{"id":"https://openalex.org/W1668507458","doi":"https://doi.org/10.1109/iwcmc.2015.7289197","title":"On error variance for autoregressive process-based spectrum occupancy prediction with energy detector for cognitive networks","display_name":"On error variance for autoregressive process-based spectrum occupancy prediction with energy detector for cognitive networks","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1668507458","doi":"https://doi.org/10.1109/iwcmc.2015.7289197","mag":"1668507458"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2015.7289197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2015.7289197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Wireless Communications and Mobile Computing Conference (IWCMC)","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/A5081450215","display_name":"Ali Boyac\u0131","orcid":"https://orcid.org/0000-0002-2553-1911"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ali Boyac\u0131","raw_affiliation_strings":["İstanbul Commerce University, Department of Electrical-Electronics Engineering, Küçükyalı E5 Kavşağı, İnönü Cad., No:4, 34840, Türkey"],"affiliations":[{"raw_affiliation_string":"İstanbul Commerce University, Department of Electrical-Electronics Engineering, Küçükyalı E5 Kavşağı, İnönü Cad., No:4, 34840, Türkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028375504","display_name":"Fatma Nur Ak\u0131","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fatma Nur Ak\u0131","raw_affiliation_strings":["İstanbul Commerce University, Department of Computer Engineering, Küçükyalı E5 Kavşağı, İnönü Cad., No:4, 34840, Türkiye"],"affiliations":[{"raw_affiliation_string":"İstanbul Commerce University, Department of Computer Engineering, Küçükyalı E5 Kavşağı, İnönü Cad., No:4, 34840, Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063440092","display_name":"Serhan Yarkan","orcid":"https://orcid.org/0000-0001-6430-3009"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Serhan Yarkan","raw_affiliation_strings":["İstanbul Commerce University, Department of Electrical-Electronics Engineering, Küçükyalı E5 Kavşağı, İnönü Cad., No:4, 34840, Türkiye"],"affiliations":[{"raw_affiliation_string":"İstanbul Commerce University, Department of Electrical-Electronics Engineering, Küçükyalı E5 Kavşağı, İnönü Cad., No:4, 34840, Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081450215"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04868548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"868","last_page":"873"},"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":1.0,"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":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9962999820709229,"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/cognitive-radio","display_name":"Cognitive radio","score":0.853417158126831},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.8043192028999329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6871557831764221},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6040253639221191},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5329284071922302},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5073809027671814},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43442195653915405},{"id":"https://openalex.org/keywords/gsm","display_name":"GSM","score":0.41903188824653625},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4033956229686737},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3827820420265198},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3675522208213806},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2346249222755432},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18918001651763916},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17277318239212036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16777068376541138}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.853417158126831},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8043192028999329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6871557831764221},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6040253639221191},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5329284071922302},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5073809027671814},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43442195653915405},{"id":"https://openalex.org/C59201141","wikidata":"https://www.wikidata.org/wiki/Q46904","display_name":"GSM","level":2,"score":0.41903188824653625},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4033956229686737},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3827820420265198},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3675522208213806},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2346249222755432},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18918001651763916},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17277318239212036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16777068376541138},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2015.7289197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2015.7289197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1945674169","https://openalex.org/W1969232590","https://openalex.org/W1992103321","https://openalex.org/W1993074639","https://openalex.org/W1999679456","https://openalex.org/W2000565576","https://openalex.org/W2010489667","https://openalex.org/W2014536735","https://openalex.org/W2022308909","https://openalex.org/W2026144823","https://openalex.org/W2072641892","https://openalex.org/W2087386265","https://openalex.org/W2101006708","https://openalex.org/W2103214037","https://openalex.org/W2119811155","https://openalex.org/W2124428301","https://openalex.org/W2140669960","https://openalex.org/W2143179581","https://openalex.org/W2147122894","https://openalex.org/W2153090463","https://openalex.org/W2155999145","https://openalex.org/W2169223481","https://openalex.org/W2170749473","https://openalex.org/W2342838888","https://openalex.org/W2398728509","https://openalex.org/W2544603002","https://openalex.org/W2798333393","https://openalex.org/W2991162019"],"related_works":["https://openalex.org/W2559261346","https://openalex.org/W4280609833","https://openalex.org/W1973979964","https://openalex.org/W4235820682","https://openalex.org/W185479762","https://openalex.org/W2136943174","https://openalex.org/W2095246866","https://openalex.org/W4246064491","https://openalex.org/W1968709058","https://openalex.org/W2034619563"],"abstract_inverted_index":{"Spectrum":[0,22],"sensing":[1,23,50,88],"is":[2,44,101,104],"considered":[3],"to":[4,28,65],"be":[5,39],"the":[6,62,66,71,82,85,114,117,121,139],"most":[7],"important":[8],"task":[9],"for":[10,98,143],"both":[11,113],"cognitive":[12],"radio":[13,34],"(CR)":[14],"networks":[15,20],"and":[16,120,129,156],"next":[17],"generation":[18],"wireless":[19,26],"(NGWNs).":[21],"operation":[24],"allows":[25],"nodes":[27],"identify":[29],"vacant":[30],"bands":[31],"so":[32],"that":[33,46,106],"frequency":[35],"(RF)":[36],"spectrum":[37,49,64,87],"could":[38],"used":[40],"more":[41],"efficiently.":[42],"It":[43,103],"clear":[45],"a":[47,77],"powerful":[48],"method":[51],"equipped":[52],"with":[53,162],"an":[54],"effective":[55],"prediction":[56,74,96,107],"strategy":[57,97],"will":[58],"carry":[59],"utilization":[60],"of":[61,70,73,84,116,151],"RF":[63],"utmost":[67],"level.":[68,154],"Analysis":[69],"performances":[72],"strategies":[75],"plays":[76],"critical":[78],"role":[79],"in":[80,91],"quantifying":[81],"efficiency":[83],"overall":[86],"operation.":[89],"Therefore,":[90],"this":[92],"study,":[93],"autoregressive":[94,118],"process-based":[95],"energy":[99],"detection":[100],"investigated.":[102],"shown":[105],"error":[108],"variance":[109],"relies":[110],"heavily":[111],"on":[112],"intercept":[115],"model":[119],"threshold":[122],"value":[123],"selected.":[124],"Theoretical":[125],"findings":[126],"are":[127,135,159],"validated":[128],"verified":[130],"by":[131,137],"measurement":[132],"data":[133],"which":[134],"obtained":[136],"capturing":[138],"complete":[140],"Global":[141],"System":[142],"Mobile":[144],"(GSM)":[145],"downlink":[146],"band":[147],"at":[148],"Nyquist":[149],"rate":[150],"in-phase/quadrature":[152],"(I/Q)":[153],"Results":[155],"relevant":[157],"discussions":[158],"provided":[160],"along":[161],"future":[163],"research":[164],"directions":[165],"as":[166],"well.":[167]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}