{"id":"https://openalex.org/W2785897706","doi":"https://doi.org/10.1109/vtcfall.2017.8287977","title":"Near Optimal Distributed Cooperative Spectrum Sensing and Access: A Benefit-and-Compensation Approach","display_name":"Near Optimal Distributed Cooperative Spectrum Sensing and Access: A Benefit-and-Compensation Approach","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2785897706","doi":"https://doi.org/10.1109/vtcfall.2017.8287977","mag":"2785897706"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2017.8287977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8287977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","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/A5101851956","display_name":"Yuli Zhang","orcid":"https://orcid.org/0000-0001-9060-9933"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuli Zhang","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, China","Science and Technology on Communication Networks Laboratory, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"Science and Technology on Communication Networks Laboratory, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019608888","display_name":"Yuhua Xu","orcid":"https://orcid.org/0000-0002-4930-940X"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Xu","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, China","Science and Technology on Communication Networks Laboratory, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"Science and Technology on Communication Networks Laboratory, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100785098","display_name":"Qihui Wu","orcid":"https://orcid.org/0000-0002-9521-5084"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihui Wu","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074463174","display_name":"Alagan Anpalagan","orcid":"https://orcid.org/0000-0002-6646-6052"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alagan Anpalagan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102020220","display_name":"Shuo Feng","orcid":"https://orcid.org/0000-0003-0058-3835"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shuo Feng","raw_affiliation_strings":["Cognitive Systems Laboratory, McMaster University, Canada"],"affiliations":[{"raw_affiliation_string":"Cognitive Systems Laboratory, McMaster University, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101851956"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":0.2072,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60285139,"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":"1","last_page":"7"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9991000294685364,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9922999739646912,"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/fusion-center","display_name":"Fusion center","score":0.7905887365341187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7862637042999268},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7445260882377625},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.7170426249504089},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5716376900672913},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.5010442733764648},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4882090389728546},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48749351501464844},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39300641417503357},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3249414563179016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23890221118927002},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17058217525482178},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.15572860836982727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11577877402305603}],"concepts":[{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.7905887365341187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7862637042999268},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7445260882377625},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.7170426249504089},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5716376900672913},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.5010442733764648},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4882090389728546},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48749351501464844},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39300641417503357},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3249414563179016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23890221118927002},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17058217525482178},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.15572860836982727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11577877402305603},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2017.8287977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8287977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1855445777","https://openalex.org/W1970141713","https://openalex.org/W1977656473","https://openalex.org/W1977682786","https://openalex.org/W1993602208","https://openalex.org/W2011383489","https://openalex.org/W2019154447","https://openalex.org/W2039853493","https://openalex.org/W2071707134","https://openalex.org/W2075424530","https://openalex.org/W2119983864","https://openalex.org/W2131965548","https://openalex.org/W2153461654","https://openalex.org/W2153620960","https://openalex.org/W2168078104","https://openalex.org/W2520333689","https://openalex.org/W2951498267","https://openalex.org/W3019114926","https://openalex.org/W3125429825"],"related_works":["https://openalex.org/W2098233271","https://openalex.org/W4294642751","https://openalex.org/W2738525905","https://openalex.org/W1556853708","https://openalex.org/W2144291038","https://openalex.org/W4296266399","https://openalex.org/W2117233216","https://openalex.org/W2438107623","https://openalex.org/W2753489163","https://openalex.org/W4297533531"],"abstract_inverted_index":{"The":[0,106,133],"problem":[1],"of":[2,83,109,155],"distributed":[3,99],"and":[4,22,67,86,160],"dynamic":[5,205],"sensing":[6,19,43,100,131,157,184],"user":[7,211],"selection":[8],"in":[9,14,103],"cognitive":[10],"systems":[11],"is":[12,25,112,117,165,187,194],"studied":[13],"this":[15,104,110],"paper,":[16],"where":[17],"channel":[18,32,58,116,124,159],"consumes":[20],"resources":[21],"users":[23,28,42,46,120,156],"behavior":[24,62],"distributed.":[26],"Since":[27],"can":[29],"obtain":[30],"the":[31,35,44,49,57,72,81,123,158,162,170,174,183,191],"state":[33,135],"from":[34],"fusion":[36],"center,":[37],"if":[38],"there":[39,146],"are":[40,137,147],"other":[41],"channel,":[45],"may":[47],"enjoy":[48,80],"results":[50],"sensed":[51],"by":[52,71],"others":[53],"rather":[54],"than":[55],"sense":[56,122],"themselves.":[59],"Such":[60],"selfish":[61],"decreases":[63],"both":[64],"network":[65],"utility":[66],"individual":[68],"rewards.":[69],"Inspired":[70],"social":[73],"expectation":[74],"that":[75,87,113,145,190],"no":[76],"one":[77,88],"should":[78,89],"always":[79,148],"fruits":[82],"others'":[84,130],"labor":[85],"provide":[90],"compensation":[91,101,127],"after":[92,114],"obtaining":[93],"a":[94,98,115,126,208],"benefit,":[95],"we":[96],"propose":[97],"algorithm":[102,111,175,193],"paper.":[105],"main":[107],"concept":[108],"accessed":[118],"successfully,":[119],"must":[121],"as":[125],"for":[128,198,204],"enjoying":[129],"results.":[132],"system":[134],"probabilities":[136],"obtained":[138],"using":[139,169],"Markov":[140],"chain":[141],"analysis.":[142],"We":[143],"show":[144],"an":[149],"optimal":[150,153],"or":[151],"near":[152],"number":[154],"hence,":[161],"near-optimal":[163],"performance":[164,179],"achieved":[166],"on":[167],"average":[168],"proposed":[171,192],"algorithm.":[172],"Additionally,":[173],"achieves":[176],"good":[177],"fairness":[178],"with":[180,207],"respect":[181],"to":[182],"cost.":[185],"It":[186],"further":[188],"shown":[189],"not":[195],"only":[196],"suitable":[197],"static":[199],"scenarios":[200,206],"but":[201],"also":[202],"adaptable":[203],"changing":[209],"active":[210],"set.":[212]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
