{"id":"https://openalex.org/W4407783978","doi":"https://doi.org/10.1109/comsnets63942.2025.10885720","title":"Robust Entropy-Based Detectors for Cooperative Wideband Compressive Spectrum Sensing under Laplacian Noise","display_name":"Robust Entropy-Based Detectors for Cooperative Wideband Compressive Spectrum Sensing under Laplacian Noise","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4407783978","doi":"https://doi.org/10.1109/comsnets63942.2025.10885720"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets63942.2025.10885720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","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/A5082734171","display_name":"Bandaru Bhavana","orcid":"https://orcid.org/0000-0003-0844-4661"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Bandaru Bhavana","raw_affiliation_strings":["CASEST University of Hyderabad,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"CASEST University of Hyderabad,Hyderabad,India","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007129673","display_name":"Samrat L. Sabat","orcid":"https://orcid.org/0000-0002-1197-2943"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samrat L. Sabat","raw_affiliation_strings":["CASEST University of Hyderabad,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"CASEST University of Hyderabad,Hyderabad,India","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014087539","display_name":"Swetha Namburu","orcid":"https://orcid.org/0000-0001-6364-4207"},"institutions":[{"id":"https://openalex.org/I4210136352","display_name":"Human Factors International (India)","ror":"https://ror.org/02yt5we53","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210136352"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swetha Namburu","raw_affiliation_strings":["Data Scientist Weatherford International,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Data Scientist Weatherford International,Mumbai,India","institution_ids":["https://openalex.org/I4210136352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051610178","display_name":"Trilochan Panigrahi","orcid":"https://orcid.org/0000-0003-0369-1532"},"institutions":[{"id":"https://openalex.org/I4210109276","display_name":"National Institute of Technology Goa","ror":"https://ror.org/01vmfpj79","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109276"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Trilochan Panigrahi","raw_affiliation_strings":["National Institute of Technology,Dept. of ECE,Goa,India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology,Dept. of ECE,Goa,India","institution_ids":["https://openalex.org/I4210109276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082734171"],"corresponding_institution_ids":["https://openalex.org/I36893310"],"apc_list":null,"apc_paid":null,"fwci":1.6937,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81885057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"886","last_page":"890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9972000122070312,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9972000122070312,"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/T10500","display_name":"Sparse and Compressive Sensing 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/T12146","display_name":"Power Line Communications and Noise","score":0.9879000186920166,"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/wideband","display_name":"Wideband","score":0.7865337133407593},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6101794838905334},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6020357608795166},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5455909967422485},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.472443163394928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46376916766166687},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45320916175842285},{"id":"https://openalex.org/keywords/noise-spectrum","display_name":"Noise spectrum","score":0.4433523416519165},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.41349518299102783},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3762660622596741},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3562089204788208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.272225558757782},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21833977103233337},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.16652271151542664},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13773471117019653}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.7865337133407593},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6101794838905334},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6020357608795166},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5455909967422485},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.472443163394928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46376916766166687},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45320916175842285},{"id":"https://openalex.org/C2983980114","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Noise spectrum","level":3,"score":0.4433523416519165},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.41349518299102783},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3762660622596741},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3562089204788208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.272225558757782},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21833977103233337},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.16652271151542664},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13773471117019653},{"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/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/comsnets63942.2025.10885720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320767","display_name":"University Grants Commission","ror":"https://ror.org/04p800546"},{"id":"https://openalex.org/F4320324655","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1967718956","https://openalex.org/W1982031488","https://openalex.org/W2003688737","https://openalex.org/W2006554558","https://openalex.org/W2030967152","https://openalex.org/W2048236741","https://openalex.org/W2103781515","https://openalex.org/W2110567841","https://openalex.org/W2286900311","https://openalex.org/W2513029389","https://openalex.org/W2789516494","https://openalex.org/W2894036190","https://openalex.org/W2896654772","https://openalex.org/W2965638029","https://openalex.org/W2991006268","https://openalex.org/W3150752166","https://openalex.org/W3192979321","https://openalex.org/W4321606926","https://openalex.org/W4391889488"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W3112081258","https://openalex.org/W1976264255","https://openalex.org/W4200358983","https://openalex.org/W1483997978","https://openalex.org/W2611619770"],"abstract_inverted_index":{"In":[0],"wideband":[1],"compressive":[2],"spectrum":[3,35,58,83],"sensing":[4,36,43,59,84,128],"within":[5],"a":[6,56,86,112],"cooperative":[7,114],"cognitive":[8],"radio":[9],"network,":[10],"each":[11],"secondary":[12],"user":[13],"needs":[14],"to":[15,99],"recover":[16],"the":[17,21,42,49,117],"original":[18],"signal":[19],"from":[20],"compressed":[22],"measurement.":[23],"The":[24,105],"recovery":[25],"algorithms":[26,44],"are":[27],"computationally":[28],"complex.":[29],"To":[30],"avoid":[31],"this":[32],"complexity,":[33],"non-reconstruction-based":[34,57],"detectors":[37],"have":[38],"been":[39],"suggested.":[40],"Further,":[41,90],"detection":[45,106],"efficiency":[46],"decreases":[47],"in":[48,61,85],"non-Gaussian":[50,87,103],"noise":[51,65,88,137],"environments.":[52],"Hence,":[53],"we":[54,91],"propose":[55],"algorithm":[60],"Gaussian":[62,134],"and":[63,74,135],"Laplacian":[64,136],"models.":[66],"This":[67],"paper":[68],"uses":[69],"Parzen":[70],"window":[71],"Renyi":[72],"entropy":[73],"maximum":[75],"correntropy":[76],"criterion":[77],"(MCC)":[78],"as":[79],"test":[80],"statistics":[81],"for":[82],"environment.":[89],"employ":[92],"median":[93],"absolute":[94],"deviation":[95],"(MAD)":[96],"statistical":[97],"property":[98],"incorporate":[100],"robustness":[101],"against":[102],"noise.":[104],"performance":[107],"is":[108],"further":[109],"improved":[110],"using":[111,116],"centralized":[113],"strategy":[115],"weighted":[118],"gain":[119],"combining":[120],"rule.":[121],"Our":[122],"simulations":[123],"show":[124],"that":[125],"these":[126],"robust":[127],"methods":[129],"perform":[130],"better":[131],"under":[132],"both":[133],"when":[138],"detecting":[139],"5G":[140],"multi-carrier":[141],"signals":[142],"like":[143],"Universal":[144],"Filtered":[145],"Multi-Carrier":[146],"(UFMC),":[147],"outperforming":[148],"non-robust":[149],"alternatives.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}