{"id":"https://openalex.org/W2583174262","doi":"https://doi.org/10.1109/glocom.2016.7842371","title":"Utilizing Geometric Mean in Proportional Fair Scheduling: Enhanced Throughput and Fairness in LTE DL","display_name":"Utilizing Geometric Mean in Proportional Fair Scheduling: Enhanced Throughput and Fairness in LTE DL","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2583174262","doi":"https://doi.org/10.1109/glocom.2016.7842371","mag":"2583174262"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2016.7842371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7842371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003665852","display_name":"Mahir Ayhan","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahir Ayhan","raw_affiliation_strings":["Department of Computer Science, George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102802913","display_name":"Yanxiang Zhao","orcid":"https://orcid.org/0000-0003-3379-6730"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanxiang Zhao","raw_affiliation_strings":["Department of Mathematics, George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103910452","display_name":"Hyeong\u2010Ah Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyeong-Ah Choi","raw_affiliation_strings":["Department of Computer Science, George Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Washington University","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","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/T11409","display_name":"Advanced Wireless Network Optimization","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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9986000061035156,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9878000020980835,"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/proportionally-fair","display_name":"Proportionally fair","score":0.8127883672714233},{"id":"https://openalex.org/keywords/maximum-throughput-scheduling","display_name":"Maximum throughput scheduling","score":0.7338567972183228},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6973741054534912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6903581023216248},{"id":"https://openalex.org/keywords/fairness-measure","display_name":"Fairness measure","score":0.5536054372787476},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5290923118591309},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5007400512695312},{"id":"https://openalex.org/keywords/round-robin-scheduling","display_name":"Round-robin scheduling","score":0.4403764307498932},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4215743839740753},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.4206979274749756},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3600817620754242},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.3272641897201538},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2716439962387085},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13747185468673706},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0689089298248291}],"concepts":[{"id":"https://openalex.org/C86127852","wikidata":"https://www.wikidata.org/wiki/Q7250364","display_name":"Proportionally fair","level":5,"score":0.8127883672714233},{"id":"https://openalex.org/C29722447","wikidata":"https://www.wikidata.org/wiki/Q17097321","display_name":"Maximum throughput scheduling","level":5,"score":0.7338567972183228},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6973741054534912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6903581023216248},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.5536054372787476},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5290923118591309},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5007400512695312},{"id":"https://openalex.org/C175893541","wikidata":"https://www.wikidata.org/wiki/Q1196582","display_name":"Round-robin scheduling","level":4,"score":0.4403764307498932},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4215743839740753},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.4206979274749756},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3600817620754242},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.3272641897201538},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2716439962387085},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13747185468673706},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0689089298248291},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/glocom.2016.7842371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7842371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"mag:2747322740","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201702236880633328","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W73086515","https://openalex.org/W1493406030","https://openalex.org/W1630733292","https://openalex.org/W1851248039","https://openalex.org/W1974879901","https://openalex.org/W1988245941","https://openalex.org/W2040563361","https://openalex.org/W2096278240","https://openalex.org/W2115671770","https://openalex.org/W2119949855","https://openalex.org/W2121877077","https://openalex.org/W2149375806","https://openalex.org/W2155278025","https://openalex.org/W2161141478","https://openalex.org/W2165910183","https://openalex.org/W2567267644","https://openalex.org/W6636933019","https://openalex.org/W6682178884"],"related_works":["https://openalex.org/W1999684000","https://openalex.org/W2093454713","https://openalex.org/W2391505263","https://openalex.org/W1974668751","https://openalex.org/W2130148499","https://openalex.org/W2040563361","https://openalex.org/W2514743824","https://openalex.org/W2380982398","https://openalex.org/W4251428942","https://openalex.org/W2991204687"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"address":[4],"the":[5,11,22,32,49,55,67,98,119,126,129],"challenge":[6],"of":[7,13,24,35,57,69,84,106,118,128],"multiuser":[8],"scheduling":[9],"in":[10,21,66,97],"downlink":[12],"Long":[14],"Term":[15],"Evolution":[16],"(LTE)":[17],"by":[18,124],"bringing":[19],"innovation":[20],"concept":[23],"proportional":[25],"fairness.":[26],"We":[27,46],"plug":[28],"geometric":[29,50,82],"average":[30,51,71,83],"into":[31],"selection":[33],"criterion":[34],"User":[36],"Equipments":[37],"(UEs)":[38],"as":[39],"opposed":[40],"to":[41,54],"widely":[42],"used":[43],"arithmetic":[44,70,90],"average.":[45],"prove":[47],"that":[48,81],"throughput":[52,95],"converges":[53],"solution":[56],"an":[58],"ordinary":[59],"differential":[60],"equation,":[61],"a":[62],"similar":[63],"result":[64],"shown":[65],"convergence":[68],"based":[72],"Proportional":[73],"Fair":[74],"Scheduling":[75],"(PFS).":[76],"Extensive":[77],"simulation":[78,139],"results":[79],"show":[80],"UEs":[85],"throughputs":[86],"converge":[87],"faster":[88],"than":[89],"mean.":[91],"This":[92],"feature":[93],"enables":[94],"increase":[96],"cell":[99],"while":[100],"guaranteeing":[101],"better":[102],"fairness":[103],"and":[104,109],"Quality":[105],"Service":[107],"(QoS)":[108],"imposing":[110],"low":[111],"Block":[112],"Error":[113],"Ratio":[114],"(BLER).":[115],"The":[116],"superiority":[117],"proposed":[120,130],"algorithm":[121],"is":[122],"demonstrated":[123],"comparing":[125],"performance":[127],"scheduler":[131],"with":[132],"well-":[133],"known":[134],"standard":[135],"schedulers":[136],"under":[137],"different":[138],"environments.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}