{"id":"https://openalex.org/W4312834832","doi":"https://doi.org/10.1109/tvt.2022.3224368","title":"Latency Fairness Optimization on Wireless Networks Through Deep Reinforcement Learning","display_name":"Latency Fairness Optimization on Wireless Networks Through Deep Reinforcement Learning","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4312834832","doi":"https://doi.org/10.1109/tvt.2022.3224368"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2022.3224368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3224368","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/10630/40872","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002172760","display_name":"M. L\u00f3pez-S\u00e1nchez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maria L\u00f3pez-S\u00e1nchez","raw_affiliation_strings":["Communications and Signal Processing Lab, Instituto Universitario de Investigaci&#x00F3;n en Telecomunicaci&#x00F3;n (TELMA), Universidad de M&#x00E1;laga, M&#x00E1;laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Lab, Instituto Universitario de Investigaci&#x00F3;n en Telecomunicaci&#x00F3;n (TELMA), Universidad de M&#x00E1;laga, M&#x00E1;laga, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060249764","display_name":"Alejandro Villena-Rodr\u00edguez","orcid":"https://orcid.org/0000-0001-9041-997X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alejandro Villena-Rodr\u00edguez","raw_affiliation_strings":["Communications and Signal Processing Lab, Instituto Universitario de Investigaci&#x00F3;n en Telecomunicaci&#x00F3;n (TELMA), Universidad de M&#x00E1;laga, M&#x00E1;laga, Spain"],"raw_orcid":"https://orcid.org/0000-0001-9041-997X","affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Lab, Instituto Universitario de Investigaci&#x00F3;n en Telecomunicaci&#x00F3;n (TELMA), Universidad de M&#x00E1;laga, M&#x00E1;laga, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061078186","display_name":"Gerardo G\u00f3mez","orcid":"https://orcid.org/0000-0002-9715-7949"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerardo G\u00f3mez","raw_affiliation_strings":["Communications and Signal Processing Lab, Instituto Universitario de Investigaci&#x00F3;n en Telecomunicaci&#x00F3;n (TELMA), Universidad de M&#x00E1;laga, M&#x00E1;laga, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9715-7949","affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Lab, Instituto Universitario de Investigaci&#x00F3;n en Telecomunicaci&#x00F3;n (TELMA), Universidad de M&#x00E1;laga, M&#x00E1;laga, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035456018","display_name":"Francisco J. Mart\u00edn-Vega","orcid":"https://orcid.org/0000-0002-8525-9227"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francisco J. Mart\u00edn-Vega","raw_affiliation_strings":["Communications and Signal Processing Lab, Instituto Universitario de Investigaci&#x00F3;n en Telecomunicaci&#x00F3;n (TELMA), Universidad de M&#x00E1;laga, M&#x00E1;laga, Spain"],"raw_orcid":"https://orcid.org/0000-0002-8525-9227","affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Lab, Instituto Universitario de Investigaci&#x00F3;n en Telecomunicaci&#x00F3;n (TELMA), Universidad de M&#x00E1;laga, M&#x00E1;laga, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064111002","display_name":"Mari Carmen Aguayo\u2010Torres","orcid":"https://orcid.org/0000-0002-3572-4354"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mari Carmen Aguayo-Torres","raw_affiliation_strings":["Communications and Signal Processing Lab, Instituto Universitario de Investigaci&#x00F3;n en Telecomunicaci&#x00F3;n (TELMA), Universidad de M&#x00E1;laga, M&#x00E1;laga, Spain"],"raw_orcid":"https://orcid.org/0000-0002-3572-4354","affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Lab, Instituto Universitario de Investigaci&#x00F3;n en Telecomunicaci&#x00F3;n (TELMA), Universidad de M&#x00E1;laga, M&#x00E1;laga, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9352,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76326156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"72","issue":"4","first_page":"5407","last_page":"5412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9976000189781189,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9976000189781189,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9973999857902527,"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":0.9929999709129333,"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/latency","display_name":"Latency (audio)","score":0.5665743350982666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5170812606811523},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5115991234779358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4462847113609314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39153045415878296},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33099156618118286},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.085988849401474}],"concepts":[{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5665743350982666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5170812606811523},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5115991234779358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4462847113609314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39153045415878296},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33099156618118286},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.085988849401474}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2022.3224368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3224368","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:riuma.uma.es:10630/40872","is_oa":true,"landing_page_url":"https://hdl.handle.net/10630/40872","pdf_url":null,"source":{"id":"https://openalex.org/S4306401385","display_name":"Repositorio Institucional de la Universidad de M\u00e1laga (University of M\u00e1laga)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82767444","host_organization_name":"Universidad de M\u00e1laga","host_organization_lineage":["https://openalex.org/I82767444"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":{"id":"pmh:oai:riuma.uma.es:10630/40872","is_oa":true,"landing_page_url":"https://hdl.handle.net/10630/40872","pdf_url":null,"source":{"id":"https://openalex.org/S4306401385","display_name":"Repositorio Institucional de la Universidad de M\u00e1laga (University of M\u00e1laga)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82767444","host_organization_name":"Universidad de M\u00e1laga","host_organization_lineage":["https://openalex.org/I82767444"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2110605484","https://openalex.org/W2145339207","https://openalex.org/W2151523666","https://openalex.org/W2562755710","https://openalex.org/W2979912857","https://openalex.org/W2998881388","https://openalex.org/W2999146029","https://openalex.org/W3031371304","https://openalex.org/W3086473936","https://openalex.org/W3098133185","https://openalex.org/W3160306825","https://openalex.org/W3200830666","https://openalex.org/W6730697889"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2138720691","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W20361778"],"abstract_inverted_index":{"In":[0],"this":[1,21],"paper,":[2],"we":[3,23],"propose":[4],"a":[5,25,60],"novel":[6],"deep":[7],"reinforcement":[8],"learning":[9],"(DRL)":[10],"framework":[11,95],"to":[12,44],"maximize":[13],"user":[14,50,71],"fairness":[15,51,105],"in":[16,101],"terms":[17,102],"of":[18,28,69,103],"delay.":[19,54,108],"To":[20],"end,":[22],"devise":[24],"new":[26],"version":[27],"the":[29,64,70],"modified":[30],"largest":[31],"weighted":[32],"delay":[33,72],"first":[34],"(M-LWDF)":[35],"algorithm,":[36],"called":[37],"<inline-formula":[38],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[39,77,81,86],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[40],"notation=\"LaTeX\">$\\beta$</tex-math></inline-formula>":[41],"-M-LWDF,":[42],"aiming":[43],"fulfill":[45],"an":[46],"appropriate":[47],"balance":[48,56],"between":[49],"and":[52,84,106],"average":[53,107],"This":[55],"is":[57],"defined":[58],"as":[59],"feasible":[61],"region":[62],"on":[63],"cumulative":[65],"distribution":[66],"function":[67],"(CDF)":[68],"that":[73,92],"allows":[74],"identifying":[75],"<italic":[76,80,85],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">unfair</i>":[78],"states,":[79,83],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">feasible-fair</i>":[82],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">over-fair</i>":[87],"states.":[88],"Simulation":[89],"results":[90],"reveal":[91],"our":[93],"proposed":[94],"outperforms":[96],"traditional":[97],"resource":[98],"allocation":[99],"techniques":[100],"latency":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
