{"id":"https://openalex.org/W2948538253","doi":"https://doi.org/10.1109/wd.2019.8734262","title":"Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning","display_name":"Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2948538253","doi":"https://doi.org/10.1109/wd.2019.8734262","mag":"2948538253"},"language":"en","primary_location":{"id":"doi:10.1109/wd.2019.8734262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wd.2019.8734262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Wireless Days (WD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.uwe.ac.uk/41614/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070893668","display_name":"Ioan-Sorin Com\u015fa","orcid":"https://orcid.org/0000-0002-9121-0286"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ioan-Sorin Comsa","raw_affiliation_strings":["Department of Computer Science, Brunel University London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, London, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114858409","display_name":"Sijing Zhang","orcid":"https://orcid.org/0000-0002-8480-2662"},"institutions":[{"id":"https://openalex.org/I147554453","display_name":"University of Bedfordshire","ror":"https://ror.org/0400avk24","country_code":"GB","type":"education","lineage":["https://openalex.org/I147554453"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sijing Zhang","raw_affiliation_strings":["School of Computer Science and Technology, University of Bedfordshire, Luton, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Bedfordshire, Luton, U.K","institution_ids":["https://openalex.org/I147554453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723909","display_name":"Mehmet Emin Ayd\u0131n","orcid":"https://orcid.org/0000-0002-4890-5648"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mehmet Aydin","raw_affiliation_strings":["Dept. of Computer Science and Creative Technologies, Univ. of the West of England, Bristol, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Creative Technologies, Univ. of the West of England, Bristol, U.K","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109155694","display_name":"Pierre Kuonen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095958","display_name":"School of Engineering and Architecture of Fribourg","ror":"https://ror.org/00px2aj27","country_code":"CH","type":"education","lineage":["https://openalex.org/I173439891","https://openalex.org/I4210095958"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Pierre Kuonen","raw_affiliation_strings":["Dept. of Communications and Information Technology, HEIA-FR, Fribourg, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Communications and Information Technology, HEIA-FR, Fribourg, Switzerland","institution_ids":["https://openalex.org/I4210095958"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028937831","display_name":"Ramona Trestian","orcid":"https://orcid.org/0000-0003-3315-3081"},"institutions":[{"id":"https://openalex.org/I60488453","display_name":"Middlesex University","ror":"https://ror.org/01rv4p989","country_code":"GB","type":"education","lineage":["https://openalex.org/I60488453"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ramona Trestian","raw_affiliation_strings":["Faculty of Science and Technology, Middlesex University London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Middlesex University London, London, U.K","institution_ids":["https://openalex.org/I60488453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084177841","display_name":"Gheorghi\u021b\u0103 Ghinea","orcid":"https://orcid.org/0000-0003-2578-5580"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gheorghita Ghinea","raw_affiliation_strings":["Department of Computer Science, Brunel University London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, London, U.K","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6055,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68689274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998000264167786,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998000264167786,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9998000264167786,"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":0.9944999814033508,"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/fairness-measure","display_name":"Fairness measure","score":0.8597870469093323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8219003677368164},{"id":"https://openalex.org/keywords/maximum-throughput-scheduling","display_name":"Maximum throughput scheduling","score":0.759434700012207},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7456350326538086},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.647040605545044},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5721926689147949},{"id":"https://openalex.org/keywords/max-min-fairness","display_name":"Max-min fairness","score":0.5651536583900452},{"id":"https://openalex.org/keywords/proportionally-fair","display_name":"Proportionally fair","score":0.5555093884468079},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.44649118185043335},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.44550856947898865},{"id":"https://openalex.org/keywords/radio-resource-management","display_name":"Radio resource management","score":0.4332614839076996},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.42961329221725464},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4217204451560974},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4172121286392212},{"id":"https://openalex.org/keywords/radio-access-network","display_name":"Radio access network","score":0.414779394865036},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3781486749649048},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.32320380210876465},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.30290961265563965},{"id":"https://openalex.org/keywords/round-robin-scheduling","display_name":"Round-robin scheduling","score":0.24193546175956726},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.1992897391319275},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.19201532006263733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18487414717674255},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.14106759428977966},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.13010674715042114},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08540165424346924}],"concepts":[{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.8597870469093323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8219003677368164},{"id":"https://openalex.org/C29722447","wikidata":"https://www.wikidata.org/wiki/Q17097321","display_name":"Maximum throughput scheduling","level":5,"score":0.759434700012207},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7456350326538086},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.647040605545044},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5721926689147949},{"id":"https://openalex.org/C177972170","wikidata":"https://www.wikidata.org/wiki/Q17097315","display_name":"Max-min fairness","level":3,"score":0.5651536583900452},{"id":"https://openalex.org/C86127852","wikidata":"https://www.wikidata.org/wiki/Q7250364","display_name":"Proportionally fair","level":5,"score":0.5555093884468079},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.44649118185043335},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.44550856947898865},{"id":"https://openalex.org/C182448111","wikidata":"https://www.wikidata.org/wiki/Q7281197","display_name":"Radio resource management","level":4,"score":0.4332614839076996},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.42961329221725464},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4217204451560974},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4172121286392212},{"id":"https://openalex.org/C106365562","wikidata":"https://www.wikidata.org/wiki/Q3078360","display_name":"Radio access network","level":4,"score":0.414779394865036},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3781486749649048},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.32320380210876465},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.30290961265563965},{"id":"https://openalex.org/C175893541","wikidata":"https://www.wikidata.org/wiki/Q1196582","display_name":"Round-robin scheduling","level":4,"score":0.24193546175956726},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.1992897391319275},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.19201532006263733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18487414717674255},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.14106759428977966},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.13010674715042114},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08540165424346924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C207029474","wikidata":"https://www.wikidata.org/wiki/Q384018","display_name":"Mobile station","level":3,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/wd.2019.8734262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wd.2019.8734262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Wireless Days (WD)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.mdx.ac.uk:26438","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400025","display_name":"Middlesex University Research Repository (Middlesex University Of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60488453","host_organization_name":"Middlesex University","host_organization_lineage":["https://openalex.org/I60488453"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:eprints.uwe.ac.uk:41614","is_oa":true,"landing_page_url":"http://eprints.uwe.ac.uk/41614/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:hesso.tind.io:4487","is_oa":false,"landing_page_url":"https://arodes.hes-so.ch/record/4487/files/published%20version.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402432","display_name":"ArODES (HES-SO (https://www.hes-so.ch/))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210088449","host_organization_name":"HES-SO Gen\u00e8ve","host_organization_lineage":["https://openalex.org/I4210088449"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arodes.hes-so.ch/record/4487","raw_type":"Text"},{"id":"pmh:oai:uobrep.openrepository.com:10547/624167","is_oa":false,"landing_page_url":"http://hdl.handle.net/10547/624167","pdf_url":null,"source":{"id":"https://openalex.org/S4306400178","display_name":"University of Bedfordshire Repository (University of Bedfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I147554453","host_organization_name":"University of Bedfordshire","host_organization_lineage":["https://openalex.org/I147554453"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference papers, meetings and proceedings"}],"best_oa_location":{"id":"pmh:oai:eprints.uwe.ac.uk:41614","is_oa":true,"landing_page_url":"http://eprints.uwe.ac.uk/41614/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1630733292","https://openalex.org/W1969791930","https://openalex.org/W1974879901","https://openalex.org/W2020909399","https://openalex.org/W2024250466","https://openalex.org/W2054692642","https://openalex.org/W2072947655","https://openalex.org/W2074128438","https://openalex.org/W2119981423","https://openalex.org/W2121863487","https://openalex.org/W2164858444","https://openalex.org/W2170372734","https://openalex.org/W2246743902","https://openalex.org/W2479924268","https://openalex.org/W2547524625","https://openalex.org/W2597014865","https://openalex.org/W2608932662","https://openalex.org/W2889997943","https://openalex.org/W2890483234","https://openalex.org/W2891171329","https://openalex.org/W6636933019","https://openalex.org/W6677916085","https://openalex.org/W6754407128"],"related_works":["https://openalex.org/W1605983382","https://openalex.org/W1999684000","https://openalex.org/W2402400303","https://openalex.org/W2320592338","https://openalex.org/W2138888940","https://openalex.org/W2369668848","https://openalex.org/W2136681811","https://openalex.org/W3006570067","https://openalex.org/W2165715302","https://openalex.org/W1974879901"],"abstract_inverted_index":{"The":[0,121],"problem":[1],"of":[2,39,134,168],"radio":[3,16],"resource":[4],"scheduling":[5,89],"subject":[6],"to":[7,23,58,61,84,97,129,143],"fairness":[8,20,34,70,141,160],"satisfaction":[9,35],"is":[10,72,127],"very":[11],"challenging":[12],"even":[13],"in":[14,146],"future":[15],"access":[17],"networks.":[18],"Standard":[19],"criteria":[21],"aim":[22],"find":[24],"the":[25,44,50,62,68,86,99,105,108,115,131,139,154,158],"best":[26,132,140],"trade-off":[27],"between":[28],"overall":[29],"throughput":[30],"maximization":[31],"and":[32],"user":[33,69,100],"under":[36],"various":[37],"types":[38,167],"network":[40],"conditions.":[41],"However,":[42],"at":[43,91],"Radio":[45],"Resource":[46],"Management":[47],"(RRM)":[48],"level,":[49],"existing":[51,159],"schedulers":[52],"are":[53,111],"rather":[54],"static":[55],"being":[56],"unable":[57],"react":[59],"according":[60],"momentary":[63,148],"networking":[64],"conditions":[65],"so":[66],"that":[67,137,153],"measure":[71],"maximized":[73],"all":[74],"time.":[75],"This":[76],"paper":[77],"proposes":[78],"a":[79],"dynamic":[80],"scheduler":[81],"framework":[82,106,156],"able":[83],"parameterize":[85],"proportional":[87],"fair":[88],"rule":[90],"each":[92,147],"Transmission":[93],"Time":[94],"Interval":[95],"(TTI)":[96],"improve":[98],"fairness.":[101],"To":[102],"deal":[103],"with":[104],"complexity,":[107],"parameterization":[109],"decisions":[110],"approximated":[112],"by":[113],"using":[114],"neural":[116],"networks":[117],"as":[118,163,165],"non-linear":[119,135],"functions.":[120],"actor-critic":[122],"Reinforcement":[123],"Learning":[124],"(RL)":[125],"algorithm":[126],"used":[128],"learn":[130],"set":[133],"functions":[136],"approximate":[138],"parameters":[142],"be":[144],"applied":[145],"state.":[149],"Simulations":[150],"results":[151],"reveal":[152],"proposed":[155],"outperforms":[157],"adaptation":[161],"techniques":[162],"well":[164],"other":[166],"RL-based":[169],"schedulers.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}