{"id":"https://openalex.org/W2016696546","doi":"https://doi.org/10.1109/glocom.2012.6503330","title":"A group testing based spectrum hole search using a simple sub-Nyquist sampling scheme","display_name":"A group testing based spectrum hole search using a simple sub-Nyquist sampling scheme","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2016696546","doi":"https://doi.org/10.1109/glocom.2012.6503330","mag":"2016696546"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2012.6503330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2012.6503330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Global Communications Conference (GLOBECOM)","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/A5057818451","display_name":"Abhay Sharma","orcid":"https://orcid.org/0000-0002-4646-1107"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhay Sharma","raw_affiliation_strings":["Dept. of ECE, Indian Institute of Science, Bangalore 560 012, India","Department of ECE, Indian Institute of Science, Bangalore 560 012, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Indian Institute of Science, Bangalore 560 012, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of ECE, Indian Institute of Science, Bangalore 560 012, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052103809","display_name":"Chandra R. Murthy","orcid":"https://orcid.org/0000-0003-4901-9434"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra R. Murthy","raw_affiliation_strings":["Dept. of ECE, Indian Institute of Science, Bangalore 560 012, India","Department of ECE, Indian Institute of Science, Bangalore 560 012, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Indian Institute of Science, Bangalore 560 012, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of ECE, Indian Institute of Science, Bangalore 560 012, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.05,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76107499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1526","last_page":"1531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9976000189781189,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9965999722480774,"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/algorithm","display_name":"Algorithm","score":0.6455402970314026},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5066950917243958},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.487736314535141},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.478712797164917},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4700431227684021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4623379111289978},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.4386104941368103},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4343401789665222},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.42276668548583984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41931259632110596},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.2665136456489563},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16539737582206726},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.1369902491569519},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11913672089576721}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6455402970314026},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5066950917243958},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.487736314535141},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.478712797164917},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4700431227684021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4623379111289978},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.4386104941368103},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4343401789665222},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.42276668548583984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41931259632110596},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.2665136456489563},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16539737582206726},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.1369902491569519},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11913672089576721}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/glocom.2012.6503330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2012.6503330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:47875","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2016696546","https://openalex.org/W2041682996","https://openalex.org/W2045794391","https://openalex.org/W2101840010","https://openalex.org/W2122274174","https://openalex.org/W2123629701","https://openalex.org/W2130660500","https://openalex.org/W2153620960","https://openalex.org/W2155999145"],"related_works":["https://openalex.org/W2996441418","https://openalex.org/W4286614785","https://openalex.org/W3084192357","https://openalex.org/W2387422968","https://openalex.org/W2119250743","https://openalex.org/W2017105170","https://openalex.org/W3041189382","https://openalex.org/W3208656470","https://openalex.org/W1999380194","https://openalex.org/W4375854110"],"abstract_inverted_index":{"In":[0],"this":[1,104,119],"paper,":[2],"we":[3,143],"consider":[4],"the":[5,47,52,81,99,106,109,145,150,156,167,178,182,200,209,213],"problem":[6],"of":[7,12,21,59,83,101,108,133,160,208],"finding":[8],"a":[9,13,17,25,38,57,63,77,122,131,171,194,205],"spectrum":[10,39,115,134,139],"hole":[11,40,140],"specified":[14],"bandwidth":[15],"in":[16,46,51,62,76,130,203],"given":[18,172],"wide":[19],"band":[20],"interest.":[22],"We":[23,117,220],"propose":[24],"new,":[26],"simple":[27],"and":[28,37,103,162,180],"easily":[29],"implementable":[30],"sub-Nyquist":[31],"sampling":[32,67],"scheme":[33,68],"for":[34],"signal":[35,73,78],"acquisition":[36],"search":[41],"algorithm":[42,111,125],"that":[43,79,126],"exploits":[44],"sparsity":[45,179],"primary":[48],"spectral":[49],"occupancy":[50,96],"frequency":[53],"domain":[54],"by":[55],"testing":[56],"group":[58,100,163,210,214],"adjacent":[60,86],"subbands":[61],"single":[64],"test.":[65],"The":[66],"deliberately":[69],"introduces":[70],"aliasing":[71],"during":[72],"acquisition,":[74],"resulting":[75],"is":[80,202,216],"sum":[82],"signals":[84],"from":[85],"sub-bands.":[87],"Energy-based":[88],"hypothesis":[89,151],"tests":[90,152],"are":[91],"used":[92],"to":[93,112,121,148,155,165,187,193,218],"provide":[94,144],"an":[95],"decision":[97],"over":[98],"subbands,":[102],"forms":[105],"basis":[107],"proposed":[110,183],"find":[113],"contiguous":[114],"holes.":[116],"extend":[118],"framework":[120],"multi-stage":[123],"sensing":[124,135],"can":[127,185],"be":[128],"employed":[129],"variety":[132],"scenarios,":[136],"including":[137],"non-contiguous":[138],"search.":[141],"Further,":[142],"analytical":[146,223],"means":[147],"optimize":[149],"with":[153],"respect":[154],"detection":[157,168,190,198],"thresholds,":[158],"number":[159],"samples":[161],"size":[164,215],"minimize":[166],"delay":[169],"under":[170],"error":[173],"rate":[174],"constraint.":[175],"Depending":[176],"on":[177],"SNR,":[181],"algorithms":[184],"lead":[186],"significantly":[188],"lower":[189],"delays":[191],"compared":[192],"conventional":[195],"bin-by-bin":[196],"energy":[197],"scheme;":[199],"latter":[201],"fact":[204],"special":[206],"case":[207],"test":[211],"when":[212],"set":[217],"1.":[219],"validate":[221],"our":[222],"results":[224],"via":[225],"Monte":[226],"Carlo":[227],"simulations.":[228]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
