{"id":"https://openalex.org/W4293094831","doi":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860971","title":"Measurement-based Evaluation of Uplink Throughput Prediction","display_name":"Measurement-based Evaluation of Uplink Throughput Prediction","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4293094831","doi":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860971"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-spring54318.2022.9860971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860971","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","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/A5066903933","display_name":"Mate Boban","orcid":"https://orcid.org/0000-0003-0668-7627"},"institutions":[{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mate Boban","raw_affiliation_strings":["Huawei Technologies"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies","institution_ids":["https://openalex.org/I4210160618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035951566","display_name":"Chunxu Jiao","orcid":"https://orcid.org/0000-0001-7459-2334"},"institutions":[{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chunxu Jiao","raw_affiliation_strings":["Huawei Technologies"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies","institution_ids":["https://openalex.org/I4210160618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025327799","display_name":"Mohamed Gharba","orcid":"https://orcid.org/0000-0002-7045-7896"},"institutions":[{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mohamed Gharba","raw_affiliation_strings":["Huawei Technologies"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies","institution_ids":["https://openalex.org/I4210160618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066903933"],"corresponding_institution_ids":["https://openalex.org/I4210160618"],"apc_list":null,"apc_paid":null,"fwci":6.1225,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.98146389,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9983999729156494,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9983999729156494,"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":0.9977999925613403,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9921000003814697,"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/telecommunications-link","display_name":"Telecommunications link","score":0.9328199625015259},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.8717629909515381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907882690429688},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5763089060783386},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4332554042339325},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.41068243980407715},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.402274489402771},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2120344042778015},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13507786393165588},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1138022243976593}],"concepts":[{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.9328199625015259},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.8717629909515381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907882690429688},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5763089060783386},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4332554042339325},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.41068243980407715},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.402274489402771},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2120344042778015},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13507786393165588},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1138022243976593}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-spring54318.2022.9860971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860971","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2735422752","https://openalex.org/W2851426253","https://openalex.org/W2888834880","https://openalex.org/W2982504547","https://openalex.org/W3026760177","https://openalex.org/W3033024620","https://openalex.org/W3040587720","https://openalex.org/W3123855443","https://openalex.org/W3131967102","https://openalex.org/W3183765950","https://openalex.org/W3189366403"],"related_works":["https://openalex.org/W2548963335","https://openalex.org/W2159941915","https://openalex.org/W1995129237","https://openalex.org/W4388081250","https://openalex.org/W2909457694","https://openalex.org/W1761601995","https://openalex.org/W2904599916","https://openalex.org/W2016000499","https://openalex.org/W2785415239","https://openalex.org/W4328011745"],"abstract_inverted_index":{"Motivated":[0],"by":[1,20],"the":[2,30,43,62,80,83,87,92,125,132,153,163,170,189,193,207],"teleoperation":[3],"and":[4,56,86,96,142],"local":[5],"map":[6],"sharing":[7],"vehicular":[8],"communication":[9],"use":[10,42],"cases,":[11],"we":[12,26,41],"investigate":[13],"whether":[14,48],"uplink":[15,35,63,89,105,117,136,175],"throughput":[16,36,106,137],"can":[17,60,98,156,179],"be":[18,157,180],"predicted":[19,88],"different":[21,202],"machine":[22],"learning":[23],"approaches.":[24],"First,":[25],"perform":[27],"measurements":[28,45],"of":[29,82,104,124,135,165],"vehicle":[31],"to":[32,46,72,140,151,200,203],"infrastructure":[33],"(V2I)":[34],"in":[37,78,173,188,206],"Munich,":[38],"Germany.":[39],"Then,":[40],"collected":[44],"evaluate":[47],"linear":[49],"regression":[50],"(LR),":[51],"deep":[52],"neural":[53],"network":[54],"(DNN),":[55],"random":[57],"forest":[58],"(RF)":[59],"predict":[61],"throughput.":[64,90,176],"Our":[65],"results":[66,129],"show":[67,130],"that,":[68],"while":[69,119],"very":[70,101],"easy":[71],"train,":[73],"LR":[74],"is":[75,138,149,169],"overly":[76],"simple":[77],"describing":[79],"relationship":[81],"input":[84],"features":[85],"On":[91,192],"other":[93,194],"hand,":[94,195],"DNN":[95],"RF":[97],"provide":[99],"a":[100,114],"good":[102],"prediction":[103,154],"(below":[107],"0.5":[108],"Mbps":[109,116],"mean":[110],"absolute":[111],"error":[112,155],"for":[113,183,198],"40":[115],"connection),":[118],"requiring":[120],"longer":[121],"training.":[122],"Irrespective":[123],"employed":[126,181],"model,":[127],"our":[128],"that":[131,185],"best":[133,172],"indicator":[134],"signal":[139],"interference":[141],"noise":[143],"ratio":[144],"(SINR).":[145],"When":[146],"location":[147,167],"information":[148,168],"added":[150],"SINR,":[152,166],"further":[158],"reduced,":[159],"albeit":[160],"slightly.":[161],"In":[162],"absence":[164],"second":[171],"predicting":[174],"However,":[177],"it":[178],"only":[182],"locations":[184,201],"were":[186],"available":[187],"training":[190,208],"dataset.":[191,209],"SINR":[196],"allows":[197],"generalization":[199],"those":[204],"observed":[205]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
