033976720","https://openalex.org/W2107706475","https://openalex.org/W2147584524","https://openalex.org/W2156737235","https://openalex.org/W2535247013","https://openalex.org/W2800319120","https://openalex.org/W2899701084","https://openalex.org/W2953558422","https://openalex.org/W2968782695","https://openalex.org/W2969489701","https://openalex.org/W2978045476","https://openalex.org/W2982256525","https://openalex.org/W3015677298","https://openalex.org/W3031370262","https://openalex.org/W3092045342","https://openalex.org/W3103659406","https://openalex.org/W6627932998","https://openalex.org/W6683195989","https://openalex.org/W6766952794"],"related_works":["https://openalex.org/W2073298047","https://openalex.org/W1963790170","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2033790662","https://openalex.org/W2049264236","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W2001591765","https://openalex.org/W317165722"],"abstract_inverted_index":{"Multi-Objective":[0],"Optimization":[1],"(MOO)":[2],"has":[3,167],"always":[4],"been":[5,24],"an":[6],"important":[7],"issue":[8],"in":[9,75,150,161],"the":[10,16,28,44,48,69,84,93,109,113,118,124,138,146,151,162],"field":[11],"of":[12,18,46,71,140],"wireless":[13],"communications.":[14],"With":[15],"development":[17],"5G":[19],"networks,":[20],"more":[21],"objectives":[22,36],"have":[23,58],"concerned":[25],"to":[26,64,107,123,145,170],"improve":[27],"user":[29],"experience.":[30],"The":[31,133,154],"relationship":[32],"between":[33],"these":[34],"multiple":[35,66],"is":[37,87,121,143],"complex":[38],"or":[39],"even":[40],"conflicting,":[41],"which":[42,89],"increases":[43],"difficulty":[45],"solving":[47],"MOO":[49],"problems.":[50],"Traditional":[51],"multi-objective":[52,79,163],"optimization":[53],"algorithms":[54],"(e.g.,":[55],"genetic":[56],"algorithm)":[57],"higher":[59],"computation":[60],"complexity":[61],"and":[62,102,131,165],"require":[63],"store":[65],"models":[67],"for":[68],"preference":[70,172],"different":[72],"objectives.":[73],"Therefore,":[74],"this":[76],"paper,":[77],"a":[78,104],"scheduling":[80,95,116],"model":[81,106,120,142],"based":[82],"on":[83],"Actor-Critic":[85],"framework":[86],"proposed,":[88],"can":[90,157],"effectively":[91],"solve":[92],"multi-user":[94],"problem":[96],"under":[97],"Massive":[98],"Multiple-Input":[99],"Multiple-Output":[100],"(MIMO),":[101],"utilize":[103],"single":[105],"approximate":[108],"Pareto":[110,155],"frontier.":[111],"In":[112],"single-cell":[114],"downlink":[115],"scenario,":[117],"proposed":[119],"applied":[122],"two":[125],"objective":[126],"optimization,":[127],"i.e.,":[128],"channel":[129],"capacity":[130],"fairness.":[132],"simulation":[134],"results":[135],"show":[136],"that":[137],"performance":[139],"our":[141],"close":[144],"theoretical":[147],"optimal":[148],"value":[149],"single-objective":[152],"case.":[153],"frontier":[156],"be":[158],"uniformly":[159],"approximated":[160],"case,":[164],"it":[166],"strong":[168],"robustness":[169],"never-seen":[171],"combinations.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
