{"id":"https://openalex.org/W2165352778","doi":"https://doi.org/10.1109/wcnc.2009.4917998","title":"Traffic Prediction from Wireless Environment Sensing","display_name":"Traffic Prediction from Wireless Environment Sensing","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2165352778","doi":"https://doi.org/10.1109/wcnc.2009.4917998","mag":"2165352778"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2009.4917998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2009.4917998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Wireless Communications and Networking Conference","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/A5080137274","display_name":"Lionel Gueguen","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lionel Gueguen","raw_affiliation_strings":["Orange Laboratories, Issy-les-Moulineaux, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Laboratories, Issy-les-Moulineaux, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088463526","display_name":"Berna Sayrac","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Berna Sayrac","raw_affiliation_strings":["Orange Laboratories, Issy-les-Moulineaux, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Laboratories, Issy-les-Moulineaux, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19370010"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998000264167786,"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":0.9998000264167786,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9994000196456909,"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/T12146","display_name":"Power Line Communications and Noise","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/reliability","display_name":"Reliability (semiconductor)","score":0.6985068321228027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6740866899490356},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5724300742149353},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5626095533370972},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5143066644668579},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5054593086242676},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.4517313241958618},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.43730926513671875},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.4252714216709137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4160589575767517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32306116819381714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32260456681251526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14869529008865356},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08472931385040283}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6985068321228027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6740866899490356},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5724300742149353},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5626095533370972},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5143066644668579},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5054593086242676},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.4517313241958618},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.43730926513671875},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.4252714216709137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4160589575767517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32306116819381714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32260456681251526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14869529008865356},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08472931385040283},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2009.4917998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2009.4917998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Wireless Communications and Networking Conference","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":13,"referenced_works":["https://openalex.org/W1976927254","https://openalex.org/W2106186328","https://openalex.org/W2122111042","https://openalex.org/W2144369278","https://openalex.org/W2145197862","https://openalex.org/W2150796457","https://openalex.org/W2153583877","https://openalex.org/W2154457313","https://openalex.org/W2799061466","https://openalex.org/W3150751370","https://openalex.org/W4241607140","https://openalex.org/W4244494905","https://openalex.org/W6682993742"],"related_works":["https://openalex.org/W2559261346","https://openalex.org/W4280609833","https://openalex.org/W1973979964","https://openalex.org/W2775301649","https://openalex.org/W2048427509","https://openalex.org/W4233632157","https://openalex.org/W2330895226","https://openalex.org/W2994439156","https://openalex.org/W2587869769","https://openalex.org/W4233733985"],"abstract_inverted_index":{"In":[0,86],"this":[1],"paper,":[2],"we":[3],"propose":[4,36],"a":[5,37,58,71,83,97,117,141],"method":[6,48],"for":[7,25,54],"predicting":[8],"traffic":[9,19,33,98,143],"values":[10],"from":[11,21,64],"spectrum":[12,65,124],"measurements.":[13,56],"The":[14,110,120],"purpose":[15],"is":[16,100,113],"to":[17,31,50,96],"obtain":[18],"information":[20],"the":[22,47,76,87,90,93,103,128,131,137],"wireless":[23],"environment":[24],"making":[26],"informed":[27],"decisions":[28],"in":[29],"order":[30],"balance":[32],"loads.":[34],"We":[35],"supervised":[38],"prediction":[39],"scheme":[40,139],"trained":[41,101],"by":[42],"real":[43],"measurements,":[44],"such":[45],"that":[46,136],"adapts":[49],"new":[51,55],"radio":[52],"contexts":[53],"As":[57],"first":[59],"step,":[60],"features":[61,78,95],"are":[62,79],"extracted":[63],"measurements":[66,125],"using":[67,102,116],"probability":[68],"distributions":[69],"and":[70,130],"Principal":[72],"Component":[73],"Analysis.":[74],"Then,":[75],"relevant":[77],"selected":[80,94],"based":[81],"on":[82,127],"correlation":[84],"criterion.":[85],"third":[88],"stage,":[89],"predictor,":[91],"mapping":[92],"value,":[99],"<i":[104],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">k</i>":[106],"Nearest":[107],"Neighbours":[108],"algorithm.":[109],"predictor":[111],"reliability":[112],"then":[114],"evaluated":[115],"cross":[118],"validation.":[119],"results":[121],"obtained":[122],"with":[123],"realized":[126],"GSM900":[129],"DCS1800":[132],"frequency":[133],"bands":[134],"show":[135],"proposed":[138],"achieves":[140],"reliable":[142],"prediction.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
