{"id":"https://openalex.org/W2766788662","doi":"https://doi.org/10.1109/ccoms.2017.8075281","title":"Decentralized cognitive radio network spectrum access algorithm for throughput improvement","display_name":"Decentralized cognitive radio network spectrum access algorithm for throughput improvement","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2766788662","doi":"https://doi.org/10.1109/ccoms.2017.8075281","mag":"2766788662"},"language":"en","primary_location":{"id":"doi:10.1109/ccoms.2017.8075281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2017.8075281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 2nd International Conference on Computer and Communication Systems (ICCCS)","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/A5082017487","display_name":"Ibrahim Farrag","orcid":"https://orcid.org/0000-0001-5508-3622"},"institutions":[{"id":"https://openalex.org/I4210122785","display_name":"Canadian International College","ror":"https://ror.org/03374t109","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210122785"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Ibrahim E. Farrag","raw_affiliation_strings":["Engineering Department, Canadian International College (CIC), Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Engineering Department, Canadian International College (CIC), Cairo, Egypt","institution_ids":["https://openalex.org/I4210122785"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083657631","display_name":"Samir G. Sayed","orcid":"https://orcid.org/0000-0001-7259-3296"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["EG","GB"],"is_corresponding":false,"raw_author_name":"Samir G. Sayed","raw_affiliation_strings":["Department of Electronic & Electrical Engineering, University College London (UCL), London, UK","Department of Electronics Communications, and Computer Engineering, Helwan University, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Electronic & Electrical Engineering, University College London (UCL), London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Department of Electronics Communications, and Computer Engineering, Helwan University, Cairo, Egypt","institution_ids":["https://openalex.org/I84058292"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082017487"],"corresponding_institution_ids":["https://openalex.org/I4210122785"],"apc_list":null,"apc_paid":null,"fwci":0.2072,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57916927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"128","last_page":"132"},"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":0.9926000237464905,"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":0.9901999831199646,"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":0.9416475892066956},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.8064956665039062},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.7777125835418701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.760530948638916},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5778906345367432},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5606668591499329},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5051470398902893},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.45850545167922974},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4562079608440399},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.4180357754230499},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4104197919368744},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.3714732527732849},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19631925225257874},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1786068081855774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.139921635389328},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11846408247947693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10949313640594482}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.9416475892066956},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.8064956665039062},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.7777125835418701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760530948638916},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5778906345367432},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5606668591499329},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5051470398902893},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.45850545167922974},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4562079608440399},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.4180357754230499},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4104197919368744},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.3714732527732849},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19631925225257874},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1786068081855774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.139921635389328},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11846408247947693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10949313640594482},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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":1,"locations":[{"id":"doi:10.1109/ccoms.2017.8075281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2017.8075281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 2nd International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W636998947","https://openalex.org/W1684372362","https://openalex.org/W2003022495","https://openalex.org/W2034013325","https://openalex.org/W2034377106","https://openalex.org/W2036184425","https://openalex.org/W2050574983","https://openalex.org/W2071707134","https://openalex.org/W2084436032","https://openalex.org/W2107202787","https://openalex.org/W2142819538","https://openalex.org/W2144369278","https://openalex.org/W2153620960","https://openalex.org/W2166023188","https://openalex.org/W2540106512","https://openalex.org/W6728366047"],"related_works":["https://openalex.org/W2116441277","https://openalex.org/W2176656248","https://openalex.org/W1526281004","https://openalex.org/W2298116686","https://openalex.org/W2693773189","https://openalex.org/W2349017599","https://openalex.org/W2067431740","https://openalex.org/W2775301649","https://openalex.org/W2048427509","https://openalex.org/W4233632157"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"new":[4],"spectrum":[5,81],"access":[6],"algorithm":[7,24,69],"based":[8,37],"on":[9,38,86],"the":[10,26,31,43,46,52,67,71,74,80,87,90],"Partially":[11],"Observable":[12],"Markov":[13],"Decision":[14],"Process":[15],"(POMDP)":[16],"for":[17],"Cognitive":[18],"Radio":[19],"Networks":[20],"(CRNs).":[21],"The":[22,62],"proposed":[23,68],"uses":[25],"Maximum":[27],"Likelihood":[28],"to":[29],"estimate":[30],"licensed":[32],"channel":[33],"state":[34],"transition":[35],"probabilities":[36],"historical":[39],"statistics":[40],"information":[41],"of":[42,48,73,89],"channels.":[44],"Then,":[45],"number":[47],"channels":[49],"sensed":[50],"by":[51],"secondary":[53,75],"users":[54,76],"in":[55],"each":[56],"time":[57],"period":[58],"can":[59],"be":[60],"decreased.":[61],"simulation":[63],"results":[64],"show":[65],"that":[66],"increases":[70,79],"throughput":[72],"and":[77],"also":[78],"utilization":[82],"with":[83],"negligible":[84],"effect":[85],"performance":[88],"primary":[91],"users.":[92]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
