{"id":"https://openalex.org/W3017253757","doi":"https://doi.org/10.1109/tccn.2020.2988479","title":"Quantized Soft-Decision-Based Compressive Reporting Design for Underlay/Overlay Cooperative Cognitive Radio Networks","display_name":"Quantized Soft-Decision-Based Compressive Reporting Design for Underlay/Overlay Cooperative Cognitive Radio Networks","publication_year":2020,"publication_date":"2020-04-17","ids":{"openalex":"https://openalex.org/W3017253757","doi":"https://doi.org/10.1109/tccn.2020.2988479","mag":"3017253757"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2020.2988479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2020.2988479","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5030493521","display_name":"Xiaoge Wu","orcid":"https://orcid.org/0000-0001-8215-9506"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoge Wu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8215-9506","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088699170","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0002-5303-0639"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","Shandong Provincial Key Laboratory of Wireless Communication Technologies, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-5303-0639","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Wireless Communication Technologies, Jinan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031071245","display_name":"Zhiqiang Wu","orcid":"https://orcid.org/0000-0001-9055-5680"},"institutions":[{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]},{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhiqiang Wu","raw_affiliation_strings":["Department of Electrical Engineering, Tibet University, Lhasa, China","Department of Electrical Engineering, Wright State University, Dayton, USA"],"raw_orcid":"https://orcid.org/0000-0001-9055-5680","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tibet University, Lhasa, China","institution_ids":["https://openalex.org/I140786321"]},{"raw_affiliation_string":"Department of Electrical Engineering, Wright State University, Dayton, USA","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5455,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8386696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"3","first_page":"1044","last_page":"1055"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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/underlay","display_name":"Underlay","score":0.8888353109359741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8238157629966736},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.7755654454231262},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.6539148688316345},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.6214478015899658},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5893969535827637},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4964447617530823},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.43567055463790894},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3929554522037506},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.3921661078929901},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39114269614219666},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33452939987182617},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.2865321636199951},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24370884895324707},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2389630675315857},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1525973081588745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08982717990875244}],"concepts":[{"id":"https://openalex.org/C2777679929","wikidata":"https://www.wikidata.org/wiki/Q7883709","display_name":"Underlay","level":3,"score":0.8888353109359741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8238157629966736},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.7755654454231262},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.6539148688316345},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.6214478015899658},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5893969535827637},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4964447617530823},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.43567055463790894},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3929554522037506},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.3921661078929901},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39114269614219666},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33452939987182617},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2865321636199951},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24370884895324707},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2389630675315857},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1525973081588745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08982717990875244},{"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:10.1109/tccn.2020.2988479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2020.2988479","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G8006426772","display_name":null,"funder_award_id":"61602531","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G90874805","display_name":"EAGER:   Bio-inspired Low Probability of Detection Secure RF Waveform Design","funder_award_id":"1748494","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"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1964769000","https://openalex.org/W1981003762","https://openalex.org/W2003688737","https://openalex.org/W2030500923","https://openalex.org/W2036940593","https://openalex.org/W2045064825","https://openalex.org/W2051040090","https://openalex.org/W2059283901","https://openalex.org/W2068136251","https://openalex.org/W2078204800","https://openalex.org/W2087402842","https://openalex.org/W2107212345","https://openalex.org/W2150498905","https://openalex.org/W2152707865","https://openalex.org/W2154614876","https://openalex.org/W2169877013","https://openalex.org/W2189477320","https://openalex.org/W2296616510","https://openalex.org/W2340718617","https://openalex.org/W2514677920","https://openalex.org/W2541890633","https://openalex.org/W2553535241","https://openalex.org/W2583021161","https://openalex.org/W2791869194","https://openalex.org/W2890577367","https://openalex.org/W2910347772","https://openalex.org/W2916294205","https://openalex.org/W2963565378","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2470213802","https://openalex.org/W1599626576","https://openalex.org/W2921979903","https://openalex.org/W1597460884","https://openalex.org/W2062311788","https://openalex.org/W2916607718","https://openalex.org/W2603183395","https://openalex.org/W2942764970","https://openalex.org/W1954142085","https://openalex.org/W3118047548"],"abstract_inverted_index":{"Cooperative":[0],"spectrum":[1,19,27,43],"sensing":[2,28,61,80,85,101,161,193],"(CSS)":[3],"systems":[4],"use":[5],"underlay":[6,23],"or":[7,13],"overlay":[8,25],"strategies":[9],"to":[10,16,40,71,76,82,105,155,158],"identify":[11],"underused":[12],"unused":[14],"bands":[15],"achieve":[17],"higher":[18],"utilization.":[20],"In":[21,48],"hybrid":[22,66],"and":[24,33,62,87,112,175,185,196],"systems,":[26],"results":[29,81,162,180],"may":[30,144],"be":[31],"sparse":[32],"a":[34,53,73],"general":[35,54,74],"reporting":[36,63],"strategy":[37,64],"is":[38,70,133],"required":[39],"take":[41],"multiple":[42,106],"usage":[44],"status":[45],"into":[46],"account.":[47],"this":[49,97],"paper,":[50],"we":[51,151],"propose":[52,152],"quantized":[55,104],"soft":[56,100],"decision":[57,194],"(QSD)":[58],"based":[59],"compressive":[60],"for":[65],"systems.":[67],"Our":[68],"objective":[69],"provide":[72],"framework":[75],"report":[77],"more":[78],"reliable":[79],"improve":[83],"the":[84,89,93,99,115,123,126,128,182,192,198],"precision":[86,195],"reduce":[88],"collision":[90,199],"probability":[91],"with":[92,163],"low":[94],"complexity.":[95],"To":[96],"end,":[98],"decisions":[102],"are":[103,110,167],"levels,":[107],"then":[108],"they":[109],"compressed":[111],"encoded,":[113],"while":[114],"characteristic":[116],"information":[117],"of":[118,125,148],"secondary":[119],"users":[120,143],"(SUs)":[121],"including":[122],"index":[124],"SUs,":[127],"interference":[129],"tolerance":[130],"level":[131],"etc,":[132],"transmitted":[134],"over":[135,169],"equivalent":[136],"bit":[137],"channels.":[138,178],"Furthermore,":[139],"considering":[140],"that":[141,187],"different":[142,146,164],"have":[145],"quality":[147],"service":[149],"requirements,":[150],"four":[153],"methods":[154],"allow":[156],"SUs":[157],"deliver":[159],"local":[160],"precisions.":[165],"Simulations":[166],"performed":[168],"additive":[170],"white":[171],"Gaussian":[172],"noise":[173],"(AWGN)":[174],"Rayleigh":[176],"fading":[177],"The":[179],"validate":[181],"theoretical":[183],"analysis,":[184],"demonstrate":[186],"our":[188],"scheme":[189],"effectively":[190],"improves":[191],"reduces":[197],"probability.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
