{"id":"https://openalex.org/W2808605385","doi":"https://doi.org/10.1109/vtcfall.2018.8690629","title":"Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators","display_name":"Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2808605385","doi":"https://doi.org/10.1109/vtcfall.2018.8690629","mag":"2808605385"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2018.8690629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1806.06620","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018884523","display_name":"Robert Falkenberg","orcid":"https://orcid.org/0000-0001-9871-4172"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Robert Falkenberg","raw_affiliation_strings":["Communication Networks Institute, TU Dortmund University, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Communication Networks Institute, TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048151334","display_name":"Benjamin Sliwa","orcid":"https://orcid.org/0000-0003-1133-8261"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Sliwa","raw_affiliation_strings":["Communication Networks Institute, TU Dortmund University, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Communication Networks Institute, TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029876355","display_name":"Nico Piatkowski","orcid":"https://orcid.org/0000-0002-6334-8042"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nico Piatkowski","raw_affiliation_strings":["Department of Computer Science, TU Dortmund University, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048759517","display_name":"Christian Wietfeld","orcid":"https://orcid.org/0000-0001-7653-2589"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Wietfeld","raw_affiliation_strings":["Communication Networks Institute, TU Dortmund University, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Communication Networks Institute, TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018884523"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":null,"apc_paid":null,"fwci":2.4779,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.89807446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","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/T13553","display_name":"Age of Information Optimization","score":0.9962000250816345,"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/telecommunications-link","display_name":"Telecommunications link","score":0.7277871370315552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7212629914283752},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5714308023452759},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5646698474884033},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.55262291431427},{"id":"https://openalex.org/keywords/power-control","display_name":"Power control","score":0.5298433303833008},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.42590299248695374},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.34506112337112427},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24082061648368835},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13451644778251648},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.11657732725143433}],"concepts":[{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.7277871370315552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7212629914283752},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5714308023452759},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5646698474884033},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.55262291431427},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.5298433303833008},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.42590299248695374},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.34506112337112427},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24082061648368835},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13451644778251648},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.11657732725143433},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vtcfall.2018.8690629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1806.06620","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.06620","pdf_url":"https://arxiv.org/pdf/1806.06620","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1806.06620","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.06620","pdf_url":"https://arxiv.org/pdf/1806.06620","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1554944419","https://openalex.org/W2025262567","https://openalex.org/W2047028564","https://openalex.org/W2081774887","https://openalex.org/W2095705004","https://openalex.org/W2117897510","https://openalex.org/W2129636357","https://openalex.org/W2164517585","https://openalex.org/W2170372734","https://openalex.org/W2171033594","https://openalex.org/W2287724167","https://openalex.org/W2301170479","https://openalex.org/W2562947506","https://openalex.org/W2596621252","https://openalex.org/W2752013927","https://openalex.org/W2771012340","https://openalex.org/W2783347352","https://openalex.org/W2803710950","https://openalex.org/W2911964244","https://openalex.org/W2963049813","https://openalex.org/W3103061900","https://openalex.org/W4234173777","https://openalex.org/W6674330103","https://openalex.org/W6743806954"],"related_works":["https://openalex.org/W790449367","https://openalex.org/W4302568799","https://openalex.org/W1482197907","https://openalex.org/W2289314820","https://openalex.org/W2115199292","https://openalex.org/W2395708164","https://openalex.org/W1664289808","https://openalex.org/W2100372817","https://openalex.org/W2538238406","https://openalex.org/W2042713734"],"abstract_inverted_index":{"Energy-aware":[0],"system":[1,48],"design":[2],"is":[3,41,54,84,130,157,208],"an":[4],"important":[5],"optimization":[6],"task":[7],"for":[8,19,45,69,106,114,149,210],"static":[9],"and":[10,60,63,125,145,196],"mobile":[11,25,61,82],"Internet":[12],"of":[13,37,42,80,91,136,168,184,191],"Things":[14],"(IoT)-based":[15],"sensor":[16],"nodes,":[17],"especially":[18],"highly":[20],"resource-constrained":[21],"vehicles":[22],"such":[23],"as":[24],"robotic":[26],"systems.":[27],"For":[28],"4G/5G-based":[29],"cellular":[30,143],"communication":[31],"systems,":[32],"the":[33,46,74,81,92,108,119,162,188,206],"effective":[34],"transmission":[35,76,111],"power":[36,49,77,112,212],"uplink":[38,110],"data":[39,115],"transmissions":[40,116],"crucial":[43],"importance":[44],"overall":[47],"consumption.":[50],"Unfortunately,":[51],"this":[52,97],"information":[53],"usually":[55],"hidden":[56],"within":[57],"off-the-shelf":[58],"modems":[59],"handsets":[62],"can":[64,146],"therefore":[65],"not":[66,85],"be":[67,147],"exploited":[68],"enabling":[70],"green":[71],"communication.":[72],"Moreover,":[73],"dynamic":[75],"control":[78],"behavior":[79],"device":[83],"even":[86],"explicitly":[87],"modeled":[88],"in":[89,140,204],"most":[90],"established":[93],"simulation":[94],"frameworks.":[95],"In":[96,165],"paper,":[98],"we":[99],"present":[100],"a":[101,141,153,166,180],"novel":[102],"machine":[103,171],"learning-based":[104],"approach":[105,207],"forecasting":[107],"resulting":[109],"used":[113],"based":[117],"on":[118],"available":[120],"passive":[121],"network":[122,144],"quality":[123],"indicators":[124],"application-level":[126],"information.":[127],"The":[128],"model":[129],"derived":[131],"from":[132],"comprehensive":[133],"field":[134],"measurements":[135,152],"drive":[137],"tests":[138],"performed":[139,177],"public":[142],"parameterized":[148],"integrating":[150],"all":[151],"given":[154],"target":[155],"platform":[156],"able":[158],"to":[159],"provide":[160],"into":[161],"prediction":[163],"process.":[164],"comparison":[167],"three":[169],"different":[170],"learning":[172],"methods,":[173],"Random-Forest":[174],"models":[175],"thoroughly":[176],"best":[178],"with":[179],"mean":[181],"average":[182],"error":[183],"3.166":[185],"dB.":[186],"As":[187],"absolute":[189],"sum":[190],"errors":[192],"converges":[193],"towards":[194],"zero":[195],"falls":[197],"below":[198],"1":[199],"dB":[200],"after":[201],"28":[202],"predictions":[203],"average,":[205],"well-suited":[209],"long-term":[211],"estimations.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2018-06-21T00:00:00"}