{"id":"https://openalex.org/W2969878898","doi":"https://doi.org/10.1109/icufn.2019.8806031","title":"Autonomous Wireless System Optimization Method based on Cross-layer Modeling using Machine Learning","display_name":"Autonomous Wireless System Optimization Method based on Cross-layer Modeling using Machine Learning","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2969878898","doi":"https://doi.org/10.1109/icufn.2019.8806031","mag":"2969878898"},"language":"en","primary_location":{"id":"doi:10.1109/icufn.2019.8806031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2019.8806031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN)","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/A5068277866","display_name":"Koji Oshima","orcid":"https://orcid.org/0000-0001-6878-4794"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Koji Oshima","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Katsushika-ku, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Katsushika-ku, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670437","display_name":"Jing Ma","orcid":"https://orcid.org/0000-0002-5023-8434"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jing Ma","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Katsushika-ku, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Katsushika-ku, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056390537","display_name":"Mikio Hasegawa","orcid":"https://orcid.org/0000-0001-5638-8022"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mikio Hasegawa","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Katsushika-ku, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Katsushika-ku, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068277866"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.3537,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63036648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"239","last_page":"244"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9991999864578247,"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/cognitive-radio","display_name":"Cognitive radio","score":0.8734416961669922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7478185296058655},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6927471160888672},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.560261607170105},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45050644874572754},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4452298879623413},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43992334604263306},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.43989771604537964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42229196429252625},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41331738233566284},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37159883975982666},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33424344658851624},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2222084403038025},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11775907874107361}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8734416961669922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7478185296058655},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6927471160888672},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.560261607170105},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45050644874572754},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4452298879623413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43992334604263306},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.43989771604537964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42229196429252625},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41331738233566284},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37159883975982666},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33424344658851624},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2222084403038025},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11775907874107361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icufn.2019.8806031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2019.8806031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2001538423","https://openalex.org/W2016695533","https://openalex.org/W2028629248","https://openalex.org/W2050152106","https://openalex.org/W2069281887","https://openalex.org/W2069292411","https://openalex.org/W2071707134","https://openalex.org/W2077914302","https://openalex.org/W2087347434","https://openalex.org/W2091005538","https://openalex.org/W2104057862","https://openalex.org/W2106624624","https://openalex.org/W2122549035","https://openalex.org/W2123737232","https://openalex.org/W2125982418","https://openalex.org/W2136493079","https://openalex.org/W2141273556","https://openalex.org/W2152195021","https://openalex.org/W2168078104","https://openalex.org/W2511054460","https://openalex.org/W2562947506","https://openalex.org/W2762172864","https://openalex.org/W2799656918","https://openalex.org/W6673397125","https://openalex.org/W6678557583"],"related_works":["https://openalex.org/W2559261346","https://openalex.org/W4280609833","https://openalex.org/W2136943174","https://openalex.org/W1973979964","https://openalex.org/W4235820682","https://openalex.org/W185479762","https://openalex.org/W1968709058","https://openalex.org/W2095246866","https://openalex.org/W2908171849","https://openalex.org/W1502347072"],"abstract_inverted_index":{"Cognitive":[0],"radio":[1,18,24,104],"technologies":[2,93],"have":[3],"been":[4],"developed":[5],"to":[6,54,80,134],"utilize":[7],"the":[8,14,17,22,36,55,62,67,72,75,88,132,135],"limited":[9],"spectrum":[10],"resources":[11],"and":[12,41,77,118],"optimize":[13],"behavior":[15],"of":[16,57,64,66,90,112],"system,":[19],"along":[20],"with":[21,83],"variable":[23],"status,":[25],"by":[26,100,130],"intelligent":[27],"learning.":[28],"The":[29,125],"optimization":[30,68,119],"can":[31,94],"be":[32,81],"achieved":[33],"through":[34],"clarifying":[35],"relationship":[37],"among":[38,74],"certain":[39],"variables":[40,65,76],"target":[42],"performance":[43,79],"indices.":[44],"However,":[45],"today's":[46],"wireless":[47,58,113,138],"systems":[48],"are":[49],"becoming":[50],"increasingly":[51],"complex":[52],"due":[53],"advances":[56],"technologies;":[59],"this":[60],"increases":[61],"number":[63],"problem,":[69],"which":[70],"makes":[71],"relations":[73],"system":[78,114],"formulated":[82],"difficulty.":[84],"Recent":[85],"advance":[86],"in":[87],"field":[89],"machine":[91,116],"learning":[92,117],"help":[95],"us":[96],"overcome":[97],"such":[98],"difficulties":[99],"adopting":[101],"for":[102],"cognitive":[103,123],"systems.":[105],"This":[106],"paper":[107],"proposes":[108],"a":[109],"cross-layer":[110],"modeling":[111],"using":[115],"method":[120,133],"based":[121],"on":[122],"cycle.":[124],"experimental":[126],"evaluation":[127],"is":[128],"shown":[129],"applying":[131],"IEEE":[136],"802.11":[137],"local":[139],"area":[140],"network.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}