{"id":"https://openalex.org/W1984569355","doi":"https://doi.org/10.1109/lcnw.2014.6927712","title":"Modelling download throughput of LTE networks","display_name":"Modelling download throughput of LTE networks","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W1984569355","doi":"https://doi.org/10.1109/lcnw.2014.6927712","mag":"1984569355"},"language":"en","primary_location":{"id":"doi:10.1109/lcnw.2014.6927712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcnw.2014.6927712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"39th Annual IEEE Conference on Local Computer Networks Workshops","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/A5050051612","display_name":"Joe Cainey","orcid":null},"institutions":[{"id":"https://openalex.org/I40695006","display_name":"Open Geospatial Consortium","ror":"https://ror.org/00fsdxs93","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I40695006"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joe Cainey","raw_affiliation_strings":["Open Signal, London","OpenSignal, White Bear Yard, London, EC1R 5DF, UK"],"affiliations":[{"raw_affiliation_string":"Open Signal, London","institution_ids":["https://openalex.org/I40695006"]},{"raw_affiliation_string":"OpenSignal, White Bear Yard, London, EC1R 5DF, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081531098","display_name":"Brendan Gill","orcid":"https://orcid.org/0000-0002-4170-769X"},"institutions":[{"id":"https://openalex.org/I40695006","display_name":"Open Geospatial Consortium","ror":"https://ror.org/00fsdxs93","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I40695006"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brendan Gill","raw_affiliation_strings":["Open Signal, London","OpenSignal, White Bear Yard, London, EC1R 5DF, UK"],"affiliations":[{"raw_affiliation_string":"Open Signal, London","institution_ids":["https://openalex.org/I40695006"]},{"raw_affiliation_string":"OpenSignal, White Bear Yard, London, EC1R 5DF, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110289854","display_name":"Samuel Johnston","orcid":null},"institutions":[{"id":"https://openalex.org/I40695006","display_name":"Open Geospatial Consortium","ror":"https://ror.org/00fsdxs93","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I40695006"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Johnston","raw_affiliation_strings":["Open Signal, London","OpenSignal, White Bear Yard, London, EC1R 5DF, UK"],"affiliations":[{"raw_affiliation_string":"Open Signal, London","institution_ids":["https://openalex.org/I40695006"]},{"raw_affiliation_string":"OpenSignal, White Bear Yard, London, EC1R 5DF, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071570061","display_name":"James Scott Robinson","orcid":"https://orcid.org/0000-0002-5584-3828"},"institutions":[{"id":"https://openalex.org/I40695006","display_name":"Open Geospatial Consortium","ror":"https://ror.org/00fsdxs93","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I40695006"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Robinson","raw_affiliation_strings":["Open Signal, London","OpenSignal, White Bear Yard, London, EC1R 5DF, UK"],"affiliations":[{"raw_affiliation_string":"Open Signal, London","institution_ids":["https://openalex.org/I40695006"]},{"raw_affiliation_string":"OpenSignal, White Bear Yard, London, EC1R 5DF, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051536609","display_name":"Sam Westwood","orcid":null},"institutions":[{"id":"https://openalex.org/I40695006","display_name":"Open Geospatial Consortium","ror":"https://ror.org/00fsdxs93","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I40695006"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sam Westwood","raw_affiliation_strings":["Open Signal, London","OpenSignal, White Bear Yard, London, EC1R 5DF, UK"],"affiliations":[{"raw_affiliation_string":"Open Signal, London","institution_ids":["https://openalex.org/I40695006"]},{"raw_affiliation_string":"OpenSignal, White Bear Yard, London, EC1R 5DF, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050051612"],"corresponding_institution_ids":["https://openalex.org/I40695006"],"apc_list":null,"apc_paid":null,"fwci":2.1283,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.88380432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"623","last_page":"628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9998999834060669,"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/T12238","display_name":"Green IT and Sustainability","score":0.9998999834060669,"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/T11499","display_name":"ICT Impact and Policies","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9864000082015991,"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/download","display_name":"Download","score":0.8742868304252625},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.764363169670105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7640756368637085},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.6065664887428284},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6030310988426208},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.5077508687973022},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13849738240242004},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11313387751579285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09847626090049744},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0908929705619812}],"concepts":[{"id":"https://openalex.org/C2780154274","wikidata":"https://www.wikidata.org/wiki/Q7126717","display_name":"Download","level":2,"score":0.8742868304252625},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.764363169670105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640756368637085},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.6065664887428284},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6030310988426208},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.5077508687973022},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13849738240242004},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11313387751579285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09847626090049744},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0908929705619812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcnw.2014.6927712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcnw.2014.6927712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"39th Annual IEEE Conference on Local Computer Networks Workshops","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":18,"referenced_works":["https://openalex.org/W123146400","https://openalex.org/W2008983761","https://openalex.org/W2020631075","https://openalex.org/W2067481044","https://openalex.org/W2080165082","https://openalex.org/W2096491646","https://openalex.org/W2108481447","https://openalex.org/W2112431369","https://openalex.org/W2120946794","https://openalex.org/W2124059098","https://openalex.org/W2129636357","https://openalex.org/W2141847331","https://openalex.org/W2153771889","https://openalex.org/W2167550903","https://openalex.org/W2171870484","https://openalex.org/W3160254190","https://openalex.org/W3160780598","https://openalex.org/W6685031068"],"related_works":["https://openalex.org/W2368066043","https://openalex.org/W2130966263","https://openalex.org/W2107501420","https://openalex.org/W2062000094","https://openalex.org/W1992848877","https://openalex.org/W2170012271","https://openalex.org/W2161976739","https://openalex.org/W2004734952","https://openalex.org/W4213119481","https://openalex.org/W1659113258"],"abstract_inverted_index":{"We":[0,37,54,106],"report":[1],"the":[2,18,21,30,80,101,104,125,129],"initial":[3],"findings":[4],"of":[5,14,23,29,51,79,100,128],"an":[6,72,97],"investigation":[7],"that":[8,56,77],"attempts":[9],"to":[10,87,123],"model":[11,42],"download":[12,46,89],"throughput":[13,47],"LTE":[15,45],"networks":[16],"in":[17,103],"US":[19,132],"using":[20],"results":[22,109],"130,296":[24],"speedtests":[25],"performed":[26],"by":[27],"users":[28],"OpenSignal":[31],"mobile":[32],"application":[33],"on":[34,48],"Android":[35],"devices.":[36],"have":[38],"developed":[39],"a":[40,49,115],"simple":[41],"which":[43,110],"regresses":[44],"number":[50],"independent":[52],"variables.":[53],"find":[55,71],"signal":[57,82],"quality":[58],"and":[59,62,69,120],"strength,":[60],"temporal":[61],"network":[63,118],"operator":[64],"factors":[65],"are":[66,121],"all":[67],"essential,":[68],"also":[70],"interesting":[73],"device-specific":[74],"dependence.We":[75],"show":[76],"none":[78],"LTE-specific":[81],"metrics":[83],"is":[84],"sufficient":[85],"alone":[86],"determine":[88],"throughput,":[90],"although":[91],"once":[92],"combined":[93],"they":[94],"collectively":[95],"explain":[96],"appreciable":[98],"fraction":[99],"variability":[102],"model.":[105],"obtain":[107],"time-of-day":[108],"we":[111],"believe":[112],"act":[113],"as":[114],"proxy":[116],"for":[117],"congestion,":[119],"able":[122],"quantify":[124],"relative":[126],"performance":[127],"four":[130],"largest":[131],"cellular":[133],"operators.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
