{"id":"https://openalex.org/W4410227757","doi":"https://doi.org/10.1109/wcnc61545.2025.10978164","title":"Interference Coordination Leveraging Weighted Graph Convolutional Network","display_name":"Interference Coordination Leveraging Weighted Graph Convolutional Network","publication_year":2025,"publication_date":"2025-03-24","ids":{"openalex":"https://openalex.org/W4410227757","doi":"https://doi.org/10.1109/wcnc61545.2025.10978164"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc61545.2025.10978164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc61545.2025.10978164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5026038297","display_name":"Xidian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xidian Wang","raw_affiliation_strings":["School of Information Science and Engineering, SouthEast University,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, SouthEast University,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068585029","display_name":"Boyang Guo","orcid":"https://orcid.org/0000-0003-1177-9905"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyang Guo","raw_affiliation_strings":["Fuzhou University,Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information,China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022562096","display_name":"Hong Liang","orcid":"https://orcid.org/0000-0001-6483-0968"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Liang","raw_affiliation_strings":["Fuzhou University,Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information,China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075160383","display_name":"Zihan Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Jia","raw_affiliation_strings":["China Mobile Group Design Institute Co., Ltd.,China"],"affiliations":[{"raw_affiliation_string":"China Mobile Group Design Institute Co., Ltd.,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060894111","display_name":"Youjia Chen","orcid":"https://orcid.org/0000-0002-6430-2003"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youjia Chen","raw_affiliation_strings":["Fuzhou University,Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information,China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information,China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026038297"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":2.8599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90709679,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8029130101203918},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5748523473739624},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5172843933105469},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39239731431007385},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3650914132595062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029130101203918},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5748523473739624},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5172843933105469},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39239731431007385},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3650914132595062},{"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/wcnc61545.2025.10978164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc61545.2025.10978164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2966343615","display_name":null,"funder_award_id":"62271150","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2010288120","https://openalex.org/W2187969898","https://openalex.org/W2397293447","https://openalex.org/W2467648358","https://openalex.org/W2561201433","https://openalex.org/W3008749169","https://openalex.org/W3047104333","https://openalex.org/W3090894886","https://openalex.org/W4285138331","https://openalex.org/W4312889444","https://openalex.org/W4392397250"],"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":{"Inter-cell":[0],"interference":[1,61,80,125],"poses":[2],"a":[3,38,45,59,72,106],"significant":[4],"challenge":[5],"to":[6,15,64,112,137,143],"the":[7,16,42,67,79,84,90,100,138],"performance":[8],"and":[9,19,31,89,127],"reliability":[10],"of":[11,33,44,96,133],"cellular":[12],"networks":[13],"due":[14],"complex":[17],"spatial":[18],"temporal":[20],"relationships":[21],"between":[22,87],"network":[23,49,146],"nodes.":[24],"Addressing":[25],"this":[26],"issue":[27],"requires":[28],"accurate":[29],"prediction":[30],"assessment":[32],"interference.":[34,70],"This":[35],"paper":[36],"presents":[37],"novel":[39],"solution":[40],"leveraging":[41],"strengths":[43],"weighted":[46],"graph":[47,53,73,101,108],"convolutional":[48],"(WGCN)":[50],"combined":[51],"with":[52],"coloring":[54,102],"techniques.":[55],"Specifically,":[56],"we":[57,104],"propose":[58,105],"WGCN-based":[60],"estimation":[62],"model":[63],"accurately":[65],"derive":[66],"real-time":[68],"inter-cell":[69],"Then,":[71],"multi-coloring":[74,109],"problem":[75],"is":[76],"considered":[77],"for":[78],"coordination.":[81],"To":[82],"address":[83],"color":[85,91],"collision":[86],"cells":[88,98],"(i.e.":[92],"spectrum":[93,114],"resources)":[94],"requirement":[95],"individual":[97],"in":[99],"problem,":[103],"WGCN-assisted":[107],"(WGCN-GMC)":[110],"algorithm":[111,141],"allocate":[113],"resources":[115],"rationally.":[116],"Simulation":[117],"results":[118],"demonstrate":[119],"that":[120],"our":[121],"approach":[122],"significantly":[123],"enhances":[124],"coordination,":[126],"achieves":[128],"an":[129],"impressive":[130],"average":[131],"improvement":[132],"58.2":[134],"%":[135],"compared":[136],"traditional":[139],"GMC":[140],"leading":[142],"improved":[144],"overall":[145],"performance.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
