{"id":"https://openalex.org/W2785838457","doi":"https://doi.org/10.1109/glocomw.2017.8269204","title":"Air-to-Ground Big-Data-Assisted Channel Modeling Based on Passive Sounding in LTE Networks","display_name":"Air-to-Ground Big-Data-Assisted Channel Modeling Based on Passive Sounding in LTE Networks","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2785838457","doi":"https://doi.org/10.1109/glocomw.2017.8269204","mag":"2785838457"},"language":"en","primary_location":{"id":"doi:10.1109/glocomw.2017.8269204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocomw.2017.8269204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070115697","display_name":"Xiaokang Ye","orcid":"https://orcid.org/0000-0003-0902-7464"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Ye","raw_affiliation_strings":["College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055921455","display_name":"Xuesong Cai","orcid":"https://orcid.org/0000-0001-7759-7448"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Cai","raw_affiliation_strings":["College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051230002","display_name":"Xuefeng Yin","orcid":"https://orcid.org/0000-0001-7216-8994"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Yin","raw_affiliation_strings":["College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069530484","display_name":"Jos\u00e9 Rodr\u00edguez-Pi\u00f1eiro","orcid":"https://orcid.org/0000-0002-7759-9619"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jose Rodriguez-Pineiro","raw_affiliation_strings":["College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101546884","display_name":"Tian Li","orcid":"https://orcid.org/0000-0003-3985-0929"},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Tian","raw_affiliation_strings":["Wireless Algorithm Department, ZTE Corporation, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Algorithm Department, ZTE Corporation, Shanghai, China","institution_ids":["https://openalex.org/I4210098582"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086938410","display_name":"Jianwu Dou","orcid":"https://orcid.org/0000-0003-2259-2759"},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwu Dou","raw_affiliation_strings":["Wireless Algorithm Department, ZTE Corporation, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Algorithm Department, ZTE Corporation, Shanghai, China","institution_ids":["https://openalex.org/I4210098582"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.898,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.99075256,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9993000030517578,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9902999997138977,"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/channel","display_name":"Channel (broadcasting)","score":0.6716796159744263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5464481711387634},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.5280982851982117},{"id":"https://openalex.org/keywords/depth-sounding","display_name":"Depth sounding","score":0.5068517327308655},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4737494885921478},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.44135838747024536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39468592405319214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33450964093208313},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16687151789665222},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16064026951789856},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14711162447929382}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6716796159744263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5464481711387634},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.5280982851982117},{"id":"https://openalex.org/C55510283","wikidata":"https://www.wikidata.org/wiki/Q1382947","display_name":"Depth sounding","level":2,"score":0.5068517327308655},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4737494885921478},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.44135838747024536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39468592405319214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33450964093208313},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16687151789665222},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16064026951789856},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14711162447929382},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocomw.2017.8269204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocomw.2017.8269204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1653024839","https://openalex.org/W1904495647","https://openalex.org/W1963527183","https://openalex.org/W2032707246","https://openalex.org/W2068495693","https://openalex.org/W2080420136","https://openalex.org/W2102449144","https://openalex.org/W2123511325","https://openalex.org/W2135647798","https://openalex.org/W2140703956","https://openalex.org/W2148541040","https://openalex.org/W2160576915","https://openalex.org/W2258127536","https://openalex.org/W2268751503","https://openalex.org/W2290947383","https://openalex.org/W2331788720","https://openalex.org/W2509113034","https://openalex.org/W2565589031","https://openalex.org/W2586321126","https://openalex.org/W2613353268","https://openalex.org/W2620902575","https://openalex.org/W2622272405","https://openalex.org/W2625729499","https://openalex.org/W2963409215","https://openalex.org/W4239066252"],"related_works":["https://openalex.org/W2809612451","https://openalex.org/W1974079146","https://openalex.org/W2373976954","https://openalex.org/W2616411725","https://openalex.org/W2474955975","https://openalex.org/W2383251271","https://openalex.org/W2386558711","https://openalex.org/W2349574727","https://openalex.org/W2349399252","https://openalex.org/W2799052602"],"abstract_inverted_index":{"In":[0,40,74],"this":[1,41],"paper,":[2],"a":[3,56,61,99,106],"novel":[4],"approach":[5,140],"of":[6,65,91,94,116,125,147,153],"channel":[7,22,46,67,71,148],"modeling":[8],"based":[9,54],"on":[10,55],"big":[11],"data":[12],"analysis":[13],"is":[14,17,52,81,96,110,141],"proposed":[15,138],"that":[16,109,136],"applied":[18],"to":[19,48,83,119,143],"extract":[20],"air-to-ground":[21],"models":[23],"from":[24,60,70],"down-link":[25],"signals":[26],"collected":[27],"by":[28,112],"using":[29],"an":[30],"Unmanned":[31],"Aerial":[32],"Vehicle":[33],"(UAV)":[34],"in":[35],"operating":[36],"Long-Term-Evolution":[37],"(LTE)":[38],"networks.":[39],"approach,":[42],"the":[43,49,75,79,85,92,114,120,127,137,151],"most":[44,86],"\"sensitive\"":[45],"parameter":[47,62],"UAV":[50],"height":[51,103],"chosen":[53],"feature":[57],"selection":[58],"algorithm":[59],"set":[63],"consisting":[64],"nine":[66],"parameters":[68],"calculated":[69],"impulse":[72],"responses.":[73],"case":[76],"considered":[77],"here,":[78],"K-factor":[80,95,129],"found":[82],"be":[84],"height-sensitive":[87],"parameter.":[88],"The":[89,123,133],"behavior":[90],"mean":[93,128],"modeled":[97],"as":[98],"piece-wise":[100],"function":[101],"against":[102],"which":[104],"demonstrates":[105],"break":[107],"point":[108],"determined":[111],"assessing":[113],"contribution":[115],"height-dependent":[117],"samples":[118],"overall":[121],"entropy.":[122],"residuals":[124],"subtracting":[126],"are":[130],"statistically":[131],"modeled.":[132],"results":[134],"illustrate":[135],"big-data-assisted":[139],"applicable":[142],"provide":[144],"accurate":[145],"description":[146],"statistics":[149],"versus":[150],"variables":[152],"interests.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
