{"id":"https://openalex.org/W4406267506","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757733","title":"DeepSpectrum: A Localized Demand Estimation Model for Mobile Spectrum using Deep Learning","display_name":"DeepSpectrum: A Localized Demand Estimation Model for Mobile Spectrum using Deep Learning","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4406267506","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757733"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-fall63153.2024.10757733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030165559","display_name":"Janaki Parekh","orcid":"https://orcid.org/0000-0003-4982-4644"},"institutions":[{"id":"https://openalex.org/I4210151552","display_name":"Communications Research Centre Canada","ror":"https://ror.org/05dybt340","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210151552"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Janaki Parekh","raw_affiliation_strings":["Communications Research Centre Canada,Ottawa,Canada,K2H 8S2"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Research Centre Canada,Ottawa,Canada,K2H 8S2","institution_ids":["https://openalex.org/I4210151552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101830536","display_name":"Amir Ghasemi","orcid":"https://orcid.org/0000-0003-3383-8320"},"institutions":[{"id":"https://openalex.org/I4210151552","display_name":"Communications Research Centre Canada","ror":"https://ror.org/05dybt340","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210151552"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amir Ghasemi","raw_affiliation_strings":["Communications Research Centre Canada,Ottawa,Canada,K2H 8S2"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Research Centre Canada,Ottawa,Canada,K2H 8S2","institution_ids":["https://openalex.org/I4210151552"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035446029","display_name":"Halim Yan\u0131k\u00f6mero\u011flu","orcid":"https://orcid.org/0000-0003-4776-9354"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Halim Yanikomeroglu","raw_affiliation_strings":["Carleton University,Ottawa,Canada,K1S 5B6"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University,Ottawa,Canada,K1S 5B6","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9901999831199646,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9901999831199646,"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":0.9900000095367432,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6666841506958008},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5355467796325684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46505317091941833},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4542052447795868},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10564127564430237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6666841506958008},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5355467796325684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46505317091941833},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4542052447795868},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10564127564430237},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-fall63153.2024.10757733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"With":[0],"the":[1,11,102,149,154,177],"emergence":[2],"of":[3,48,136,167,179],"many":[4],"new":[5],"5G":[6],"and":[7,54,118,140],"6G":[8],"use":[9,47],"cases,":[10],"demand":[12,78,104,125,185],"for":[13,44,74,105,156,181],"spectrum":[14,20,30,49,64,184],"continues":[15],"to":[16,28,56,84,100,121,144,171],"grow.":[17],"In":[18],"response,":[19],"regulators":[21],"worldwide":[22],"are":[23,80],"actively":[24],"exploring":[25],"innovative":[26],"approaches":[27],"manage":[29],"more":[31,45,182],"efficiently.":[32],"Spectrum":[33],"sharing":[34],"emerges":[35],"as":[36,41],"a":[37,71,90,123,134,164],"particularly":[38],"promising":[39],"approach,":[40],"it":[42],"allows":[43],"intensive":[46],"by":[50],"enabling":[51],"other":[52],"services":[53],"users":[55],"access":[57],"idle":[58],"bands.":[59],"Nevertheless,":[60],"identifying":[61],"areas":[62],"where":[63],"is":[65,111,119],"either":[66],"under-":[67],"or":[68],"over-supplied":[69],"poses":[70],"significant":[72],"challenge":[73],"regulators,":[75],"given":[76],"that":[77,96],"insights":[79],"typically":[81],"only":[82],"observable":[83],"mobile":[85,106],"operators.This":[86],"paper":[87],"proposes":[88],"DeepSpectrum,":[89],"novel":[91,124],"Deep":[92],"Learning":[93],"(DL)":[94],"model":[95,110,132],"employs":[97],"Multi-Task":[98],"Learning,":[99],"estimate":[101,122],"local":[103],"spectrum.":[107],"The":[108,131],"proposed":[109],"trained":[112],"on":[113],"publicly":[114],"available":[115],"geospatial":[116],"datasets":[117],"used":[120],"proxy":[126],"derived":[127],"from":[128,148],"crowdsourced":[129],"data.":[130],"features":[133],"combination":[135],"Convolutional":[137],"Neural":[138],"Networks":[139,143],"custom":[141],"Residual":[142],"extract":[145],"relevant":[146],"patterns":[147],"data":[150],"itself,":[151],"thereby":[152],"eliminating":[153],"need":[155],"traditional":[157],"manual":[158],"feature":[159],"engineering.":[160],"Overall,":[161],"DeepSpectrum":[162],"achieves":[163],"performance":[165],"improvement":[166],"over":[168],"20%":[169],"compared":[170],"alternative":[172],"ML":[173],"regression":[174],"algorithms,":[175],"demonstrating":[176],"advantage":[178],"DL":[180],"accurate":[183],"modeling.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
