{"id":"https://openalex.org/W4312501742","doi":"https://doi.org/10.1109/tcomm.2022.3220870","title":"Scalable Multi-Agent Reinforcement Learning for Dynamic Coordinated Multipoint Clustering","display_name":"Scalable Multi-Agent Reinforcement Learning for Dynamic Coordinated Multipoint Clustering","publication_year":2022,"publication_date":"2022-11-09","ids":{"openalex":"https://openalex.org/W4312501742","doi":"https://doi.org/10.1109/tcomm.2022.3220870"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2022.3220870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2022.3220870","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"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 Transactions on Communications","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/A5001386278","display_name":"Fenghe Hu","orcid":"https://orcid.org/0000-0001-7874-4614"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fenghe Hu","raw_affiliation_strings":["Engineering, King’s College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Engineering, King’s College London, London, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009213856","display_name":"Yansha Deng","orcid":"https://orcid.org/0000-0003-1001-7036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yansha Deng","raw_affiliation_strings":["Engineering, King’s College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Engineering, King’s College London, London, U.K","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065296493","display_name":"A.H. Aghvami","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Hamid Aghvami","raw_affiliation_strings":["Engineering, King’s College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Engineering, King’s College London, London, U.K","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001386278"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3789,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.89073466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"71","issue":"1","first_page":"101","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9993000030517578,"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":0.9993000030517578,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9922000169754028,"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":0.8558162450790405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8014181852340698},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7199813723564148},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6416352987289429},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5754493474960327},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5353242754936218},{"id":"https://openalex.org/keywords/information-sharing","display_name":"Information sharing","score":0.43137481808662415},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4105727970600128},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3311850130558014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2565575838088989}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8558162450790405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014181852340698},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7199813723564148},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6416352987289429},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5754493474960327},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5353242754936218},{"id":"https://openalex.org/C2776854237","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information sharing","level":2,"score":0.43137481808662415},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4105727970600128},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3311850130558014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2565575838088989},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2022.3220870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2022.3220870","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"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 Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G1259514249","display_name":null,"funder_award_id":"EP/W004348/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8828761625","display_name":"Smart Solutions Towards Cellular-Connected Unmanned Aerial Vehicles System (AUTONOMY)","funder_award_id":"EP/W004348/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1771410628","https://openalex.org/W1985291828","https://openalex.org/W2003599618","https://openalex.org/W2029273376","https://openalex.org/W2094387729","https://openalex.org/W2280722959","https://openalex.org/W2475089067","https://openalex.org/W2584886900","https://openalex.org/W2585273943","https://openalex.org/W2761873684","https://openalex.org/W2768629321","https://openalex.org/W2785315072","https://openalex.org/W2885828982","https://openalex.org/W2908052296","https://openalex.org/W2921224230","https://openalex.org/W2921955147","https://openalex.org/W2944412600","https://openalex.org/W2962741697","https://openalex.org/W2963864421","https://openalex.org/W2965130738","https://openalex.org/W2969195240","https://openalex.org/W2975296300","https://openalex.org/W2978320887","https://openalex.org/W2998135952","https://openalex.org/W3044976552","https://openalex.org/W3049537352","https://openalex.org/W3070101261","https://openalex.org/W3080441795","https://openalex.org/W3105649577","https://openalex.org/W3111499798","https://openalex.org/W3133735442","https://openalex.org/W3161477437","https://openalex.org/W3172394904","https://openalex.org/W3176552354","https://openalex.org/W4295598622","https://openalex.org/W4298876402","https://openalex.org/W4299802797","https://openalex.org/W4313058115","https://openalex.org/W6638018090","https://openalex.org/W6683300800","https://openalex.org/W6684921986","https://openalex.org/W6695605030","https://openalex.org/W6721101288","https://openalex.org/W6728714149","https://openalex.org/W6730236268","https://openalex.org/W6733180418","https://openalex.org/W6738796088","https://openalex.org/W6747941106","https://openalex.org/W6749304979","https://openalex.org/W6762664102","https://openalex.org/W6768785780","https://openalex.org/W6772266448","https://openalex.org/W6780768476"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2389214306","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474","https://openalex.org/W2586732548"],"abstract_inverted_index":{"Reinforcement":[0],"learning":[1,144,155],"(RL)":[2],"is":[3,32,54,157],"a":[4,36,79,90,142],"widely":[5],"investigated":[6],"intelligent":[7],"algorithm":[8,40,122],"and":[9,41,110,126],"proved":[10],"to":[11,34,56,66,98],"be":[12],"useful":[13],"in":[14,23,89],"the":[15,45,58,67,100,120,132,147,160],"wireless":[16],"communication":[17],"area.":[18],"However,":[19],"for":[20,44,83,146],"optimization":[21],"problems":[22],"large-scale":[24,91],"multi-cell":[25],"networks":[26],"whose":[27,151],"dimension":[28],"increases":[29],"exponentially,":[30],"it":[31],"unrealistic":[33],"employ":[35],"conventional":[37],"centralized":[38],"RL":[39,82],"make":[42],"decisions":[43,85],"entire":[46],"network.":[47],"Multi-agent":[48],"RL,":[49],"which":[50],"allows":[51],"distribute":[52],"decision-making,":[53],"expected":[55],"solve":[57],"scalability":[59],"problem":[60],"but":[61],"with":[62,123],"performance":[63,152],"issues":[64],"due":[65],"unknown":[68],"global":[69],"information,":[70],"i.e.,":[71],"non-stationary":[72],"environment.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77,139],"propose":[78,141],"parameter-sharing":[80],"multi-agent":[81,121],"grouping":[84],"of":[86,134,153],"coordinated":[87],"multi-point":[88],"network,":[92],"where":[93],"agents":[94],"jointly":[95],"serve":[96],"users":[97],"enhance":[99],"cell-edge":[101],"service.":[102],"By":[103],"sharing":[104,116,149],"information":[105],"via":[106],"parameters,":[107],"our":[108],"theoretical":[109],"simulation":[111,161],"results":[112],"show":[113],"that":[114],"parameter":[115,148],"can":[117],"largely":[118],"benefit":[119],"convergence":[124,127],"proof":[125],"speed":[128],"analysis.":[129],"To":[130],"reduce":[131],"effect":[133],"biased":[135],"local":[136],"heterogeneous":[137],"experience,":[138],"also":[140],"transfer":[143,154],"method":[145],"process,":[150],"algorithms":[156],"verified":[158],"by":[159],"results.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}