{"id":"https://openalex.org/W4408325026","doi":"https://doi.org/10.1109/globecom52923.2024.10901299","title":"Learning Power Allocation for Cell-free Massive MIMO System with Graph Neural Networks","display_name":"Learning Power Allocation for Cell-free Massive MIMO System with Graph Neural Networks","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408325026","doi":"https://doi.org/10.1109/globecom52923.2024.10901299"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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/A5100639707","display_name":"Peng Yao","orcid":"https://orcid.org/0000-0001-6129-045X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Peng","raw_affiliation_strings":["Beihang University,School of Electronics and Information Engineering,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronics and Information Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706822","display_name":"Tingting Liu","orcid":"https://orcid.org/0000-0002-8179-6180"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Liu","raw_affiliation_strings":["Beihang University,School of Electronics and Information Engineering,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronics and Information Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082950698","display_name":"Chenyang Yang","orcid":"https://orcid.org/0000-0003-0058-0765"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Yang","raw_affiliation_strings":["Beihang University,School of Electronics and Information Engineering,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronics and Information Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100639707"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26462125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2653","last_page":"2658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9821000099182129,"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":0.9821000099182129,"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":0.935699999332428,"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/T11932","display_name":"Wireless Body Area Networks","score":0.9197999835014343,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/mimo","display_name":"MIMO","score":0.6981130242347717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6320435404777527},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6043996214866638},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44114112854003906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39634719491004944},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29669564962387085},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2448941469192505}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6981130242347717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6320435404777527},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6043996214866638},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44114112854003906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39634719491004944},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29669564962387085},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2448941469192505},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom52923.2024.10901299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1970830346","https://openalex.org/W2610350904","https://openalex.org/W2767829406","https://openalex.org/W2965123227","https://openalex.org/W2984884920","https://openalex.org/W2991155877","https://openalex.org/W3044781044","https://openalex.org/W3111809517","https://openalex.org/W3158832185","https://openalex.org/W3189854358","https://openalex.org/W3196709551","https://openalex.org/W4210410067","https://openalex.org/W4315629997","https://openalex.org/W4380607130","https://openalex.org/W4386038394","https://openalex.org/W4390933258","https://openalex.org/W4392175345"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Optimizing":[0],"power":[1,89,117,124,149,186],"allocation":[2,90,118,150],"among":[3],"access":[4],"points":[5],"(APs)":[6],"is":[7,60,174],"an":[8],"effective":[9],"way":[10],"to":[11,31,62,86,114,130,146,176,210],"improve":[12],"the":[13,68,88,97,116,123,148,165,169,180,184,192,196,211],"spectral":[14],"efficiency":[15],"of":[16,72,99,126,168,213],"user-centric":[17],"cell-free":[18],"multi-antenna":[19],"systems,":[20],"where":[21,122],"each":[22,127],"user":[23],"equipment":[24],"(UE)":[25],"associates":[26],"with":[27,92,104,120,199],"adjacent":[28],"APs,":[29,214],"leading":[30],"dynamic":[32,100,177],"association":[33,101,178],"relationship.":[34],"The":[35,172],"serving":[36],"APs":[37],"can":[38,182],"adopt":[39],"different":[40],"beamforming":[41,45,49],"strategies,":[42],"say":[43],"distributed":[44],"(D-BF)":[46],"and":[47,102,144,154,179,203,207,216],"centralized":[48],"(C-BF).":[50],"Although":[51],"D-BF":[52,153],"requires":[53],"lower":[54],"fronthaul":[55],"capacity":[56],"than":[57],"C-BF,":[58,121,155],"it":[59],"unable":[61],"eliminate":[63],"inter-AP":[64],"interference.":[65],"To":[66],"reduce":[67],"high":[69,105,159],"computational":[70],"complexity":[71,202],"numerical":[73],"algorithms":[74],"for":[75],"solving":[76],"optimization":[77],"problems,":[78],"deep":[79],"neural":[80,139],"networks":[81,140],"(DNNs)":[82],"have":[83],"been":[84],"designed":[85,193],"learn":[87,115,147],"policies":[91,119,151],"D-BF,":[93],"which":[94],"however":[95],"disregard":[96],"impact":[98],"are":[103,110,208],"training":[106,201],"complexity.":[107],"Besides,":[108],"there":[109],"no":[111],"existing":[112,197],"works":[113],"constraint":[125],"AP":[128],"needs":[129],"be":[131],"satisfied.":[132],"In":[133],"this":[134],"paper,":[135],"we":[136],"design":[137],"graph":[138],"(GNNs),":[141],"including":[142],"D-GNN":[143,173],"C-GNN,":[145],"under":[152],"respectively.":[156],"For":[157],"achieving":[158],"learning":[160],"efficiency,":[161],"these":[162],"GNNs":[163,194],"exploit":[164],"permutation":[166],"properties":[167],"optimal":[170],"policies.":[171],"adaptive":[175],"C-GNN":[181],"satisfy":[183],"per-AP":[185],"constraint.":[187],"Simulation":[188],"results":[189],"show":[190],"that":[191],"outperform":[195],"DNNs":[198],"low":[200],"short":[204],"inference":[205],"time,":[206],"generalizable":[209],"numbers":[212],"antennas,":[215],"UEs.":[217]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}