{"id":"https://openalex.org/W2103584668","doi":"https://doi.org/10.1109/vetecs.2011.5956336","title":"Optimal and Low-Complexity Algorithms for Dynamic Spectrum Access in Centralized Cognitive Radio Networks with Fading Channels","display_name":"Optimal and Low-Complexity Algorithms for Dynamic Spectrum Access in Centralized Cognitive Radio Networks with Fading Channels","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2103584668","doi":"https://doi.org/10.1109/vetecs.2011.5956336","mag":"2103584668"},"language":"en","primary_location":{"id":"doi:10.1109/vetecs.2011.5956336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vetecs.2011.5956336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 73rd Vehicular Technology Conference (VTC Spring)","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/A5006714926","display_name":"Mario Bkassiny","orcid":"https://orcid.org/0000-0002-7487-2923"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mario Bkassiny","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA","[Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA]","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057344039","display_name":"Sudharman K. Jayaweera","orcid":"https://orcid.org/0000-0002-9126-0304"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudharman K. Jayaweera","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA","[Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA]","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010765846","display_name":"Yang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA","[Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA]","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057583022","display_name":"Keith Avery","orcid":null},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keith A. Avery","raw_affiliation_strings":["Space Vehicle Directorate, Air Force Research Laboratory, Albuquerque, NM, USA","Space Vehicle Directorate, Air Force Res. Lab. (AFRL), Kirtland AFB, NM, USA"],"affiliations":[{"raw_affiliation_string":"Space Vehicle Directorate, Air Force Research Laboratory, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Space Vehicle Directorate, Air Force Res. Lab. (AFRL), Kirtland AFB, NM, USA","institution_ids":["https://openalex.org/I1280414376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006714926"],"corresponding_institution_ids":["https://openalex.org/I169521973"],"apc_list":null,"apc_paid":null,"fwci":2.1925,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8840045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9907000064849854,"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.8956022262573242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7079034447669983},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6899851560592651},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.6529644131660461},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.6075214743614197},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5700193047523499},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.536048948764801},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4515305757522583},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.44413435459136963},{"id":"https://openalex.org/keywords/white-spaces","display_name":"White spaces","score":0.4236745834350586},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.38293707370758057},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36014747619628906},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2914334237575531},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.25474047660827637},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2337038218975067},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.15434500575065613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14724019169807434},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09274792671203613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0802975594997406}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8956022262573242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7079034447669983},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6899851560592651},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.6529644131660461},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.6075214743614197},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5700193047523499},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.536048948764801},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4515305757522583},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.44413435459136963},{"id":"https://openalex.org/C96391052","wikidata":"https://www.wikidata.org/wiki/Q256313","display_name":"White spaces","level":4,"score":0.4236745834350586},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.38293707370758057},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36014747619628906},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2914334237575531},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.25474047660827637},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2337038218975067},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.15434500575065613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14724019169807434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09274792671203613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0802975594997406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vetecs.2011.5956336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vetecs.2011.5956336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 73rd Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.840.2765","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.840.2765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dtic.mil/get-tr-doc/pdf?AD%3DADA560304%26Location%3DU2%26doc%3DGetTRDoc.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1590772317","https://openalex.org/W2034725503","https://openalex.org/W2127593435","https://openalex.org/W2142819538","https://openalex.org/W2163599171","https://openalex.org/W2164701487","https://openalex.org/W2170705708","https://openalex.org/W2222512263","https://openalex.org/W3133603318"],"related_works":["https://openalex.org/W1994734174","https://openalex.org/W2116441277","https://openalex.org/W2054318779","https://openalex.org/W2176656248","https://openalex.org/W1526281004","https://openalex.org/W2298116686","https://openalex.org/W2693773189","https://openalex.org/W2229545378","https://openalex.org/W2111066923","https://openalex.org/W2067431740"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"develop":[4],"a":[5,20,32,42,60,74,186,210,216,229,241,245],"centralized":[6],"spectrum":[7,135],"sensing":[8,37,68,115,163,184,188,225],"and":[9,66,106,116,122,141,149,156],"Dynamic":[10],"Spectrum":[11],"Access":[12],"(DSA)":[13],"scheme":[14],"for":[15,98],"secondary":[16,79,99],"users":[17,100],"(SUs)":[18],"in":[19,248],"Cognitive":[21],"Radio":[22],"(CR)":[23],"network.":[24],"Assuming":[25],"that":[26,51,84,219,236],"the":[27,35,67,78,86,93,103,107,143,147,177,181,194,200,203,221,224,237],"primary":[28,104,134,154,170],"channel":[29,36,58,87,95,109,183,204],"occupancy":[30],"follows":[31],"Markovian":[33],"evolution,":[34],"problem":[38],"is":[39,158,190],"modeled":[40],"as":[41],"Partially":[43],"Observable":[44],"Markov":[45],"Decision":[46],"Process":[47],"(POMDP).":[48],"We":[49,90,213],"assume":[50],"each":[52],"SU":[53],"can":[54],"sense":[55,102],"only":[56],"one":[57],"at":[59],"time":[61],"by":[62,192],"using":[63,193],"energy":[64],"detection,":[65],"outcomes":[69],"are":[70],"then":[71],"reported":[72],"to":[73,101,176,209,228],"central":[75],"unit,":[76],"called":[77],"system":[80],"decision":[81],"center":[82],"(SSDC),":[83],"determines":[85],"sensing/accessing":[88],"policies.":[89],"derive":[91],"both":[92],"optimal":[94,108,114,182],"assignment":[96,205],"policy":[97,189,226],"channels,":[105,155],"access":[110],"rule.":[111],"Our":[112],"proposed":[113,144,238],"accessing":[117],"policies":[118],"alleviate":[119],"many":[120],"shortcomings":[121],"limitations":[123],"of":[124,169,180,202,223],"existing":[125],"proposals:":[126],"(a)":[127],"ours":[128],"allows":[129],"fully":[130],"utilizing":[131],"all":[132],"available":[133],"white":[136],"spaces,":[137],"(b)":[138],"our":[139],"model,":[140],"thus":[142],"solution,":[145],"exploits":[146],"temporal":[148],"spatial":[150],"diversity":[151],"across":[152],"different":[153],"(c)":[157],"based":[159],"on":[160],"realistic":[161],"local":[162],"decisions":[164],"rather":[165],"than":[166],"complete":[167],"knowledge":[168],"signalling":[171],"structure.":[172],"As":[173],"an":[174,207],"alternative":[175],"high":[178],"complexity":[179,201,222],"policy,":[185],"suboptimal":[187],"obtained":[191],"Hungarian":[195],"algorithm":[196,218],"iteratively,":[197],"which":[198],"reduces":[199,220],"from":[206],"exponential":[208],"polynomial":[211],"order.":[212,231],"also":[214],"propose":[215],"heuristic":[217],"further":[227],"linear":[230],"The":[232],"simulation":[233],"results":[234],"show":[235],"algorithms":[239],"achieve":[240],"near-optimal":[242],"performance":[243],"with":[244],"significant":[246],"reduction":[247],"computational":[249],"time.":[250]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
