{"id":"https://openalex.org/W7135067846","doi":"https://doi.org/10.48550/arxiv.2603.10802","title":"Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks","display_name":"Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks","publication_year":2026,"publication_date":"2026-03-11","ids":{"openalex":"https://openalex.org/W7135067846","doi":"https://doi.org/10.48550/arxiv.2603.10802"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.10802","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10802","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.10802","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002292993","display_name":"Mohamad Alkadamani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alkadamani, Mohamad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128807517","display_name":"Amir Ghasemi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghasemi, Amir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128802597","display_name":"Halim Yanikomeroglu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanikomeroglu, Halim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.5149999856948853,"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"}},"topics":[{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.5149999856948853,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.12250000238418579,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.024800000712275505,"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/wireless","display_name":"Wireless","score":0.5282999873161316},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5034000277519226},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5026999711990356},{"id":"https://openalex.org/keywords/frequency-allocation","display_name":"Frequency allocation","score":0.4862000048160553},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.43549999594688416},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.39489999413490295},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.38989999890327454},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.3749000132083893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079000234603882},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5034000277519226},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5026999711990356},{"id":"https://openalex.org/C134579502","wikidata":"https://www.wikidata.org/wiki/Q1455619","display_name":"Frequency allocation","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.43549999594688416},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.32359999418258667},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30309998989105225},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C105344744","wikidata":"https://www.wikidata.org/wiki/Q958957","display_name":"Spread spectrum","level":3,"score":0.2854999899864197},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C2983523559","wikidata":"https://www.wikidata.org/wiki/Q410657","display_name":"On demand","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28049999475479126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28029999136924744},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2615000009536743},{"id":"https://openalex.org/C200157131","wikidata":"https://www.wikidata.org/wiki/Q4854763","display_name":"Bandwidth allocation","level":3,"score":0.259799987077713},{"id":"https://openalex.org/C3018006300","wikidata":"https://www.wikidata.org/wiki/Q4402708","display_name":"Consumer demand","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2556000053882599},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.10802","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10802","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.10802","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10802","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5466697812080383,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,69,111],"growing":[1],"demand":[2,30,43,64,113],"for":[3,12],"wireless":[4,125],"connectivity,":[5],"combined":[6],"with":[7],"limited":[8],"spectrum":[9,15,42,63,119,122],"resources,":[10],"calls":[11],"more":[13],"efficient":[14],"management.":[16],"Spectrum":[17],"sharing":[18,120],"is":[19],"a":[20,41,51,56],"promising":[21],"approach;":[22],"however,":[23],"regulators":[24],"need":[25],"accurate":[26],"methods":[27],"to":[28,61,102],"characterize":[29],"dynamics":[31],"and":[32,39,49,75,81,89,106,117,121],"guide":[33],"allocation":[34,123],"decisions.":[35],"This":[36],"paper":[37],"builds":[38],"validates":[40],"proxy":[44],"from":[45],"public":[46],"deployment":[47],"records":[48],"uses":[50],"graph":[52],"attention":[53],"network":[54],"in":[55,124],"hierarchical,":[57],"multi-resolution":[58],"setup":[59],"(HR-GAT)":[60],"estimate":[62],"at":[65],"fine":[66],"spatial":[67,79,109],"scales.":[68],"model":[70],"captures":[71],"both":[72],"neighborhood":[73],"effects":[74],"cross-scale":[76],"patterns,":[77],"reducing":[78],"autocorrelation":[80],"improving":[82],"generalization.":[83],"Evaluated":[84],"across":[85],"five":[86],"Canadian":[87],"cities":[88],"against":[90],"eight":[91],"competitive":[92],"baselines,":[93],"HR-GAT":[94],"reduces":[95],"median":[96],"RMSE":[97],"by":[98],"roughly":[99],"21%":[100],"relative":[101],"the":[103],"best":[104],"alternative":[105],"lowers":[107],"residual":[108],"bias.":[110],"resulting":[112],"maps":[114],"are":[115],"regulator-accessible":[116],"support":[118],"networks.":[126]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-13T00:00:00"}