{"id":"https://openalex.org/W2260299091","doi":"https://doi.org/10.1109/vtcfall.2015.7391030","title":"Multi-Rate Uplink Channel Prediction and Enhanced Link Adaptation for VoLTE","display_name":"Multi-Rate Uplink Channel Prediction and Enhanced Link Adaptation for VoLTE","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2260299091","doi":"https://doi.org/10.1109/vtcfall.2015.7391030","mag":"2260299091"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2015.7391030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2015.7391030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)","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/A5018363666","display_name":"David Sandberg","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"David Sandberg","raw_affiliation_strings":["LMR Systems, Ericsson AB, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LMR Systems, Ericsson AB, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058932060","display_name":"Torbj\u00f6rn Wigren","orcid":"https://orcid.org/0000-0003-2580-8906"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Torbjorn Wigren","raw_affiliation_strings":["LMR Systems, Ericsson AB, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LMR Systems, Ericsson AB, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7013,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76815776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9945999979972839,"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"}},"topics":[{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9940000176429749,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8064072132110596},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.7328301668167114},{"id":"https://openalex.org/keywords/retransmission","display_name":"Retransmission","score":0.6810474395751953},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6373648047447205},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5722498893737793},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5200583338737488},{"id":"https://openalex.org/keywords/link-adaptation","display_name":"Link adaptation","score":0.5176454186439514},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5155429840087891},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4838484823703766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4135558009147644},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3790414035320282},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.372163325548172},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.1776532530784607},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.14158523082733154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10872069001197815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09205114841461182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064072132110596},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.7328301668167114},{"id":"https://openalex.org/C180611318","wikidata":"https://www.wikidata.org/wiki/Q7316902","display_name":"Retransmission","level":3,"score":0.6810474395751953},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6373648047447205},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5722498893737793},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5200583338737488},{"id":"https://openalex.org/C138916503","wikidata":"https://www.wikidata.org/wiki/Q2714551","display_name":"Link adaptation","level":4,"score":0.5176454186439514},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5155429840087891},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4838484823703766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4135558009147644},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3790414035320282},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.372163325548172},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.1776532530784607},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.14158523082733154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10872069001197815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09205114841461182},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2015.7391030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2015.7391030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W595252221","https://openalex.org/W1733806262","https://openalex.org/W1965324089","https://openalex.org/W2040565839","https://openalex.org/W2072400422","https://openalex.org/W2101352054","https://openalex.org/W2111393885","https://openalex.org/W2144718290","https://openalex.org/W2165291881","https://openalex.org/W2610335499"],"related_works":["https://openalex.org/W2394308295","https://openalex.org/W2377549730","https://openalex.org/W1981363742","https://openalex.org/W2127624627","https://openalex.org/W2063289542","https://openalex.org/W1984376450","https://openalex.org/W2043286325","https://openalex.org/W2001612193","https://openalex.org/W1982010423","https://openalex.org/W2368175763"],"abstract_inverted_index":{"The":[0,18,46,64,135,166],"paper":[1,65],"presents":[2],"an":[3],"improvement":[4],"of":[5,28,49,70,107,158,179],"the":[6,24,31,68,82,85,92,145,180],"long":[7],"term":[8],"evolution":[9],"(LTE)":[10],"link":[11],"adaptation":[12],"for":[13,73,160],"voice":[14,116,168],"over":[15],"LTE":[16],"(VoLTE).":[17],"underlying":[19],"problem":[20],"is":[21,44,62,80,127,170],"associated":[22],"with":[23,144],"speech":[25,112],"frame":[26],"structure":[27],"VoLTE,":[29],"where":[30],"transmissions":[32],"are":[33,52],"typically":[34],"scheduled":[35],"every":[36],"40":[37,100],"ms,":[38,95,97,99,104],"provided":[39],"that":[40,84],"discontinuous":[41],"reception":[42],"(DRX)":[43],"on.":[45],"channel":[47,71,86,124],"estimates":[48],"each":[50,55],"user":[51],"hence":[53],"outdated":[54],"time":[56,140],"a":[57,110,138],"new":[58,120],"uplink":[59],"scheduling":[60],"decision":[61],"made.":[63],"therefore":[66],"suggests":[67],"application":[69],"prediction":[72,125,133],"slowly":[74],"moving":[75],"mobiles.":[76],"A":[77,119],"special":[78],"challenge":[79],"then":[81],"fact":[83],"measurements":[87],"may":[88],"be":[89],"sampled":[90],"by":[91],"rates":[93],"1":[94],"8":[96],"20":[98],"ms":[101],"and":[102,115,122],"160":[103],"in":[105,177],"case":[106],"segmentation,":[108],"retransmission,":[109],"normal":[111],"frame,":[113],"DRX":[114],"inactivity,":[117],"respectively.":[118],"optimal":[121],"adaptive":[123],"algorithm":[126,136],"developed":[128],"to":[129],"solve":[130],"this":[131],"multi-rate":[132],"problem.":[134],"combines":[137],"continuous":[139],"autoregressive":[141],"(AR)":[142],"model":[143],"recursive":[146],"least":[147],"squares":[148],"algorithm.":[149],"An":[150],"extensive":[151],"system":[152],"simulation":[153],"study":[154],"shows":[155],"capacity":[156],"improvements":[157],"5-10%":[159],"Doppler":[161],"frequencies":[162],"below":[163],"10":[164],"Hz.":[165],"measured":[167],"quality":[169],"also":[171],"improved.":[172],"No":[173],"performance":[174],"degradation":[175],"appears":[176],"any":[178],"simulated":[181],"scenarios.":[182]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}