{"id":"https://openalex.org/W2975183578","doi":"https://doi.org/10.1109/infcomw.2019.8845272","title":"A Flexible 4G/5G Control Platform for Fingerprint-based Indoor Localization","display_name":"A Flexible 4G/5G Control Platform for Fingerprint-based Indoor Localization","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2975183578","doi":"https://doi.org/10.1109/infcomw.2019.8845272","mag":"2975183578"},"language":"en","primary_location":{"id":"doi:10.1109/infcomw.2019.8845272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5062887307","display_name":"Michele Gucciardo","orcid":"https://orcid.org/0000-0001-5689-9949"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Michele Gucciardo","raw_affiliation_strings":["University of Palermo, Palermo, Italy","DEIM, University of Palermo, Palermo, Italy"],"affiliations":[{"raw_affiliation_string":"University of Palermo, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]},{"raw_affiliation_string":"DEIM, University of Palermo, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090983431","display_name":"Ilenia Tinnirello","orcid":"https://orcid.org/0000-0002-1305-0248"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ilenia Tinnirello","raw_affiliation_strings":["University of Palermo, Palermo, Italy","DEIM, University of Palermo, Palermo, Italy"],"affiliations":[{"raw_affiliation_string":"University of Palermo, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]},{"raw_affiliation_string":"DEIM, University of Palermo, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073468548","display_name":"Gian Michele Dell\u2019Aera","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096856","display_name":"Innovation Engineering (Italy)","ror":"https://ror.org/00sxjp357","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210096856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gian Michele Dell'Aera","raw_affiliation_strings":["Technology Evolution &#x0026; Innovation, TIM, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Technology Evolution &#x0026; Innovation, TIM, Turin, Italy","institution_ids":["https://openalex.org/I4210096856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069374306","display_name":"Marco Caretti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096856","display_name":"Innovation Engineering (Italy)","ror":"https://ror.org/00sxjp357","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210096856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Caretti","raw_affiliation_strings":["Technology Evolution &#x0026; Innovation, TIM, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Technology Evolution &#x0026; Innovation, TIM, Turin, Italy","institution_ids":["https://openalex.org/I4210096856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062887307"],"corresponding_institution_ids":["https://openalex.org/I900890020"],"apc_list":null,"apc_paid":null,"fwci":0.8473,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.74693497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"744","last_page":"749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9987000226974487,"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/T10986","display_name":"RFID technology advancements","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.801784873008728},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.7236538529396057},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5498587489128113},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5490572452545166},{"id":"https://openalex.org/keywords/femto","display_name":"Femto-","score":0.5371053814888},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.47642216086387634},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4482446610927582},{"id":"https://openalex.org/keywords/handover","display_name":"Handover","score":0.4425497055053711},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41634976863861084},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4162619411945343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3844843804836273},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3615824580192566},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.25949639081954956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801784873008728},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7236538529396057},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5498587489128113},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5490572452545166},{"id":"https://openalex.org/C2777118422","wikidata":"https://www.wikidata.org/wiki/Q110791","display_name":"Femto-","level":2,"score":0.5371053814888},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.47642216086387634},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4482446610927582},{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.4425497055053711},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41634976863861084},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4162619411945343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3844843804836273},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3615824580192566},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25949639081954956},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/infcomw.2019.8845272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM 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":13,"referenced_works":["https://openalex.org/W331141525","https://openalex.org/W1972204916","https://openalex.org/W2001535779","https://openalex.org/W2026408886","https://openalex.org/W2064713288","https://openalex.org/W2066637077","https://openalex.org/W2137655008","https://openalex.org/W2137898377","https://openalex.org/W2278572312","https://openalex.org/W2551530225","https://openalex.org/W2557944756","https://openalex.org/W2751876363","https://openalex.org/W2765291713"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W1621827506","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W2124627279","https://openalex.org/W2050967184","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W2148654711"],"abstract_inverted_index":{"In":[0,21],"this":[1],"paper":[2],"we":[3,23,43,93,108],"propose":[4,109],"a":[5,110,113,118],"centralized":[6],"SDN":[7],"platform":[8,47],"devised":[9],"to":[10,32,103,134,149],"control":[11],"indoor":[12,91,105],"femto-cells":[13],"for":[14,51,70,122],"supporting":[15,123],"multiple":[16],"network-wide":[17],"optimizations":[18],"and":[19,37,100,117],"applications.":[20],"particular,":[22],"focus":[24],"on":[25,57],"an":[26],"example":[27],"localization":[28],"application":[29],"in":[30,88],"order":[31],"enlighten":[33],"the":[34,40,46,62,89,96,101,130,139,151,155],"main":[35],"functionalities":[36],"potentialities":[38],"of":[39,154],"approach.":[41],"First,":[42],"demonstrate":[44],"that":[45,79,129],"can":[48,132],"be":[49],"exploited":[50],"reconfiguring":[52],"some":[53],"operational":[54],"procedures,":[55],"based":[56],"standard":[58],"signalling":[59],"mechanisms,":[60],"at":[61,144],"programmable":[63],"femto-cells;":[64],"these":[65],"procedures":[66],"enable":[67],"customized":[68],"logics":[69],"collecting":[71],"measurements":[72],"reports":[73],"from":[74],"mobile":[75],"terminals.":[76],"Second,":[77],"assuming":[78],"high-density":[80],"devices":[81],"such":[82],"as":[83],"smart":[84],"objects":[85],"are":[86,142],"disseminated":[87],"controlled":[90],"space,":[92],"experimentally":[94],"validate":[95],"measurement":[97],"collection":[98],"mechanism":[99],"possibility":[102],"build":[104],"radio-maps.":[106],"Finally,":[107],"comparison":[111],"between":[112],"k-nearest":[114],"neighbors":[115],"classifier":[116],"trained":[119],"neural":[120],"network":[121],"fingerprint-based":[124],"localization.":[125],"Experimental":[126],"tests":[127],"show":[128],"approach":[131],"lead":[133],"accurate":[135],"positioning":[136],"results":[137],"if":[138],"fingerprint":[140],"maps":[141],"updated":[143],"regular":[145],"time":[146],"intervals":[147],"(able":[148],"capture":[150],"dynamic":[152],"variations":[153],"environment).":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-15T05:59:14.812645","created_date":"2025-10-10T00:00:00"}
