{"id":"https://openalex.org/W2133388203","doi":"https://doi.org/10.1109/pimrc.2009.5449995","title":"Multi-channel myopic sensing for opportunistic spectrum access using channel correlation","display_name":"Multi-channel myopic sensing for opportunistic spectrum access using channel correlation","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2133388203","doi":"https://doi.org/10.1109/pimrc.2009.5449995","mag":"2133388203"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2009.5449995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2009.5449995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications","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/A5112112623","display_name":"Hao Zhao","orcid":"https://orcid.org/0009-0006-5607-4254"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Zhao","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002713029","display_name":"Tao Luo","orcid":"https://orcid.org/0000-0003-4870-5942"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Luo","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055908813","display_name":"Guangxin Yue","orcid":"https://orcid.org/0000-0002-8204-0385"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangxin Yue","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112112623"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18631395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"696","last_page":"700"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","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"}},{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9883999824523926,"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/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.8989977836608887},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.8106958866119385},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7758029699325562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7211881875991821},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5781511664390564},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.571083664894104},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5038573145866394},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4528712332248688},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.41152167320251465},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39506831765174866},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.3755429685115814},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2256823480129242},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18610993027687073},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1511515974998474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14830735325813293},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08886873722076416}],"concepts":[{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.8989977836608887},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8106958866119385},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7758029699325562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211881875991821},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5781511664390564},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.571083664894104},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5038573145866394},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4528712332248688},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.41152167320251465},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39506831765174866},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.3755429685115814},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2256823480129242},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18610993027687073},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1511515974998474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14830735325813293},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08886873722076416},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2009.5449995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2009.5449995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1969247449","https://openalex.org/W1972707086","https://openalex.org/W2034725503","https://openalex.org/W2061992737","https://openalex.org/W2118726574","https://openalex.org/W2136894269","https://openalex.org/W2142340436","https://openalex.org/W2142819538","https://openalex.org/W2143915371","https://openalex.org/W2153620960","https://openalex.org/W2167748975","https://openalex.org/W2182692758","https://openalex.org/W6658985202"],"related_works":["https://openalex.org/W2116441277","https://openalex.org/W2176656248","https://openalex.org/W2298116686","https://openalex.org/W2693773189","https://openalex.org/W1526281004","https://openalex.org/W2067431740","https://openalex.org/W2349017599","https://openalex.org/W3126873283","https://openalex.org/W2540690809","https://openalex.org/W4376457996"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,15,21,29,34,38,53,69,92,102,119,139,149,155,158],"issue":[3],"of":[4,33,62,73,141,157],"opportunistic":[5],"spectrum":[6,142],"access":[7],"(OSA)":[8],"in":[9],"cognitive":[10],"radio":[11],"network.":[12],"By":[13,100],"modeling":[14],"channel":[16,30,63,75,87,103],"occupancy":[17,72],"states":[18],"induced":[19],"by":[20],"primary":[22],"users":[23,36,160],"as":[24,44,161],"a":[25,45,60],"discrete-time":[26],"Markov":[27,48],"process,":[28],"selection":[31,64],"scheme":[32],"secondary":[35,159],"at":[37],"MAC":[39],"layer":[40,134],"can":[41,153],"be":[42],"formulated":[43],"partially":[46],"observable":[47],"decision":[49],"process":[50],"(POMDP).":[51],"Under":[52],"POMDP":[54],"framework,":[55],"myopic":[56,110],"sensing":[57,111,126,143,151],"(which":[58],"is":[59,66],"kind":[61],"scheme)":[65],"adopted":[67],"with":[68,114,121,136],"assumption":[70],"that":[71,148],"each":[74],"evolves":[76],"independently.":[77],"In":[78],"this":[79],"paper,":[80],"differing":[81],"from":[82],"former":[83],"research":[84],"assuming":[85],"independent":[86],"occupancy,":[88],"we":[89,106],"investigate":[90],"into":[91],"case":[93],"when":[94],"correlation":[95,104],"exists":[96],"across":[97],"different":[98,132],"channels.":[99],"exploiting":[101],"information,":[105],"propose":[107],"two":[108],"multi-channel":[109],"policies:":[112],"one":[113],"full-dimension":[115],"belief":[116,123],"vector,":[117],"and":[118],"other":[120],"reduced-dimension":[122],"vector.":[124],"The":[125],"policies":[127,152],"are":[128],"given":[129],"out":[130],"under":[131],"PHY":[133],"conditions:":[135],"or":[137],"without":[138],"presence":[140],"error.":[144],"Simulation":[145],"results":[146],"illustrate":[147],"proposed":[150],"improve":[154],"throughput":[156],"time":[162],"increases.":[163]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}