{"id":"https://openalex.org/W3005648038","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991762","title":"Modeling of Time Series for S-band Spectrum Use in Satellite Downlink","display_name":"Modeling of Time Series for S-band Spectrum Use in Satellite Downlink","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W3005648038","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991762","mag":"3005648038"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw46550.2019.8991762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","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/A5100320307","display_name":"Wen Liu","orcid":"https://orcid.org/0000-0002-6872-3315"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wen Liu","raw_affiliation_strings":["College of Telecommunications and Information Engineering, NUPT"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NUPT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085918884","display_name":"Tao Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Hong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101445072","display_name":"Gengxin Zhang","orcid":"https://orcid.org/0000-0001-6823-7360"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gengxin Zhang","raw_affiliation_strings":["College of Telecommunications and Information Engineering, NUPT"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NUPT","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100320307"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22877718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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":0.9983000159263611,"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":0.9983000159263611,"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":0.9973999857902527,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9966999888420105,"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/cognitive-radio","display_name":"Cognitive radio","score":0.6651667356491089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6108579635620117},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.6089799404144287},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.579667866230011},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5560733079910278},{"id":"https://openalex.org/keywords/gamma-distribution","display_name":"Gamma distribution","score":0.5295912623405457},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46936967968940735},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4639316201210022},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.451068639755249},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4392763078212738},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4245072901248932},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.41256970167160034},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3232559859752655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2419584095478058},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23073384165763855},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21964281797409058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17779511213302612},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1387777328491211},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11835044622421265}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.6651667356491089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6108579635620117},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.6089799404144287},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.579667866230011},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5560733079910278},{"id":"https://openalex.org/C149717495","wikidata":"https://www.wikidata.org/wiki/Q117806","display_name":"Gamma distribution","level":2,"score":0.5295912623405457},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46936967968940735},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4639316201210022},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.451068639755249},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4392763078212738},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4245072901248932},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.41256970167160034},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3232559859752655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2419584095478058},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23073384165763855},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21964281797409058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17779511213302612},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1387777328491211},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11835044622421265},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw46550.2019.8991762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1969481165","https://openalex.org/W2029950600","https://openalex.org/W2105491959","https://openalex.org/W2122821304","https://openalex.org/W2127358663","https://openalex.org/W2148925052","https://openalex.org/W2775262724"],"related_works":["https://openalex.org/W1963677898","https://openalex.org/W1997459874","https://openalex.org/W4247805184","https://openalex.org/W1505328341","https://openalex.org/W2279883948","https://openalex.org/W2525685171","https://openalex.org/W2201233151","https://openalex.org/W2346755518","https://openalex.org/W2218628439","https://openalex.org/W4256184164"],"abstract_inverted_index":{"The":[0,20,99],"development":[1],"of":[2,13,39,48,79,89,114,119],"the":[3,11,26,36,45,64,70,77,95,111,115,120,124],"Cognitive":[4],"Radio":[5],"technology":[6],"has":[7],"largely":[8],"benefit":[9],"from":[10],"availability":[12],"realistic":[14],"and":[15,34,109],"accurate":[16],"spectrum":[17,21,67],"occupancy":[18,22,68],"models.":[19],"model":[23],"proposed":[24],"in":[25,63,123],"literature":[27],"so":[28],"far":[29],"are":[30],"able":[31],"to":[32,93],"capture":[33],"reproduce":[35,110],"statistical":[37,112],"characteristics":[38,113],"occupied":[40,116],"time":[41,117],"series.":[42],"For":[43],"example,":[44],"busy/idle-period":[46],"lengths":[47],"terrestrial":[49],"wireless":[50],"network":[51],"can":[52,105],"be":[53],"fitted":[54],"by":[55],"generalized":[56],"Pareto":[57],"distribution,":[58,60],"exponential":[59],"etc.":[61],"However,":[62],"satellite":[65,125],"link":[66],"scenario,":[69],"traditional":[71],"parameter":[72],"estimation":[73,92],"distribution":[74],"cannot":[75],"provide":[76],"goodness":[78],"fit.":[80],"In":[81],"this":[82,84,103],"context,":[83],"paper":[85],"proposes":[86],"a":[87],"method":[88,104],"kernel":[90],"density":[91,97],"estimate":[94],"probability":[96],"function.":[98],"conclusion":[100],"shows":[101],"that":[102],"more":[106],"accurately":[107],"describe":[108],"series":[118],"S-band":[121],"used":[122],"downlink.":[126]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}