{"id":"https://openalex.org/W4225699678","doi":"https://doi.org/10.1109/twc.2022.3164800","title":"Machine Learning Empowered Spectrum Sensing Under a Sub-Sampling Framework","display_name":"Machine Learning Empowered Spectrum Sensing Under a Sub-Sampling Framework","publication_year":2022,"publication_date":"2022-04-12","ids":{"openalex":"https://openalex.org/W4225699678","doi":"https://doi.org/10.1109/twc.2022.3164800"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2022.3164800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2022.3164800","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-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/A5100399277","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0002-0171-0819"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Han Zhang","raw_affiliation_strings":["Institute for Communication Systems, University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0171-0819","affiliations":[{"raw_affiliation_string":"Institute for Communication Systems, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101744546","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-1756-5361"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","Institute for Communication Systems, University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-1756-5361","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Institute for Communication Systems, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075109962","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0001-6502-9910"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yue Gao","raw_affiliation_strings":["Institute for Communication Systems, University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6502-9910","affiliations":[{"raw_affiliation_string":"Institute for Communication Systems, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100399277"],"corresponding_institution_ids":["https://openalex.org/I28290843"],"apc_list":null,"apc_paid":null,"fwci":3.3226,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92628098,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"10","first_page":"8205","last_page":"8215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.995199978351593,"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/compressed-sensing","display_name":"Compressed sensing","score":0.851290225982666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7374014258384705},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6668136119842529},{"id":"https://openalex.org/keywords/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.6234859228134155},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.6019765734672546},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5505613684654236},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5267614126205444},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.504210352897644},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.47260788083076477},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44285014271736145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3378142714500427},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23912009596824646},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.08307889103889465}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.851290225982666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374014258384705},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6668136119842529},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.6234859228134155},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.6019765734672546},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5505613684654236},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5267614126205444},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.504210352897644},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.47260788083076477},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44285014271736145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3378142714500427},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23912009596824646},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.08307889103889465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/twc.2022.3164800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2022.3164800","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},{"id":"pmh:oai:alma.44SUR_INST:11161200900002346","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3145248118","display_name":null,"funder_award_id":"EP/R00711X/2","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4646286159","display_name":"GBSense: GHz Bandwidth Sensing from Smart Antennas to Sub-Nyquist Signal Processing","funder_award_id":"EP/R00711X/2","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1965224799","https://openalex.org/W1996692478","https://openalex.org/W2003688737","https://openalex.org/W2101234009","https://openalex.org/W2114129195","https://openalex.org/W2117539524","https://openalex.org/W2123293489","https://openalex.org/W2123629701","https://openalex.org/W2138953932","https://openalex.org/W2141116650","https://openalex.org/W2194775991","https://openalex.org/W2335894546","https://openalex.org/W2338392543","https://openalex.org/W2345844278","https://openalex.org/W2511058381","https://openalex.org/W2562137921","https://openalex.org/W2592882403","https://openalex.org/W2602689265","https://openalex.org/W2738804248","https://openalex.org/W2746433858","https://openalex.org/W2759123086","https://openalex.org/W2884001105","https://openalex.org/W2909712920","https://openalex.org/W2919115771","https://openalex.org/W2963246369","https://openalex.org/W2967243960","https://openalex.org/W2981313366","https://openalex.org/W3014688046","https://openalex.org/W3018775879","https://openalex.org/W3096801155","https://openalex.org/W3104922853","https://openalex.org/W3112924872","https://openalex.org/W3198001744","https://openalex.org/W3198599344","https://openalex.org/W6675354045","https://openalex.org/W6713082933","https://openalex.org/W6758685805","https://openalex.org/W6775492187","https://openalex.org/W6776828031","https://openalex.org/W7057560601"],"related_works":["https://openalex.org/W2393783098","https://openalex.org/W2071548530","https://openalex.org/W2497512603","https://openalex.org/W2543797074","https://openalex.org/W2568992563","https://openalex.org/W2354835911","https://openalex.org/W2006987799","https://openalex.org/W2081579692","https://openalex.org/W2468414543","https://openalex.org/W3000185773"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1],"(CS)":[2],"is":[3,122],"a":[4,14,79,101,117],"technique":[5],"frequently":[6],"adopted":[7],"in":[8,85],"wireless":[9],"communications.":[10],"By":[11],"utilizing":[12],"CS,":[13],"receiver":[15],"could":[16],"sense":[17],"the":[18,54,68,96],"state":[19],"of":[20],"channels":[21],"with":[22,36,59,113],"sub-Nyquist":[23],"analog":[24],"to":[25,40,52],"digital":[26],"converters":[27],"when":[28],"signals":[29,38],"are":[30],"sparse.":[31],"Traditional":[32],"CS":[33,70,81,107],"methods":[34],"struggle":[35],"non-sparse":[37],"due":[39],"their":[41],"intrinsic":[42],"sparsity":[43],"assumption.":[44],"Therefore,":[45],"we":[46],"propose":[47],"using":[48],"deep":[49],"learning":[50],"(DL)":[51],"solve":[53],"vector":[55],"support":[56],"recovery":[57],"problem":[58],"channels\u2019":[60],"high":[61,86,114],"occupancy.":[62],"The":[63],"simulation":[64],"results":[65],"show":[66],"that":[67,95],"proposed":[69],"framework":[71],"powered":[72],"by":[73],"DL":[74],"can":[75,98],"perform":[76],"better":[77],"than":[78,105],"traditional":[80,106],"analytical":[82],"benchmark,":[83],"both":[84],"and":[87,119],"low":[88],"channel":[89,115],"occupation":[90],"regions.":[91],"We":[92],"also":[93],"observe":[94],"ML":[97],"work":[99],"under":[100],"lower":[102],"sampling":[103],"rate":[104],"methods.":[108],"To":[109],"process":[110],"data":[111],"sampled":[112],"numbers,":[116],"divide":[118],"conquer":[120],"tactic":[121],"implemented.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}