{"id":"https://openalex.org/W2548600503","doi":"https://doi.org/10.1145/2988287.2989169","title":"An Energy-Detection-Based Cooperative Spectrum Sensing Scheme for Minimizing the Effects of NPEE and RSPF","display_name":"An Energy-Detection-Based Cooperative Spectrum Sensing Scheme for Minimizing the Effects of NPEE and RSPF","publication_year":2016,"publication_date":"2016-11-04","ids":{"openalex":"https://openalex.org/W2548600503","doi":"https://doi.org/10.1145/2988287.2989169","mag":"2548600503"},"language":"en","primary_location":{"id":"doi:10.1145/2988287.2989169","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2988287.2989169","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2989169&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2989169&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015263884","display_name":"Oladiran G. Olaleye","orcid":null},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oladiran G. Olaleye","raw_affiliation_strings":["University of Louisiana at Lafayette, Lafayette, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051050323","display_name":"Muhammad Iqbal","orcid":"https://orcid.org/0000-0002-2081-3477"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Iqbal","raw_affiliation_strings":["University of Louisiana at Lafayette, Lafayette, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081409919","display_name":"Ahmed Aly","orcid":null},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Aly","raw_affiliation_strings":["University of Louisiana at Lafayette, Lafayette, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105929455","display_name":"Dmitri Perkins","orcid":"https://orcid.org/0000-0003-0329-7914"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitri Perkins","raw_affiliation_strings":["University of Louisiana at Lafayette, Lafayette, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010023744","display_name":"Magdy Bayoumi","orcid":"https://orcid.org/0000-0002-0630-5273"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Magdy Bayoumi","raw_affiliation_strings":["University of Louisiana at Lafayette, Lafayette, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79516672"],"apc_list":null,"apc_paid":null,"fwci":1.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7415115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"318","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9451000094413757,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9451000094413757,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6698176264762878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6694821119308472},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5842880606651306},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5755572319030762},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5479061007499695},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5433640480041504},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48042941093444824},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4696732461452484},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.46274569630622864},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.45179012417793274},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.4497782588005066},{"id":"https://openalex.org/keywords/spread-spectrum","display_name":"Spread spectrum","score":0.44598686695098877},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.4456409811973572},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4324418306350708},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3685934543609619},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3392367362976074},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.32483625411987305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2287764847278595},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.19805750250816345},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.150386244058609},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14095625281333923},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12959858775138855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12852463126182556},{"id":"https://openalex.org/keywords/code-division-multiple-access","display_name":"Code division multiple access","score":0.09177342057228088}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6698176264762878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6694821119308472},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5842880606651306},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5755572319030762},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5479061007499695},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5433640480041504},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48042941093444824},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4696732461452484},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.46274569630622864},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.45179012417793274},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.4497782588005066},{"id":"https://openalex.org/C105344744","wikidata":"https://www.wikidata.org/wiki/Q958957","display_name":"Spread spectrum","level":3,"score":0.44598686695098877},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.4456409811973572},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4324418306350708},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3685934543609619},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3392367362976074},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.32483625411987305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2287764847278595},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19805750250816345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.150386244058609},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14095625281333923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12959858775138855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12852463126182556},{"id":"https://openalex.org/C47696715","wikidata":"https://www.wikidata.org/wiki/Q233394","display_name":"Code division multiple access","level":2,"score":0.09177342057228088},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2988287.2989169","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2988287.2989169","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2989169&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2988287.2989169","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2988287.2989169","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2989169&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2364212674","display_name":"EAGER: Spectrum Situational Awareness-Understanding the Data","funder_award_id":"1454835","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2548600503.pdf","grobid_xml":"https://content.openalex.org/works/W2548600503.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2135558587","https://openalex.org/W2405054495","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2362112362","https://openalex.org/W2131796988","https://openalex.org/W2158309751","https://openalex.org/W4224302876","https://openalex.org/W2304504342","https://openalex.org/W2952843659","https://openalex.org/W2150528929","https://openalex.org/W1993680099","https://openalex.org/W2378348687","https://openalex.org/W2131832797"],"abstract_inverted_index":{"For":[0],"improved":[1,19],"spectrum":[2,9,14,25,35,112],"utilization,":[3],"the":[4,23,32,46,85,106,119,129,136,139],"key":[5],"technique":[6],"for":[7,83,109],"acquiring":[8],"situational":[10],"awareness":[11],"(SSA)":[12],"--":[13,16],"sensing":[15,36,113],"is":[17],"greatly":[18],"by":[20,99],"cooperation":[21],"among":[22],"active":[24],"users,":[26],"as":[27],"network":[28],"size":[29],"increases.":[30],"However,":[31],"many":[33],"cooperative":[34],"(CSS)":[37],"schemes":[38],"that":[39],"have":[40],"been":[41],"proposed":[42,120],"are":[43],"based":[44],"on":[45,116,135],"assumptions":[47],"of":[48,60,67,70,87,138],"accurate":[49],"noise":[50,56,88,145],"power":[51,89,96],"estimates,":[52],"characterizable":[53],"variation":[54],"in":[55,74,144],"level":[57],"and":[58,93,146],"absence":[59],"false":[61],"or":[62],"malicious":[63],"users.":[64],"As":[65],"part":[66],"a":[68,80],"series":[69],"SSA":[71],"research":[72,76],"projects,":[73],"this":[75],"work,":[77],"we":[78],"propose":[79],"novel":[81],"scheme":[82,104,121],"minimizing":[84],"effects":[86],"estimation":[90],"error":[91],"(NPEE)":[92],"received":[94],"signal":[95,147],"falsification":[97],"(RSPF)":[98],"energy-based":[100],"reliability":[101],"evaluation.":[102],"The":[103],"adopts":[105],"Voting":[107],"rule":[108],"fusing":[110],"multiple":[111],"data.":[114],"Based":[115],"simulation":[117],"results,":[118],"yields":[122],"significant":[123],"improvement,":[124],"68.2":[125],"-":[126],"88.8%,":[127],"over":[128],"conventional":[130],"CSS":[131],"schemes,":[132],"when":[133],"compared":[134],"basis":[137],"schemes'":[140],"stability":[141],"to":[142],"uncertainties":[143],"power.":[148]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
