{"id":"https://openalex.org/W2755590626","doi":"https://doi.org/10.1109/lwc.2017.2754367","title":"Channel Access Method Classification for Cognitive Radio Applications","display_name":"Channel Access Method Classification for Cognitive Radio Applications","publication_year":2017,"publication_date":"2017-09-19","ids":{"openalex":"https://openalex.org/W2755590626","doi":"https://doi.org/10.1109/lwc.2017.2754367","mag":"2755590626"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2017.2754367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2017.2754367","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1709.05460","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mihir Laghate","orcid":"https://orcid.org/0000-0001-9852-9719"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihir Laghate","raw_affiliation_strings":["Qualcomm Technologies, San Diego, CA, USA","University of California at Los Angeles, Los Angeles, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9852-9719","affiliations":[{"raw_affiliation_string":"Qualcomm Technologies, San Diego, CA, USA","institution_ids":["https://openalex.org/I4210087596"]},{"raw_affiliation_string":"University of California at Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Paulo Urriza","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"id":"https://openalex.org/I4210154351","display_name":"Marvell (United States)","ror":"https://ror.org/04wmff902","country_code":"US","type":"company","lineage":["https://openalex.org/I4210092679","https://openalex.org/I4210154351"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paulo Urriza","raw_affiliation_strings":["Marvell Semiconductor, Santa Clara, CA, USA","University of California at Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marvell Semiconductor, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210154351"]},{"raw_affiliation_string":"University of California at Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":null,"display_name":"Danijela Cabric","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danijela Cabric","raw_affiliation_strings":["University of California at Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4607,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75829861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":"1","first_page":"70","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.4977000057697296,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.4977000057697296,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.3564999997615814,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.023099999874830246,"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/code-division-multiple-access","display_name":"Code division multiple access","score":0.7099999785423279},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.6514999866485596},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5404999852180481},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5336999893188477},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5184999704360962},{"id":"https://openalex.org/keywords/channel-access-method","display_name":"Channel access method","score":0.517300009727478},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.38769999146461487},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.37040001153945923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.337799996137619},{"id":"https://openalex.org/keywords/hidden-node-problem","display_name":"Hidden node problem","score":0.3346000015735626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7695000171661377},{"id":"https://openalex.org/C47696715","wikidata":"https://www.wikidata.org/wiki/Q233394","display_name":"Code division multiple access","level":2,"score":0.7099999785423279},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.6514999866485596},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5404999852180481},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5336999893188477},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5184999704360962},{"id":"https://openalex.org/C193430537","wikidata":"https://www.wikidata.org/wiki/Q1665191","display_name":"Channel access method","level":3,"score":0.517300009727478},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3698999881744385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.337799996137619},{"id":"https://openalex.org/C156738730","wikidata":"https://www.wikidata.org/wiki/Q2565413","display_name":"Hidden node problem","level":5,"score":0.3346000015735626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33059999346733093},{"id":"https://openalex.org/C2775907427","wikidata":"https://www.wikidata.org/wiki/Q2697649","display_name":"Orthogonal frequency-division multiple access","level":4,"score":0.3278000056743622},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.3118000030517578},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C190519244","wikidata":"https://www.wikidata.org/wiki/Q901831","display_name":"Multi-frequency time division multiple access","level":5,"score":0.28949999809265137},{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.28940001130104065},{"id":"https://openalex.org/C114237682","wikidata":"https://www.wikidata.org/wiki/Q5072483","display_name":"Channel allocation schemes","level":3,"score":0.28850001096725464},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.2847999930381775},{"id":"https://openalex.org/C2777104032","wikidata":"https://www.wikidata.org/wiki/Q16324514","display_name":"Multiuser detection","level":3,"score":0.2833999991416931},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2825999855995178},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C157607044","wikidata":"https://www.wikidata.org/wiki/Q5165851","display_name":"Control channel","level":3,"score":0.27300000190734863},{"id":"https://openalex.org/C117313154","wikidata":"https://www.wikidata.org/wiki/Q878344","display_name":"Time division multiple access","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.26820001006126404},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26570001244544983},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lwc.2017.2754367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2017.2754367","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1709.05460","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.05460","pdf_url":"https://arxiv.org/pdf/1709.05460","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1709.05460","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.05460","pdf_url":"https://arxiv.org/pdf/1709.05460","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1641742760","https://openalex.org/W2057727317","https://openalex.org/W2071707134","https://openalex.org/W2093846422","https://openalex.org/W2097336132","https://openalex.org/W2100417970","https://openalex.org/W2118726574","https://openalex.org/W2125391037","https://openalex.org/W2131652573","https://openalex.org/W2162721555","https://openalex.org/W2166126365","https://openalex.org/W2169822368","https://openalex.org/W2170778725","https://openalex.org/W2291700441","https://openalex.org/W2652147105","https://openalex.org/W4256217162","https://openalex.org/W6632259433"],"related_works":[],"abstract_inverted_index":{"Motivated":[0],"by":[1,22],"improved":[2],"detection":[3,101],"and":[4,46,79,93],"prediction":[5],"of":[6,64,81,90,102],"temporal":[7],"holes,":[8],"we":[9],"propose":[10],"a":[11,23,56],"two":[12],"stage":[13,28,54],"algorithm":[14],"to":[15,36,68,97],"classify":[16],"the":[17,61,65,82],"channel":[18,71],"access":[19,44,50,72],"method":[20,76],"used":[21],"primary":[24],"network.":[25],"The":[26,52],"first":[27],"extends":[29],"an":[30],"existing":[31,105],"fourth-order":[32],"cumulant-based":[33],"modulation":[34],"classifier":[35],"distinguish":[37],"between":[38],"TDMA,":[39,91],"orthogonal":[40],"frequency":[41],"division":[42,48],"multiple":[43,49],"(OFDMA),":[45],"code":[47],"(CDMA).":[51],"second":[53],"proposes":[55],"novel":[57],"collision":[58],"detector":[59],"using":[60],"sample":[62],"variance":[63],"same":[66],"cumulant":[67],"detect":[69],"contention-based":[70],"methods.":[73,106],"Our":[74],"proposed":[75],"is":[77,95],"blind":[78],"independent":[80],"received":[83],"SNR.":[84],"Simulations":[85],"show":[86],"that":[87],"our":[88],"classification":[89],"OFDMA,":[92],"CDMA":[94],"robust":[96],"network":[98],"load":[99],"while":[100],"contention":[103],"outperforms":[104]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2017-09-25T00:00:00"}