{"id":"https://openalex.org/W4225785197","doi":"https://doi.org/10.1109/6gnet54646.2022.9830258","title":"A Graph Attention Learning Approach to Antenna Tilt Optimization","display_name":"A Graph Attention Learning Approach to Antenna Tilt Optimization","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4225785197","doi":"https://doi.org/10.1109/6gnet54646.2022.9830258"},"language":"en","primary_location":{"id":"doi:10.1109/6gnet54646.2022.9830258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/6gnet54646.2022.9830258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 1st International Conference on 6G Networking (6GNet)","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/A5103016954","display_name":"Y. J. Jin","orcid":"https://orcid.org/0000-0002-3183-8741"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Yifei Jin","raw_affiliation_strings":["KTH Royal Institute of Technology,Stockholm,Sweden","Ericsson Research, Stockholm, Sweden","KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Ericsson Research, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075203365","display_name":"Filippo Vannella","orcid":"https://orcid.org/0000-0002-7668-0650"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Filippo Vannella","raw_affiliation_strings":["KTH Royal Institute of Technology,Stockholm,Sweden","Ericsson Research, Stockholm, Sweden","KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Ericsson Research, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003495895","display_name":"Maxime Bouton","orcid":"https://orcid.org/0000-0002-9151-1513"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Maxime Bouton","raw_affiliation_strings":["Ericsson Research,Stockholm,Sweden","Ericsson Research, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Stockholm,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075305744","display_name":"Jaeseong Jeong","orcid":"https://orcid.org/0000-0003-4533-3418"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jaeseong Jeong","raw_affiliation_strings":["Ericsson Research,Stockholm,Sweden","Ericsson Research, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Stockholm,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007382401","display_name":"Ezeddin Al H\u00e5kim","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ezeddin Al Hakim","raw_affiliation_strings":["Ericsson Research,Stockholm,Sweden","Ericsson Research, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Stockholm,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103016954"],"corresponding_institution_ids":["https://openalex.org/I1306339040","https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":1.382,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79984854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","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/T10148","display_name":"Advanced MIMO Systems Optimization","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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9988999962806702,"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":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.8422747850418091},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6313446164131165},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5815203189849854},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5183416604995728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5163811445236206},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5018448829650879},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4847669005393982},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47141310572624207},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4616185128688812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4259008765220642},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2851106524467468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8422747850418091},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6313446164131165},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5815203189849854},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5183416604995728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5163811445236206},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5018448829650879},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4847669005393982},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47141310572624207},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4616185128688812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4259008765220642},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2851106524467468},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/6gnet54646.2022.9830258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/6gnet54646.2022.9830258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 1st International Conference on 6G Networking (6GNet)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2034870457","https://openalex.org/W2100470343","https://openalex.org/W2134393683","https://openalex.org/W2145417574","https://openalex.org/W2147184971","https://openalex.org/W2151854870","https://openalex.org/W2166066035","https://openalex.org/W2540567230","https://openalex.org/W2746553466","https://openalex.org/W2794643322","https://openalex.org/W2964015378","https://openalex.org/W2966860555","https://openalex.org/W2995937146","https://openalex.org/W2998367975","https://openalex.org/W3042612721","https://openalex.org/W3193630371","https://openalex.org/W4286795917","https://openalex.org/W4287755265","https://openalex.org/W4288358813","https://openalex.org/W4294558607","https://openalex.org/W4295598622","https://openalex.org/W4297733535","https://openalex.org/W4298857966","https://openalex.org/W6637967152","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6763912176","https://openalex.org/W6768539364","https://openalex.org/W6784152626","https://openalex.org/W6797464607"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W3162204513","https://openalex.org/W4380318855","https://openalex.org/W2017776670","https://openalex.org/W2347897961"],"abstract_inverted_index":{"6G":[0],"will":[1],"move":[2],"mobile":[3],"networks":[4],"towards":[5],"increasing":[6],"levels":[7],"of":[8,16,34,99,152,189],"complexity.":[9],"To":[10],"deal":[11],"with":[12,171],"this":[13,112],"complexity,":[14],"optimization":[15,33,64,72],"network":[17,30,166,187],"parameters":[18],"is":[19],"key":[20],"to":[21,28,44,87,108,132,184,186],"ensure":[22],"high":[23],"performance":[24],"and":[25,41,47,104,142,168,192],"timely":[26],"adaptivity":[27],"dynamic":[29],"environments.":[31],"The":[32],"the":[35,50,90,138,144],"antenna":[36],"tilt":[37,63,71,123,145],"provides":[38],"a":[39,116,128,150,155,175],"practical":[40],"cost-efficient":[42],"method":[43],"improve":[45],"coverage":[46],"capacity":[48],"in":[49,94],"network.":[51],"Previous":[52],"methods":[53,78,101],"based":[54,80,148],"on":[55,81,127,149],"Reinforcement":[56],"Learning":[57],"(RL)":[58],"have":[59],"shown":[60],"effectiveness":[61],"for":[62,122],"by":[65,174],"learning":[66],"adaptive":[67],"policies":[68],"outperforming":[69],"traditional":[70],"methods.":[73],"However,":[74],"most":[75,98],"existing":[76],"RL":[77],"are":[79],"single-cell":[82],"features":[83],"representation,":[84,141],"which":[85],"fails":[86],"fully":[88],"characterize":[89],"agent":[91,139],"state,":[92],"resulting":[93],"suboptimal":[95],"performance.":[96],"Also,":[97],"such":[100],"lack":[102],"scalability":[103],"generalization":[105],"ability":[106,183],"due":[107],"state-action":[109],"explosion.":[110],"In":[111,178],"paper,":[113],"we":[114,180],"propose":[115],"Graph":[117],"Attention":[118],"Q-learning":[119],"(GAQ)":[120],"algorithm":[121],"optimization.":[124],"GAQ":[125,162],"relies":[126],"graph":[129],"attention":[130],"mechanism":[131],"select":[133],"relevant":[134],"neighbors":[135],"information,":[136],"improving":[137],"state":[140],"updates":[143],"control":[146],"policy":[147],"history":[151],"observations":[153],"using":[154],"Deep":[156],"Q-Network":[157],"(DQN).":[158],"We":[159],"show":[160],"that":[161],"efficiently":[163],"captures":[164],"important":[165],"information":[167,173],"outperforms":[169],"baselines":[170],"local":[172],"large":[176],"margin.":[177],"addition,":[179],"demonstrate":[181],"its":[182],"generalize":[185],"deployments":[188],"different":[190],"sizes":[191],"density.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
